Analytical method for predicting pile running during driving

Most offshore structures, such as conventional oil and gas jacket platforms or wind turbines, are typically supported by driven large-diameter steel piles. The piles resist the loads of the superstructure and environmental wind and wave forces. Pile running is a major hazard associated with the inst...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Sun, Liqiang [verfasserIn] Shi, Jie [verfasserIn] Zhang, Yurong [verfasserIn] Feng, Xiaowei [verfasserIn] Tian, Yinghui [verfasserIn] Wang, Rong [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	Driven piles Pile running Strain rate Offshore engineering

Übergeordnetes Werk:	Enthalten in: Applied ocean research - Amsterdam [u.a.] : Elsevier Science, 1979, 125
Übergeordnetes Werk:	volume:125

DOI / URN:	10.1016/j.apor.2022.103234

Katalog-ID:	ELV00817170X

Internformat


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245	1	0	\|a Analytical method for predicting pile running during driving
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520			\|a Most offshore structures, such as conventional oil and gas jacket platforms or wind turbines, are typically supported by driven large-diameter steel piles. The piles resist the loads of the superstructure and environmental wind and wave forces. Pile running is a major hazard associated with the installation of driven piles in a layered seabed. An analytical method based on Newton's second law of motion is proposed to predict pile running. Two methods are used to calculate the soil resistance to dynamic penetration: (1) the conventional American Petroleum Institute (API) method, where the strain rate dependency and remoulding of the surrounding soil are considered, and (2) the Cone Penetration Test (CPT)-based method, which accounts for friction fatigue. The drag resistance in the context of fluid mechanics has also been considered for pile running. The velocity at the start of pile running was determined by the energy delivered by the piling hammer. A numerical programme was implemented and validated, and then used for three case studies; the results obtained were in good agreement with field measurements. The method presented in this study is dependable for analysing pile running and can provide significant support for pile installation assessment and risk management in offshore engineering design.
650		4	\|a Driven piles
650		4	\|a Pile running
650		4	\|a Strain rate
650		4	\|a Offshore engineering
700	1		\|a Shi, Jie \|e verfasserin \|4 aut
700	1		\|a Zhang, Yurong \|e verfasserin \|4 aut
700	1		\|a Feng, Xiaowei \|e verfasserin \|0 (orcid)0000-0002-8666-9383 \|4 aut
700	1		\|a Tian, Yinghui \|e verfasserin \|4 aut
700	1		\|a Wang, Rong \|e verfasserin \|4 aut
773	0	8	\|i Enthalten in \|t Applied ocean research \|d Amsterdam [u.a.] : Elsevier Science, 1979 \|g 125 \|h Online-Ressource \|w (DE-627)306313944 \|w (DE-600)1495994-X \|w (DE-576)256144931 \|x 0141-1187 \|7 nnns
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matchkey_str	article:01411187:2022----::nltclehdopeitnplrni
hierarchy_sort_str	2022
bklnumber	38.90 50.92 56.30
publishDate	2022
allfields	10.1016/j.apor.2022.103234 doi (DE-627)ELV00817170X (ELSEVIER)S0141-1187(22)00172-9 DE-627 ger DE-627 rda eng 550 570 DE-600 BIODIV DE-30 fid 38.90 bkl 50.92 bkl 56.30 bkl Sun, Liqiang verfasserin aut Analytical method for predicting pile running during driving 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Most offshore structures, such as conventional oil and gas jacket platforms or wind turbines, are typically supported by driven large-diameter steel piles. The piles resist the loads of the superstructure and environmental wind and wave forces. Pile running is a major hazard associated with the installation of driven piles in a layered seabed. An analytical method based on Newton's second law of motion is proposed to predict pile running. Two methods are used to calculate the soil resistance to dynamic penetration: (1) the conventional American Petroleum Institute (API) method, where the strain rate dependency and remoulding of the surrounding soil are considered, and (2) the Cone Penetration Test (CPT)-based method, which accounts for friction fatigue. The drag resistance in the context of fluid mechanics has also been considered for pile running. The velocity at the start of pile running was determined by the energy delivered by the piling hammer. A numerical programme was implemented and validated, and then used for three case studies; the results obtained were in good agreement with field measurements. The method presented in this study is dependable for analysing pile running and can provide significant support for pile installation assessment and risk management in offshore engineering design. Driven piles Pile running Strain rate Offshore engineering Shi, Jie verfasserin aut Zhang, Yurong verfasserin aut Feng, Xiaowei verfasserin (orcid)0000-0002-8666-9383 aut Tian, Yinghui verfasserin aut Wang, Rong verfasserin aut Enthalten in Applied ocean research Amsterdam [u.a.] : Elsevier Science, 1979 125 Online-Ressource (DE-627)306313944 (DE-600)1495994-X (DE-576)256144931 0141-1187 nnns volume:125 GBV_USEFLAG_U SYSFLAG_U GBV_ELV FID-BIODIV SSG-OLC-PHA SSG-OPC-GGO 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_63 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_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 38.90 Ozeanologie Ozeanographie 50.92 Meerestechnik 56.30 Wasserbau AR 125
spelling	10.1016/j.apor.2022.103234 doi (DE-627)ELV00817170X (ELSEVIER)S0141-1187(22)00172-9 DE-627 ger DE-627 rda eng 550 570 DE-600 BIODIV DE-30 fid 38.90 bkl 50.92 bkl 56.30 bkl Sun, Liqiang verfasserin aut Analytical method for predicting pile running during driving 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Most offshore structures, such as conventional oil and gas jacket platforms or wind turbines, are typically supported by driven large-diameter steel piles. The piles resist the loads of the superstructure and environmental wind and wave forces. Pile running is a major hazard associated with the installation of driven piles in a layered seabed. An analytical method based on Newton's second law of motion is proposed to predict pile running. Two methods are used to calculate the soil resistance to dynamic penetration: (1) the conventional American Petroleum Institute (API) method, where the strain rate dependency and remoulding of the surrounding soil are considered, and (2) the Cone Penetration Test (CPT)-based method, which accounts for friction fatigue. The drag resistance in the context of fluid mechanics has also been considered for pile running. The velocity at the start of pile running was determined by the energy delivered by the piling hammer. A numerical programme was implemented and validated, and then used for three case studies; the results obtained were in good agreement with field measurements. The method presented in this study is dependable for analysing pile running and can provide significant support for pile installation assessment and risk management in offshore engineering design. Driven piles Pile running Strain rate Offshore engineering Shi, Jie verfasserin aut Zhang, Yurong verfasserin aut Feng, Xiaowei verfasserin (orcid)0000-0002-8666-9383 aut Tian, Yinghui verfasserin aut Wang, Rong verfasserin aut Enthalten in Applied ocean research Amsterdam [u.a.] : Elsevier Science, 1979 125 Online-Ressource (DE-627)306313944 (DE-600)1495994-X (DE-576)256144931 0141-1187 nnns volume:125 GBV_USEFLAG_U SYSFLAG_U GBV_ELV FID-BIODIV SSG-OLC-PHA SSG-OPC-GGO 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_63 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_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 38.90 Ozeanologie Ozeanographie 50.92 Meerestechnik 56.30 Wasserbau AR 125
allfields_unstemmed	10.1016/j.apor.2022.103234 doi (DE-627)ELV00817170X (ELSEVIER)S0141-1187(22)00172-9 DE-627 ger DE-627 rda eng 550 570 DE-600 BIODIV DE-30 fid 38.90 bkl 50.92 bkl 56.30 bkl Sun, Liqiang verfasserin aut Analytical method for predicting pile running during driving 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Most offshore structures, such as conventional oil and gas jacket platforms or wind turbines, are typically supported by driven large-diameter steel piles. The piles resist the loads of the superstructure and environmental wind and wave forces. Pile running is a major hazard associated with the installation of driven piles in a layered seabed. An analytical method based on Newton's second law of motion is proposed to predict pile running. Two methods are used to calculate the soil resistance to dynamic penetration: (1) the conventional American Petroleum Institute (API) method, where the strain rate dependency and remoulding of the surrounding soil are considered, and (2) the Cone Penetration Test (CPT)-based method, which accounts for friction fatigue. The drag resistance in the context of fluid mechanics has also been considered for pile running. The velocity at the start of pile running was determined by the energy delivered by the piling hammer. A numerical programme was implemented and validated, and then used for three case studies; the results obtained were in good agreement with field measurements. The method presented in this study is dependable for analysing pile running and can provide significant support for pile installation assessment and risk management in offshore engineering design. Driven piles Pile running Strain rate Offshore engineering Shi, Jie verfasserin aut Zhang, Yurong verfasserin aut Feng, Xiaowei verfasserin (orcid)0000-0002-8666-9383 aut Tian, Yinghui verfasserin aut Wang, Rong verfasserin aut Enthalten in Applied ocean research Amsterdam [u.a.] : Elsevier Science, 1979 125 Online-Ressource (DE-627)306313944 (DE-600)1495994-X (DE-576)256144931 0141-1187 nnns volume:125 GBV_USEFLAG_U SYSFLAG_U GBV_ELV FID-BIODIV SSG-OLC-PHA SSG-OPC-GGO 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_63 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_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 38.90 Ozeanologie Ozeanographie 50.92 Meerestechnik 56.30 Wasserbau AR 125
allfieldsGer	10.1016/j.apor.2022.103234 doi (DE-627)ELV00817170X (ELSEVIER)S0141-1187(22)00172-9 DE-627 ger DE-627 rda eng 550 570 DE-600 BIODIV DE-30 fid 38.90 bkl 50.92 bkl 56.30 bkl Sun, Liqiang verfasserin aut Analytical method for predicting pile running during driving 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Most offshore structures, such as conventional oil and gas jacket platforms or wind turbines, are typically supported by driven large-diameter steel piles. The piles resist the loads of the superstructure and environmental wind and wave forces. Pile running is a major hazard associated with the installation of driven piles in a layered seabed. An analytical method based on Newton's second law of motion is proposed to predict pile running. Two methods are used to calculate the soil resistance to dynamic penetration: (1) the conventional American Petroleum Institute (API) method, where the strain rate dependency and remoulding of the surrounding soil are considered, and (2) the Cone Penetration Test (CPT)-based method, which accounts for friction fatigue. The drag resistance in the context of fluid mechanics has also been considered for pile running. The velocity at the start of pile running was determined by the energy delivered by the piling hammer. A numerical programme was implemented and validated, and then used for three case studies; the results obtained were in good agreement with field measurements. The method presented in this study is dependable for analysing pile running and can provide significant support for pile installation assessment and risk management in offshore engineering design. Driven piles Pile running Strain rate Offshore engineering Shi, Jie verfasserin aut Zhang, Yurong verfasserin aut Feng, Xiaowei verfasserin (orcid)0000-0002-8666-9383 aut Tian, Yinghui verfasserin aut Wang, Rong verfasserin aut Enthalten in Applied ocean research Amsterdam [u.a.] : Elsevier Science, 1979 125 Online-Ressource (DE-627)306313944 (DE-600)1495994-X (DE-576)256144931 0141-1187 nnns volume:125 GBV_USEFLAG_U SYSFLAG_U GBV_ELV FID-BIODIV SSG-OLC-PHA SSG-OPC-GGO 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_63 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_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 38.90 Ozeanologie Ozeanographie 50.92 Meerestechnik 56.30 Wasserbau AR 125
allfieldsSound	10.1016/j.apor.2022.103234 doi (DE-627)ELV00817170X (ELSEVIER)S0141-1187(22)00172-9 DE-627 ger DE-627 rda eng 550 570 DE-600 BIODIV DE-30 fid 38.90 bkl 50.92 bkl 56.30 bkl Sun, Liqiang verfasserin aut Analytical method for predicting pile running during driving 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Most offshore structures, such as conventional oil and gas jacket platforms or wind turbines, are typically supported by driven large-diameter steel piles. The piles resist the loads of the superstructure and environmental wind and wave forces. Pile running is a major hazard associated with the installation of driven piles in a layered seabed. An analytical method based on Newton's second law of motion is proposed to predict pile running. Two methods are used to calculate the soil resistance to dynamic penetration: (1) the conventional American Petroleum Institute (API) method, where the strain rate dependency and remoulding of the surrounding soil are considered, and (2) the Cone Penetration Test (CPT)-based method, which accounts for friction fatigue. The drag resistance in the context of fluid mechanics has also been considered for pile running. The velocity at the start of pile running was determined by the energy delivered by the piling hammer. A numerical programme was implemented and validated, and then used for three case studies; the results obtained were in good agreement with field measurements. The method presented in this study is dependable for analysing pile running and can provide significant support for pile installation assessment and risk management in offshore engineering design. Driven piles Pile running Strain rate Offshore engineering Shi, Jie verfasserin aut Zhang, Yurong verfasserin aut Feng, Xiaowei verfasserin (orcid)0000-0002-8666-9383 aut Tian, Yinghui verfasserin aut Wang, Rong verfasserin aut Enthalten in Applied ocean research Amsterdam [u.a.] : Elsevier Science, 1979 125 Online-Ressource (DE-627)306313944 (DE-600)1495994-X (DE-576)256144931 0141-1187 nnns volume:125 GBV_USEFLAG_U SYSFLAG_U GBV_ELV FID-BIODIV SSG-OLC-PHA SSG-OPC-GGO 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_63 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_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 38.90 Ozeanologie Ozeanographie 50.92 Meerestechnik 56.30 Wasserbau AR 125
language	English
source	Enthalten in Applied ocean research 125 volume:125
sourceStr	Enthalten in Applied ocean research 125 volume:125
format_phy_str_mv	Article
bklname	Ozeanologie Ozeanographie Meerestechnik Wasserbau
institution	findex.gbv.de
topic_facet	Driven piles Pile running Strain rate Offshore engineering
dewey-raw	550
isfreeaccess_bool	false
container_title	Applied ocean research
authorswithroles_txt_mv	Sun, Liqiang @@aut@@ Shi, Jie @@aut@@ Zhang, Yurong @@aut@@ Feng, Xiaowei @@aut@@ Tian, Yinghui @@aut@@ Wang, Rong @@aut@@
publishDateDaySort_date	2022-01-01T00:00:00Z
hierarchy_top_id	306313944
dewey-sort	3550
id	ELV00817170X
language_de	englisch
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author	Sun, Liqiang
spellingShingle	Sun, Liqiang ddc 550 fid BIODIV bkl 38.90 bkl 50.92 bkl 56.30 misc Driven piles misc Pile running misc Strain rate misc Offshore engineering Analytical method for predicting pile running during driving
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title	Analytical method for predicting pile running during driving
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title_full	Analytical method for predicting pile running during driving
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title_sort	analytical method for predicting pile running during driving
title_auth	Analytical method for predicting pile running during driving
abstract	Most offshore structures, such as conventional oil and gas jacket platforms or wind turbines, are typically supported by driven large-diameter steel piles. The piles resist the loads of the superstructure and environmental wind and wave forces. Pile running is a major hazard associated with the installation of driven piles in a layered seabed. An analytical method based on Newton's second law of motion is proposed to predict pile running. Two methods are used to calculate the soil resistance to dynamic penetration: (1) the conventional American Petroleum Institute (API) method, where the strain rate dependency and remoulding of the surrounding soil are considered, and (2) the Cone Penetration Test (CPT)-based method, which accounts for friction fatigue. The drag resistance in the context of fluid mechanics has also been considered for pile running. The velocity at the start of pile running was determined by the energy delivered by the piling hammer. A numerical programme was implemented and validated, and then used for three case studies; the results obtained were in good agreement with field measurements. The method presented in this study is dependable for analysing pile running and can provide significant support for pile installation assessment and risk management in offshore engineering design.
abstractGer	Most offshore structures, such as conventional oil and gas jacket platforms or wind turbines, are typically supported by driven large-diameter steel piles. The piles resist the loads of the superstructure and environmental wind and wave forces. Pile running is a major hazard associated with the installation of driven piles in a layered seabed. An analytical method based on Newton's second law of motion is proposed to predict pile running. Two methods are used to calculate the soil resistance to dynamic penetration: (1) the conventional American Petroleum Institute (API) method, where the strain rate dependency and remoulding of the surrounding soil are considered, and (2) the Cone Penetration Test (CPT)-based method, which accounts for friction fatigue. The drag resistance in the context of fluid mechanics has also been considered for pile running. The velocity at the start of pile running was determined by the energy delivered by the piling hammer. A numerical programme was implemented and validated, and then used for three case studies; the results obtained were in good agreement with field measurements. The method presented in this study is dependable for analysing pile running and can provide significant support for pile installation assessment and risk management in offshore engineering design.
abstract_unstemmed	Most offshore structures, such as conventional oil and gas jacket platforms or wind turbines, are typically supported by driven large-diameter steel piles. The piles resist the loads of the superstructure and environmental wind and wave forces. Pile running is a major hazard associated with the installation of driven piles in a layered seabed. An analytical method based on Newton's second law of motion is proposed to predict pile running. Two methods are used to calculate the soil resistance to dynamic penetration: (1) the conventional American Petroleum Institute (API) method, where the strain rate dependency and remoulding of the surrounding soil are considered, and (2) the Cone Penetration Test (CPT)-based method, which accounts for friction fatigue. The drag resistance in the context of fluid mechanics has also been considered for pile running. The velocity at the start of pile running was determined by the energy delivered by the piling hammer. A numerical programme was implemented and validated, and then used for three case studies; the results obtained were in good agreement with field measurements. The method presented in this study is dependable for analysing pile running and can provide significant support for pile installation assessment and risk management in offshore engineering design.
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title_short	Analytical method for predicting pile running during driving
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author2	Shi, Jie Zhang, Yurong Feng, Xiaowei Tian, Yinghui Wang, Rong
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up_date	2024-07-06T18:47:24.102Z
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Analytical method for predicting pile running during driving

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