Literature DB >> 25133596

Finite element study of human pelvis model in side impact for Chinese adult occupants.

Zhengwei Ma1, Fengchong Lan, Jiqing Chen, Weiguo Liu.   

Abstract

OBJECTIVE: The occupant's pelvis is very vulnerable to side collision in road accidents. Finite element (FE) studies on pelvic injury help to design occupant protection devices to improve vehicle safety. This study was aimed to develop a highly biofidelic pelvis model of Chinese adults and assess its sensitivity to variations in pelvis cortical bone thickness, bone material properties, and loading conditions.
METHODS: In this study, 4 different FE models of the pelvis were developed from the computed tomography (CT) data of a volunteer representing the 50th percentile Chinese male. Two of them were meshed using entirely hexahedral elements with variable and constant cortical thickness distribution (the V-Hex and C-Hex models), and the others were modeled with hexahedral elements for cancellous bone and variable or constant thickness shell elements for cortical bone (the V-HS and C-HS models). In model developments, the semi-automatic multiblock meshing approach was employed to maintain the pelvis geometric curvature and generate a high-quality hexahedral mesh. Then, several simulations with postmortem human subjects (PMHS) tests were performed to obtain the most accurate model in predicting pelvic injury. Based on the most accurate model, sensitivity studies were conducted to analyze the effects of the cortex thickness, Young's modulus of the cortical and cancellous bone, impactor velocity, and impactor with or without padding on the biomechanical responses and injuries of pelvis.
RESULTS: The results indicate that the models with variable cortical bone thickness can give more accurate predictions than those with constant cortical thickness. Both the V-Hex and V-HS models are favorable for simulating pelvic response and injury, but the simulation results of the V-Hex model agree with the tests better. The sensitivity study shows that pelvic response is more sensitive to alterations in the Young's modulus of cortical bone than cancellous bone. Compared to failure displacement, peak force is more sensitive to the cortical bone thickness. However, displacement is more sensitive to the Young's modulus of cancellous bone than peak force. The padding attached on the impactor plays a significant role in absorbing the impact energy and alleviating pelvic injury.
CONCLUSIONS: The all-hex meshing method with variable cortical bone thickness has the highest accuracy but is time-consuming. The cortical bone plays a determining role in resisting pelvic fracture. Peak impact force appears to be a reasonable injury predictor for pelvic injury assessment. Some appropriate energy absorbers installed in the car door can significantly reduce pelvic injury and will be beneficial for occupant protection.

Entities:  

Keywords:  biofidelic; finite element; pelvis model; sensitivity study; side impact

Mesh:

Year:  2015        PMID: 25133596     DOI: 10.1080/15389588.2014.950370

Source DB:  PubMed          Journal:  Traffic Inj Prev        ISSN: 1538-9588            Impact factor:   1.491


  3 in total

1.  A Cortical Thickness Mapping Method for the Coxal Bone Using Morphing.

Authors:  J Sebastian Giudice; David Poulard; Bingbing Nie; Taotao Wu; Matthew B Panzer
Journal:  Front Bioeng Biotechnol       Date:  2018-10-18

2.  Dynamic Simulation of Biomechanical Behaviour of the Pelvis in the Lateral Impact Loads.

Authors:  Mohsen Hatami; Dongmei Wang; Aili Qu; Zeng Xiangsen; Qiugen Wang; Behzad Baradaran Kazemian
Journal:  J Healthc Eng       Date:  2018-09-18       Impact factor: 2.682

3.  In Silico Pelvis and Sacroiliac Joint Motion: Refining a Model of the Human Osteoligamentous Pelvis for Assessing Physiological Load Deformation Using an Inverted Validation Approach.

Authors:  Maziar Ramezani; Stefan Klima; Paul Le Clerc de la Herverie; Jean Campo; Jean-Baptiste Le Joncour; Corentin Rouquette; Mario Scholze; Niels Hammer
Journal:  Biomed Res Int       Date:  2019-01-09       Impact factor: 3.411

  3 in total

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