Decision support framework for bridge condition assessments

I Björnsson, OL Ivanov, D Honfi, J Leander - Structural Safety, 2019 - Elsevier
An essential aspect in the maintenance of existing bridges is the ability to adequately and
accurately assess and evaluate the condition of the structure. Condition assessments, which …

The value of flexibility and sequential decision-making in maintenance strategies of infrastructure systems

S Zuluaga, M Sánchez-Silva - Structural safety, 2020 - Elsevier
The operation of infrastructure systems is a long-lasting managerial endeavour in which
decision makers need to adapt to a changing environment and new events that result from …

Managing infrastructure systems through changeability

M Sánchez-Silva - Journal of Infrastructure Systems, 2019 - ascelibrary.org
Any engineering structure is designed and built to operate in a dynamic and changing
environment that cannot be fully predicted at design. Thus, successful designs ought to …

Innovative and sustainable operation and maintenance of bridges

JS Jensen - Structure and Infrastructure Engineering, 2020 - Taylor & Francis
How can learnings from innovative and sustainable operation and maintenance (O&M) of
bridges contribute to improved planning for and design of bridges? The present article will …

Extended and generalized fragility functions

CP Andriotis, KG Papakonstantinou - Journal of Engineering …, 2018 - ascelibrary.org
Fragility functions indicate the probability of a system exceeding certain damage states
given some appropriate measures that characterize recorded or simulated data series …

Developing hybrid machine learning models to assign health score to railcar fleets for optimal decision making

M Ejlali, E Arian, S Taghiyeh, K Chambers… - Expert Systems with …, 2024 - Elsevier
A large amount of data is generated during the operation of a railcar fleet, which can easily
lead to dimensional disaster and reduce the resiliency of the railcar network. To solve these …

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 …

Remaining-useful-life prediction for Li-ion batteries

YH Chang, YC Hsieh, YH Chai, HW Lin - Energies, 2023 - mdpi.com
This paper aims to establish a predictive model for battery lifetime using data analysis. The
procedure of model establishment is illustrated in detail, including the data pre-processing …

[图书][B] Load testing of bridges: Current practice and diagnostic load testing

EOL Lantsoght - 2019 - api.taylorfrancis.com
Description: Leiden: CRC Press/Balkema,[2019]| Series: Structures and infrastructures
series, ISSN 1747-7735; volumes 12-13| Includes bibliographical references and index …

Probabilistic optimum bridge system maintenance management considering correlations of deteriorating components and service life extensions

S Kim, B Ge, DM Frangopol - ASCE-ASME Journal of Risk and …, 2022 - ascelibrary.org
Abstract Service life extensions of bridge components and systems due to maintenance can
be correlated when the maintenance actions are applied to multiple bridge components …