Digital twins-boosted intelligent maintenance of ageing bridge hangers exposed to coupled corrosion–fatigue deterioration
J Heng, Y Dong, L Lai, Z Zhou, DM Frangopol - Automation in Construction, 2024 - Elsevier
The corrosion–fatigue coupled deterioration of ageing steel bridge hangers presents
significant structural challenges, demanding rigorous condition assessments and timely …
significant structural challenges, demanding rigorous condition assessments and timely …
A decision-making framework for load rating planning of aging bridges using deep reinforcement learning
M Cheng, DM Frangopol - Journal of Computing in Civil …, 2021 - ascelibrary.org
Load rating is gaining popularity as a method for inspecting the structural performance of
aging bridges and determining maintenance actions. Cost-effective condition-based …
aging bridges and determining maintenance actions. Cost-effective condition-based …
Deep reinforcement learning for cost-optimal condition-based maintenance policy of offshore wind turbine components
J Cheng, Y Liu, W Li, T Li - Ocean Engineering, 2023 - Elsevier
The high cost of operation and maintenance can impede the development of offshore wind
turbines (OWTs). With advancements in detection technology, condition-based maintenance …
turbines (OWTs). With advancements in detection technology, condition-based maintenance …
Optimum condition-based maintenance policy with dynamic inspections based on reinforcement learning
During the service life, inspections and repairs should be applied timely to maintain the
reliability level of deteriorating structures. Condition-based maintenance (CBM) is an …
reliability level of deteriorating structures. Condition-based maintenance (CBM) is an …
Deep reinforcement learning for optimal life-cycle management of deteriorating regional bridges using double-deep Q-networks
Optimal life-cycle management is a challenging issue for deteriorating regional bridges. Due
to the complexity of regional bridge structural conditions and a large number of inspection …
to the complexity of regional bridge structural conditions and a large number of inspection …
Knowledge transfer for adaptive maintenance policy optimization in engineering fleets based on meta-reinforcement learning
Maintenance policy optimization is crucial for ensuring the efficient functioning of structures
and systems and mitigating the risk of deterioration. Reinforcement learning methods …
and systems and mitigating the risk of deterioration. Reinforcement learning methods …
[HTML][HTML] Automated knowledge graphs for complex systems (AutoGraCS): Applications to management of bridge networks
With the ability to harness the power of big data, the digital twin (DT) technology has been
increasingly applied to the modeling and management of structures and infrastructure …
increasingly applied to the modeling and management of structures and infrastructure …
Consideration of uncertainties in site investigation plans and LRFD recommendations for piles driven into intermediate geomaterials
OE Oluwatuyi - 2023 - search.proquest.com
In conducting site investigations and designing piles driven into intermediate geomaterials
(IGMs), it is crucial to consider uncertainties, especially those associated with the …
(IGMs), it is crucial to consider uncertainties, especially those associated with the …
Smart maintenance management of highway bridges subject to inspections
G Xu - 2023 - search.proquest.com
Bridge maintenance management aims to balance life-cycle costs and bridge safety based
on inspection data and by predicting the time-dependent bridge deterioration using physics …
on inspection data and by predicting the time-dependent bridge deterioration using physics …
Bridge Maintenance Management Based on Routine Inspection Data: A Quantitative Approach
G Xu, F Azhari - Journal of Bridge Engineering, 2025 - ascelibrary.org
Mainstream bridge management systems use Markov chains of bridge condition ratings
(CRs) to simulate temporal bridge health degradations and apply Markov decision …
(CRs) to simulate temporal bridge health degradations and apply Markov decision …