Numerical simulation and computational modeling of thermo-electro-magnetic stress in anisotropic plates using scientific computing algorithms

This study presents a computational approach to analyze the nonlinear thermo-electro-magnetic stress behavior in anisotropic plates with complex geometries. The model is formulated based on the Hamilton-Ostrogradsky variational principle and the Kirchhoff-Love hypothesis, and solved numerically using Finite Element Method. The simulation incorporates coupled nonlinear partial differential equations representing mechanical displacements, heat conduction, and electromagnetic field interactions. Computational experiments are implemented using Python-based scientific computing tools, enabling efficient solution of the high-complexity system. Results show that electromagnetic effects increase structural deflection by approximately 11%, while combined thermal effects lead to a 16% increase. The study demonstrates the value of numerical modeling and algorithmic implementation in simulating multiphysics interactions in advanced materials, contributing to improved predictive analysis in structural informatics.

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