A Computationally Efficient Finite Element Pedestrian Model for Head Safety: Development and Validation

Head injuries are often fatal or of sufficient severity to pedestrians in vehicle crashes. Finite element (FE) simulation provides an effective approach to understand pedestrian head injury mechanisms in vehicle crashes. However, studies of pedestrian head safety considering full human body response and a broad range of impact scenarios are still scarce due to the long computing time of the current FE human body models in expensive simulations. Therefore, the purpose of this study is to develop and validate a computationally efficient FE pedestrian model for future studies of pedestrian head safety. Firstly, a FE pedestrian model with a relatively small number of elements (432,694 elements) was developed in the current study. This pedestrian model was then validated at both segment and full body levels against cadaver test data. The simulation results suggest that the responses of the knee, pelvis, thorax, and shoulder in the pedestrian model are generally within the boundaries of cadaver test corridors under lateral impact loading. The upper body (head, T1, and T8) trajectories show good agreements with the cadaver data in vehicle-to-pedestrian impact configuration. Overall, the FE pedestrian model developed in the current study could be useful as a valuable tool for a pedestrian head safety study.

[1]  Bharath Koya,et al.  A Finite Element Model of a Midsize Male for Simulating Pedestrian Accidents. , 2018, Journal of biomechanical engineering.

[2]  Rikard Fredriksson,et al.  Development and validation of pedestrian sedan bucks using finite-element simulations: a numerical investigation of the influence of vehicle automatic braking on the kinematics of the pedestrian involved in vehicle collisions , 2010 .

[3]  Tsuyoshi Murata,et al.  {m , 1934, ACML.

[4]  Jikuang Yang,et al.  A Study of Fatality Risk and Head Dynamic Response of Cyclist and Pedestrian Based on Passenger Car Accident Data Analysis and Simulations , 2015, Traffic injury prevention.

[5]  Jikuang Yang,et al.  Safer passenger car front shapes for pedestrians: A computational approach to reduce overall pedestrian injury risk in realistic impact scenarios. , 2017, Accident; analysis and prevention.

[6]  Aaas News,et al.  Book Reviews , 1893, Buffalo Medical and Surgical Journal.

[7]  Caroline Deck,et al.  Head injury prediction capability of the HIC, HIP, SIMon and ULP criteria. , 2008, Accident; analysis and prevention.

[8]  Check Y. Kam,et al.  Kinematic Corridors for PMHS Tested in Full-Scale Pedestrian Impact Tests , 2005 .

[9]  Taewung Kim,et al.  Evaluation of biofidelity of THUMS pedestrian model under a whole-body impact conditions with a generic sedan buck , 2017, Traffic injury prevention.

[10]  Philipp Wernicke,et al.  Objective rating of signals using test and simulation responses , 2009 .

[11]  Fang Wang,et al.  Characteristics of pedestrian head injuries observed from real world collision data. , 2019, Accident; analysis and prevention.

[12]  Ruth A. Isenberg,et al.  FINAL REPORT - THE PEDESTRIAN CRASH DATA STUDY , 2001 .

[13]  Pierre Jean Arnoux,et al.  Investigation of the injury threshold of knee ligaments by the parametric study of car–pedestrian impact conditions , 2014 .

[14]  Karol Miller,et al.  Prediction of brain deformations and risk of traumatic brain injury due to closed-head impact: quantitative analysis of the effects of boundary conditions and brain tissue constitutive model , 2018, Biomechanics and Modeling in Mechanobiology.

[15]  Fang Wang,et al.  Have pedestrian subsystem tests improved passenger car front shape? , 2018, Accident; analysis and prevention.

[16]  Junji Hasegawa,et al.  DEVELOPMENT OF A FINITE ELEMENT MODEL OF THE TOTAL HUMAN MODEL FOR SAFETY (THUMS) AND APPLICATION TO CAR-PEDESTRIAN IMPACTS , 2001 .

[17]  F. Wang,et al.  A Study on Influence of Minivan Front-End Design and Impact Velocity on Pedestrian Thorax Kinematics and Injury Risk , 2018, Applied bionics and biomechanics.

[18]  D. Otte,et al.  Investigation of Head Injuries by Reconstructions of Real-World Vehicle-Versus-Adult-Pedestrian Accidents , 2008 .

[19]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[20]  E. Tanaka,et al.  Finite Element Analysis of Knee Injury Risks in Car-to-Pedestrian Impacts , 2003, Traffic injury prevention.

[21]  David C. Viano,et al.  Biomechanical responses and injuries in blunt lateral impact , 1989 .

[22]  F. Wang,et al.  Finite Element Analysis of Thorax Responses Under Quasi-Static and Dynamic Loading , 2013 .

[23]  J. Davidsson,et al.  Head boundary conditions in pedestrian crashes with passenger cars: six-degrees-of-freedom post-mortem human subject responses , 2015 .

[24]  King H Yang,et al.  A field data analysis of risk factors affecting the injury risks in vehicle-to-pedestrian crashes. , 2008, Annals of advances in automotive medicine. Association for the Advancement of Automotive Medicine. Annual Scientific Conference.

[25]  Dipan Bose,et al.  Injury tolerance and moment response of the knee joint to combined valgus bending and shear loading. , 2008, Journal of biomechanical engineering.

[26]  Koji Mizuno,et al.  Finite element analysis of kinematic behaviour and injuries to pedestrians in vehicle collisions , 2012 .

[27]  Dietmar Otte,et al.  A study of pedestrian and bicyclist exposure to head injury in passenger car collisions based on accident data and simulations , 2012 .

[28]  Svein Kleiven,et al.  The Influence of Neck Muscle Tonus and Posture on Brain Tissue Strain in Pedestrian Head Impacts. , 2014, Stapp car crash journal.

[29]  Yong Peng,et al.  Development of head injury risk functions based on real-world accident reconstruction , 2014 .

[30]  D. Otte,et al.  A study on correlation of pedestrian head injuries with physical parameters using in-depth traffic accident data and mathematical models. , 2018, Accident; analysis and prevention.

[31]  Fengchong Lan,et al.  Development and validation of a human biomechanical model for rib fracture and thorax injuries in blunt impact , 2015, Computer methods in biomechanics and biomedical engineering.

[32]  J. Stitzel,et al.  Injury prediction in a side impact crash using human body model simulation. , 2014, Accident; analysis and prevention.

[33]  Stephen W Rouhana,et al.  Shoulder injury and response due to lateral glenohumeral joint impact: an analysis of combined data. , 2005, Stapp car crash journal.

[34]  D P Wood,et al.  Pedestrian head translation, rotation and impact velocity: the influence of vehicle speed, pedestrian speed and pedestrian gait. , 2012, Accident; analysis and prevention.

[35]  Xiaojiang Lv,et al.  Numerical reconstruction of injuries in a real world minivan-to-pedestrian collision. , 2019, Acta of bioengineering and biomechanics.

[36]  Koji Mizuno,et al.  Comparative analysis of vehicle-bicyclist and vehicle-pedestrian accidents in Japan. , 2003, Accident; analysis and prevention.

[37]  King H. Yang,et al.  Development of numerical models for injury biomechanics research: a review of 50 years of publications in the Stapp Car Crash Conference. , 2006, Stapp car crash journal.

[38]  Yasuhiro Matsui,et al.  Shearing and bending effects at the knee joint at high speed lateral loading , 1997 .

[39]  Yukou Takahashi,et al.  Development of a Finite Element Model for Flex-PLI , 2005 .

[40]  W. Marsden I and J , 2012 .