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Direct Conservative Domain in the Continuous Galerkin Method for Groundwater Models
Qiang Wu1, Yingwang Zhao, Yu-Feng F Lin2
1National Engineering Research Center of Coal Mine Water Hazard Controlling, China University of Mining & Technology, Beijing, No. Ding 11 Xueyuan Road, Haidian District, 100083, Beijing, China.
This study introduces direct conservative domains (DCDs) to ensure local mass conservation in finite element methods. DCDs enable direct flux computation, improving conservation properties for numerical simulations.
Area of Science:
- Numerical Analysis
- Computational Fluid Dynamics
- Finite Element Methods
Background:
- The continuous Galerkin finite element method (FEM) often exhibits local non-conservation issues.
- Existing literature suggests postprocessing fluxes can achieve local conservation in FEM.
- Direct flux computation from potential distribution typically leads to discontinuous fluxes and mass imbalance.
Purpose of the Study:
- To propose the concept of a direct conservative domain (DCD) for achieving local mass conservation.
- To develop a method for modifying advection fluxes to create various conservative domains.
- To provide a theoretical basis for analyzing the local conservation of postprocessing algorithms using DCDs.
Main Methods:
- Introduction of the direct conservative domain (DCD) concept.
- Development of a flux modification technique for advection terms.
- Application of DCDs to analyze and verify local conservation properties of FEM algorithms.
Main Results:
- DCDs demonstrate the ability to conserve mass when fluxes are computed directly.
- The proposed flux modification method generates different conservative domains.
- DCDs provide a theoretical framework for evaluating postprocessing conservation algorithms.
Conclusions:
- The direct conservative domain (DCD) concept offers a novel approach to local mass conservation in FEM.
- The proposed method and DCDs are validated through a hypothetical 2-D model, confirming their effectiveness.
- This work establishes a theoretical foundation for understanding and improving conservation in numerical methods.
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