Abstract (EN):
A probabilistic methodology for the safety assessment of short span railway bridges for high-speed traffic is presented. The purpose is to create a simple, efficient and automatic procedure that allows identifying the critical train speeds over the bridge and assessing the safety of the train-bridge system. The methodology combines simulation techniques with the extreme value theory in order to minimize the required computational time. Stochastic simulation is employed as it allows reflecting the real variability of the parameters that characterize the dynamic response of the train-bridge system. The safety of a short span filler beam railway bridge crossed by a TGV double train is assessed as case study. The variability of the bridge, the track and the train was accounted for, as well as the existence of track irregularities. The proposed probabilistic methodology proved to be efficient as it allowed identifying the critical train speeds with a reduced computational cost.
Language:
English
Type (Professor's evaluation):
Scientific
No. of pages:
8