activity
20242026
most citedQuantifying the Value of Seismic Structural Health Monitoring for post-earthquake recovery of electric power system in terms of resilience enhancement

10 citations · 15 across the 12 of their papers we have counts for

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Showing 2026Show all

4 papers · 1 filter

physics.comp-ph2026

Efficient regime boundary detection in discontinuous simulation models

Federico Betti, Eleni Chatzi, Paolo Tiso

Many computational models exhibit multiple operating regimes separated by abrupt or non-smooth transitions as the input parameters vary. Such regime transitions complicate the cons…

eess.SP2026

Physics-Informed Feature Fusion and Structural Metadata Integration for Transferable Post-Earthquake Damage Classification: Experimental Evaluation and Community-Recovery Implications

Huangbin Liang, Hanqing Zhang, Jiazeng Shan +1

Earthquake-induced structural damage assessment remains a key challenge for population-based Structural Health Monitoring (PBSHM), where damage representations must generalize acro…

cs.LG2026

PiGGO: Physics-Guided Learnable Graph Kalman Filters for Virtual Sensing of Nonlinear Dynamic Structures under Uncertainty

Marcus Haywood-Alexander, Gregory Duthé, Eleni Chatzi

Digital twins provide a powerful paradigm for diagnostic and prognostic tasks in the monitoring and control of engineered systems; however, their deployment for complex structures…

cs.LG2026

Disentangling Damage from Operational Variability: A Label-Free Self-Supervised Representation Learning Framework for Output-Only Structural Damage Identification

Xudong Jian, Charikleia Stoura, Simon Scandella +1

Damage identification is a core task in structural health monitoring. In practice, however, its reliability is often compromised by confounding non-damage effects, such as variatio…