1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Physics-informed Multiple-Input Operators for efficient dynamic response prediction of structures
Bilal Ahmed, Yuqing Qiu, Diab W. Abueidda +3
Finite element (FE) modeling is essential for structural analysis but remains computationally intensive, especially under dynamic loading. While operator learning models have shown…
eess.SP2024★ 1 cited
Damage identification for bridges using machine learning: Development and application to KW51 bridge
Yuqing Qiu, Bilal Ahmed, Diab W. Abueidda +6
The available tools for damage identification in civil engineering structures are known to be computationally expensive and data-demanding. This paper proposes a comprehensive mach…
cs.LG2024★ 1 cited
Physics-informed DeepONet with stiffness-based loss functions for structural response prediction
Bilal Ahmed, Yuqing Qiu, Diab W. Abueidda +4
Finite element modeling is a well-established tool for structural analysis, yet modeling complex structures often requires extensive pre-processing, significant analysis effort, an…