Analysis of Dynamic Problems in Fully Saturated Porous Media Using an Embedded Velocity Integration Formulation With an Adaptive Runge–Kutta Method

IF 2.7 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY International Journal for Numerical Methods in Engineering Pub Date : 2024-11-22 DOI:10.1002/nme.7610
J. Sunten, A. Schwarz, J. Bluhm, J. Schröder
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Abstract

This contribution presents a dynamic binary Theory of Porous Media (TPM) model using an embedded velocity integration (EVI) formulation. The inclusion of dynamic effects into a TPM model leads to an increase in the number of unknown quantities and may also limit the choice of fitting time integration methods. By switching to a velocity formulation the amount of unknown quantities is kept to a minimum and the necessity of a time integration scheme being able to produce a second material time derivative is avoided. The used EVI formulation was verified and its advantage concerning computational time was shown by a comparison to a classic approach by Diebels and Ehlers. Both approaches were simulated with an adaptive, embedded, stiffly accurate, explicit, singly, diagonally implicit Runge–Kutta (saESDIRK) time integration method to decrease the computational time even more.

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本文介绍了一种使用嵌入式速度积分(EVI)公式的动态二元多孔介质理论(TPM)模型。将动态效应纳入 TPM 模型会导致未知量的增加,也会限制拟合时间积分方法的选择。通过改用速度公式,可将未知量保持在最低水平,并避免了时间积分方案必须能够产生第二次材料时间导数的问题。通过与 Diebels 和 Ehlers 的经典方法进行比较,验证了所使用的 EVI 公式及其在计算时间方面的优势。这两种方法都采用了自适应、嵌入式、刚性精确、显式、单对角隐式 Runge-Kutta (saESDIRK) 时间积分法进行模拟,以进一步减少计算时间。
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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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