Cloud-based HPC simulation of railway infrastructure for high-speed trains
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- POC
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- Cloud-based HPC simulation of...
Alstom is investing heavily in developing new services for the railway industry and other transportation fields, including a diagnostic service that automatically schedules maintenance intervals. This service will ensure efficient maintenance and resource utilization.
Start date: 01/11/2015
Duration in months: 18
Problem Description
Alstom is investing huge effort in creating new services for the railway industry and other transportation fields. One of the main areas of investment currently is the development of a diagnostic service to automatically schedule maintenance intervals.
Goals
New services
Challenges
A diagnostic service would need to: understand how parts degrade and determine which would need to be serviced at each interval# automatically plan availability of spare parts or consumables# and quickly report to engineers what needs to be done in order to service the train and the network, as efficiently as possible.
Innovation results
The experiment aimed to predict the effects of failures in railway infrastructure components, using HPC. It studied dynamic interactions, dynamic load, and failure modes of turnout, focusing on high-speed train transit and turnout failure modes.
Business impact
Alstom and Hypertec have reported significant benefits from replacing field measurements with simulation-based diagnostic, resulting in a 50% decrease in time-to-results and cost savings of 50k€ to 70k€ per application. This led to an 87% increase in HPC-related revenue from 45k€ to 100€ in next 4 years.