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Study on FE Modeling Method of the 50th Percentile Chinese Shank with Optimization Methods under Multi-Loading Condition |
Zhang Guanjun1, Wang Longliang1, Deng Xiaopeng1, Du Xianping1, Guan Fengjiao2* |
1(State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha 410082,China) 2(College of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha 410073, China) |
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Abstract The lower extremity of the human body is one of the most vulnerable parts in traffic accidents, and the finite element (FE) model of the lower limb has become an important tool to study mechanisms and protective methods of lower limb injuries. In order to ensure the fidelity of the model, it is necessary to carry out a comprehensive validation under multi-loading conditions. The biomechanical test data are different in the mechanical response due to the sample size and material diversity, so it is difficult to use one model to meet the multiple test data. The differences in geometric dimensions between Chinese and occidental human body would result in differences of biomechanical response, so it is necessary to develop the FE model of Chinese human body. In this paper, Geometry model based on the CT and MRI data was scaled to the 50 percentile male according to scaling factor derived from key dimensions of the tibia. The scaling method was also used to scale biomechanical test data to the biomechanical response data corresponding to the size of the leg. The elastic modulus, stress-strain curve, failure strain of the tibia and fibula and physical bulk modulus of the muscle were selected as design variables, the optimization method was used to fit tibia, fibula and calf biomechanical responses under different load positions in the quasi-static and dynamic loading conditions, which solved the problem with diversity caused by the test sample. When the elastic modulus of tibia and fibula were 18.43 and 18.23GPa, respectively, the failure strains were 1.156% and 0.8%, respectively, and physical bulk modulus of the calf was 11.33MPa, the calf model could fit the biomechanical responses well in many groups of tests. The FE model verification methods based on the optimization of multi-loading conditionsmade the FE model acquire better biofidelity effectively.
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Received: 29 June 2016
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