Hierarchical reinforcement learning for transportation infrastructure maintenance planning
Maintenance planning on bridges commonly faces multiple challenges, mainly related to
complexity and scale. Those challenges stem from the large number of structural elements …
complexity and scale. Those challenges stem from the large number of structural elements …
A unifying review of NDE models towards optimal decision support
Non-destructive evaluation (NDE) inspections are an integral part of asset integrity
management. The relationship between the condition of interest and the quantity measured …
management. The relationship between the condition of interest and the quantity measured …
Resilience in multilayer transportation infrastructure networks: a review and conceptual framework for equity-based assessment
M Arabi, S Gerasimidis, C Barchers… - Sustainable and Resilient …, 2024 - Taylor & Francis
This paper presents a comprehensive review of resilience concepts, methodologies, metrics,
and modeling techniques, and identifies key research gaps. These include the lack of …
and modeling techniques, and identifies key research gaps. These include the lack of …
[HTML][HTML] On robust risk-based active-learning algorithms for enhanced decision support
Classification models are a fundamental component of physical-asset management
technologies such as structural health monitoring (SHM) systems and digital twins. Previous …
technologies such as structural health monitoring (SHM) systems and digital twins. Previous …
Optimizing facility maintenance planning under uncertainty
Maintenance of civil infrastructure is necessary to ensure assets perform as intended over
their service life. As these elements age and degrade, appropriate repair planning helps …
their service life. As these elements age and degrade, appropriate repair planning helps …
Quantifying the Relative Change in Maintenance Costs due to Delayed Maintenance Actions in Transportation Infrastructure
Identifying optimal maintenance policies for transportation infrastructure such as bridges, is
a challenging task that requires taking into account many aspects relating to budget …
a challenging task that requires taking into account many aspects relating to budget …
[HTML][HTML] Scalable probabilistic deterioration model based on visual inspections and structural attributes from large networks of bridges
Visual inspections of large networks of bridges yield millions of data points scattered across
thousands of structural elements. Alongside visual inspections, structural attributes such as …
thousands of structural elements. Alongside visual inspections, structural attributes such as …
Enhancing bridge performance assessment with a hybrid attention-based long short-term memory and hidden Markov model using sparse inspection data
P Miao, C Zhou, Y Wu, W Hu, D Luo, S Ma, W Wang… - Structures, 2025 - Elsevier
Existing bridges typically undergo inspections every few years, generating a considerable
amount of inspection data and posing challenges for assessing their condition. This study …
amount of inspection data and posing challenges for assessing their condition. This study …
A stochastic model for estimating the network‐scale deterioration and effect of interventions on bridges
Visual inspections provide direct information about the deterioration states of each structural
element within a bridge. However, when managing a network of bridges, it becomes …
element within a bridge. However, when managing a network of bridges, it becomes …
Network-scale deterioration modelling of bridges based on visual inspections and structural attributes
Managing and maintaining bridges on a network-scale is directly associated with the
capacity to monitor and forecast the deterioration state of these bridges. Data-driven models …
capacity to monitor and forecast the deterioration state of these bridges. Data-driven models …