Model order reduction of nonlinear thermo-hydro-mechanical systems by means of elastic and plastic domain sub-structuring

IF 3.5 3区 工程技术 Q1 MATHEMATICS, APPLIED
Ygee Larion , Thierry J. Massart , Pedro Díez , Guangjing Chen , Suresh Seetharam , Sergio Zlotnik
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引用次数: 0

Abstract

A model order reduction approach combining reduced basis (RB) projection and sub-structuring by domain decomposition is developed to tackle nonlinear elasto-plasticity in parametrized coupled thermo-hydro-mechanical (THM) systems. The region-specific occurrence of plasticity in the THM process is exploited in domain decomposition to facilitate the simplified construction of localized reduced subspaces in order to perform projection on a multi-domain basis. Traditional RB projection is leveraged in the elastic zone while the computationally expensive nonlinear iterative procedure is confined in the zone where plasticity is assumed to be restricted. The applicability of the approach to parametric problems is investigated through inverse identification of material parameters involving a nonlinear THM model system for nuclear waste repository applications. The model reduction strategy is observed to significantly reduce the computational effort involved with up to 12 times faster simulation compared to finite element (FE)-driven inverse identification procedure.

通过弹性和塑性域子结构化减少非线性热-水-机械系统的模型阶次
本研究开发了一种模型阶次缩减方法,该方法结合了还原基(RB)投影和域分解子结构,用于解决参数化耦合热-水-机械(THM)系统中的非线性弹塑性问题。域分解法利用了热-水-机械(THM)过程中出现的特定区域塑性,从而简化了局部还原子空间的构建,以便在多域基础上执行投影。在弹性区域采用传统的 RB 投影,而在假定塑性受限的区域则采用计算成本高昂的非线性迭代程序。通过对核废料储存应用中涉及非线性 THM 模型系统的材料参数进行反识别,研究了该方法对参数问题的适用性。与有限元(FE)驱动的逆识别程序相比,模型缩减策略大大减少了计算工作量,模拟速度提高了 12 倍。
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来源期刊
CiteScore
4.80
自引率
3.20%
发文量
92
审稿时长
27 days
期刊介绍: The aim of this journal is to provide ideas and information involving the use of the finite element method and its variants, both in scientific inquiry and in professional practice. The scope is intentionally broad, encompassing use of the finite element method in engineering as well as the pure and applied sciences. The emphasis of the journal will be the development and use of numerical procedures to solve practical problems, although contributions relating to the mathematical and theoretical foundations and computer implementation of numerical methods are likewise welcomed. Review articles presenting unbiased and comprehensive reviews of state-of-the-art topics will also be accommodated.
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