A comprehensive review of digital twin—part 2: roles of uncertainty quantification and optimization, a battery digital twin, and perspectives

A Thelen, X Zhang, O Fink, Y Lu, S Ghosh… - Structural and …, 2023 - Springer
As an emerging technology in the era of Industry 4.0, digital twin is gaining unprecedented
attention because of its promise to further optimize process design, quality control, health …

Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to COmpromise solution …

Ž Stević, D Pamučar, A Puška, P Chatterjee - Computers & industrial …, 2020 - Elsevier
Multi-criteria decision-making (MCDM) methods are very useful tools for daily decision-
making in different fields. In addition, determining an acceptable solution with respect to …

Life cycle sustainability assessment for multi-criteria decision making in bridge design: A review

IJ Navarro, V Penadés-Plà, D Martínez-Muñoz… - 2020 - books.google.com
Sustainable design of infrastructures has become a major matter of study since the recent
establishment of the Agenda 2030. This paper provides a systematic literature review on the …

A deep reinforcement learning framework for life-cycle maintenance planning of regional deteriorating bridges using inspection data

X Lei, Y Xia, L Deng, L Sun - Structural and Multidisciplinary Optimization, 2022 - Springer
Determination of regional deteriorating bridges' maintenance strategies for minimizing life-
cycle risks and costs constructs a complex optimization problem. Improper maintenance …

Multi-level time-variant vulnerability assessment of deteriorating bridge networks with structural condition records

X Lei, Y Xia, Y Dong, L Sun - Engineering Structures, 2022 - Elsevier
Bridges are critical to ensuring access to all parts of the transportation network, and they are
also the most vulnerable infrastructures. This study proposes a multi-level vulnerability …

Bridge maintenance planning framework using machine learning, multi-attribute utility theory and evolutionary optimization models

H Jaafaru, B Agbelie - Automation in Construction, 2022 - Elsevier
Although various tools and procedures have been developed to help transportation
engineers objectively evaluate bridge maintenance needs, selecting and scoping projects …

[HTML][HTML] Bridge management systems: A review on current practice in a digitizing world

F Brighenti, VF Caspani, G Costa, PF Giordano… - Engineering …, 2024 - Elsevier
Bridges are subject to a plethora of deterioration phenomena, such as corrosion, fatigue,
and damaging events (eg, truck impacts and earthquakes) that can affect their performance …

Developing the R-TOPSIS methodology for risk-based preventive maintenance planning: A case study in rolling mill company

H Seiti, A Hafezalkotob - Computers & Industrial Engineering, 2019 - Elsevier
The importance of day-to-day maintenance has increased because it plays a vital role in
maintaining and improving the availability, product quality, safety requirements, and low …

Sustainability-informed multi-criteria decision support framework for ranking and prioritization of pavement sections

SA Dabous, W Zeiada, T Zayed, R Al-Ruzouq - Journal of Cleaner …, 2020 - Elsevier
Ranking and prioritizing pavement infrastructure for maintenance and rehabilitation have
become major undertakings for several departments of transportation around the globe. This …

Parameterized deep reinforcement learning-enabled maintenance decision-support and life-cycle risk assessment for highway bridge portfolios

A Du, A Ghavidel - Structural Safety, 2022 - Elsevier
Deep reinforcement learning (DRL) has emerged to be a promising alternative capable of
providing intelligent and proactive sequential decision-support for bridge asset …