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 …

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 …

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 …

Optimum condition-based maintenance policy with dynamic inspections based on reinforcement learning

J Cheng, Y Liu, M Cheng, W Li, T Li - Ocean Engineering, 2022 - Elsevier
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 …

Deep reinforcement learning for optimal life-cycle management of deteriorating regional bridges using double-deep Q-networks

Y Dong, X Lei - Smart Structures and Systems, An International Journal, 2022 - dbpia.co.kr
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 …

Knowledge transfer for adaptive maintenance policy optimization in engineering fleets based on meta-reinforcement learning

J Cheng, M Cheng, Y Liu, J Wu, W Li… - Reliability Engineering & …, 2024 - Elsevier
Maintenance policy optimization is crucial for ensuring the efficient functioning of structures
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

M Cheng, SMH Shah, A Nanni, HO Gao - Resilient Cities and Structures, 2024 - Elsevier
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 …

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 …

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 …

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 …