On the simulation of electric scooter crash-test with the hybrid human body model

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23640%2F22%3A43967716" target="_blank" >RIV/49777513:23640/22:43967716 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/9974656" target="_blank" >https://ieeexplore.ieee.org/document/9974656</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICETA57911.2022.9974656" target="_blank" >10.1109/ICETA57911.2022.9974656</a>

Jazyk výsledku

angličtina

Název v původním jazyce

On the simulation of electric scooter crash-test with the hybrid human body model

Popis výsledku v původním jazyce

This paper introduces the reader to the problem of traffic accident reconstruction from a technical perspective solution and simulation tools. The observed accident is not a real accident, but an experimental crash-test of a BMW E87, 118i and an electric scooter. The rider of the electric scooter was in this experiment was replaced by a dummy Primus, representing the average EuroNCAP male (175 cm, 78 kg). The dummy was placed on top of the electric scooter and positioned in front of the vehicle so that it was knocked from the left, approximately in the middle of the vehicle. The vehicle was accelerated to a speed of approximately 50 km/h and at this speed struck the rider of the electric scooter, who was gradually struck on the bonnet and windscreen of the vehicle, the scooter being thrown forward. The output data from the experiment and the input data for the reconstruction (simulation) are the initial and end positions of the dummy, scooter and vehicle, vehicle deformation and damage/injury to the dummy. The simulation tool used is finite element method software Virtual Performance Solution, in which the vehicle and scooter model was created and a hybrid human body model: Virthuman was used. The vehicle was modelled as partly rigid and partly deformable (deformable in the frontal part, where contact with the driver appears) and rigid in the rest, in order to speed up the computation time. The scooter was modelled as rigid in its entirety (to speed up the calculation and irrelevance of the deformation data - they do not affect the rider dynamics and these data are not available). The Virthuman model is a numerical human model, which represents an individual of a given height, weight, age and sex. This model is suitable specifically for simulations of dynamic phenomena with potential impact.. The main idea of this study was to develop a kind of methodology for accident reconstruction of scooters and electric scooters and to identify the relevant data needed for the simulation tools. The principle is to vary unknown input data (rider position relative to the vehicle, vehicle speed, etc.), and monitoring the simulation results. The aim is to keep the known input data and variations of those of the unknown, the simulation results as close as possible to the results of the experiment (vehicle damage, injury and final position of the rider, etc.). In this way, it is possible to determine the possible initial state and progress of the accident and thus obtain information (data) that could not be obtained at the accident scene and which may help to clarify or exclude a given collision scenario, or could be used for development of future safety systems.

Název v anglickém jazyce

On the simulation of electric scooter crash-test with the hybrid human body model

Popis výsledku anglicky

This paper introduces the reader to the problem of traffic accident reconstruction from a technical perspective solution and simulation tools. The observed accident is not a real accident, but an experimental crash-test of a BMW E87, 118i and an electric scooter. The rider of the electric scooter was in this experiment was replaced by a dummy Primus, representing the average EuroNCAP male (175 cm, 78 kg). The dummy was placed on top of the electric scooter and positioned in front of the vehicle so that it was knocked from the left, approximately in the middle of the vehicle. The vehicle was accelerated to a speed of approximately 50 km/h and at this speed struck the rider of the electric scooter, who was gradually struck on the bonnet and windscreen of the vehicle, the scooter being thrown forward. The output data from the experiment and the input data for the reconstruction (simulation) are the initial and end positions of the dummy, scooter and vehicle, vehicle deformation and damage/injury to the dummy. The simulation tool used is finite element method software Virtual Performance Solution, in which the vehicle and scooter model was created and a hybrid human body model: Virthuman was used. The vehicle was modelled as partly rigid and partly deformable (deformable in the frontal part, where contact with the driver appears) and rigid in the rest, in order to speed up the computation time. The scooter was modelled as rigid in its entirety (to speed up the calculation and irrelevance of the deformation data - they do not affect the rider dynamics and these data are not available). The Virthuman model is a numerical human model, which represents an individual of a given height, weight, age and sex. This model is suitable specifically for simulations of dynamic phenomena with potential impact.. The main idea of this study was to develop a kind of methodology for accident reconstruction of scooters and electric scooters and to identify the relevant data needed for the simulation tools. The principle is to vary unknown input data (rider position relative to the vehicle, vehicle speed, etc.), and monitoring the simulation results. The aim is to keep the known input data and variations of those of the unknown, the simulation results as close as possible to the results of the experiment (vehicle damage, injury and final position of the rider, etc.). In this way, it is possible to determine the possible initial state and progress of the accident and thus obtain information (data) that could not be obtained at the accident scene and which may help to clarify or exclude a given collision scenario, or could be used for development of future safety systems.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20301 - Mechanical engineering

Projekt

<a href="/cs/project/EF17_048%2F0007280" target="_blank" >EF17_048/0007280: Aplikace moderních technologií v medicíně a průmyslu</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

20th Anniversary of IEEE International Conference on Emerging eLearning Technologies and Applications, ICETA 2022

ISBN

979-8-3503-2033-6

ISSN

—

e-ISSN

—

Počet stran výsledku

7

Strana od-do

59-65

Název nakladatele

Technical University of Košice

Místo vydání

Košice

Místo konání akce

Stary Smokovec

Datum konání akce

20. 10. 2022

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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