scholarly journals Development of finite-element models of human skeleton bones and their application to the natural vibration problem

2012 ◽  
Vol 5 (2) ◽  
pp. 308-312 ◽  
Author(s):  
V.P. Matveenko ◽  
I.N. Shardakov ◽  
A.P. Shestakov
2011 ◽  
Vol 110-116 ◽  
pp. 5131-5135
Author(s):  
Gao Feng Wei ◽  
Feng Tian ◽  
Cheng Tao Wang

Modeling and simulating of human musculoskeletal system is an important and challenging problem. This paper is aimed to build a computational platform to conquer this problem based on the China digital human project. First the 3D anatomical models of human musculoskeletal system were reconstructed and integrated. Second, the finite element models of human skeleton system were built. In the end, a computational platform, which integrated the models and six related analysis modules, was developed to model and simulate human musculoskeletal system. A case study of subject’s gait was implemented to demonstrate that this computational platform had potential in research of human musculoskeletal biomechanics.


1988 ◽  
Vol 16 (1) ◽  
pp. 18-43 ◽  
Author(s):  
J. T. Oden ◽  
T. L. Lin ◽  
J. M. Bass

Abstract Mathematical models of finite deformation of a rolling viscoelastic cylinder in contact with a rough foundation are developed in preparation for a general model for rolling tires. Variational principles and finite element models are derived. Numerical results are obtained for a variety of cases, including that of a pure elastic rubber cylinder, a viscoelastic cylinder, the development of standing waves, and frictional effects.


1997 ◽  
Author(s):  
Francois Hemez ◽  
Emmanuel Pagnacco ◽  
Francois Hemez ◽  
Emmanuel Pagnacco

2021 ◽  
pp. 107754632199759
Author(s):  
Jianchun Yao ◽  
Mohammad Fard ◽  
John L Davy ◽  
Kazuhito Kato

Industry is moving towards more data-oriented design and analyses to solve complex analytical problems. Solving complex and large finite element models is still challenging and requires high computational time and resources. Here, a modular method is presented to predict the transmission of vehicle body vibration to the occupants’ body by combining the numerical transfer matrices of the subsystems. The transfer matrices of the subsystems are presented in the form of data which is sourced from either physical tests or finite element models. The structural dynamics of the vehicle body is represented using a transfer matrix at each of the seat mounting points in three triaxial (X–Y–Z) orientations. The proposed method provides an accurate estimation of the transmission of the vehicle body vibration to the seat frame and the seated occupant. This method allows the combination of conventional finite element analytical model data and the experimental data of subsystems to accurately predict the dynamic performance of the complex structure. The numerical transfer matrices can also be the subject of machine learning for various applications such as for the prediction of the vibration discomfort of the occupant with different seat and foam designs and with different physical characteristics of the occupant body.


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