唐春安

个人信息Personal Information

教授

博士生导师

硕士生导师

主要任职:President of international exchange committee of the Chinese Society of Rock Mechanics and Engineering CSRME

其他任职:国际岩石力学与岩石工程学会(ISRM)中国国家小组副主席

性别:男

毕业院校:东北大学

学位:博士

所在单位:土木工程系

办公地点:综合实验四号楼330

联系方式:tca@mail.neu.edu.cn

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An unconditionally stable explicit and precise multiple timescale finite element modeling scheme for the fully coupled hydro-mechanical analysis of saturated poroelastic media

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论文类型:期刊论文

发表时间:2016-01-01

发表刊物:COMPUTERS AND GEOTECHNICS

收录刊物:SCIE、EI

卷号:71

页面范围:69-81

ISSN号:0266-352X

关键字:Coupled hydro-mechanical analysis; Fully explicit; Poroelasticity; Precise integration method; Multiple timescale; Unconditionally stable

摘要:An unconditionally stable, fully explicit and highly precise multiple timescale finite element modeling scheme is described for a fully coupled hydro-mechanical (FCHM) analysis of saturated poroelastic media. The finite element method (FEM) is used for the discretization of the FCHM differential equation in the space domain. Direct integration is performed based on the precise time step integration method (PTSIM) for the time derivatives. Two configurations for the proposed scheme are constructed (abbreviated as PTSIM-f1 and f2, respectively). The stability and convergence of the PTSIM-f1 and f2 are proved using a matrix-based spectral analysis in the time domain. It is demonstrated that the explicit scheme proposed in this paper is unconditionally stable and independent of the time-step size. The algorithmic error estimation results indicate that the numerical modeling performed using PTSIM-f1 and -f2 in the time domain match the computer precision. Theoretically, the algorithmic error is caused by only the mesh discretization. Therefore, the proposed modeling scheme is a semi-analytical scheme. The applicability and accuracy of the proposed scheme are examined using sample calculations. By comparing with the analytical solutions, it is indicated that the modeling results have significant advantages over the standard FEM in terms of precision and computational efficiency for large timescales. (C) 2015 Elsevier Ltd. All rights reserved.