Discover the basics of the implementation of supercomputing in the analysis of railway trains and tracks, including capabilities, challenges and lessons learned in this case study-driven presentation.
Computer simulations have been well accepted in railway engineering and research. In recent years, research teams have seen an increasing demand for advanced simulation models and simulation sets that require a huge number of simulation cases. Both aspects require innovative computing strategies and significant computing powers, posing challenges to conventional simulation methods using Personal Computers (PCs).
This presentation introduces the basics of supercomputing and a review of supercomputing in railway train and track analysis. Several supercomputing cases, successfully conducted by research teams, will be presented to show the powerful capability and versatility of supercomputing in railway analyses. These cases involve parallel co-simulations, optimisations, model advancements and batch simulations for rolling stock design, train dynamics, track dynamics, train-track interactions and standards development.
Key takeaways for attendees:
- Supercomputing uses many computer cores to process many tasks concurrently to save computing time
- Supercomputing can be enabled by many techniques such as MPI and OpenMP on supercomputers or clusters
- Supercomputing improves conventional railway analyses such as train-track interaction simulations
- Supercomputing unlocks the next level of railway analyses such as three-dimensional full train simulations
Dr Qing Wu | Research Fellow – Centre for Railway Engineering, Central Queensland University (CQU) Rockhampton
Dr Qing Wu’s research expertise and interests include track dynamics, train dynamics, supercomputing and multi-objective optimisations. Dr Wu has authored more than 100 academic publications including more than 60 journal articles and has led and conducted several railway research and consultancy projects ranging from track dynamics to vehicle and train dynamics. His education background includes a Bachelor of Engineering in 2010 about heavy haul wagon brake designs and a Master of Engineering in 2012 about heavy haul locomotive derailments and a PhD in 2016 about heavy haul train dynamics and draft gear designs. Before joining CQU in 2013, Dr Wu worked for one year in State Key Laboratory of Traction Power in China. He has been studying and researching in the railway industry for 14 years, since 2006.
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