During the MBS Tech Days 2021, Justine Larivière from the FEMTO-ST Institute held a presentation called "Robust Tolerancing of Railway Vehicles with Simpack Multi-Body Models to Ensure Dynamic Performance and Standard Compliance".
In her presentation, Justine talks about the significant challenge for railway bogie design, having to take into account uncertainties in operating conditions, suspension component manufacturing processes, and wear. For sure, designers are faced with trade-offs between competing candidate solutions with antagonistic objectives and multiple design constraints. Virtual prototyping has become essential decision support and certification tool for railway applications by leveraging multi-body models simulating nonlinear vehicle dynamics. However, this approach relies heavily on a large number of simulation runs, and strategies are required to reduce the computational burden. A robust tolerancing methodology specifically adapted to the multimodal design spaces found in bogie design and providing greater visibility for the trade-offs encountered in competing candidate designs is presented. The proposed robust tolerancing methodology is illustrated on a realworld railway application: an Alstom locomotive modeled with Simpack.
Justine LARIVIÈRE works as a Post-doctoral Engineer at the Department of Applied Mechanics in FEMTO-ST Institute in Besançon, France. In 2020, Justine graduated from the University of Franche-Comte with a doctorate in Mechanical Engineering funded by ALSTOM. Her main research field focuses on robust design with virtual prototyping tools, including sensitivity analysis, surrogate modeling, and design under uncertainties.
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