The MAX-Analysis: New Computational and Post-Processing Procedures for Vehicle Safety Analysis

Author(s):  
David Vinckier
2020 ◽  
Vol 14 (13) ◽  
pp. 1759-1768
Author(s):  
Yicong Liu ◽  
Jianqiang Wang ◽  
Chaoyi Chen ◽  
Qing Xu ◽  
Lingxi Li

Author(s):  
Lei Gu

Abstract Vehicle crash is a highly nonlinear event in terms of the structural and dummy responses. However, Linear and quadratic polynomials regression are still widely used in the design optimization and reliability based optimization of vehicle safety analysis. This paper investigates the polynomial based subset selection regression models for vehicle safety analysis. Three subset selection techniques: all possible subset with linear polynomial, stepwise with quadratic polynomial and sequential replacement with quadratic and cubic polynomials, are discussed. The methods have been applied to data from finite element simulations of vehicle full frontal crash, side impact and frontal offset impact. It is shown subset selection with sequential replacement algorithm gives the best accuracy responses. It is also shown from limited finite element simulation data, the quadratic polynomial is good enough for most structural and dummy responses when gauges and materials are used as design variables. For vehicle weight, linear polynomial fits well.


Author(s):  
Thorben Janz ◽  
Andreas Leich ◽  
Marek Junghans ◽  
Kay Gimm ◽  
Shishan Yang ◽  
...  

2018 ◽  
Vol 22 (11) ◽  
pp. 4580-4592 ◽  
Author(s):  
S. R. Seyedalizadeh Ganji ◽  
Amir Abbas Rassafi ◽  
Ali Abdi Kordani

2006 ◽  
Author(s):  
Hideki Suzuki ◽  
Yoichi Sugimoto ◽  
R. Michael Van Auken ◽  
John W. Zellner

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