Artificial intelligence in structural health management of existing bridges

VM Di Mucci, A Cardellicchio, S Ruggieri… - Automation in …, 2024 - Elsevier
The paper presents a systematic review about the use of artificial intelligence (AI) in the field
of structural health management of existing bridges. Using the PRISMA protocol, 81 journal …

Critical review of data-driven decision-making in bridge operation and maintenance

C Wu, P Wu, J Wang, R Jiang, M Chen… - Structure and …, 2021 - Taylor & Francis
Bridges are critical infrastructure, and effective operation and maintenance (O&M) is
essential for ensuring the good condition of bridges. Owing to the increasing complexity of …

Deep reinforcement learning–enabled bridge management considering asset and network risks

DY Yang - Journal of Infrastructure Systems, 2022 - ascelibrary.org
Bridges deteriorate over time due to various environmental and mechanical stressors.
Deterioration is a significant risk to bridge owners (asset risk) and the traveling public …

Intelligent condition prediction model for bridge infrastructure based on evaluating machine learning algorithms

S Abu Dabous, A Alzghoul, F Ibrahim - Smart and Sustainable Built …, 2024 - emerald.com
Purpose Prediction models are essential tools for transportation agencies to forecast the
condition of bridge decks based on available data, and artificial intelligence is paramount for …

Comparison of Markovian-based bridge deterioration model approaches

J Collins, J Weidner - Journal of Bridge Engineering, 2023 - ascelibrary.org
Bridge management systems are a critical component in the toolbox of those who are
responsible for maintaining a population of bridges. Deterioration models are generally …

Development of non-parametric deterioration models for risk and reliability assessments of concrete and timber bridges

I Srikanth, M Arockiasamy - Journal of Performance of Constructed …, 2022 - ascelibrary.org
Distresses in concrete and timber bridge components occur due to physical, chemical and
mechanical factors that manifest as observable symptoms of deterioration. Deterioration …

Machine learning approach for predicting bridge components' condition ratings

MM Mia, S Kameshwar - Frontiers in Built Environment, 2023 - frontiersin.org
Information on bridge condition rating is critical to make decisions regarding rehabilitation or
replacement of bridges. Currently, bridge components' condition ratings are evaluated …

Comparison of Random Survival Forest with Accelerated Failure Time-Weibull Model for Bridge Deck Deterioration

M Lu, S Ilgin Guler - Transportation Research Record, 2022 - journals.sagepub.com
Bridge deck deterioration modeling is critical to infrastructure management. Deterioration
modeling is traditionally done using deterministic models, stochastic models, and recently …

[图书][B] Exploring Structural Health Monitoring Value of Information based on Remaining Useful Life Extension Potential

AJ Valkonen - 2023 - search.proquest.com
Abstract Structural Health Monitoring (SHM) is an overarching term for methods and
techniques used to gain accurate, in-time information about the condition and performance …

Heterogeneity-based survival analysis of NBI condition ratings for concrete highway bridge decks in Oregon by condition group

JC Anderson, A Unnikrishnan… - Journal of Infrastructure …, 2021 - ascelibrary.org
This study applied a heterogeneity-based survival analysis to determine significant
contributing factors to a bridge deck's time-in-condition rating (TICR) by condition rating (CR) …