Unfitted FEM: Nitsche Method, CutFEM and Ghost Penalty
Introduction CutFEM (Cut Finite Element Method) is a framework that allows the finite element method to be applied even when…
Physics
kevin-tofu Solve Linear Elasticity with Gridap, Julia
Introduction Gridap is a highly useful finite element solver built with Julia.However, since the documentation still feels somewhat incomplete, I…
Note: suitable solver for structural analysis
Introduction When actually solving physical simulations with the finite element method, it’s important to carefully consider the properties of the…
Level set method: Update GridapTopOpt Tutorial
Introduction GridapTopOpt is a library that is able to handle level set method based topology optimization. This library is built…
Solve FEM using Gridap with PETSc backend
Introduction In the previous article, I solved structural analysis with Gridap, which is contained Gridap tutorial, and showed result with…
Solve Linear Elasticity Problem with Gridap
What is Gridap Gridap is a finite element library written entirely in Julia. It allows you to describe partial differential…
Geometric Nonlinearity in Finite Element Analysis
Introduction Structural Analysis in Finite Element Analysis is actually NOT represented as linear model in many cases. There are some…
Lagrangian and Hamiltonian
What is Lagrangian and Hamiltonian? These are able to handle a system in a unified way even in complex coordinate…
Solve Linear Equations with spsolve and Joblib
About This article demonstrates how to efficiently solve multiple large, sparse linear systems in Python using scipy.sparse.linalg.spsolve for individual solutions…