Intelligent 3D layout optimization design of ship engine room based on knowledge-based engineering

The layout design of ship engine room belongs to the multi-objective optimization design problem in confined space. This paper proposes an intelligent three-dimensional (3D) layout optimization design method of ship engine room based on the combination of knowledge-based engineering (KBE) and intell...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Wang, Yunlong [verfasserIn] Jiang, Yunbo [verfasserIn] Gu, Yujie [verfasserIn] Jin, Chaoguang [verfasserIn] Chen, Ming [verfasserIn] Yang, Qu [verfasserIn] Guan, Guan [verfasserIn] Chai, Shuhong [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2024

Schlagwörter:	Ship engine room Intelligent 3D layout Knowledge-based engineering (KBE) Simulated annealing algorithm (SAA) Virtual area Classification rules

Übergeordnetes Werk:	Enthalten in: Ocean engineering - Amsterdam [u.a.] : Elsevier Science, 1970, 295
Übergeordnetes Werk:	volume:295

DOI / URN:	10.1016/j.oceaneng.2024.116966

Katalog-ID:	ELV067094090

Internformat


LEADER	01000caa a22002652 4500
001	ELV067094090
003	DE-627
005	20240219093057.0
007	cr uuu---uuuuu
008	240217s2024 xx \|\|\|\|\|o 00\| \|\|eng c
024	7		\|a 10.1016/j.oceaneng.2024.116966 \|2 doi
035			\|a (DE-627)ELV067094090
035			\|a (ELSEVIER)S0029-8018(24)00303-2
040			\|a DE-627 \|b ger \|c DE-627 \|e rda
041			\|a eng
082	0	4	\|a 690 \|q VZ
084			\|a 50.92 \|2 bkl
100	1		\|a Wang, Yunlong \|e verfasserin \|0 (orcid)0000-0003-0834-664X \|4 aut
245	1	0	\|a Intelligent 3D layout optimization design of ship engine room based on knowledge-based engineering
264		1	\|c 2024
336			\|a nicht spezifiziert \|b zzz \|2 rdacontent
337			\|a Computermedien \|b c \|2 rdamedia
338			\|a Online-Ressource \|b cr \|2 rdacarrier
520			\|a The layout design of ship engine room belongs to the multi-objective optimization design problem in confined space. This paper proposes an intelligent three-dimensional (3D) layout optimization design method of ship engine room based on the combination of knowledge-based engineering (KBE) and intelligent optimization algorithm. Firstly, the initial 3D layout scheme of engine room equipment is automatically obtained by the KBE method including knowledge acquisition, knowledge representation and knowledge reasoning. Then the multi-objective optimization of ship engine room layout is performed by the simulated annealing algorithm (SAA) to acquire the optimal design scheme. The classification rules of ship engine room are established to improve the efficiency of knowledge acquisition. The rule of adding the virtual area is proposed to control the equipment spacing. The parametric assembly is used to complete knowledge reasoning. Three expert verification rules including heeling moment, interference inspection and escape time are established for the generated layout scheme. Finally, a case study result verifies the feasibility and effectiveness of the proposed method. The visualization and automation of the 3D layout for ship engine room are successfully realized.
650		4	\|a Ship engine room
650		4	\|a Intelligent 3D layout
650		4	\|a Knowledge-based engineering (KBE)
650		4	\|a Simulated annealing algorithm (SAA)
650		4	\|a Virtual area
650		4	\|a Classification rules
700	1		\|a Jiang, Yunbo \|e verfasserin \|4 aut
700	1		\|a Gu, Yujie \|e verfasserin \|4 aut
700	1		\|a Jin, Chaoguang \|e verfasserin \|4 aut
700	1		\|a Chen, Ming \|e verfasserin \|4 aut
700	1		\|a Yang, Qu \|e verfasserin \|4 aut
700	1		\|a Guan, Guan \|e verfasserin \|0 (orcid)0000-0002-6781-9948 \|4 aut
700	1		\|a Chai, Shuhong \|e verfasserin \|0 (orcid)0000-0001-5186-4456 \|4 aut
773	0	8	\|i Enthalten in \|t Ocean engineering \|d Amsterdam [u.a.] : Elsevier Science, 1970 \|g 295 \|h Online-Ressource \|w (DE-627)30658977X \|w (DE-600)1498543-3 \|w (DE-576)259484164 \|x 0029-8018 \|7 nnns
773	1	8	\|g volume:295
912			\|a GBV_USEFLAG_U
912			\|a GBV_ELV
912			\|a SYSFLAG_U
912			\|a GBV_ILN_20
912			\|a GBV_ILN_22
912			\|a GBV_ILN_23
912			\|a GBV_ILN_24
912			\|a GBV_ILN_31
912			\|a GBV_ILN_32
912			\|a GBV_ILN_40
912			\|a GBV_ILN_60
912			\|a GBV_ILN_62
912			\|a GBV_ILN_65
912			\|a GBV_ILN_69
912			\|a GBV_ILN_70
912			\|a GBV_ILN_73
912			\|a GBV_ILN_74
912			\|a GBV_ILN_90
912			\|a GBV_ILN_95
912			\|a GBV_ILN_100
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_150
912			\|a GBV_ILN_151
912			\|a GBV_ILN_187
912			\|a GBV_ILN_213
912			\|a GBV_ILN_224
912			\|a GBV_ILN_230
912			\|a GBV_ILN_370
912			\|a GBV_ILN_602
912			\|a GBV_ILN_702
912			\|a GBV_ILN_2001
912			\|a GBV_ILN_2003
912			\|a GBV_ILN_2004
912			\|a GBV_ILN_2005
912			\|a GBV_ILN_2007
912			\|a GBV_ILN_2008
912			\|a GBV_ILN_2009
912			\|a GBV_ILN_2010
912			\|a GBV_ILN_2011
912			\|a GBV_ILN_2014
912			\|a GBV_ILN_2015
912			\|a GBV_ILN_2020
912			\|a GBV_ILN_2021
912			\|a GBV_ILN_2025
912			\|a GBV_ILN_2026
912			\|a GBV_ILN_2027
912			\|a GBV_ILN_2034
912			\|a GBV_ILN_2044
912			\|a GBV_ILN_2048
912			\|a GBV_ILN_2049
912			\|a GBV_ILN_2050
912			\|a GBV_ILN_2055
912			\|a GBV_ILN_2056
912			\|a GBV_ILN_2059
912			\|a GBV_ILN_2061
912			\|a GBV_ILN_2064
912			\|a GBV_ILN_2088
912			\|a GBV_ILN_2106
912			\|a GBV_ILN_2110
912			\|a GBV_ILN_2111
912			\|a GBV_ILN_2112
912			\|a GBV_ILN_2122
912			\|a GBV_ILN_2129
912			\|a GBV_ILN_2143
912			\|a GBV_ILN_2152
912			\|a GBV_ILN_2153
912			\|a GBV_ILN_2190
912			\|a GBV_ILN_2232
912			\|a GBV_ILN_2336
912			\|a GBV_ILN_2470
912			\|a GBV_ILN_2507
912			\|a GBV_ILN_4035
912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4112
912			\|a GBV_ILN_4125
912			\|a GBV_ILN_4242
912			\|a GBV_ILN_4249
912			\|a GBV_ILN_4251
912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4306
912			\|a GBV_ILN_4307
912			\|a GBV_ILN_4313
912			\|a GBV_ILN_4322
912			\|a GBV_ILN_4323
912			\|a GBV_ILN_4324
912			\|a GBV_ILN_4325
912			\|a GBV_ILN_4326
912			\|a GBV_ILN_4333
912			\|a GBV_ILN_4334
912			\|a GBV_ILN_4338
912			\|a GBV_ILN_4393
912			\|a GBV_ILN_4700
936	b	k	\|a 50.92 \|j Meerestechnik \|q VZ
951			\|a AR
952			\|d 295

Indexfelder

author_variant	y w yw y j yj y g yg c j cj m c mc q y qy g g gg s c sc
matchkey_str	article:00298018:2024----::nelgn3lyuotmztodsgosiegnrobsdnn
hierarchy_sort_str	2024
bklnumber	50.92
publishDate	2024
allfields	10.1016/j.oceaneng.2024.116966 doi (DE-627)ELV067094090 (ELSEVIER)S0029-8018(24)00303-2 DE-627 ger DE-627 rda eng 690 VZ 50.92 bkl Wang, Yunlong verfasserin (orcid)0000-0003-0834-664X aut Intelligent 3D layout optimization design of ship engine room based on knowledge-based engineering 2024 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The layout design of ship engine room belongs to the multi-objective optimization design problem in confined space. This paper proposes an intelligent three-dimensional (3D) layout optimization design method of ship engine room based on the combination of knowledge-based engineering (KBE) and intelligent optimization algorithm. Firstly, the initial 3D layout scheme of engine room equipment is automatically obtained by the KBE method including knowledge acquisition, knowledge representation and knowledge reasoning. Then the multi-objective optimization of ship engine room layout is performed by the simulated annealing algorithm (SAA) to acquire the optimal design scheme. The classification rules of ship engine room are established to improve the efficiency of knowledge acquisition. The rule of adding the virtual area is proposed to control the equipment spacing. The parametric assembly is used to complete knowledge reasoning. Three expert verification rules including heeling moment, interference inspection and escape time are established for the generated layout scheme. Finally, a case study result verifies the feasibility and effectiveness of the proposed method. The visualization and automation of the 3D layout for ship engine room are successfully realized. Ship engine room Intelligent 3D layout Knowledge-based engineering (KBE) Simulated annealing algorithm (SAA) Virtual area Classification rules Jiang, Yunbo verfasserin aut Gu, Yujie verfasserin aut Jin, Chaoguang verfasserin aut Chen, Ming verfasserin aut Yang, Qu verfasserin aut Guan, Guan verfasserin (orcid)0000-0002-6781-9948 aut Chai, Shuhong verfasserin (orcid)0000-0001-5186-4456 aut Enthalten in Ocean engineering Amsterdam [u.a.] : Elsevier Science, 1970 295 Online-Ressource (DE-627)30658977X (DE-600)1498543-3 (DE-576)259484164 0029-8018 nnns volume:295 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 50.92 Meerestechnik VZ AR 295
spelling	10.1016/j.oceaneng.2024.116966 doi (DE-627)ELV067094090 (ELSEVIER)S0029-8018(24)00303-2 DE-627 ger DE-627 rda eng 690 VZ 50.92 bkl Wang, Yunlong verfasserin (orcid)0000-0003-0834-664X aut Intelligent 3D layout optimization design of ship engine room based on knowledge-based engineering 2024 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The layout design of ship engine room belongs to the multi-objective optimization design problem in confined space. This paper proposes an intelligent three-dimensional (3D) layout optimization design method of ship engine room based on the combination of knowledge-based engineering (KBE) and intelligent optimization algorithm. Firstly, the initial 3D layout scheme of engine room equipment is automatically obtained by the KBE method including knowledge acquisition, knowledge representation and knowledge reasoning. Then the multi-objective optimization of ship engine room layout is performed by the simulated annealing algorithm (SAA) to acquire the optimal design scheme. The classification rules of ship engine room are established to improve the efficiency of knowledge acquisition. The rule of adding the virtual area is proposed to control the equipment spacing. The parametric assembly is used to complete knowledge reasoning. Three expert verification rules including heeling moment, interference inspection and escape time are established for the generated layout scheme. Finally, a case study result verifies the feasibility and effectiveness of the proposed method. The visualization and automation of the 3D layout for ship engine room are successfully realized. Ship engine room Intelligent 3D layout Knowledge-based engineering (KBE) Simulated annealing algorithm (SAA) Virtual area Classification rules Jiang, Yunbo verfasserin aut Gu, Yujie verfasserin aut Jin, Chaoguang verfasserin aut Chen, Ming verfasserin aut Yang, Qu verfasserin aut Guan, Guan verfasserin (orcid)0000-0002-6781-9948 aut Chai, Shuhong verfasserin (orcid)0000-0001-5186-4456 aut Enthalten in Ocean engineering Amsterdam [u.a.] : Elsevier Science, 1970 295 Online-Ressource (DE-627)30658977X (DE-600)1498543-3 (DE-576)259484164 0029-8018 nnns volume:295 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 50.92 Meerestechnik VZ AR 295
allfields_unstemmed	10.1016/j.oceaneng.2024.116966 doi (DE-627)ELV067094090 (ELSEVIER)S0029-8018(24)00303-2 DE-627 ger DE-627 rda eng 690 VZ 50.92 bkl Wang, Yunlong verfasserin (orcid)0000-0003-0834-664X aut Intelligent 3D layout optimization design of ship engine room based on knowledge-based engineering 2024 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The layout design of ship engine room belongs to the multi-objective optimization design problem in confined space. This paper proposes an intelligent three-dimensional (3D) layout optimization design method of ship engine room based on the combination of knowledge-based engineering (KBE) and intelligent optimization algorithm. Firstly, the initial 3D layout scheme of engine room equipment is automatically obtained by the KBE method including knowledge acquisition, knowledge representation and knowledge reasoning. Then the multi-objective optimization of ship engine room layout is performed by the simulated annealing algorithm (SAA) to acquire the optimal design scheme. The classification rules of ship engine room are established to improve the efficiency of knowledge acquisition. The rule of adding the virtual area is proposed to control the equipment spacing. The parametric assembly is used to complete knowledge reasoning. Three expert verification rules including heeling moment, interference inspection and escape time are established for the generated layout scheme. Finally, a case study result verifies the feasibility and effectiveness of the proposed method. The visualization and automation of the 3D layout for ship engine room are successfully realized. Ship engine room Intelligent 3D layout Knowledge-based engineering (KBE) Simulated annealing algorithm (SAA) Virtual area Classification rules Jiang, Yunbo verfasserin aut Gu, Yujie verfasserin aut Jin, Chaoguang verfasserin aut Chen, Ming verfasserin aut Yang, Qu verfasserin aut Guan, Guan verfasserin (orcid)0000-0002-6781-9948 aut Chai, Shuhong verfasserin (orcid)0000-0001-5186-4456 aut Enthalten in Ocean engineering Amsterdam [u.a.] : Elsevier Science, 1970 295 Online-Ressource (DE-627)30658977X (DE-600)1498543-3 (DE-576)259484164 0029-8018 nnns volume:295 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 50.92 Meerestechnik VZ AR 295
allfieldsGer	10.1016/j.oceaneng.2024.116966 doi (DE-627)ELV067094090 (ELSEVIER)S0029-8018(24)00303-2 DE-627 ger DE-627 rda eng 690 VZ 50.92 bkl Wang, Yunlong verfasserin (orcid)0000-0003-0834-664X aut Intelligent 3D layout optimization design of ship engine room based on knowledge-based engineering 2024 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The layout design of ship engine room belongs to the multi-objective optimization design problem in confined space. This paper proposes an intelligent three-dimensional (3D) layout optimization design method of ship engine room based on the combination of knowledge-based engineering (KBE) and intelligent optimization algorithm. Firstly, the initial 3D layout scheme of engine room equipment is automatically obtained by the KBE method including knowledge acquisition, knowledge representation and knowledge reasoning. Then the multi-objective optimization of ship engine room layout is performed by the simulated annealing algorithm (SAA) to acquire the optimal design scheme. The classification rules of ship engine room are established to improve the efficiency of knowledge acquisition. The rule of adding the virtual area is proposed to control the equipment spacing. The parametric assembly is used to complete knowledge reasoning. Three expert verification rules including heeling moment, interference inspection and escape time are established for the generated layout scheme. Finally, a case study result verifies the feasibility and effectiveness of the proposed method. The visualization and automation of the 3D layout for ship engine room are successfully realized. Ship engine room Intelligent 3D layout Knowledge-based engineering (KBE) Simulated annealing algorithm (SAA) Virtual area Classification rules Jiang, Yunbo verfasserin aut Gu, Yujie verfasserin aut Jin, Chaoguang verfasserin aut Chen, Ming verfasserin aut Yang, Qu verfasserin aut Guan, Guan verfasserin (orcid)0000-0002-6781-9948 aut Chai, Shuhong verfasserin (orcid)0000-0001-5186-4456 aut Enthalten in Ocean engineering Amsterdam [u.a.] : Elsevier Science, 1970 295 Online-Ressource (DE-627)30658977X (DE-600)1498543-3 (DE-576)259484164 0029-8018 nnns volume:295 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 50.92 Meerestechnik VZ AR 295
allfieldsSound	10.1016/j.oceaneng.2024.116966 doi (DE-627)ELV067094090 (ELSEVIER)S0029-8018(24)00303-2 DE-627 ger DE-627 rda eng 690 VZ 50.92 bkl Wang, Yunlong verfasserin (orcid)0000-0003-0834-664X aut Intelligent 3D layout optimization design of ship engine room based on knowledge-based engineering 2024 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The layout design of ship engine room belongs to the multi-objective optimization design problem in confined space. This paper proposes an intelligent three-dimensional (3D) layout optimization design method of ship engine room based on the combination of knowledge-based engineering (KBE) and intelligent optimization algorithm. Firstly, the initial 3D layout scheme of engine room equipment is automatically obtained by the KBE method including knowledge acquisition, knowledge representation and knowledge reasoning. Then the multi-objective optimization of ship engine room layout is performed by the simulated annealing algorithm (SAA) to acquire the optimal design scheme. The classification rules of ship engine room are established to improve the efficiency of knowledge acquisition. The rule of adding the virtual area is proposed to control the equipment spacing. The parametric assembly is used to complete knowledge reasoning. Three expert verification rules including heeling moment, interference inspection and escape time are established for the generated layout scheme. Finally, a case study result verifies the feasibility and effectiveness of the proposed method. The visualization and automation of the 3D layout for ship engine room are successfully realized. Ship engine room Intelligent 3D layout Knowledge-based engineering (KBE) Simulated annealing algorithm (SAA) Virtual area Classification rules Jiang, Yunbo verfasserin aut Gu, Yujie verfasserin aut Jin, Chaoguang verfasserin aut Chen, Ming verfasserin aut Yang, Qu verfasserin aut Guan, Guan verfasserin (orcid)0000-0002-6781-9948 aut Chai, Shuhong verfasserin (orcid)0000-0001-5186-4456 aut Enthalten in Ocean engineering Amsterdam [u.a.] : Elsevier Science, 1970 295 Online-Ressource (DE-627)30658977X (DE-600)1498543-3 (DE-576)259484164 0029-8018 nnns volume:295 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 50.92 Meerestechnik VZ AR 295
language	English
source	Enthalten in Ocean engineering 295 volume:295
sourceStr	Enthalten in Ocean engineering 295 volume:295
format_phy_str_mv	Article
bklname	Meerestechnik
institution	findex.gbv.de
topic_facet	Ship engine room Intelligent 3D layout Knowledge-based engineering (KBE) Simulated annealing algorithm (SAA) Virtual area Classification rules
dewey-raw	690
isfreeaccess_bool	false
container_title	Ocean engineering
authorswithroles_txt_mv	Wang, Yunlong @@aut@@ Jiang, Yunbo @@aut@@ Gu, Yujie @@aut@@ Jin, Chaoguang @@aut@@ Chen, Ming @@aut@@ Yang, Qu @@aut@@ Guan, Guan @@aut@@ Chai, Shuhong @@aut@@
publishDateDaySort_date	2024-01-01T00:00:00Z
hierarchy_top_id	30658977X
dewey-sort	3690
id	ELV067094090
language_de	englisch
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV067094090</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20240219093057.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">240217s2024 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.oceaneng.2024.116966</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV067094090</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0029-8018(24)00303-2</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">690</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">50.92</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Wang, Yunlong</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0003-0834-664X</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Intelligent 3D layout optimization design of ship engine room based on knowledge-based engineering</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2024</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The layout design of ship engine room belongs to the multi-objective optimization design problem in confined space. This paper proposes an intelligent three-dimensional (3D) layout optimization design method of ship engine room based on the combination of knowledge-based engineering (KBE) and intelligent optimization algorithm. Firstly, the initial 3D layout scheme of engine room equipment is automatically obtained by the KBE method including knowledge acquisition, knowledge representation and knowledge reasoning. Then the multi-objective optimization of ship engine room layout is performed by the simulated annealing algorithm (SAA) to acquire the optimal design scheme. The classification rules of ship engine room are established to improve the efficiency of knowledge acquisition. The rule of adding the virtual area is proposed to control the equipment spacing. The parametric assembly is used to complete knowledge reasoning. Three expert verification rules including heeling moment, interference inspection and escape time are established for the generated layout scheme. Finally, a case study result verifies the feasibility and effectiveness of the proposed method. The visualization and automation of the 3D layout for ship engine room are successfully realized.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Ship engine room</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Intelligent 3D layout</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Knowledge-based engineering (KBE)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Simulated annealing algorithm (SAA)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Virtual area</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Classification rules</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Jiang, Yunbo</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gu, Yujie</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Jin, Chaoguang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Chen, Ming</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Yang, Qu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Guan, Guan</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0002-6781-9948</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Chai, Shuhong</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0001-5186-4456</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Ocean engineering</subfield><subfield code="d">Amsterdam [u.a.] : Elsevier Science, 1970</subfield><subfield code="g">295</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)30658977X</subfield><subfield code="w">(DE-600)1498543-3</subfield><subfield code="w">(DE-576)259484164</subfield><subfield code="x">0029-8018</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:295</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_32</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_90</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_100</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_150</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_187</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_224</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_702</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2001</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2003</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2004</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2007</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2008</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2009</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2010</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2011</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2015</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2020</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2021</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2025</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2026</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2027</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2034</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2044</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2048</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2049</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2050</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2056</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2059</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2061</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2064</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2088</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2106</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2111</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2122</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2129</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2143</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2153</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2190</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2232</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2470</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2507</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4035</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4242</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4251</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4326</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4333</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4334</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4393</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">50.92</subfield><subfield code="j">Meerestechnik</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">295</subfield></datafield></record></collection>
author	Wang, Yunlong
spellingShingle	Wang, Yunlong ddc 690 bkl 50.92 misc Ship engine room misc Intelligent 3D layout misc Knowledge-based engineering (KBE) misc Simulated annealing algorithm (SAA) misc Virtual area misc Classification rules Intelligent 3D layout optimization design of ship engine room based on knowledge-based engineering
authorStr	Wang, Yunlong
ppnlink_with_tag_str_mv	@@773@@(DE-627)30658977X
format	electronic Article
dewey-ones	690 - Buildings
delete_txt_mv	keep
author_role	aut aut aut aut aut aut aut aut
collection	elsevier
remote_str	true
illustrated	Not Illustrated
issn	0029-8018
topic_title	690 VZ 50.92 bkl Intelligent 3D layout optimization design of ship engine room based on knowledge-based engineering Ship engine room Intelligent 3D layout Knowledge-based engineering (KBE) Simulated annealing algorithm (SAA) Virtual area Classification rules
topic	ddc 690 bkl 50.92 misc Ship engine room misc Intelligent 3D layout misc Knowledge-based engineering (KBE) misc Simulated annealing algorithm (SAA) misc Virtual area misc Classification rules
topic_unstemmed	ddc 690 bkl 50.92 misc Ship engine room misc Intelligent 3D layout misc Knowledge-based engineering (KBE) misc Simulated annealing algorithm (SAA) misc Virtual area misc Classification rules
topic_browse	ddc 690 bkl 50.92 misc Ship engine room misc Intelligent 3D layout misc Knowledge-based engineering (KBE) misc Simulated annealing algorithm (SAA) misc Virtual area misc Classification rules
format_facet	Elektronische Aufsätze Aufsätze Elektronische Ressource
format_main_str_mv	Text Zeitschrift/Artikel
carriertype_str_mv	cr
hierarchy_parent_title	Ocean engineering
hierarchy_parent_id	30658977X
dewey-tens	690 - Building & construction
hierarchy_top_title	Ocean engineering
isfreeaccess_txt	false
familylinks_str_mv	(DE-627)30658977X (DE-600)1498543-3 (DE-576)259484164
title	Intelligent 3D layout optimization design of ship engine room based on knowledge-based engineering
ctrlnum	(DE-627)ELV067094090 (ELSEVIER)S0029-8018(24)00303-2
title_full	Intelligent 3D layout optimization design of ship engine room based on knowledge-based engineering
author_sort	Wang, Yunlong
journal	Ocean engineering
journalStr	Ocean engineering
lang_code	eng
isOA_bool	false
dewey-hundreds	600 - Technology
recordtype	marc
publishDateSort	2024
contenttype_str_mv	zzz
author_browse	Wang, Yunlong Jiang, Yunbo Gu, Yujie Jin, Chaoguang Chen, Ming Yang, Qu Guan, Guan Chai, Shuhong
container_volume	295
class	690 VZ 50.92 bkl
format_se	Elektronische Aufsätze
author-letter	Wang, Yunlong
doi_str_mv	10.1016/j.oceaneng.2024.116966
normlink	(ORCID)0000-0003-0834-664X (ORCID)0000-0002-6781-9948 (ORCID)0000-0001-5186-4456
normlink_prefix_str_mv	(orcid)0000-0003-0834-664X (orcid)0000-0002-6781-9948 (orcid)0000-0001-5186-4456
dewey-full	690
author2-role	verfasserin
title_sort	intelligent 3d layout optimization design of ship engine room based on knowledge-based engineering
title_auth	Intelligent 3D layout optimization design of ship engine room based on knowledge-based engineering
abstract	The layout design of ship engine room belongs to the multi-objective optimization design problem in confined space. This paper proposes an intelligent three-dimensional (3D) layout optimization design method of ship engine room based on the combination of knowledge-based engineering (KBE) and intelligent optimization algorithm. Firstly, the initial 3D layout scheme of engine room equipment is automatically obtained by the KBE method including knowledge acquisition, knowledge representation and knowledge reasoning. Then the multi-objective optimization of ship engine room layout is performed by the simulated annealing algorithm (SAA) to acquire the optimal design scheme. The classification rules of ship engine room are established to improve the efficiency of knowledge acquisition. The rule of adding the virtual area is proposed to control the equipment spacing. The parametric assembly is used to complete knowledge reasoning. Three expert verification rules including heeling moment, interference inspection and escape time are established for the generated layout scheme. Finally, a case study result verifies the feasibility and effectiveness of the proposed method. The visualization and automation of the 3D layout for ship engine room are successfully realized.
abstractGer	The layout design of ship engine room belongs to the multi-objective optimization design problem in confined space. This paper proposes an intelligent three-dimensional (3D) layout optimization design method of ship engine room based on the combination of knowledge-based engineering (KBE) and intelligent optimization algorithm. Firstly, the initial 3D layout scheme of engine room equipment is automatically obtained by the KBE method including knowledge acquisition, knowledge representation and knowledge reasoning. Then the multi-objective optimization of ship engine room layout is performed by the simulated annealing algorithm (SAA) to acquire the optimal design scheme. The classification rules of ship engine room are established to improve the efficiency of knowledge acquisition. The rule of adding the virtual area is proposed to control the equipment spacing. The parametric assembly is used to complete knowledge reasoning. Three expert verification rules including heeling moment, interference inspection and escape time are established for the generated layout scheme. Finally, a case study result verifies the feasibility and effectiveness of the proposed method. The visualization and automation of the 3D layout for ship engine room are successfully realized.
abstract_unstemmed	The layout design of ship engine room belongs to the multi-objective optimization design problem in confined space. This paper proposes an intelligent three-dimensional (3D) layout optimization design method of ship engine room based on the combination of knowledge-based engineering (KBE) and intelligent optimization algorithm. Firstly, the initial 3D layout scheme of engine room equipment is automatically obtained by the KBE method including knowledge acquisition, knowledge representation and knowledge reasoning. Then the multi-objective optimization of ship engine room layout is performed by the simulated annealing algorithm (SAA) to acquire the optimal design scheme. The classification rules of ship engine room are established to improve the efficiency of knowledge acquisition. The rule of adding the virtual area is proposed to control the equipment spacing. The parametric assembly is used to complete knowledge reasoning. Three expert verification rules including heeling moment, interference inspection and escape time are established for the generated layout scheme. Finally, a case study result verifies the feasibility and effectiveness of the proposed method. The visualization and automation of the 3D layout for ship engine room are successfully realized.
collection_details	GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700
title_short	Intelligent 3D layout optimization design of ship engine room based on knowledge-based engineering
remote_bool	true
author2	Jiang, Yunbo Gu, Yujie Jin, Chaoguang Chen, Ming Yang, Qu Guan, Guan Chai, Shuhong
author2Str	Jiang, Yunbo Gu, Yujie Jin, Chaoguang Chen, Ming Yang, Qu Guan, Guan Chai, Shuhong
ppnlink	30658977X
mediatype_str_mv	c
isOA_txt	false
hochschulschrift_bool	false
doi_str	10.1016/j.oceaneng.2024.116966
up_date	2024-07-06T20:04:11.728Z
_version_	1803861362455085056
fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV067094090</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20240219093057.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">240217s2024 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.oceaneng.2024.116966</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV067094090</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0029-8018(24)00303-2</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">690</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">50.92</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Wang, Yunlong</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0003-0834-664X</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Intelligent 3D layout optimization design of ship engine room based on knowledge-based engineering</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2024</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The layout design of ship engine room belongs to the multi-objective optimization design problem in confined space. This paper proposes an intelligent three-dimensional (3D) layout optimization design method of ship engine room based on the combination of knowledge-based engineering (KBE) and intelligent optimization algorithm. Firstly, the initial 3D layout scheme of engine room equipment is automatically obtained by the KBE method including knowledge acquisition, knowledge representation and knowledge reasoning. Then the multi-objective optimization of ship engine room layout is performed by the simulated annealing algorithm (SAA) to acquire the optimal design scheme. The classification rules of ship engine room are established to improve the efficiency of knowledge acquisition. The rule of adding the virtual area is proposed to control the equipment spacing. The parametric assembly is used to complete knowledge reasoning. Three expert verification rules including heeling moment, interference inspection and escape time are established for the generated layout scheme. Finally, a case study result verifies the feasibility and effectiveness of the proposed method. The visualization and automation of the 3D layout for ship engine room are successfully realized.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Ship engine room</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Intelligent 3D layout</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Knowledge-based engineering (KBE)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Simulated annealing algorithm (SAA)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Virtual area</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Classification rules</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Jiang, Yunbo</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gu, Yujie</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Jin, Chaoguang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Chen, Ming</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Yang, Qu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Guan, Guan</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0002-6781-9948</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Chai, Shuhong</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0001-5186-4456</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Ocean engineering</subfield><subfield code="d">Amsterdam [u.a.] : Elsevier Science, 1970</subfield><subfield code="g">295</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)30658977X</subfield><subfield code="w">(DE-600)1498543-3</subfield><subfield code="w">(DE-576)259484164</subfield><subfield code="x">0029-8018</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:295</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_32</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_90</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_100</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_150</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_187</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_224</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_702</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2001</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2003</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2004</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2007</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2008</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2009</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2010</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2011</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2015</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2020</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2021</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2025</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2026</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2027</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2034</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2044</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2048</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2049</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2050</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2056</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2059</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2061</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2064</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2088</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2106</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2111</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2122</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2129</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2143</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2153</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2190</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2232</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2470</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2507</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4035</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4242</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4251</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4326</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4333</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4334</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4393</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">50.92</subfield><subfield code="j">Meerestechnik</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">295</subfield></datafield></record></collection>
score	7.398162

Nicht das Richtige dabei?

Schreiben Sie uns!

Intelligent 3D layout optimization design of ship engine room based on knowledge-based engineering

Nicht das Richtige dabei?

Zugang & Verfügbarkeit

Vorhandene Bände

Nicht das Richtige dabei?