A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Simulation Supported Bayesian Network Approach for Performance Assessment of Infrastructure Systems
We present a simulation supported Bayesian Network modeling approach to evaluate the performance of bridge networks with respect to both infrastructure owner's cost and users' travel time based on bridge level maintenance decisions. By combining system decomposition, simulation and Bayesian Networkm (BN) modelling, our approach enables the construction of a BN model of bridge networks where probabilistic information resulting from simulation are used to populate the conditional probability tables. Our approach is therefore useful when access to actual conditions of bridges and their monitoring is difficult, and the conditional dependencies accross different networks elements are not easily quantifiable. Once built, the BN can be used by infrastructure managers as a scenario analysis tool to assess how maintenance decisions on individual bridges affect maintenance costs and travel time for the whole network. The approach is presented on a small-scale bridge network for demonstration purposes.
Simulation Supported Bayesian Network Approach for Performance Assessment of Infrastructure Systems
We present a simulation supported Bayesian Network modeling approach to evaluate the performance of bridge networks with respect to both infrastructure owner's cost and users' travel time based on bridge level maintenance decisions. By combining system decomposition, simulation and Bayesian Networkm (BN) modelling, our approach enables the construction of a BN model of bridge networks where probabilistic information resulting from simulation are used to populate the conditional probability tables. Our approach is therefore useful when access to actual conditions of bridges and their monitoring is difficult, and the conditional dependencies accross different networks elements are not easily quantifiable. Once built, the BN can be used by infrastructure managers as a scenario analysis tool to assess how maintenance decisions on individual bridges affect maintenance costs and travel time for the whole network. The approach is presented on a small-scale bridge network for demonstration purposes.
Simulation Supported Bayesian Network Approach for Performance Assessment of Infrastructure Systems
Jafari Songhori, Mohsen (author) / Fecarotti, Claudia (author) / van Houtum, Geert-Jan (author) / Leva, Maria Chiara / Patelli, Edoardo / Podofillini, Luca / Wilson, Simon
2022-01-01
Jafari Songhori , M , Fecarotti , C & van Houtum , G-J 2022 , Simulation Supported Bayesian Network Approach for Performance Assessment of Infrastructure Systems . in M C Leva , E Patelli , L Podofillini & S Wilson (eds) , Proceedings of the 32nd European Safety and Reliability Conference (ESREL 2022) 28th August – 1st September 2022, Dublin, Ireland . , S03-04-249 , Research Publishing , pp. 1905-1912 , 32nd European Safety and Reliability Conference, ESREL 2022 , Dublin , Ireland , 28/08/22 . https://doi.org/10.3850/978-981-18-5183-4_S03-04-249-cd
Article (Journal)
Electronic Resource
English
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