Machine learning for reliability engineering and safety applications: Review of current status and future opportunities
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 …
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
In recent times, there has been an increasing prevalence of surrogate models and
metamodeling techniques in approximating the responses of complex systems. These …
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 …
effective method for reliability assessment is the Monte Carlo method. This process …
Deep learning for accelerated seismic reliability analysis of transportation networks
To optimize mitigation, preparedness, response, and recovery procedures for infrastructure
systems, it is essential to use accurate and efficient means to evaluate system reliability …
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
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 …
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
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 …
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
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 …
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 …
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
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 …
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 …
structures or throughout the full-life cycle of innovative structure design, which should be …