Conventional elasticity problems are primarily numerically solved using finite element methods,where mesh partitioning significantly influences computational results,leading to certain limitations in solving mechanical problems.Neural networks,as a versatile numerical approximator,can be employed to solve partial differential equa-tions in elasticity mechanics.This paper establishes a neural network partial differential equation solving model based on physical constraints.Taking the example of common two-dimensional plane compression calculations,the method's solution and validation are implemented,providing new ideas and methods for intelligent elasticity prob-lem-solving.
关键词
弹性力学/神经网络/数值计算/偏微分方程组
Key words
elasticity mechanics/neural networks/numerical computation/system of partial differential equa-tions
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