Review on automated condition assessment of pipelines with machine learning

Y Liu, Y Bao - Advanced Engineering Informatics, 2022‏ - Elsevier
Pipelines carrying energy products play vital roles in economic wealth and public safety, but
incidents continue occurring. Condition assessment of pipelines is essential to identify …

[HTML][HTML] Distributed fiber optic sensors for tunnel monitoring: A state-of-the-art review

X Zhang, H Zhu, X Jiang, W Broere - Journal of Rock Mechanics and …, 2024‏ - Elsevier
Distributed fiber optic sensors (DFOSs) possess the capability to measure strain and
temperature variations over long distances, demonstrating outstanding potential for …

Automated crack detection and crack depth prediction for reinforced concrete structures using deep learning

KC Laxman, N Tabassum, L Ai, C Cole… - Construction and Building …, 2023‏ - Elsevier
Automatic inspection for crack detection and estimation of the crack depth is critical in
assessing the damage and determining the appropriate method of repair in concrete …

Application of artificial intelligence in digital twin models for stormwater infrastructure systems in smart cities

A Sharifi, AT Beris, AS Javidi, MS Nouri… - Advanced Engineering …, 2024‏ - Elsevier
Digital twins provide insights into physical objects by serving as advanced virtual
representations. Their sensors capture detailed information about an object's functionality …

Monitoring restrained shrinkage and cracks of ultra-high-performance concrete (UHPC) using distributed fiber optic sensors

X Tan, J Du, Q Zhang, W Meng, Y Bao - Construction and Building Materials, 2024‏ - Elsevier
This paper presents a method to measure the shrinkage and cracks of ultra-high-
performance concrete (UHPC) using distributed fiber optic sensors. UHPC prisms and rings …

Brillouin fiber optic sensors and mobile augmented reality-based digital twins for quantitative safety assessment of underground pipelines

M Li, X Feng, Y Han - Automation in Construction, 2022‏ - Elsevier
The impossibility of visual inspection and the complexity of combined loads hamper the
quantitative assessment, lifetime prediction and control of underground pipelines during …

A review on health monitoring of concrete structures using embedded piezoelectric sensor

R Gomasa, V Talakokula, SKR Jyosyula… - Construction and Building …, 2023‏ - Elsevier
Concrete commonly constitutes approximately fifty percent in building constructions and its
significance extends even further, often exceeding fifty percent in infrastructure projects such …

Monitoring of pipelines subjected to interactive bending and dent using distributed fiber optic sensors

X Tan, S Poorghasem, Y Huang, X Feng… - Automation in …, 2024‏ - Elsevier
Interactive anomalies of pipelines represent important contributors to pipeline incidents, but
monitoring interactive anomalies is challenging. This paper presents an approach to monitor …

A transfer learning approach for acoustic emission zonal localization on steel plate-like structure using numerical simulation and unsupervised domain adaptation

L Ai, B Zhang, P Ziehl - Mechanical Systems and Signal Processing, 2023‏ - Elsevier
The detection and localization of damage in metallic structures using acoustic emission (AE)
monitoring and artificial intelligence technology such as deep learning has been widely …

Sustainable development for oil and gas infrastructure from risk, reliability, and resilience perspectives

Y Mahmood, T Afrin, Y Huang, N Yodo - Sustainability, 2023‏ - mdpi.com
The oil and gas (O&G) sector is a critical energy infrastructure to a Nation's welfare. As
developed as the O&G industry may seem, its aging infrastructure gradually shows …