Numerical study of soil-rock mixtures with 3D numerical manifold method: Generation of random aggregate structure and discretized model

As the main material composition of many large landslides in China and other countries, the soil-rock mixtures (SRMs) have attracted many researchers to investigate their mechanical and hydraulic characteristics in the past several decades. Although in-door and in-situ tests still play the dominant...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Li, Junfeng [verfasserIn] Xia, Yang [verfasserIn] Zheng, Hong [verfasserIn] Yang, Yongtao [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	Soil–rock mixtures Numerical manifold method Simplified random sequential addition method Preprocessing strategy Effective permeability coefficient

Übergeordnetes Werk:	Enthalten in: Computers and geotechnics - New York, NY [u.a.] : Elsevier, 1985, 164
Übergeordnetes Werk:	volume:164

DOI / URN:	10.1016/j.compgeo.2023.105820

Katalog-ID:	ELV065234243

Internformat


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245	1	0	\|a Numerical study of soil-rock mixtures with 3D numerical manifold method: Generation of random aggregate structure and discretized model
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520			\|a As the main material composition of many large landslides in China and other countries, the soil-rock mixtures (SRMs) have attracted many researchers to investigate their mechanical and hydraulic characteristics in the past several decades. Although in-door and in-situ tests still play the dominant role in obtaining the material parameters of SRMs, numerical methods are seen as a better choice regarding economy and practicality. As a competitive numerical method, the numerical manifold method (NMM), which can solve continuous and discontinuous problems in a unified framework, is used in the present work to investigate the hydraulic characters of SRMs. Before investigating the hydraulic characters of SRMs with NMM, the aggregate structural model and discretized model of SRMs should be built. To effectively build the aggregate structure model of SRMs with high rock content, a simplified random sequential addition method, which is based on E(A, B) concept and background mesh, is firstly developed. Then, the recently proposed parallel preprocessing strategy of NMM is used to generate the discretized model of SRMs. Finally, an illustrative example regarding the determination of effective permeability coefficient of SRMs is solved with 3DNMM. The proposed numerical model in investigating SRMs deserves further investigation.
650		4	\|a Soil–rock mixtures
650		4	\|a Numerical manifold method
650		4	\|a Simplified random sequential addition method
650		4	\|a Preprocessing strategy
650		4	\|a Effective permeability coefficient
700	1		\|a Xia, Yang \|e verfasserin \|0 (orcid)0000-0003-4768-5951 \|4 aut
700	1		\|a Zheng, Hong \|e verfasserin \|4 aut
700	1		\|a Yang, Yongtao \|e verfasserin \|4 aut
773	0	8	\|i Enthalten in \|t Computers and geotechnics \|d New York, NY [u.a.] : Elsevier, 1985 \|g 164 \|h Online-Ressource \|w (DE-627)302724672 \|w (DE-600)1492536-9 \|w (DE-576)259270903 \|7 nnns
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Indexfelder

author_variant	j l jl y x yx h z hz y y yy
matchkey_str	lijunfengxiayangzhenghongyangyongtao:2023----:ueiasuyfolokitrsihdueiamnflmtognrtoornoagea
hierarchy_sort_str	2023
bklnumber	38.03 56.20
publishDate	2023
allfields	10.1016/j.compgeo.2023.105820 doi (DE-627)ELV065234243 (ELSEVIER)S0266-352X(23)00577-3 DE-627 ger DE-627 rda eng 004 690 VZ 38.03 bkl 56.20 bkl Li, Junfeng verfasserin aut Numerical study of soil-rock mixtures with 3D numerical manifold method: Generation of random aggregate structure and discretized model 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier As the main material composition of many large landslides in China and other countries, the soil-rock mixtures (SRMs) have attracted many researchers to investigate their mechanical and hydraulic characteristics in the past several decades. Although in-door and in-situ tests still play the dominant role in obtaining the material parameters of SRMs, numerical methods are seen as a better choice regarding economy and practicality. As a competitive numerical method, the numerical manifold method (NMM), which can solve continuous and discontinuous problems in a unified framework, is used in the present work to investigate the hydraulic characters of SRMs. Before investigating the hydraulic characters of SRMs with NMM, the aggregate structural model and discretized model of SRMs should be built. To effectively build the aggregate structure model of SRMs with high rock content, a simplified random sequential addition method, which is based on E(A, B) concept and background mesh, is firstly developed. Then, the recently proposed parallel preprocessing strategy of NMM is used to generate the discretized model of SRMs. Finally, an illustrative example regarding the determination of effective permeability coefficient of SRMs is solved with 3DNMM. The proposed numerical model in investigating SRMs deserves further investigation. Soil–rock mixtures Numerical manifold method Simplified random sequential addition method Preprocessing strategy Effective permeability coefficient Xia, Yang verfasserin (orcid)0000-0003-4768-5951 aut Zheng, Hong verfasserin aut Yang, Yongtao verfasserin aut Enthalten in Computers and geotechnics New York, NY [u.a.] : Elsevier, 1985 164 Online-Ressource (DE-627)302724672 (DE-600)1492536-9 (DE-576)259270903 nnns volume:164 GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-GGO SSG-OPC-GEO 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_101 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_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_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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.03 Methoden und Techniken der Geowissenschaften VZ 56.20 Ingenieurgeologie Bodenmechanik VZ AR 164
spelling	10.1016/j.compgeo.2023.105820 doi (DE-627)ELV065234243 (ELSEVIER)S0266-352X(23)00577-3 DE-627 ger DE-627 rda eng 004 690 VZ 38.03 bkl 56.20 bkl Li, Junfeng verfasserin aut Numerical study of soil-rock mixtures with 3D numerical manifold method: Generation of random aggregate structure and discretized model 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier As the main material composition of many large landslides in China and other countries, the soil-rock mixtures (SRMs) have attracted many researchers to investigate their mechanical and hydraulic characteristics in the past several decades. Although in-door and in-situ tests still play the dominant role in obtaining the material parameters of SRMs, numerical methods are seen as a better choice regarding economy and practicality. As a competitive numerical method, the numerical manifold method (NMM), which can solve continuous and discontinuous problems in a unified framework, is used in the present work to investigate the hydraulic characters of SRMs. Before investigating the hydraulic characters of SRMs with NMM, the aggregate structural model and discretized model of SRMs should be built. To effectively build the aggregate structure model of SRMs with high rock content, a simplified random sequential addition method, which is based on E(A, B) concept and background mesh, is firstly developed. Then, the recently proposed parallel preprocessing strategy of NMM is used to generate the discretized model of SRMs. Finally, an illustrative example regarding the determination of effective permeability coefficient of SRMs is solved with 3DNMM. The proposed numerical model in investigating SRMs deserves further investigation. Soil–rock mixtures Numerical manifold method Simplified random sequential addition method Preprocessing strategy Effective permeability coefficient Xia, Yang verfasserin (orcid)0000-0003-4768-5951 aut Zheng, Hong verfasserin aut Yang, Yongtao verfasserin aut Enthalten in Computers and geotechnics New York, NY [u.a.] : Elsevier, 1985 164 Online-Ressource (DE-627)302724672 (DE-600)1492536-9 (DE-576)259270903 nnns volume:164 GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-GGO SSG-OPC-GEO 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_101 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_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_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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.03 Methoden und Techniken der Geowissenschaften VZ 56.20 Ingenieurgeologie Bodenmechanik VZ AR 164
allfields_unstemmed	10.1016/j.compgeo.2023.105820 doi (DE-627)ELV065234243 (ELSEVIER)S0266-352X(23)00577-3 DE-627 ger DE-627 rda eng 004 690 VZ 38.03 bkl 56.20 bkl Li, Junfeng verfasserin aut Numerical study of soil-rock mixtures with 3D numerical manifold method: Generation of random aggregate structure and discretized model 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier As the main material composition of many large landslides in China and other countries, the soil-rock mixtures (SRMs) have attracted many researchers to investigate their mechanical and hydraulic characteristics in the past several decades. Although in-door and in-situ tests still play the dominant role in obtaining the material parameters of SRMs, numerical methods are seen as a better choice regarding economy and practicality. As a competitive numerical method, the numerical manifold method (NMM), which can solve continuous and discontinuous problems in a unified framework, is used in the present work to investigate the hydraulic characters of SRMs. Before investigating the hydraulic characters of SRMs with NMM, the aggregate structural model and discretized model of SRMs should be built. To effectively build the aggregate structure model of SRMs with high rock content, a simplified random sequential addition method, which is based on E(A, B) concept and background mesh, is firstly developed. Then, the recently proposed parallel preprocessing strategy of NMM is used to generate the discretized model of SRMs. Finally, an illustrative example regarding the determination of effective permeability coefficient of SRMs is solved with 3DNMM. The proposed numerical model in investigating SRMs deserves further investigation. Soil–rock mixtures Numerical manifold method Simplified random sequential addition method Preprocessing strategy Effective permeability coefficient Xia, Yang verfasserin (orcid)0000-0003-4768-5951 aut Zheng, Hong verfasserin aut Yang, Yongtao verfasserin aut Enthalten in Computers and geotechnics New York, NY [u.a.] : Elsevier, 1985 164 Online-Ressource (DE-627)302724672 (DE-600)1492536-9 (DE-576)259270903 nnns volume:164 GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-GGO SSG-OPC-GEO 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_101 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_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_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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.03 Methoden und Techniken der Geowissenschaften VZ 56.20 Ingenieurgeologie Bodenmechanik VZ AR 164
allfieldsGer	10.1016/j.compgeo.2023.105820 doi (DE-627)ELV065234243 (ELSEVIER)S0266-352X(23)00577-3 DE-627 ger DE-627 rda eng 004 690 VZ 38.03 bkl 56.20 bkl Li, Junfeng verfasserin aut Numerical study of soil-rock mixtures with 3D numerical manifold method: Generation of random aggregate structure and discretized model 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier As the main material composition of many large landslides in China and other countries, the soil-rock mixtures (SRMs) have attracted many researchers to investigate their mechanical and hydraulic characteristics in the past several decades. Although in-door and in-situ tests still play the dominant role in obtaining the material parameters of SRMs, numerical methods are seen as a better choice regarding economy and practicality. As a competitive numerical method, the numerical manifold method (NMM), which can solve continuous and discontinuous problems in a unified framework, is used in the present work to investigate the hydraulic characters of SRMs. Before investigating the hydraulic characters of SRMs with NMM, the aggregate structural model and discretized model of SRMs should be built. To effectively build the aggregate structure model of SRMs with high rock content, a simplified random sequential addition method, which is based on E(A, B) concept and background mesh, is firstly developed. Then, the recently proposed parallel preprocessing strategy of NMM is used to generate the discretized model of SRMs. Finally, an illustrative example regarding the determination of effective permeability coefficient of SRMs is solved with 3DNMM. The proposed numerical model in investigating SRMs deserves further investigation. Soil–rock mixtures Numerical manifold method Simplified random sequential addition method Preprocessing strategy Effective permeability coefficient Xia, Yang verfasserin (orcid)0000-0003-4768-5951 aut Zheng, Hong verfasserin aut Yang, Yongtao verfasserin aut Enthalten in Computers and geotechnics New York, NY [u.a.] : Elsevier, 1985 164 Online-Ressource (DE-627)302724672 (DE-600)1492536-9 (DE-576)259270903 nnns volume:164 GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-GGO SSG-OPC-GEO 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_101 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_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_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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.03 Methoden und Techniken der Geowissenschaften VZ 56.20 Ingenieurgeologie Bodenmechanik VZ AR 164
allfieldsSound	10.1016/j.compgeo.2023.105820 doi (DE-627)ELV065234243 (ELSEVIER)S0266-352X(23)00577-3 DE-627 ger DE-627 rda eng 004 690 VZ 38.03 bkl 56.20 bkl Li, Junfeng verfasserin aut Numerical study of soil-rock mixtures with 3D numerical manifold method: Generation of random aggregate structure and discretized model 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier As the main material composition of many large landslides in China and other countries, the soil-rock mixtures (SRMs) have attracted many researchers to investigate their mechanical and hydraulic characteristics in the past several decades. Although in-door and in-situ tests still play the dominant role in obtaining the material parameters of SRMs, numerical methods are seen as a better choice regarding economy and practicality. As a competitive numerical method, the numerical manifold method (NMM), which can solve continuous and discontinuous problems in a unified framework, is used in the present work to investigate the hydraulic characters of SRMs. Before investigating the hydraulic characters of SRMs with NMM, the aggregate structural model and discretized model of SRMs should be built. To effectively build the aggregate structure model of SRMs with high rock content, a simplified random sequential addition method, which is based on E(A, B) concept and background mesh, is firstly developed. Then, the recently proposed parallel preprocessing strategy of NMM is used to generate the discretized model of SRMs. Finally, an illustrative example regarding the determination of effective permeability coefficient of SRMs is solved with 3DNMM. The proposed numerical model in investigating SRMs deserves further investigation. Soil–rock mixtures Numerical manifold method Simplified random sequential addition method Preprocessing strategy Effective permeability coefficient Xia, Yang verfasserin (orcid)0000-0003-4768-5951 aut Zheng, Hong verfasserin aut Yang, Yongtao verfasserin aut Enthalten in Computers and geotechnics New York, NY [u.a.] : Elsevier, 1985 164 Online-Ressource (DE-627)302724672 (DE-600)1492536-9 (DE-576)259270903 nnns volume:164 GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-GGO SSG-OPC-GEO 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_101 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_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_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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.03 Methoden und Techniken der Geowissenschaften VZ 56.20 Ingenieurgeologie Bodenmechanik VZ AR 164
language	English
source	Enthalten in Computers and geotechnics 164 volume:164
sourceStr	Enthalten in Computers and geotechnics 164 volume:164
format_phy_str_mv	Article
bklname	Methoden und Techniken der Geowissenschaften Ingenieurgeologie Bodenmechanik
institution	findex.gbv.de
topic_facet	Soil–rock mixtures Numerical manifold method Simplified random sequential addition method Preprocessing strategy Effective permeability coefficient
dewey-raw	004
isfreeaccess_bool	false
container_title	Computers and geotechnics
authorswithroles_txt_mv	Li, Junfeng @@aut@@ Xia, Yang @@aut@@ Zheng, Hong @@aut@@ Yang, Yongtao @@aut@@
publishDateDaySort_date	2023-01-01T00:00:00Z
hierarchy_top_id	302724672
dewey-sort	14
id	ELV065234243
language_de	englisch
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author	Li, Junfeng
spellingShingle	Li, Junfeng ddc 004 bkl 38.03 bkl 56.20 misc Soil–rock mixtures misc Numerical manifold method misc Simplified random sequential addition method misc Preprocessing strategy misc Effective permeability coefficient Numerical study of soil-rock mixtures with 3D numerical manifold method: Generation of random aggregate structure and discretized model
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topic_title	004 690 VZ 38.03 bkl 56.20 bkl Numerical study of soil-rock mixtures with 3D numerical manifold method: Generation of random aggregate structure and discretized model Soil–rock mixtures Numerical manifold method Simplified random sequential addition method Preprocessing strategy Effective permeability coefficient
topic	ddc 004 bkl 38.03 bkl 56.20 misc Soil–rock mixtures misc Numerical manifold method misc Simplified random sequential addition method misc Preprocessing strategy misc Effective permeability coefficient
topic_unstemmed	ddc 004 bkl 38.03 bkl 56.20 misc Soil–rock mixtures misc Numerical manifold method misc Simplified random sequential addition method misc Preprocessing strategy misc Effective permeability coefficient
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title	Numerical study of soil-rock mixtures with 3D numerical manifold method: Generation of random aggregate structure and discretized model
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title_full	Numerical study of soil-rock mixtures with 3D numerical manifold method: Generation of random aggregate structure and discretized model
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title_sort	numerical study of soil-rock mixtures with 3d numerical manifold method: generation of random aggregate structure and discretized model
title_auth	Numerical study of soil-rock mixtures with 3D numerical manifold method: Generation of random aggregate structure and discretized model
abstract	As the main material composition of many large landslides in China and other countries, the soil-rock mixtures (SRMs) have attracted many researchers to investigate their mechanical and hydraulic characteristics in the past several decades. Although in-door and in-situ tests still play the dominant role in obtaining the material parameters of SRMs, numerical methods are seen as a better choice regarding economy and practicality. As a competitive numerical method, the numerical manifold method (NMM), which can solve continuous and discontinuous problems in a unified framework, is used in the present work to investigate the hydraulic characters of SRMs. Before investigating the hydraulic characters of SRMs with NMM, the aggregate structural model and discretized model of SRMs should be built. To effectively build the aggregate structure model of SRMs with high rock content, a simplified random sequential addition method, which is based on E(A, B) concept and background mesh, is firstly developed. Then, the recently proposed parallel preprocessing strategy of NMM is used to generate the discretized model of SRMs. Finally, an illustrative example regarding the determination of effective permeability coefficient of SRMs is solved with 3DNMM. The proposed numerical model in investigating SRMs deserves further investigation.
abstractGer	As the main material composition of many large landslides in China and other countries, the soil-rock mixtures (SRMs) have attracted many researchers to investigate their mechanical and hydraulic characteristics in the past several decades. Although in-door and in-situ tests still play the dominant role in obtaining the material parameters of SRMs, numerical methods are seen as a better choice regarding economy and practicality. As a competitive numerical method, the numerical manifold method (NMM), which can solve continuous and discontinuous problems in a unified framework, is used in the present work to investigate the hydraulic characters of SRMs. Before investigating the hydraulic characters of SRMs with NMM, the aggregate structural model and discretized model of SRMs should be built. To effectively build the aggregate structure model of SRMs with high rock content, a simplified random sequential addition method, which is based on E(A, B) concept and background mesh, is firstly developed. Then, the recently proposed parallel preprocessing strategy of NMM is used to generate the discretized model of SRMs. Finally, an illustrative example regarding the determination of effective permeability coefficient of SRMs is solved with 3DNMM. The proposed numerical model in investigating SRMs deserves further investigation.
abstract_unstemmed	As the main material composition of many large landslides in China and other countries, the soil-rock mixtures (SRMs) have attracted many researchers to investigate their mechanical and hydraulic characteristics in the past several decades. Although in-door and in-situ tests still play the dominant role in obtaining the material parameters of SRMs, numerical methods are seen as a better choice regarding economy and practicality. As a competitive numerical method, the numerical manifold method (NMM), which can solve continuous and discontinuous problems in a unified framework, is used in the present work to investigate the hydraulic characters of SRMs. Before investigating the hydraulic characters of SRMs with NMM, the aggregate structural model and discretized model of SRMs should be built. To effectively build the aggregate structure model of SRMs with high rock content, a simplified random sequential addition method, which is based on E(A, B) concept and background mesh, is firstly developed. Then, the recently proposed parallel preprocessing strategy of NMM is used to generate the discretized model of SRMs. Finally, an illustrative example regarding the determination of effective permeability coefficient of SRMs is solved with 3DNMM. The proposed numerical model in investigating SRMs deserves further investigation.
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title_short	Numerical study of soil-rock mixtures with 3D numerical manifold method: Generation of random aggregate structure and discretized model
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author2	Xia, Yang Zheng, Hong Yang, Yongtao
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up_date	2024-07-06T22:18:48.017Z
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Numerical study of soil-rock mixtures with 3D numerical manifold method: Generation of random aggregate structure and discretized model

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