多孔介质快速稳定流体力学建模的全拉格朗日物质点法

IF 2.9 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Weijian Liang, Bodhinanda Chandra, Jidu Yu, Zhen-Yu Yin, Jidong Zhao
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引用次数: 0

摘要

模拟多孔介质中不可压缩流体的流动一直是物质点法的难点。传统的更新拉格朗日MPM (ULMPM)虽然得到了广泛的应用,但在饱和多孔介质的流体力学分析中存在数值稳定性和计算效率问题。为了解决这些问题,本文提出了一种新的半隐式全拉格朗日MPM (TLMPM)。提出的TLMPM利用分步方法将孔隙压力与运动场解耦,并采用半隐式格式绕过渗透率和流体压缩性的小时间步长约束。与UL不同,TLMPM在参考配置中只评估一次权重函数及其梯度,消除了物质点跟踪,并固有地解决了细胞交叉不稳定性。考虑到整个仿真过程中活动自由度的一致性,所提出的方法大大减少了与运动学和孔隙压力的系统矩阵装配以及自由表面节点检测相关的计算成本。此外,该特性还促进了高效的Cholesky分解,从而大大加快了求解器的性能。所提出的方法已经通过各种基准测试进行了验证,我们的结果突出了TLMPM的卓越性能,与传统方法相比,它可以实现高达63倍的加速,随着问题规模的扩大而扩大,即使使用低阶基函数也能保持数值稳定性。这些进步将TLMPM定位为孔隙弹性分析的变革性工具,在地质力学、能源系统和环境工程中的大变形问题中具有更广泛的适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A Total-Lagrangian Material Point Method for Fast and Stable Hydromechanical Modeling of Porous Media

A Total-Lagrangian Material Point Method for Fast and Stable Hydromechanical Modeling of Porous Media

Modeling the incompressible fluid flow in porous media has long been a challenging task in the Material Point Method (MPM). Although widely used, conventional Updated Lagrangian MPM (ULMPM) often suffers from numerical stability and computational efficiency issues in the hydromechanical analysis of saturated porous media. To address these issues, we herein present a novel semi-implicit Total Lagrangian MPM (TLMPM). The proposed TLMPM leverages the fractional step method to decouple pore pressure from kinematic fields and employs the semi-implicit scheme to bypass the small time step constraint imposed by permeability and fluid compressibility. Unlike its UL counterpart, the TLMPM evaluates weighting functions and their gradients only once in the reference configuration, eliminating material point tracking and inherently resolving cell-crossing instabilities. Given the consistent set of active degrees of freedom throughout simulations, the proposed method greatly reduces computational costs associated with system matrix assembly for both kinematics and pore pressure and with free-surface node detection. Furthermore, this feature also facilitates the efficient Cholesky factorization, resulting in a substantial acceleration of the solver performance. The proposed approach has been validated against various benchmark tests, and our results have highlighted the remarkable performance of TLMPM, which can achieve up to 63 times speedup over conventional methods, scaling favorably with problem size, and retaining numerical stability even with low-order basis functions. These advancements position the TLMPM as a transformative tool for poroelastic analysis, with broader applicability to large-deformation problems in geomechanics, energy systems, and environmental engineering.

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来源期刊
CiteScore
5.70
自引率
6.90%
发文量
276
审稿时长
5.3 months
期刊介绍: The International Journal for Numerical Methods in Engineering publishes original papers describing significant, novel developments in numerical methods that are applicable to engineering problems. The Journal is known for welcoming contributions in a wide range of areas in computational engineering, including computational issues in model reduction, uncertainty quantification, verification and validation, inverse analysis and stochastic methods, optimisation, element technology, solution techniques and parallel computing, damage and fracture, mechanics at micro and nano-scales, low-speed fluid dynamics, fluid-structure interaction, electromagnetics, coupled diffusion phenomena, and error estimation and mesh generation. It is emphasized that this is by no means an exhaustive list, and particularly papers on multi-scale, multi-physics or multi-disciplinary problems, and on new, emerging topics are welcome.
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