Colour-Field Based Particle Categorization for Residual Stress Detection and Reduction in Solid SPH Simulations

被引:0
作者
Kayar, Gizem [1 ]
机构
[1] NYU, Dept Comp Sci, 251 Mercer St, New York, NY 10012 USA
来源
PROCEEDINGS OF THE 18TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS, VISIGRAPP 2023 | 2023年
关键词
Smoothed Particle Hydrodynamics; Residual Stress; Von-MissesYield; Physically-Based Simulations; Solid Simulations; HYDRODYNAMICS; FLOWS;
D O I
10.5220/0011716100003417
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Residual stress remains in an object even in the absence of external forces or thermal pressure, which, in turn, may cause significant plastic deformations. In case the residual stress creates unwanted effects on the material and so is undesirable, an efficient solution is necessary to track and eliminate this stress. Smoothed Particle Hydrodynamics has been extensively used in solid mechanics simulations and the inherent colour-field generation approach is a promising tracker for the residual stress. In this paper, we propose a way to use the colour-field approach for eliminating the residual stress and prevent the undesirable premature failure of solid objects.
引用
收藏
页码:237 / 241
页数:5
相关论文
empty
未找到相关数据