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] 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 …

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 …

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 …

Strain transfer effect on measurements with distributed fiber optic sensors

M Yan, X Tan, S Mahjoubi, Y Bao - Automation in Construction, 2022 - Elsevier
Strain transfer phenomenon in distributed fiber optic sensors (DFOS) has shown significant
effects on sensor survival and measurement of strain distributions as well as detection and …

[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 …

Mobile augmented reality-based visualization framework for lifecycle O&M support of urban underground pipe networks

M Li, X Feng, Y Han, X Liu - Tunnelling and Underground Space …, 2023 - Elsevier
The structural deterioration of urban underground pipe networks is the accumulated
combined effects of physical, environmental and operational factors during the whole …

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 …

Determination of vehicle loads on bridges by acoustic emission and an improved ensemble artificial neural network

KC Laxman, A Ross, L Ai, A Henderson… - … and Building Materials, 2023 - Elsevier
Bridges are significant hubs in the US national economy, facilitating the movement of goods
and vehicles. The condition of bridges in the state of South Carolina is currently under …

Monitoring and quantification of non-uniform corrosion induced mass loss of steel piles with distributed optical fiber sensors

W Shen, Q Pang, L Fan, P Li, X Zhao - Automation in Construction, 2023 - Elsevier
Steel piles are used in foundation structures to support offshore wind power system, but they
suffer from serious non-uniform corrosion in the marine environment, which can threaten the …