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arXiv 1808.08036math.NAcs.NA
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Biot问题迭代解耦逼近的保证和可计算误差界

Guaranteed and computable error bounds for approximations constructed by an iterative decoupling of the Biot problem

Kundan Kumar, Svetlana Kyas, Jan Nordbotten, Sergey Repin

摘要:

本文研究了一类拟静态线性Biot方程的多孔介质演化问题的保后验误差估计。采用固定应力分裂法对系统进行解耦,得到一个半离散系统。将压缩映射的后验估计与椭圆型偏微分方程的泛函型后验估计相结合,得到了其误差界。该估计适用于可容许函数空间中的任何逼近,且与离散化方法无关。它们是完全可计算的,不包含网格相关常数,并提供可靠的全球估计的能量范数测量的误差。此外,他们建议有效的误差指标分布的局部误差,这可以用于自适应程序。

英文摘要:

The paper is concerned with guaranteed a posteriori error estimates for a class of evolutionary problems related to poroelastic media governed by the quasi-static linear Biot equations. The system is decoupled employing the fixed-stress split scheme, which leads to a semi-discrete system solved iteratively. The error bounds are derived by combining a posteriori estimates for contractive mappings with those of the functional type for elliptic partial differential equations. The estimates are applicable for any approximation in the admissible functional space and are independent of the discretization method. They are fully computable, do not contain mesh dependent constants, and provide reliable global estimates of the error measured in the energy norm. Moreover, they suggest efficient error indicators for the distribution of local errors, which can be used in adaptive procedures.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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