Optimized case-based moment balance machine for predicting scour depth at bridge piers and abutments
Structural Health Monitoring: An International Journal
Published online on July 29, 2026
Abstract
Structural Health Monitoring, Ahead of Print.
Scour is a leading cause of bridge failure, making accurate prediction of scour depth essential for structural safety and risk assessment. This study proposes a novel hybrid machine learning model, ASSA-NSM-MBM, to enhance prediction accuracy, robustness, ...
Scour is a leading cause of bridge failure, making accurate prediction of scour depth essential for structural safety and risk assessment. This study proposes a novel hybrid machine learning model, ASSA-NSM-MBM, to enhance prediction accuracy, robustness, ...