Machine learning in concrete science: applications, challenges, and best practices
Concrete, as the most widely used construction material, is inextricably connected with
human development. Despite conceptual and methodological progress in concrete science …
human development. Despite conceptual and methodological progress in concrete science …
Interfacial imperfection detection for steel-concrete composite structures using NDT techniques: A state-of-the-art review
H Chen, X Nie, S Gan, Y Zhao, H Qiu - Engineering Structures, 2021 - Elsevier
Currently, the steel–concrete composite structures (SCCSs) have been widely applied as
primary load-bearing members owing to their excellent structural behavior. However, due to …
primary load-bearing members owing to their excellent structural behavior. However, due to …
Interfacial debonding detection for CFST structures using an ultrasonic phased array: Application to the Shenzhen SEG building
Concrete filled steel tube (CFST) structures have been widely applied to the construction of
high-rise buildings and bridges. However, interfacial debonding defects generally occur due …
high-rise buildings and bridges. However, interfacial debonding defects generally occur due …
Detection of the pipeline elbow erosion by percussion and deep learning
Elbows are commonly used in pipelines to change the direction of flow, and the pipeline
elbows are prone to erosion caused by the transported medium. Detection of the pipeline …
elbows are prone to erosion caused by the transported medium. Detection of the pipeline …
A comparative study of prediction models for alkali-activated materials to promote quick and economical adaptability in the building sector
Alkali-activated materials (AAMs) have recently gained attention as potentially useful
alternative binders that can reduce carbon dioxide emissions initiated by the production of …
alternative binders that can reduce carbon dioxide emissions initiated by the production of …
Percussion-based quasi real-time void detection for concrete-filled steel tubular structures using dense learned features
Concrete-filled steel tubular (CFST) structures have been widely used to provide high load-
bearing capacity. Percussions are expected to provide simple and effective means of …
bearing capacity. Percussions are expected to provide simple and effective means of …
New prediction model for the ultimate axial capacity of concrete-filled steel tubes: An evolutionary approach
The complication linked with the prediction of the ultimate capacity of concrete-filled steel
tubes (CFST) short circular columns reveals a need for conducting an in-depth structural …
tubes (CFST) short circular columns reveals a need for conducting an in-depth structural …
Damage degree evaluation of masonry using optimized SVM-based acoustic emission monitoring and rate process theory
Y Wu, S Li - Measurement, 2022 - Elsevier
Abstract Evaluation of masonry damage is considerably challenging because of the non-
homogeneous nature of masonry materials and the rapid attenuation of signals. To this end …
homogeneous nature of masonry materials and the rapid attenuation of signals. To this end …
One-dimensional residual convolutional neural network and percussion-based method for pipeline leakage and water deposit detection
L Peng, J Zhang, S Lu, Y Li, G Du - Process Safety and Environmental …, 2023 - Elsevier
Pipeline leakage and water deposits can cause serious consequences, such as
environmental pollution, safety accidents, and economic losses. Therefore, effective …
environmental pollution, safety accidents, and economic losses. Therefore, effective …
Review of wave method-based non-destructive testing for steel-concrete composite structures: Multiscale simulation and multi-physics coupling analysis
In order to detect interfacial imperfections for steel–concrete composite structures (SCCSs),
various advanced non-destructive testing (NDT) methods have been proposed in recent …
various advanced non-destructive testing (NDT) methods have been proposed in recent …