Physics-Informed Neural Network for Solving a One-Dimensional Solid Mechanics Problem

Physics-Informed Neural Network for Solving a One-Dimensional Solid Mechanics Problem

Our objective in this work is to demonstrate how physics-informed neural networks, a type of deep learning technology, can be utilized to examine the mechanical properties of a helicopter blade. The blade is regarded as a one-dimensional prismatic cantilever beam that is exposed to triangular loadin...

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Bibliographic Details
Main Authors: Vishal Singh, Dineshkumar Harursampath, Sharanjeet Dhawan, Manoj Sahni, Sahaj Saxena, Rajnish Mallick
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Modelling
Subjects:
physics-informed neural network
deep neural network
artificial neural network
computational solid mechanics
partial differential equation
Online Access:https://www.mdpi.com/2673-3951/5/4/80
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