Area of research
Building and Construction · Civil and Structural Engineering
Research interest
Research focused on Convolutional neural network and Spall, with related work in Adhesive, Cementitious, Lubrication. Notable publications include 'Convolutional neural networks (CNNs)-based multi-category damage detection and recognition of high-speed rail (HSR) reinforced concrete (RC) bridges using test images', 'Bonding performance of melamine-urea–formaldehyde and phenol-resorcinol–formaldehyde adhesive glulams at elevated temperatures', and 'Structural damage-causing concrete cracking detection based on a deep-learning method'.
Preparation and investigation of perfluoropolyether-based magnetic fluids for space lubrication
Convolutional neural networks (CNNs)-based multi-category damage detection and recognition of high-speed rail (HSR) reinforced concrete (RC) bridges using test images
Structural damage-causing concrete cracking detection based on a deep-learning method
Time-varying behavior and its coupling effects with environmental conditions and cementitious material types on surface chloride concentration of marine concrete
Bonding performance of melamine-urea–formaldehyde and phenol-resorcinol–formaldehyde adhesive glulams at elevated temperatures