Location
Cork Institute of Technology, Cork, Ireland
Event Website
https://event.ceri2020.exordo.com/
Start Date
27-8-2020 11:45 AM
End Date
27-8-2020 1:00 PM
Description
The issue of maintenance of ageing bridges with insufficient budget allocations is well documented throughout Europe and beyond. To combat the issue of out of date assessment standards, insufficient structural information and deteriorating bridges, probabilistic assessment bridge techniques have evolved significantly over the past number of years. Previously, probabilistic analysis methods have been applied at the element level, where the highest element failure probability is assumed to govern for the structure. This fails to account for inherent redundancy which is often present in bridge structures. For example, the development of a plastic hinge due to elastic failure in a steel girder may not necessarily cause collapse of a structure. For this reason, system analysis approaches have been proposed which consider the actual probability of various collapse mechanisms. However, most of these studies have been based on purely theoretical models which fail to consider the complex 3D structural response of bridge structures, and are not applicable to structures subject to moving loads. This paper demonstrates a probabilistic system analysis approach for two case study railway bridges, one being based on codified live loading and another based on measured Weigh-In-Motion (WIM) data.
Recommended Citation
Connolly, Lorcan; Duranovic, Marko; and Donnelly, Róisín, "Probabilistic System Analysis – Practical Examples for Railway Bridges" (2020). Civil Engineering Research in Ireland 2020. 3.
https://sword.cit.ie/ceri/2020/2/3
Included in
Civil Engineering Commons, Construction Engineering and Management Commons, Environmental Engineering Commons, Geotechnical Engineering Commons, Hydraulic Engineering Commons, Structural Engineering Commons, Transportation Engineering Commons
Probabilistic System Analysis – Practical Examples for Railway Bridges
Cork Institute of Technology, Cork, Ireland
The issue of maintenance of ageing bridges with insufficient budget allocations is well documented throughout Europe and beyond. To combat the issue of out of date assessment standards, insufficient structural information and deteriorating bridges, probabilistic assessment bridge techniques have evolved significantly over the past number of years. Previously, probabilistic analysis methods have been applied at the element level, where the highest element failure probability is assumed to govern for the structure. This fails to account for inherent redundancy which is often present in bridge structures. For example, the development of a plastic hinge due to elastic failure in a steel girder may not necessarily cause collapse of a structure. For this reason, system analysis approaches have been proposed which consider the actual probability of various collapse mechanisms. However, most of these studies have been based on purely theoretical models which fail to consider the complex 3D structural response of bridge structures, and are not applicable to structures subject to moving loads. This paper demonstrates a probabilistic system analysis approach for two case study railway bridges, one being based on codified live loading and another based on measured Weigh-In-Motion (WIM) data.
https://sword.cit.ie/ceri/2020/2/3
