A quasi-linear reproducing kernel particle method

作者：Yreux Edouard; Chen Jiun Shyan

来源：International Journal for Numerical Methods in Engineering, 2017, 109(7): 1045-1064.

DOI：10.1002/nme.5319

• meshfree methods
• reproducing kernel particle method
• semi-Lagrangian
• quasi-linear approximation
• kernel stability

Reproducing kernel particle method (RKPM) has been applied to many large deformation problems. RKPM relies on polynomial reproducing conditions to yield desired accuracy and convergence properties but requires appropriate kernel support coverage of neighboring nodes to ensure kernel stability. This kernel stability condition is difficult to achieve for problems with large particle motion such as the fragment-impact processes that commonly exist in extreme events. A new reproducing kernel formulation with ` quasi-linear' reproducing conditions is introduced. In this approach, the first-order polynomial reproducing conditions are approximately enforced to yield a nonsingular moment matrix. With proper error control of the first-order completeness, nearly second-order convergence rate in L2 norm can be achieved while maintaining kernel stability. The effectiveness of this quasi-linear RKPM formulation is demonstrated by modeling several extremely large deformation and fragment-impact problems.

• 出版日期2017-2