Review on recent advances in structural health monitoring paradigm for looseness detection in bolted assemblies

N Chelimilla, V Chinthapenta… - Structural Health …, 2023 - journals.sagepub.com
The integrity of bolted joints is still a challenging problem owing to the gross or localized slip
at the interfacial surfaces of the joints when subjected to external disturbances such as …

Intelligent monitoring of concrete-rock interface debonding via ultrasonic measurement integrated with convolutional neural network

C Zhang, Q Yan, Y Zhang, X Liao, H Zhong - Construction and Building …, 2023 - Elsevier
This paper presents an intelligent methodology for monitoring and assessing the interfacial
debonding damage process of concrete-rock composites through the piezoelectric-based …

An innovative deep neural network coordinating with percussion-based technique for automatic detection of concrete cavity defects

X Liao, Q Yan, Y Zhang, H Zhong, M Qi… - Construction and Building …, 2023 - Elsevier
Cavity defects are usually invisible in concrete, failure to detect and repair them in time could
significantly weaken the load-bearing capacity of engineering structures, potentially …

Detection of the pipeline elbow erosion by percussion and deep learning

J Chen, L Cao, G Song - Mechanical Systems and Signal Processing, 2023 - Elsevier
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 …

Percussion-based quasi real-time void detection for concrete-filled steel tubular structures using dense learned features

D Chen, Z Shen, L Huo, Y Narazaki - Engineering Structures, 2023 - Elsevier
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 …

A novel percussion-based approach for pipeline leakage detection with improved MobileNetV2

L Peng, J Zhang, Y Li, G Du - Engineering Applications of Artificial …, 2024 - Elsevier
Pipelines are susceptible to oil and gas leaks during long-distance transportation due to
factors such as damage from external forces and aging. However, existing pipeline leakage …

Automatic pipeline fault detection using one-dimensional convolutional bidirectional long short-term memory networks with wide first-layer kernels

L Peng, W Huang, G Du, Y Li, Q Xu… - Structural Health …, 2024 - journals.sagepub.com
Pipeline networks are crucial components of modern infrastructure, and ensuring their
reliable operation is essential for sustainable development. The percussion-based methods …

Underwater bolted flange looseness detection using percussion-induced sound and Feature-reduced Multi-ROCKET model

J Chen, Z Chen, W Zhu, G Song - Structural Health …, 2024 - journals.sagepub.com
Recently, in the field of structural health monitoring, the detection of bolted connection
looseness through percussion-based method and machine learning technology has …

An exploratory study of underwater bolted connection looseness detection using percussion and a shallow machine learning algorithm

S He, J Chen, Z Chen, G Song - Acta Mechanica Sinica, 2023 - Springer
As the looseness of underwater bolted connections may cause catastrophic consequences,
their regular inspection is vital. This paper proposes an exploratory approach to detecting …

Nondestructive detection of fiber content in steel fiber reinforced concrete through percussion method coordinated with a hybrid deep learning network

C Zhang, Q Yan, Y Zhang, X Liao, G Xu, Z He - Journal of Building …, 2024 - Elsevier
Accurate inspection of the steel fiber content is necessary to assure the designed
performance and required quality of steel fiber reinforced concrete (SFRC). This paper …