Development and Evaluation of a Task-Adaptive and Hierarchical Deep Learning Framework for Multitype Damage Detection in Reinforced Concrete Structures

Abstract

AbstractWith the rapid advancement of deep learning, automated inspection of reinforced concrete (RC) structures has become increasingly viable. However, existing models are typically task-specific, limiting their utility across diverse scenarios. This ...Practical ApplicationsThis study presents a new, all-in-one artificial intelligence framework designed to help engineers and inspectors quickly and accurately identify multiple types of damage in concrete structures. Unlike many existing tools that can ...