Premium
A convected particle least square interpolation material point method
Author(s) -
Tran Quoc Anh,
Sołowski Wojciech,
Berzins Martin,
Guilkey James
Publication year - 2019
Publication title -
international journal for numerical methods in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.421
H-Index - 168
eISSN - 1097-0207
pISSN - 0029-5981
DOI - 10.1002/nme.6257
Subject(s) - interpolation (computer graphics) , moving least squares , material point method , square (algebra) , convergence (economics) , mathematics , point (geometry) , rate of convergence , domain (mathematical analysis) , singular point of a curve , least squares function approximation , mathematical analysis , mathematical optimization , algorithm , geometry , computer science , finite element method , engineering , structural engineering , artificial intelligence , statistics , motion (physics) , computer network , channel (broadcasting) , estimator , economics , economic growth
Summary Applying the convected particle domain interpolation (CPDI) to the material point method has many advantages over the original material point method, including significantly improved accuracy. However, in the large deformation regime, the CPDI still may not retain the expected convergence rate. The paper proposes an enhanced CPDI formulation based on least square reconstruction technique. The convected particle least square interpolation (CPLS) material point method assumes the velocity field inside the material point domain as nonconstant. This velocity field in the material point domain is mapped to the background grid nodes with a moving least squares reconstruction. In this paper, we apply the improved moving least squares method to avoid the instability of the conventional moving least squares method due to a singular matrix. The proposed algorithm can improve convergence rate, as illustrated by numerical examples using the method of manufactured solutions.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom