水力机械耦合土壤动力学中的空间混合隐式-显式方案

IF 5.3 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Patrick Staubach , Jan Machaček
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引用次数: 0

摘要

混合隐式-显式(IMEX)方案结合了隐式和显式时间积分法的元素。这样就能有效地处理刚度差异很大的边界值问题,如土壤动力学中经常遇到的问题。本研究讨论了一种空间混合 IMEX 方案,在该方案中,计算域的不同部分可根据其行为进行隐式或显式处理。为此,采用了砂浆接触离散法进行域分解,并求解了多个方程系统。该方案在解决土壤动力学问题方面的优点已得到证明,其控制方程已扩展到水力机械耦合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatially mixed implicit–explicit schemes in hydro-mechanically coupled soil dynamics
Mixed implicit–explicit (IMEX) schemes combine elements of both implicit and explicit time integration methods. This allows to efficiently handle boundary value problems with severe differences in stiffness, such as often encountered in soil dynamics. A spatially mixed IMEX scheme, in which different parts of the computational domain may be treated implicitly or explicitly depending on their behaviour, is discussed in this work. Domain decomposition by means of a mortar contact discretisation is used for this purpose and multiple systems of equations are solved. The merits of the scheme in solving problems of soil dynamics are demonstrated, for which the governing equations are extended to hydro-mechanical coupling.
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来源期刊
Computers and Geotechnics
Computers and Geotechnics 地学-地球科学综合
CiteScore
9.10
自引率
15.10%
发文量
438
审稿时长
45 days
期刊介绍: The use of computers is firmly established in geotechnical engineering and continues to grow rapidly in both engineering practice and academe. The development of advanced numerical techniques and constitutive modeling, in conjunction with rapid developments in computer hardware, enables problems to be tackled that were unthinkable even a few years ago. Computers and Geotechnics provides an up-to-date reference for engineers and researchers engaged in computer aided analysis and research in geotechnical engineering. The journal is intended for an expeditious dissemination of advanced computer applications across a broad range of geotechnical topics. Contributions on advances in numerical algorithms, computer implementation of new constitutive models and probabilistic methods are especially encouraged.
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