PIPER – De nouveaux outils pour améliorer le positionnement et personnalisation des modèles humains numériques utilisés pour tester la sécurité des voitures


Fiche  technique du Projet

• Programme de financement: 7e PCRD – programme cooperation – Transports - 2012
• Coordinateur: Université Claude Bernard Lyon 1, Dr. Philippe BEILLAS
• Partenaires :
o Groupement d’Intérêt Economique de Recherches et Etudes PSA-RENAULT – GIE RE (FR)
o Kungliga Tekniska Hoegskolan - KTH (SE)
o Technische Universität Berlin – TUB (DE)
o Indian Institute of technology of Delhi (IN)
o CEESAR - Centre Européen d’Etudes de Sécurité et d’Analyse des Risques (FR)
o Institut de Recherche en Informatique et en Automatique - INRIA (FR)
o Partnership for Dummy Technology and Biomechanics - PDB (DE)
o University of Southampton - SOTON (UK)
o Lyon Ingénierie Projets - LIP (FR)

• Budget Total: € 3.874.426
• Subvention : € 2.949.927
• Durée : 2013-2017

Context / Contexte

In passive safety, human variability is currently difficult to account for using crash test dummies and regulatory procedures. However, vulnerable populations such as children and elderly need to be considered in the design of safety systems in order to further reduce the fatalities by protecting all users and not only the so called average users. Advanced Human Body Models for injury prediction based on the Finite Element (FE) methods have the potential to represent the human variability. Because FE models include descriptions of anatomical components with their material properties, they are potentially capable of predicting complex deformations patterns when subjected to loading, including strain and stresses in tissues that can be correlated with injury risks to specific structures. However, despite these improvements and their potential for injury prediction, these advanced models are underutilized. While being relatively common in biomechanical research, applications in industrial R&D are more limited and they are absent from regulatory procedures and consumer evaluations. Multiple reasons could be cited for this relative lack of use:
- The models are difficult to use in real environments
- The human variability is insufficiently taken into account
- Advanced FE models are also difficult to use in the pre-crash phase of the event due to computing cost issues and difficulties to integrate the effects of active musculature
- The models are not standardized, and various efforts have led to several incompatible model families
Consequently, rather than new modelsfor injury prediction – which would lead to further fragmentation of the research effort – it is believed that advanced positioning and personalization tools are critically needed to enable new applications for the advanced FE models in both industrial and research fields and solve some of the shortcomings mentioned previously. A particular attention should also be given to the issue of fragmentation and new tools should be largely model-independent.

Objectives / objectifs

The main objective of the proposed project is the development of advanced positioning and personalization methods and associated tools. More specifically, the objectives are:
- To specify the requirements for positioning and personalizing methods based on selected relevant automotive applications and feedback from possible users.
- To develop a framework for the positioning and the personalization that is mainly deformation based. The approach will take into account explicitly anatomical/biomechanical functions in the process, as well as numerical quality metrics. It will be modular to tackle problems that differ in regions (e.g. limbs, ligament) and to allow the comparisons of approaches and fall-back solutions.
- To develop predictors for the posture and shape that can be applied to external and internal structures. The aim is to be able to target specific populations based on limited knowledge, by choosing the most probable deformation or positioning target in the statistical sense.
- To combine the posture and shape predictors and deformation methods into an easy to use tool that will allow industrial and academic users to position and personalize models based on limited knowledge.
- To evaluate the performance of the tools and methods in these applications. This will help defining best practices for personalizing and positioning models for future industrial and research use. The applications will also provide preliminary biomechanical results (knowledge).

Impact / results - Impact / résultats

The expected technical impact will enable the design of better protection systems for populations that are vulnerable because of intrinsic characteristics (e.g. age) or situations (e.g. pedestrian) but are difficult to take into account early in the design process with current dummy approaches. It will also facilitate further research into subject/population specific restraint system and integrated safety approaches combining active and passive safety by enabling to better understand the consequences of the pre-crash phase. Overall this can lead to reduction of fatalities through innovation and technology, by designing safer vehicles.
The methods and tools developed during the project will facilitate the industrial and the research use of advanced finite element model of the human body for injury prediction. This will expand the ability to use these models for populations that are currently not well described (e.g. children, elderly, obese, etc.), situations where the posture is not standard (e.g. misuse of restraint systems, pre-crash, two-wheel).
The project also aims to differentiate itself from past IP/exploitation approaches where proprietary models or tools have led to duplication of the research efforts, incompatible or competing versions, and in the end a relative lack of performance, improvement, updates, use and clear business model. The project will use an Open Source approach for the tools that are developed, leading to a common environment that can be widely shared and improved. The license will prevent stakeholders to withdraw access to the tool or be in a dominant position making unacceptable for others to contribute.

 

Rôle de LIP

LIP a accompagné le porteur de projet dans toute la phase de montage : construction du partenariat, coordination du montage administratif et financier du projet, conseil à la rédaction, sur les aspects liés au modèle d’exploitation des résultats proposition d’un modèle de gouvernance, etc. LIP est également partenaire du projet, en charge du management administratif et financier du projet, et de la conclusion de l’accord de consortium.