书名:有限单元法 Python编程 (The Finite Element Method Python Programming) 作者[Author(s)]:崔济东 (Jidong Cui), 沈雪龙 ( Xuelong Shen ), 吴金诚( JinCheng Wu), 赵颖( Ying Zhao). 出版社 [Press]:中国建筑工业出版社 ( China Architecture & Building Press) ...
Python FEAPpv -- free personal version of the FEAP femfinite-element-analysisfinite-element-methodsfinite-element-method UpdatedMay 18, 2024 Fortran MYSTRAN is a general purpose finite element analysis solver finite-elementsfinite-element-analysisnastranfinite-element-methodfinite-element-software ...
Computational Framework for the Finite Element Method in MATLAB and Python aims to provide a programming framework for coding linear FEM using matrix-based MATLAB language and Python scripting language. It describes FEM algorithm implementation in the most generic formulation so that it is possible to...
In this study, we determined the mechanical parameter values of rock layers at the advancing mining front using a custom Python script and Finite Element Method (FEM) numerical models. We also introduced a modification to evaluate the error of the estimated parameter values. Numerical ...
A python package for finite element method (FEM) in solid mechanics You should download all the code and install the following packages: numpy scipy pyvista Features: linear elasticity 2D Quadrilateral element (Q1,Q2) 3D Hexahedral element (Q1,Q2) BBar element for 3D Q1 element Perfect post-pro...
有限元法(Finite Element Method,FEM)是一种解偏微分方程组(Partial Differential Equations,PDEs)的数值解法(numerical method),FEM从20世纪中叶开始发展,现在已经广泛应用在各种科学和工程领域,包括:机械和结构设计(mechanical and structural design),生物医学(biomedicine),电力设计(electrical and power design),流体力...
This work introduces a stabilised finite element formulation for the Stokes flow problem with a nonlinear slip boundary condition of friction type. The bou
We present the formulation and applications of JAX-CPFEM, an open-source, GPU-accelerated, and differentiable 3-D crystal plasticity finite element method (CPFEM) software package. Leveraging the modern computing architecture JAX, JAX-CPFEM features high
Physics-informed neural network Finite element method Boundary value problems Elasticity Elastoplasticity 1. Introduction The Physics-informed neural network method (PINN) is currently widely used to solve various partial differential equations relying on the powerful automatic differential operator, e.g., ...
First, we investigate how the prediction error of the neural network depends on the discretisation error of the finite element method. We let the analytical solution u and diffusion coefficient κ beu(x,y)=sin(πx)sin(πy),κ(x,y)=11+x2+y2. Using gradually refined meshes Ωh ...