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A Lagrangian meshfree method applied to linear and nonlinear elasticity.
1Independent Researcher, Austin, Texas, United States of America.
Plos One
|October 19, 2017
Summary
The enhanced repeated replacement method (RRM) simulates elastic systems efficiently. This meshfree approach avoids complex numerical requirements, offering a robust alternative for computational mechanics.
Area of Science:
- Computational Mechanics
- Numerical Analysis
- Solid Mechanics
Background:
- The repeated replacement method (RRM) is a Lagrangian meshfree technique.
- RRM has been previously applied to compressible fluid flow (Euler equations).
- Traditional numerical methods for elastic systems often require complex components like numerical derivatives or Riemann solvers.
Purpose of the Study:
- To present enhancements to the RRM.
- To apply the enhanced RRM to linear and nonlinear elasticity problems.
- To demonstrate RRM's capability in simulating elastic systems efficiently.
Main Methods:
- Application of enhanced RRM to ten elasticity test problems.
- Comparison of RRM results with analytic solvers.
- Analysis of the relationship between computational effort and error for RRM.
- Comparison of RRM with other numerical methods.
- Demonstration of Riemann and Sedov-Taylor solver creation for elastic equations.
Main Results:
- RRM successfully simulates linear and nonlinear elastic systems.
- The enhanced RRM bypasses the need for numerical derivatives, equation system solvers, and Riemann solvers.
- The study quantifies the error-computational effort trade-off for RRM.
- Strengths and weaknesses of RRM are highlighted through comparative analysis.
Conclusions:
- The enhanced RRM is a viable and efficient numerical method for simulating elastic systems.
- RRM offers advantages over traditional numerical methods by reducing complexity.
- The method provides a strong foundation for further research in computational solid mechanics.
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