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Soufiane Benounas

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Sep 2026

Physics-informed hybrid learning for bending analysis of multidirectional porous FG shells

A thorough Physics-Informed Machine Learning framework that integrates an improved higher-order shear deformation theory with a finite element formulation to forecast the bending behavior of multidirectional functionally graded (MFG) porous metal foam doubly curved shells is created.

Soufiane Benounas, M. Belarbi, Smain Bezzina et al. · 0 citations

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