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Prof. Chatzi’s research couples novel simulation tools with state-of the-art monitoring methodologies for intelligent and data-driven assessment and diagnostics of engineered systems, with the goal of providing actionable tools able to guide operators and engineers in the management of their assets. A key aspect of her research lies in extraction of quantifiable metrics that are indicative of structural performance across the component, system and network levels. Her expertise lies in the area of Structural Health Monitoring, with a strong focus on problems lying beyond the commonly adopted assumption of linear time invariant systems. Her research spans a broad range of topics, including applications on emerging sensor technologies and structural control, methods for curbing uncertainties in structural diagnostics and life-cycle assessment, as well as advanced schemes for nonlinear/nonstationary dynamics simulations.
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arxiv(2024)
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STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNALno. 2 (2024): 1037-1052
CoRR (2024)
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Nonlinear Dynamicsno. 5 (2024): 3399-3420
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING (2024)
ENGINEERING STRUCTURES (2024): 117513
Mechanical Systems and Signal Processing (2024): 111340
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