Advances in the Integration of Artificial Intelligence and Ultrasonic Techniques for Monitoring Concrete Structures: A Comprehensive Review

G Angiulli, P Burrascano, M Ricci… - Journal of Composites …, 2024 - search.proquest.com
This review examines the integration of advanced ultrasonic techniques and artificial
intelligence (AI) for monitoring and analyzing concrete structures, focusing on detecting and …

Investigation of interfacial debonding identification for concrete filled steel tube columns based on acoustic signals

H Cao, J Li, X Chen - Measurement, 2025 - Elsevier
A method was proposed to address challenges in detecting debonding in concrete-filled
steel tube (CFST) columns by analyzing acoustic signals. In this approach, wavelet time …

Numerical and experimental study on the evolution of thermal contrast for infrared detection of debonding in concrete filled steel tubular structure

H Cai, C Cheng, L Wang, H Zhang, J Zhou, R Na… - Applied Thermal …, 2025 - Elsevier
Abstract Debonding in Concrete-Filled Steel Tubes (CFST) can reduce bridges' overall load-
bearing capacity and thus threaten the bridge's structural safety. Infrared thermography (IRT) …

Research on void identification of concrete filled steel tube under data imbalance and constraint condition change

K Xie, Y Qin, X Luo, D Liang, Z Luo, H Li, G Long, T Fu - Structures, 2025 - Elsevier
The detection of voids is a critical phase in assessing the condition of Concrete-Filled Steel
Tube (CFST) structures. Existing testing methods are laborious, and detection algorithms are …

[HTML][HTML] Detection of Debonding Defects in Concrete-Filled Steel Tubes Using Fluctuation Analysis Method

C Wang, Y Yang, G Fan, J Lian, F Chen - Sensors, 2024 - mdpi.com
This study presents a comprehensive method for detecting debonding defects in concrete-
filled steel tube (CFST) structures using wave propagation analysis with externally attached …