A comprehensive review of digital twin—part 2: roles of uncertainty quantification and optimization, a battery digital twin, and perspectives
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 …
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 …
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 …
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 …
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
Determination of regional deteriorating bridges' maintenance strategies for minimizing life-
cycle risks and costs constructs a complex optimization problem. Improper maintenance …
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
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 …
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 …
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 …
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 …
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
Ranking and prioritizing pavement infrastructure for maintenance and rehabilitation have
become major undertakings for several departments of transportation around the globe. This …
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 …
providing intelligent and proactive sequential decision-support for bridge asset …