Steady-state unconfined seepage in heterogeneous medium using an adaptive multi-patch isogeometric analysis

For seepage problems with free surfaces, traditional approaches use either moving mesh strategies or fixed mesh strategies. Both these approaches have inherent challenges, on one hand, the moving mesh methods often encounter computational instability caused by mesh distortion, whereas the fixed mesh methods face challenges in balancing computational accuracy and efficiency. To overcome these limitations, this paper presents a two-dimensional steady-state unconfined seepage framework based on adaptive multi-patch isogeometric analysis, designed to enable efficient, stable, and precise numerical simulations. The proposed framework incorporates a Zienkiewicz–Zhu error estimator to drive local mesh refinement, and utilizes truncated hierarchical non-uniform rational B-splines (TH-NURBS) for accurate modeling and localized adaptive refinement. The multi-patch technique, integrated with Nitsche’s method, is adopted for the simulation of complex geometries. Validation with several numerical examples shows that the framework provides favorable computational accuracy and efficiency, highlighting its potential for application in complex engineering problems. • An adaptive multi-patch isogeometric analysis for steady-state unconfined seepage is proposed. • Complicated domains are exactly treated by multiple patches coupled with Nitsche’s method. • A Zienkiewicz–Zhu error estimator is developed to perform local refinement. • Fixed-mesh method is ingeniously integrated with local refinement to avoid re-meshing. • Numerical results show the accuracy and effectiveness of the proposed framework.

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Publication Details

Journal
Engineering Analysis with Boundary Elements
Published
2026-01-30
DOI
https://doi.org/10.1016/j.enganabound.2026.106658
Primary Topic
Advanced Numerical Analysis Techniques
Type
article
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article

Steady-state unconfined seepage in heterogeneous medium using an adaptive multi-patch isogeometric analysis

Weihua Fang, L. S. Wang, Tiantang Yu, Sundararajan Natarajan et al.
Engineering Analysis with Boundary Elements
Advanced Numerical Analysis Techniques
article

Steady-state unconfined seepage in heterogeneous medium using an adaptive multi-patch isogeometric analysis

Weihua Fang, L. S. Wang, Tiantang Yu, Sundararajan Natarajan, Chen Wu
article en

Abstract

For seepage problems with free surfaces, traditional approaches use either moving mesh strategies or fixed mesh strategies. Both these approaches have inherent challenges, on one hand, the moving mesh methods often encounter computational instability caused by mesh distortion, whereas the fixed mesh methods face challenges in balancing computational accuracy and efficiency. To overcome these limitations, this paper presents a two-dimensional steady-state unconfined seepage framework based on adaptive multi-patch isogeometric analysis, designed to enable efficient, stable, and precise numerical simulations. The proposed framework incorporates a Zienkiewicz–Zhu error estimator to drive local mesh refinement, and utilizes truncated hierarchical non-uniform rational B-splines (TH-NURBS) for accurate modeling and localized adaptive refinement. The multi-patch technique, integrated with Nitsche’s method, is adopted for the simulation of complex geometries. Validation with several numerical examples shows that the framework provides favorable computational accuracy and efficiency, highlighting its potential for application in complex engineering problems. • An adaptive multi-patch isogeometric analysis for steady-state unconfined seepage is proposed. • Complicated domains are exactly treated by multiple patches coupled with Nitsche’s method. • A Zienkiewicz–Zhu error estimator is developed to perform local refinement. • Fixed-mesh method is ingeniously integrated with local refinement to avoid re-meshing. • Numerical results show the accuracy and effectiveness of the proposed framework.

Engineering Analysis with Boundary ElementsVol. 185
Hohai University (CN), Indian Institute of Technology Madras (IN), Ministry of Water Resources of the People's Republic of China (CN)
Openalex Percentile: Top 69%
Advanced Numerical Analysis Techniques
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