Meshfree and particle methods and their applications
Recent developments of meshfree and particle methods and their applications in applied
mechanics are surveyed. Three major methodologies have been reviewed. First, smoothed …
mechanics are surveyed. Three major methodologies have been reviewed. First, smoothed …
A review of meshless methods for laminated and functionally graded plates and shells
KM Liew, X Zhao, AJM Ferreira - Composite Structures, 2011 - Elsevier
This review focuses mainly on the developments of element-free or meshless methods and
their applications in the analysis of composite structures. This review is organized as follows …
their applications in the analysis of composite structures. This review is organized as follows …
[HTML][HTML] 无网格法的理论及应用
张雄， 刘岩， 马上 - 力学进展, 2009 - lxjz.cstam.org.cn
详细论述了近年来迅速发展的无网格法的理论基础及其在各个领域内的应用.
无网格法网格依赖性弱, 避免了传统的有限元, 边界元等基于网格的数值方法中可能出现的网格 …
无网格法网格依赖性弱, 避免了传统的有限元, 边界元等基于网格的数值方法中可能出现的网格 …
Meshfree methods: progress made after 20 years
In the past two decades, meshfree methods have emerged into a new class of computational
methods with considerable success. In addition, a significant amount of progress has been …
methods with considerable success. In addition, a significant amount of progress has been …
A stabilized conforming nodal integration for Galerkin mesh‐free methods
Abstract Domain integration by Gauss quadrature in the Galerkin mesh‐free methods adds
considerable complexity to solution procedures. Direct nodal integration, on the other hand …
considerable complexity to solution procedures. Direct nodal integration, on the other hand …
Non‐linear version of stabilized conforming nodal integration for Galerkin mesh‐free methods
A stabilized conforming (SC) nodal integration, which meets the integration constraint in the
Galerkin mesh‐free approximation, is generalized for non‐linear problems. Using a …
Galerkin mesh‐free approximation, is generalized for non‐linear problems. Using a …
Meshfree methods: a comprehensive review of applications
The meshfree methods in computational mechanics have been actively proposed and
increasingly developed in order to overcome some drawbacks in the conventional numerical …
increasingly developed in order to overcome some drawbacks in the conventional numerical …
Convolution Hierarchical Deep-learning Neural Networks (C-HiDeNN): finite elements, isogeometric analysis, tensor decomposition, and beyond
This paper presents a general Convolution Hierarchical Deep-learning Neural Networks (C-
HiDeNN) computational framework for solving partial differential equations. This is the first …
HiDeNN) computational framework for solving partial differential equations. This is the first …