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New physics-informed DeepONet model aids structural health monitoring

By PulseAugur Editorial · [2 sources] ·

Researchers have developed a novel physics-informed DeepONet framework to create a fast and physically consistent surrogate model for real-time structural health monitoring of fractured elastic domains. This model predicts displacement fields based on boundary conditions and fracture geometry, notably without requiring finite-element-generated training data. The framework incorporates a weak imposition of the traction-free condition on fracture boundaries via a localized penalty term, with initial examples demonstrating its feasibility for specific fracture geometries. AI

IMPACT This research could lead to more efficient and accurate real-time structural health monitoring systems.

RANK_REASON The cluster contains an academic paper detailing a new model framework.

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New physics-informed DeepONet model aids structural health monitoring

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The cluster contains an academic paper detailing a new model framework.
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paper, model release
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COVERAGE [2]

  1. arXiv cs.LG TIER_1 English(EN) · Rodolphe Barlogis, Ferhat Tamssaouet, Quentin Falcoz, St\'ephane Grieu ·

    Learning Physics-Informed Surrogate Model of Linear Elastic Displacement Fields from Geometry

    arXiv:2607.09382v1 Announce Type: new Abstract: This work aims to develop a fast and physically consistent surrogate model for real-time structural health monitoring of fractured elastic domains. We propose a physics-informed DeepONet framework that predicts displacement fields f…

  2. arXiv cs.LG TIER_1 English(EN) · Stéphane Grieu ·

    Learning Physics-Informed Surrogate Model of Linear Elastic Displacement Fields from Geometry

    This work aims to develop a fast and physically consistent surrogate model for real-time structural health monitoring of fractured elastic domains. We propose a physics-informed DeepONet framework that predicts displacement fields from both boundary conditions and fracture geomet…

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