Machine learning for reliability engineering and safety applications: Review of current status and future opportunities

Z Xu, JH Saleh - Reliability Engineering & System Safety, 2021 - Elsevier
Abstract Machine learning (ML) pervades an increasing number of academic disciplines and
industries. Its impact is profound, and several fields have been fundamentally altered by it …

Application of data-driven surrogate models in structural engineering: a literature review

D Samadian, IB Muhit, N Dawood - Archives of Computational Methods in …, 2024 - Springer
In recent times, there has been an increasing prevalence of surrogate models and
metamodeling techniques in approximating the responses of complex systems. These …

Improvement in the computational efficiency of a technique for assessing the reliability of electric power systems based on the Monte Carlo method

D Krupenev, D Boyarkin, D Iakubovskii - Reliability Engineering & System …, 2020 - Elsevier
The reliability of energy systems is assessed to control their operation and expansion. An
effective method for reliability assessment is the Monte Carlo method. This process …

Deep learning for accelerated seismic reliability analysis of transportation networks

MA Nabian, H Meidani - Computer‐Aided Civil and …, 2018 - Wiley Online Library
To optimize mitigation, preparedness, response, and recovery procedures for infrastructure
systems, it is essential to use accurate and efficient means to evaluate system reliability …

Physics-informed machine learning assisted uncertainty quantification for the corrosion of dissimilar material joints

P Bansal, Z Zheng, C Shao, J Li, M Banu… - Reliability Engineering & …, 2022 - Elsevier
Jointing techniques like the Self-Piercing Riveting (SPR), Resistance Spot Welding (RSW)
and Rivet-Weld (RW) joints are used for mass production of dissimilar material joints due to …

Reliability of multi-purpose offshore-facilities: Present status and future direction in Australia

V Aryai, R Abbassi, N Abdussamie, F Salehi… - Process Safety and …, 2021 - Elsevier
Sustainable use of the ocean for food and energy production is an emerging area of
research in different countries around the world. This goal is pursued by the Australian …

[HTML][HTML] Risk-informed operation and maintenance of complex lifeline systems using parallelized multi-agent deep Q-network

D Lee, J Song - Reliability Engineering & System Safety, 2023 - Elsevier
Lifeline systems such as transportation and water distribution networks may deteriorate with
age, raising the risk of system failure or degradation. Thus, system-level sequential decision …

A comprehensive review of resilience of urban metro systems: a perspective from earthquake engineering

J Hu, W Wen, C Zhai, S Pei - Tunnelling and Underground Space …, 2024 - Elsevier
The paper presents a systematic review of the research advancements on the resilience of
urban metro systems from the perspective of earthquake engineering. The review covers the …

A machine learning approach to predict the k-coverage probability of wireless multihop networks considering boundary and shadowing effects

J Nagar, SK Chaturvedi, S Soh, A Singh - Expert Systems with Applications, 2023 - Elsevier
Network coverage is a pivotal performance metric of wireless multihop networks (WMNs)
determining the quality of service rendered by the network. Earlier, a few studies have …

Evidence-theory-based structural reliability analysis with epistemic uncertainty: a review

Z Zhang, C Jiang - Structural and Multidisciplinary Optimization, 2021 - Springer
Epistemic uncertainty widely exists in the early design stage of complex engineering
structures or throughout the full-life cycle of innovative structure design, which should be …