This content is not included in your SAE MOBILUS subscription, or you are not logged in.
Development of Subject-Specific Elderly Female Finite Element Models for Vehicle Safety
ISSN: 0148-7191, e-ISSN: 2688-3627
Published April 2, 2019 by SAE International in United States
This content contains downloadable datasetsAnnotation ability available
Previous study suggested that female, thin, obese, and older occupants had a higher risk of death and serious injury in motor vehicle crashes. Human body finite element models were a valuable tool in the study of injury biomechanics. The mesh deformation method based on radial basis function(RBF) was an attractive alternative for morphing baseline model to target models. Generally, when a complex model contained many elements and nodes, it was impossible to use all surface nodes as landmarks in RBF interpolation process, due to its prohibitive computational cost. To improve the efficiency, the current technique was to averagely select a set of nodes as landmarks from all surface nodes. In fact, the location and the number of selected landmarks had an important effect on the accuracy of mesh deformation. Hence, how to select important nodes as landmarks was a significant issue. In the paper, an efficient peak point-selection RBF mesh deformation method was used to select landmarks. The multiple peak points were selected to expand landmarks set, so as to improve the morphing quality compared with the traditional point-selection method. A human head model morphing example was used to verify the effectiveness and stability of the proposed method. Furthermore, the proposed mesh deformation methodology was also applied in a full subject-specific elderly female occupant modeling. The findings of this study demonstrated the feasibility of the proposed mesh deformation method to rapidly develop subject-specific human models in advancing occupant safety.
CitationDong, W., Zhan, Z., Yin, Y., Li, J. et al., "Development of Subject-Specific Elderly Female Finite Element Models for Vehicle Safety," SAE Technical Paper 2019-01-1224, 2019, https://doi.org/10.4271/2019-01-1224.
Data Sets - Support Documents
|[Unnamed Dataset 1]|
|[Unnamed Dataset 2]|
|[Unnamed Dataset 3]|
|[Unnamed Dataset 4]|
|[Unnamed Dataset 5]|
|[Unnamed Dataset 6]|
- Vincent, G.K. and Velkoff, V.A. ., “The Next Four Decades: The Older Population in the United States: 2010 to 2050,” U.S. Census Bureau, US Development of Commerce, Economics and Statistics Administration, US Census Bureau.
- Davis, J., Casteel, C., Hamann, C. et al. , “Risk of Motor Vehicle Crash for Older Adults After Receiving a Traffic Charge: A Case-Crossover Study,” Traffic Injury Prevention 19(5):506-512, 2018, doi:10.1080/15389588.2018.1453608.
- Keall, M.D. and Frith, W.J. , “Older Driver Crash Rates in Relation to Type and Quantity of Travel,” Traffic Injury Prevention 5(1):26-36, 2004, doi:10.1080/15389580490269146.
- Baker, T.K., Falb, T., Voas, R., and Lacey, J. , “Older Women Drivers: Fatal Crashes in Good Conditions,” Journal of Safety Research 34(4):399-405, 2003, doi:10.1016/j.jsr.2003.09.012.
- Evans, L. , “Female Compared with Male Fatality Risk from Similar Physical Impacts,” Journal of Trauma-Injury, Infection, and Critical Care 50(2):281-288, 2001, doi:10.1097/00005373-200102000-00014.
- Rice, T.M. and Zhu, T. , “Driver Obesity and the Risk of Fatal Injury During Traffic Collisions,” Emergency Medicine Journal 31(1):9-12, 2014, doi:10.1136/emermed-2012-201859.
- Zhu, S.K., Layde, P.M., Guse, C.E. et al. , “Obesity and Risk for Death due to Motor Vehicle Crashes,” American Journal of Public Health 96(4):734-739, 2006, doi:10.2105/AJPH.2004.058156.
- Boulanger, B.R., Milzman, D., Mitchell, K. et al. , “Body Habitus as a Predictor of Injury Pattern after Blunt Trauma,” Journal of Trauma-Injury Infection and Critical Care 33(2):228-232, 1992, doi:10.1097/00005373-199208000-00011.
- Kent, R., Lee, S.H., Darvish, K. et al. , “Structural and Material Changes in the Aging Thorax and Their Role in Crash Protection for Older Occupants,” Stapp Car Crash Journal 49:231-249, 2005.
- El-Jawahri, R.E., Laituri, T.R., Ruan, J.S. et al. , “Development and Validation of Age-Dependent FE Human Models of a Mid-Sized Male Thorax,” Stapp Car Crash Journal 54:407-430, 2010.
- Schoell, S.L., Weaver, A.A., Urban, J.E. et al. , “Development and Validation of an Older Occupant Finite Element Model of a Mid-Sized Male for Investigation of Age-Related Injury Risk,” Stapp Car Crash Journal 59:359, 2015.
- Vavalle, N.A., Scholell, S.L., Weaver, A.A. et al. , “Application of Radial Basis Function Methods in the Development of a 95th Percentile Male Seated FEA Model,” Stapp Car Crash Journal 58:361-384, 2014.
- Shi, X., Cao, L., Reed, M.P. et al. , “Effects of Obesity on Occupant Responses in Frontal Crashes: A Simulation Analysis Using Human Body Models,” Computer Methods in Biomechanics and Biomedical Engineering 18:1280-1292, 2015, doi:10.1080/10255842.2014.900544.
- Zhang, K., Cao, L., Fanta, A. et al. , “An Automated Method to Morph Finite Element Whole-Body Human Models with a Wide Range of Stature and Body Shape for Both Men and Women,” Journal of Biomechanics 60:253-260, 2017, doi:10.1016/j.jbiomech.2017.06.015.
- Rendall, T.C.S. and Allen, C.B. , “Efficient Mesh Motion Using Radial Basis Functions with Data Reduction Algorithms,” Journal of Computational Physics 228(17):6231-6249, 2009, doi:10.1016/j.jcp.2009.05.013.
- Wang, G., Mian, H.H., Ye, Z. et al. , “Improved Point Selection Method for Hybrid-Unstructured Mesh Deformation Using Radial Basis Functions,” AIAA Journal 53(4):1016-1025, doi:10.2514/1.J053304.
- Gillebaart, T., Blom, D.S., Van, Z. et al. , “Adaptive Radial Basis Function Mesh Deformation Using Data Reduction,” Journal of Computational Physics 321:997-1025, doi:10.1016/j.jcp.2016.05.036.
- Li, C.N., Wei, Q., Gong, C.L. et al. , “An Efficient Multiple Point Selection Study for Mesh Deformation Using Radial Basis Functions,” Aerospace Science and Technology 71:580-591, doi:10.1016/j.ast.2017.09.047.
- Li, J., Zhan, Z., Shu, Y. et al. , “Research on the FE Modeling and Impact Injury of Obese 10-YO Children Based on Mesh Morphing Methodology,” SAE Technical Paper 2018-01-0540 , 2018, doi:10.4271/2018-01-0540.
- Kalra, A. , “Development of an Elderly Female Torso Finite Element Model for Restraint System Research and Development Applications,” Wayne State University Dissertations, 2016.
- Kroell, C.K., Schneider, D.C., and Nahum, A.M. , “Impact Tolerance and Response of the Human Thorax II,” Stapp Car Crash Conference, 1971.
- Koh, S., Cavanaugh, J.M., Mason, M.J. et al. , “Shoulder Injury and Response Due to Lateral Glenohumeral Joint Impact: An Analysis of Combined Data,” Stapp Car Crash Journal 49:291-322, 2005.
- Epping, R. H. , “Prediction of Thoracic Injuries Using Measurable Experimental Parameters,” Proc. Proceeding of the Sixth International Technical Conference on the Enhanced Safety of Vehicles(ESV), 1976.
- Hardy, W.N., Schneider, L.M., and Rouhana, S.W. , “Abdominal Impact Response to Rigid-Bar, Seatbelt, and Airbag Loading,” Stapp Car Crash Journal 45:1-32, 2001.
- Vavalle, N., Davis, M., Stitzel, J., and Gayzik, F.S. , “Quantitative Validation of a Human Body Finite Element Model Using Rigid Body Impacts,” Annals of Biomedical Engineering 43(9):2163-2174, 2015.
- Fryar, C.D., Gu, Q., Ogden, C.L. et al. , “Anthropometric Reference Data for Children and Adults: United States, 2011-2014,” Vital Health Stat 2016(39):1-46, 2016.
- Reed, M.P. and Ebert, S.M. , “Elderly Occupants: Posture, Body Shape, and Belt Fit,” Report Number: UMTRI-2013-26. University of Michigan Transportation Research Institute, Ann Arbor, MI, 2013.
- Shi, X., Cao, L., and Reed, M.P. , “A Statistical Human Rib Cage Geometry Model Accounting for Variations By Age, Sex, Stature and Body Mass Index,” Journal of Biomechanics 47(10):2277-2285, 2014.