scholarly journals Robust Scattered Data Points Approximation Using Finite Element Biomechanical Model

2012 ◽  
Author(s):  
Yixun Liu ◽  
Nikos Chrisochoides

Many enabling technologies like non-rigid registration in medical image computing rely on the construction of a function by interpolating scattered points; however, the outliers contained in the data and the approximation error make the robust and accurate estimation difficult. This paper presents an ITK implementation of a robust Finite Element (FE) solver, which can effectively deal with the above difficulties. The experiment results of synthetic data and real cases demonstrate the characteristics of the robust solver and its typical application.

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.


2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
Lev V. Utkin

A fuzzy classification model is studied in the paper. It is based on the contaminated (robust) model which produces fuzzy expected risk measures characterizing classification errors. Optimal classification parameters of the models are derived by minimizing the fuzzy expected risk. It is shown that an algorithm for computing the classification parameters is reduced to a set of standard support vector machine tasks with weighted data points. Experimental results with synthetic data illustrate the proposed fuzzy model.


2008 ◽  
Vol 41 (11) ◽  
pp. 2483-2491 ◽  
Author(s):  
Enrico Schileo ◽  
Enrico Dall’Ara ◽  
Fulvia Taddei ◽  
Andrea Malandrino ◽  
Tom Schotkamp ◽  
...  

2003 ◽  
Vol 10 (12) ◽  
pp. 1339-1340 ◽  
Author(s):  
Yoshinobu Sato ◽  
Guido Gerig

Author(s):  
C-P Fung ◽  
J Smart

Fatigue lives of snap and countersunk riveted single lap joints with either one-row or two- rows of rivets have been predicted with fatigue laws using either local total strain range or effective stress obtained from finite element analyses and data obtained from fatigue testing of plates with holes. The finite element models of the joints were subjected to an alternating cyclic load; plasticity and nonlinear geometry are considered. The failures have also been metallurgically examined and gave evidence of fretting damage. It was found that all the data points lie within a narrow band using the strain-life law although the band is wider when using the effective stress-life law, but it is impossible to predict the fatigue life from one kind of specimen to another using the conventional stress-life law.


2006 ◽  
Vol 94 (9) ◽  
pp. 1665-1677 ◽  
Author(s):  
J. Troccaz ◽  
M. Baumann ◽  
P. Berkelman ◽  
P. Cinquin ◽  
V. Daanen ◽  
...  

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