Vehicle restraint system crash test modelling – Application to steel-wood structures

In France, one third of the people dying on the roads are killed after impacting against a hazard. In 90% of the reported cases, these accidents result from loss of control. Vehicle Restraint Systems (VRS) are specially designed to restrain an errant vehicle and to limit impact severity. Before being installed on the roadsides, these devices have to be crash-tested according to standards in order to evaluate their safety and deflexion performances. Tolerances exist on impact parameters (vehicle, vehicle mass, impact speed, impact angle, impact point …) and material’s mechanical characteristic uncertainties have an effect towards device performances and have to be taken into account during numerical simulations. Steel-wood structures present an additional numerical challenge due to wood heterogeneity and its sensibility to environment variables such as temperature and moisture content. In order to assess the effect of this variability toward safety performances, three point bending dynamic experiments on structural samples are performed and modelled. Finally, a complete model of a vehicle restraint system is built and validated according to real crash test results thanks to a parametric method. This method takes into account the variability of the parameters associated to the failure modes of the structure. Once validated the model is used to assess the effect of wood mechanical properties modifications due to environment variable variations.

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Field Value
Source https://theses.hal.science/tel-00990871
Author Goubel, Clément
Maintainer CCSD
Last Updated May 5, 2026, 11:18 (UTC)
Created May 5, 2026, 11:18 (UTC)
Identifier tel-00990871
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor Laboratoire de Biomécanique et Mécanique des Chocs (LBMC UMR T9406) ; Université Claude Bernard Lyon 1 (UCBL) ; Université de Lyon-Université de Lyon-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)
creator Goubel, Clément
date 2012-12-13T00:00:00
harvest_object_id 78baf529-4085-42c4-b1ff-b53226d92c3b
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2025-02-20T00:00:00
set_spec type:THESE