Recherche avancée
Affichage des résultats 31 à 40 sur 62 au total
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Use of physics-augmented neural networks for unsupervised learning of material constitutive relations - Comparison of the NN-Euclid and NN-mCRE methods
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A modified Constitutive Relation Error (mCRE) framework to learn nonlinear constitutive models from strain measurements with thermodynamics-consistent Neural Networks
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A modified Constitutive Relation Error framework to learn nonlinear constitutive laws using physics-augmented Neural Networks
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Model updating with a Modified Dual Kalman Filter acting on distributed strain measurements
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NN-mCRE: a modified Constitutive Relation Error framework for unsupervised learning of nonlinear state laws with physics-augmented Neural Networks
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Data-based Model Updating, Selection, and Enrichment using the Modified Constitutive Relation Error Concept
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Damage tracking using distributed optic fiber sensors in structures
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Réseaux de neurones informés par la physique pour l’apprentissage de lois de comportement
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DREAM-ON: Merging advanced sensing techniques and simulation tools for future structural health monitoring technologies
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Data-based Model Updating, Selection, and Enrichment using the Modified Constitutive Relation Error Concept
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