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A Petri-Net-based modelling approach to railway bridge asset management
Management of a large portfolio of infrastructure assets is a complex and demanding task for transport agencies. Although extensive research has been conducted on probabilistic models for asset management, in particular bridges, focus has been almost exclusively on deterioration modelling. The model being presented in this study tries to reunite a disjointed system by combining deterioration, inspection and maintenance models. A Petri-Net modelling approach is employed and the resulting model consists of a number of different modules each with its own source of data, calibration methodology and functionality. The modules interconnect providing a robust framework. The interaction between the modules can be used to provide meaningful outputs useful to railway bridge portfolio managers.
A Petri-Net-based modelling approach to railway bridge asset management
Management of a large portfolio of infrastructure assets is a complex and demanding task for transport agencies. Although extensive research has been conducted on probabilistic models for asset management, in particular bridges, focus has been almost exclusively on deterioration modelling. The model being presented in this study tries to reunite a disjointed system by combining deterioration, inspection and maintenance models. A Petri-Net modelling approach is employed and the resulting model consists of a number of different modules each with its own source of data, calibration methodology and functionality. The modules interconnect providing a robust framework. The interaction between the modules can be used to provide meaningful outputs useful to railway bridge portfolio managers.
A Petri-Net-based modelling approach to railway bridge asset management
Yianni, Panayioti C (author) / Rama, Dovile / Neves, Luis C / Andrews, John D / Castlo, David
2017
Article (Journal)
English
A Petri-Net-based modelling approach to railway bridge asset management
Taylor & Francis Verlag | 2017
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|Petri net modelling of bridge asset management using maintenance-related state conditions
Taylor & Francis Verlag | 2016
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