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URL: http://bast.opus.hbz-nrw.de/volltexte/2015/1474/

A study of long bone fractures via reconstruction of pedestrian accident using Multi-body system and Lower Extremity FE model

Wang, Bingyu ; Yang, Jikuang ; Otte, Dietmar

Originalveröffentlichung: (2015) 6th International Conference on ESAR 2014
Dokument 1.pdf (1.144 KB)

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Freie Schlagwörter (Deutsch): Bein , Deutschland , Fußgänger , Knochenbruch , Konferenz , Methode der finite Elemente , Numerisches Modell , Pkw , Simulation , Unfall , Unfallrekonstruktion , Verletzung
Freie Schlagwörter (Englisch): Accident , Accident reconstruction , Car , Conference , Digital model , Finite element method , Fracture (bone) , Germany , Injury , Leg (human) , Pedestrian , Simulation
Collection 1: BASt-Beiträge / Tagungen / International Conference on ESAR / 6th International Conference on ESAR
Collection 2: BASt-Beiträge / ITRD Sachgebiete / 84 Personenschäden
Collection 3: BASt-Beiträge / ITRD Sachgebiete / 80 Unfallforschung
Institut: Sonstige
DDC-Sachgruppe: Ingenieurwissenschaften
Sonstige beteiligte Institution: Research Centre of Vehicle and Traffic Safety (Changsa)
Dokumentart: InProceedings (Aufsatz / Paper einer Konferenz etc.)
Sprache: Englisch
Erstellungsjahr: 2015
Publikationsdatum: 12.08.2015
Bemerkung: Außerdem beteiligt: Chalmers University of Technology, Department of Applied Mechanics; Medizinische Hochschule Hannover, Verkehrsunfallforschung
Kurzfassung auf Englisch: 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.