TY  - CONF
A1  - Wang, Bingyu
A1  - Yang, Jikuang
A1  - Otte, Dietmar
T1  - A study of long bone fractures via reconstruction of pedestrian accident using Multi-body system and Lower Extremity FE model
N2  - This study aimed at prediction of long bone fractures and assessment of lower extremity injury mechanisms in real world passenger car to pedestrian collision. For this purpose, two pedestrian accident cases with detail recorded lower limb injuries were reconstructed via combining MBS (Multi-body system) and FE (Finite element) methods. The code of PC Crash was used to determine the boundary conditions before collision, and then MBS models were used to reproduce the pedestrian kinematics and injuries during crash. Furthermore, a validated lower limb FE model was chosen to conduct reconstruction of injuries and prediction of long bone fracture via physical parameters of von Mises stress and bending moment. The injury outcomes from simulations were compared with hospital recorded injury data and the same long bone fracture patterns and positions can be observed. Moreover, the calculated long bone fracture tolerance corresponded to the outcome from cadaver tests. The result shows that FE model is capable to reproduce the dynamic injury process and is an effective tool to predict the risk of long bone fractures.
KW  - Bein
KW  - Deutschland
KW  - Fußgänger
KW  - Knochenbruch
KW  - Konferenz
KW  - Methode der finite Elemente
KW  - Numerisches Modell
KW  - Pkw
KW  - Simulation
KW  - Unfall
KW  - Unfallrekonstruktion
KW  - Verletzung
KW  - Accident
KW  - Accident reconstruction
KW  - Car
KW  - Conference
KW  - Digital model
KW  - Finite element method
KW  - Fracture (bone)
KW  - Germany
KW  - Injury
KW  - Leg (human)
KW  - Pedestrian
KW  - Simulation
Y1  - 2015
UR  - https://bast.opus.hbz-nrw.de/frontdoor/index/index/docId/1418
UR  - https://nbn-resolving.org/urn:nbn:de:hbz:opus-bast-14181
N1  - Außerdem beteiligt: Chalmers University of Technology, Department of Applied Mechanics; Medizinische Hochschule Hannover, Verkehrsunfallforschung
ER  -