Results 221 to 230 of about 97,675,816 (255)
Some of the next articles are maybe not open access.

Development of a Software Package of Smoothed Finite Element Method (S-FEM) for Solid Mechanics Problems

International Journal of Computational Methods, 2020
This paper reports a work to develop a general solver of smoothed finite element methods (S-FEMs) for stress analysis of 2D and 3D solid mechanics problems.
R. Niu, G. Liu, J. Yue
semanticscholar   +1 more source

M‐PINN: A mesh‐based physics‐informed neural network for linear elastic problems in solid mechanics

International Journal for Numerical Methods in Engineering
Physics‐informed neural networks (PINNs) have emerged as a promising approach for solving a wide range of numerical problems. Nevertheless, conventional PINNs frequently face challenges in model convergence and stability when optimizing complex loss ...
Lu Wang   +3 more
semanticscholar   +1 more source

A finite element formulation in boundary representation for the analysis of nonlinear problems in solid mechanics

Computer Methods in Applied Mechanics and Engineering, 2018
The contribution is concerned with a numerical element formulation for the analysis of the nonlinear behavior in solid mechanics. It is based on the so‐called scaled boundary finite element method (SB‐FEM).
Sven Klinkel, Rainer Reichel
semanticscholar   +1 more source

Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks and Operators in Scientific Computing: Fluid and Solid Mechanics

Journal of Computing and Information Science in Engineering
Advancements in computing power have recently made it possible to utilize machine learning and deep learning to push scientific computing forward in a range of disciplines, such as fluid mechanics, solid mechanics, materials science, etc.
Salah A. Faroughi   +6 more
semanticscholar   +1 more source

A clustering adaptive Gaussian process regression method: response patterns based real-time prediction for nonlinear solid mechanics problems

Computer Methods in Applied Mechanics and Engineering
Numerical simulation is powerful to study nonlinear solid mechanics problems. However, mesh-based or particle-based numerical methods suffer from the common shortcoming of being time-consuming, particularly for complex problems with real-time analysis ...
Ming-Jian Li   +6 more
semanticscholar   +1 more source

Experimental and numerical investigation into the methods of determination of mode I static fracture toughness of rocks

Theoretical and applied fracture mechanics (Print), 2019
Fracture toughness, as a measure of resistance against crack instability and propagation, is one of the most important parameters in fracture mechanics of rocks and other solid materials.
A. Pakdaman, M. Moosavi, S. Mohammadi
semanticscholar   +1 more source

Learning the Solution Operator Family in Elastic Mechanics for Response Prediction Under Various Load Scenarios

International Journal for Numerical Methods in Engineering
Analyzing the responses of solid materials under diverse loading scenarios with different types and forms is a fundamental engineering necessity. However, a load‐adaptable machine learning model that can predict such responses still needs to be explored.
Xuliang Liu, Yuequan Bao
semanticscholar   +1 more source

Numerical evaluation of discontinuous and nonconforming finite element methods in nonlinear solid mechanics

Computational Mechanics, 2018
H. Bayat   +6 more
semanticscholar   +1 more source

Home - About - Disclaimer - Privacy