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

  • 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.

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Metadaten
Verfasserangaben:Bingyu Wang, Jikuang Yang, Dietmar Otte
URN:urn:nbn:de:hbz:opus-bast-14181
Dokumentart:Konferenzveröffentlichung
Sprache:Englisch
Datum der Veröffentlichung (online):12.08.2015
Jahr der Erstveröffentlichung:2015
Beteiligte Körperschaft:Research Centre of Vehicle and Traffic Safety (Changsa)
Datum der Freischaltung:12.08.2015
Freies Schlagwort / Tag:Bein; Deutschland; Fußgänger; Knochenbruch; Konferenz; Methode der finite Elemente; Numerisches Modell; Pkw; Simulation; Unfall; Unfallrekonstruktion; Verletzung
Accident; Accident reconstruction; Car; Conference; Digital model; Finite element method; Fracture (bone); Germany; Injury; Leg (human); Pedestrian; Simulation
Bemerkung:
Außerdem beteiligt: Chalmers University of Technology, Department of Applied Mechanics; Medizinische Hochschule Hannover, Verkehrsunfallforschung
Quelle:6th International Conference on ESAR 2014
Institute:Sonstige / Sonstige
DDC-Klassifikation:6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften / 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten
collections:BASt-Beiträge / ITRD Sachgebiete / 80 Unfallforschung
BASt-Beiträge / ITRD Sachgebiete / 84 Personenschäden
BASt-Beiträge / Tagungen / International Conference on ESAR / 6th International Conference on ESAR
Lizenz (Deutsch):License LogoBASt / Link zum Urhebergesetz

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