Literature DB >> 27871104

Development, Evaluation, and Sensitivity Analysis of Parametric Finite Element Whole-Body Human Models in Side Impacts.

Eunjoo Hwang1, Jingwen Hu1, Cong Chen1, Katelyn F Klein1, Carl S Miller1, Matthew P Reed1, Jonathan D Rupp2, Jason J Hallman3.   

Abstract

Occupant stature and body shape may have significant effects on injury risks in motor vehicle crashes, but the current finite element (FE) human body models (HBMs) only represent occupants with a few sizes and shapes. Our recent studies have demonstrated that, by using a mesh morphing method, parametric FE HBMs can be rapidly developed for representing a diverse population. However, the biofidelity of those models across a wide range of human attributes has not been established. Therefore, the objectives of this study are 1) to evaluate the accuracy of HBMs considering subject-specific geometry information, and 2) to apply the parametric HBMs in a sensitivity analysis for identifying the specific parameters affecting body responses in side impact conditions. Four side-impact tests with two male post-mortem human subjects (PMHSs) were selected to evaluate the accuracy of the geometry and impact responses of the morphed HBMs. For each PMHS test, three HBMs were simulated to compare with the test results: the original Total Human Model for Safety (THUMS) v4.01 (O-THUMS), a parametric THUMS (P-THUMS), and a subject-specific THUMS (S-THUMS). The P-THUMS geometry was predicted from only age, sex, stature, and BMI using our statistical geometry models of skeleton and body shape, while the S-THUMS geometry was based on each PMHS's CT data. The simulation results showed a preliminary trend that the correlations between the PTHUMS- predicted impact responses and the four PMHS tests (mean-CORA: 0.84, 0.78, 0.69, 0.70) were better than those between the O-THUMS and the normalized PMHS responses (mean-CORA: 0.74, 0.72, 0.55, 0.63), while they are similar to the correlations between S-THUMS and the PMHS tests (mean-CORA: 0.85, 0.85, 0.67, 0.72). The sensitivity analysis using the PTHUMS showed that, in side impact conditions, the HBM skeleton and body shape geometries as well as the body posture were more important in modeling the occupant impact responses than the bone and soft tissue material properties and the padding stiffness with the given parameter ranges. More investigations are needed to further support these findings.

Entities:  

Mesh:

Year:  2016        PMID: 27871104     DOI: 10.4271/2016-22-0014

Source DB:  PubMed          Journal:  Stapp Car Crash J        ISSN: 1532-8546


  5 in total

1.  A finite element-guided mathematical surrogate modeling approach for assessing occupant injury trends across variations in simplified vehicular impact conditions.

Authors:  P R Berthelson; P Ghassemi; J W Wood; G G Stubblefield; A J Al-Graitti; M D Jones; M F Horstemeyer; S Chowdhury; R K Prabhu
Journal:  Med Biol Eng Comput       Date:  2021-04-21       Impact factor: 2.602

2.  Research on Neck Response of Elderly Drivers in Rear Collision.

Authors:  Hequan Wu; Xiaoshun Deng; Lin Hu; Jin Liu; Xiaohao Liu
Journal:  Biomed Res Int       Date:  2022-06-07       Impact factor: 3.246

Review 3.  Development and Application of Digital Human Models in the Field of Vehicle Collisions: A Review.

Authors:  Qian Wang; Yunfeng Lou; Tong Li; Xianlong Jin
Journal:  Ann Biomed Eng       Date:  2021-05-13       Impact factor: 3.934

4.  A Numerical Investigation of Risk Factors Affecting Lumbar Spine Injuries Using a Detailed Lumbar Model.

Authors:  Jiajia Zheng; Liang Tang; Jingwen Hu
Journal:  Appl Bionics Biomech       Date:  2018-04-17       Impact factor: 1.781

5.  Hello, world! VIVA+: A human body model lineup to evaluate sex-differences in crash protection.

Authors:  Jobin John; Corina Klug; Matej Kranjec; Erik Svenning; Johan Iraeus
Journal:  Front Bioeng Biotechnol       Date:  2022-07-19
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.