Engineering Commons^™

Study On Hybrid Model Combining Super Learner And Physics-Based Models For Shm In Bridges Using Low-Cost Bwim, Suyun Ham Ph.D, Shih-Ho Chao, Kyeong Rok Ryu, Yin Chao Yu, Dafnik Saril Kumar David

Data

The main objective of this project is to study and develop hybrid models of BWIM physics-based models incorporates with SHM inspection used by artificial intelligence (AI) techniques to predict structural damage. This study presents a comprehensive assessment of FE simulations leveraging contact method verified by vehicle-bridge interaction(VBI) theory and uses machine learning (ML) techniques to identify and predict structural damages from the structural response automatically. Bridges are a fundamental part of infrastructure management. The main challenge that we face is the aging of these transportation infrastructures without a tool to perform accurate structural assessments in a real-time manner. Unfortunately, this …