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Digital Library University of West Bohemia
Other literature type . Conference object . 2020 . 2021 . Peer-reviewed
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Motorcycle accidents reconstruction and simulation - application of hybrid human body model

Authors: Bońkowski, Tomasz; Hynčík, Luděk; Špička, Jan; Vychytil, Jan;

Motorcycle accidents reconstruction and simulation - application of hybrid human body model

Abstract

Motorcycle accidents with opposite vehicles are among the most difficult to reconstruct due to complicated kinematics and interactions between multiple participants. The Multi-Body System approach commonly applied in software packages as PC-Crash and Virtual-Crash, allows for proper reconstruction of the crash kinematics but did not take into account the full deformation of the vehicles and occupants. On the other hand, the Finite Element Method approach, especially the explicit formulation, used in the field of crashworthiness gives a way to describe the proper material behavior of the participant components during dynamic events. For the analysis of the accident, the full FEM approach becomes too complicated and time-consuming (both for preparation of the simulation and for the simulation run). The authors would like to propose a hybrid approach which couples and FEM and MBS models in VPS numerical environment (Pam-crash solver). This paper presents an analysis of the accident between the maxi-scooter and the opposite vehicle. As the representation of the PTW driver, a Virthuman hybrid human body model was used. This model in opposition to full FEM models allows the fast calculation of the simulation. Besides the kinematics of the accident, prescribed injury criteria were assessed on the human body model.

Country
Czech Republic
Related Organizations
Keywords

motorcycle accidents, human body model, Vulnerable road users, virthuman

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
Transport Research