A public-private integrated framework for in-silico virtual testing: the open-source PIPER project to personalize and position HBMs

Abstract : As shown by the main topic of the VPH2016 conference, Translating VPH to the clinic, is now a critical objective of the VPH research community. At the same time EuroNCAP, the European consumers' association for vehicle safety rating, very recently introduced the use of Human Body Models (HBM) simulations to define some of the test conditions in their consumer test protocols for pedestrian impact scenarios. Although they may at first seem somewhat unrelated, such different research areas as the clinical and automotive crashworthiness research benefit from the same advances in numerical methods and computational capacity for imaging and modelling. Further, both research communities may share very similar challenges, not only in their approach to the modelling of the biomechanical behaviour of the human body, but also in their need to transfer this research into tools that will effectively prove their societal benefits in a safety and regulation constrained socio-economic environment. With relatively similar aims and scopes, expectations in the field of in-silico clinical trials, or virtual testing, are high in both industries. The PIPER project is a 3.5 year EC funded research project that aims to deliver tools that will allow a user to personalise and position any Finite Element (FE) HBM, in a virtual vehicle environment, for virtual testing. The challenge is scientific, as state-of-the art methods had to be designed and implemented to e.g. develop Statistical Body Shape Models (SSM) from clinical imaging data, or to ensure that deformed FE models would still meet solvers' quality metrics for simulations. The promotion of such tools was identified as critical and strong choices (open-source, meta-tools - independent from the FE model/code, contribution of the end-users to all stages of the project) were made to ensure a successful public-private research partnership. This abstract presents some of these key aspects, with an emphasis on their possible usefulness and transfer to the VPH community.
Keywords : Virtual testing
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Submitted on : Thursday, August 16, 2018 - 4:10:21 PM
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Bertrand Frechede, Erwan Jolivet, Christophe Lecomte, Thomas Lemaire, Philippe Petit, et al.. A public-private integrated framework for in-silico virtual testing: the open-source PIPER project to personalize and position HBMs. VPH 2016 - 4th Virtual Physiological Human Conference, Sep 2016, Amsterdam, Netherlands. pp.1-4. ⟨hal-01857559⟩

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