Railway bridge asset management using a Petri-Net modelling approach

Infrastructure assets can be difficult to manage due to the array of defects, the variety of environmental situations and the different operational scenarios. A number of studies have tried to model bridge asset management. The main focus of these models has been on the deterioration profiling as ca...

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Main Authors: Yianni, Panayioti C., Rama, Dovile, Neves, Luís C., Andrews, John D.
Format: Conference or Workshop Item
Published: 2016
Online Access:https://eprints.nottingham.ac.uk/39035/
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author Yianni, Panayioti C.
Rama, Dovile
Neves, Luís C.
Andrews, John D.
author_facet Yianni, Panayioti C.
Rama, Dovile
Neves, Luís C.
Andrews, John D.
author_sort Yianni, Panayioti C.
building Nottingham Research Data Repository
collection Online Access
description Infrastructure assets can be difficult to manage due to the array of defects, the variety of environmental situations and the different operational scenarios. A number of studies have tried to model bridge asset management. The main focus of these models has been on the deterioration profiling as capturing this can be complex. The model presented tries to model railway bridge detrioration as well as the inspection and intervention processes to give a more rounded overview of railway bridge asset management. A Petri-Net (PN) modelling approach is used accompanied by historical data, used to calibrate the deterioration of the model. Industry policies are used to govern the inspection and intervention procedures. Various aspects of the model have been adjusted or enhanced by industry experts. The model is simulated to provide essential outputs for railway bridge portfolio mangers.
first_indexed 2025-11-14T19:37:00Z
format Conference or Workshop Item
id nottingham-39035
institution University of Nottingham Malaysia Campus
institution_category Local University
last_indexed 2025-11-14T19:37:00Z
publishDate 2016
recordtype eprints
repository_type Digital Repository
spelling nottingham-390352020-05-04T18:16:31Z https://eprints.nottingham.ac.uk/39035/ Railway bridge asset management using a Petri-Net modelling approach Yianni, Panayioti C. Rama, Dovile Neves, Luís C. Andrews, John D. Infrastructure assets can be difficult to manage due to the array of defects, the variety of environmental situations and the different operational scenarios. A number of studies have tried to model bridge asset management. The main focus of these models has been on the deterioration profiling as capturing this can be complex. The model presented tries to model railway bridge detrioration as well as the inspection and intervention processes to give a more rounded overview of railway bridge asset management. A Petri-Net (PN) modelling approach is used accompanied by historical data, used to calibrate the deterioration of the model. Industry policies are used to govern the inspection and intervention procedures. Various aspects of the model have been adjusted or enhanced by industry experts. The model is simulated to provide essential outputs for railway bridge portfolio mangers. 2016-10-19 Conference or Workshop Item PeerReviewed Yianni, Panayioti C., Rama, Dovile, Neves, Luís C. and Andrews, John D. (2016) Railway bridge asset management using a Petri-Net modelling approach. In: Fifth International Association for Life-Cycle Civil Engineering, 16-19 Oct 2016, Delft, the Netherlands.
spellingShingle Yianni, Panayioti C.
Rama, Dovile
Neves, Luís C.
Andrews, John D.
Railway bridge asset management using a Petri-Net modelling approach
title Railway bridge asset management using a Petri-Net modelling approach
title_full Railway bridge asset management using a Petri-Net modelling approach
title_fullStr Railway bridge asset management using a Petri-Net modelling approach
title_full_unstemmed Railway bridge asset management using a Petri-Net modelling approach
title_short Railway bridge asset management using a Petri-Net modelling approach
title_sort railway bridge asset management using a petri-net modelling approach
url https://eprints.nottingham.ac.uk/39035/