A Two-Dimension Dynamic Bayesian Network for Large-Scale Degradation Modeling with an Application to a Bridges Network-Reference-Cited by-同舟云学术

A Two-Dimension Dynamic Bayesian Network for Large-Scale Degradation Modeling with an Application to a Bridges Network

Published:2017-07-03 Issue:8 Volume:32 Page:641-656
ISSN:1093-9687
Container-title:Computer-Aided Civil and Infrastructure Engineering
language:en
Short-container-title:Computer-Aided Civil and Infrastructure Engineering

Author:

Kosgodagan-Dalla Torre Alex¹,Yeung Thomas G.¹,Morales-Nápoles Oswaldo²,Castanier Bruno³,Maljaars Johan⁴,Courage Wim⁵

Affiliation:

1. IMT Atlantique, LS2N; Nantes; France

2. Faculty of Civil Engineering; Delft University of Technology; Delft The Netherlands

3. LARIS, Université d'Angers; Angers France

4. TNO, Structural Reliability; Delft, The Netherlands and Department of the Built Environment, Eindhoven University of Technology; Eindhoven The Netherlands

5. TNO; Structural Reliability; Delft The Netherlands

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Graphics and Computer-Aided Design,Computer Science Applications,Civil and Structural Engineering

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/mice.12286/fullpdf

Reference34 articles.

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2. Estimating transition probabilities in Markov chain-based deterioration models for management of wastewater systems;Baik;Journal of Water Resources Planning and Management,2006

3. A Markovian-Bayesian network for risk analysis of high speed and conventional railway lines integrating human errors;Castillo;Computer-Aided Civil and Infrastructure Engineering,2015

4. Bayesian networks-based probabilistic safety analysis for railway lines;Castillo;Computer-Aided Civil and Infrastructure Engineering,2016

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