3 citations · 3 across the 5 of their papers we have counts for
4 papers · 1 filter
Estimating Parameter Fields in Multi-Physics PDEs from Scarce Measurements
Xuyang Li, Mahdi Masmoudi, Rami Gharbi +2
Parameterized partial differential equations (PDEs) underpin the mathematical modeling of complex systems in diverse domains, including engineering, healthcare, and physics. A cent…
Mechanics-Informed Autoencoder Enables Automated Detection and Localization of Unforeseen Structural Damage
Xuyang Li, Hamed Bolandi, Mahdi Masmoudi +3
Structural health monitoring (SHM) ensures the safety and longevity of structures like buildings and bridges. As the volume and scale of structures and the impact of their failure…
Physics Informed Neural Network for Dynamic Stress Prediction
Hamed Bolandi, Gautam Sreekumar, Xuyang Li +2
Structural failures are often caused by catastrophic events such as earthquakes and winds. As a result, it is crucial to predict dynamic stress distributions during highly disrupti…
NeuralSI: Structural Parameter Identification in Nonlinear Dynamical Systems
Xuyang Li, Hamed Bolandi, Talal Salem +2
Structural monitoring for complex built environments often suffers from mismatch between design, laboratory testing, and actual built parameters. Additionally, real-world structura…