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作者:

Li, Junfeng (Li, Junfeng.) | Xia, Yang (Xia, Yang.) | Zheng, Hong (Zheng, Hong.) | Yang, Yongtao (Yang, Yongtao.)

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EI Scopus SCIE

摘要:

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.

关键词:

Preprocessing strategy Numerical manifold method Simplified random sequential addition method Effective permeability coefficient Soil-rock mixtures

作者机构:

  • [ 1 ] [Li, Junfeng]Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Peoples R China
  • [ 2 ] [Xia, Yang]Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Peoples R China
  • [ 3 ] [Yang, Yongtao]Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Peoples R China
  • [ 4 ] [Li, Junfeng]Univ Chinese Acad Sci, Beijing 100049, Peoples R China
  • [ 5 ] [Xia, Yang]Univ Chinese Acad Sci, Beijing 100049, Peoples R China
  • [ 6 ] [Yang, Yongtao]Univ Chinese Acad Sci, Beijing 100049, Peoples R China
  • [ 7 ] [Zheng, Hong]Beijing Univ Technol, Key Lab Urban Secur & Disaster Engn, Minist Educ, Beijing 100124, Peoples R China

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来源 :

COMPUTERS AND GEOTECHNICS

ISSN: 0266-352X

年份: 2023

卷: 164

5 . 3 0 0

JCR@2022

ESI学科: COMPUTER SCIENCE;

ESI高被引阀值:19

被引次数:

WoS核心集被引频次:

SCOPUS被引频次: 17

ESI高被引论文在榜: 0 展开所有

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