3 citations · 3 across the 5 of their papers we have counts for
5 papers
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…
Neuro-DynaStress: Predicting Dynamic Stress Distributions in Structural Components
Hamed Bolandi, Gautam Sreekumar, Xuyang Li +2
Structural components are typically exposed to dynamic loading, such as earthquakes, wind, and explosions. Structural engineers should be able to conduct real-time analysis in the…
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…