An Efficient Sensitivity Analysis Method for Modified Geometry of Macpherson Suspension Based on Pearson Correlation Coefficient

The main purpose of this paper is to propose a new method for designing Macpherson suspension, based on the Sobol indices in terms of Pearson correlation which determines the importance of each member on the behavior of vehicle suspension. The formulation of dynamic analysis of Macpherson suspension system is developed using the suspension members as the modified links in order to achieve the desired kinematic behavior. The mechanical system is replaced with an equivalent constrained links and then kinematic laws are utilized to obtain a new modified geometry of Macpherson suspension. The equivalent mechanism of Macpherson suspension increased the speed of analysis and reduced its complexity. The ADAMS/CAR software is utilized to simulate a full vehicle, Renault Logan car, in order to analyze the accuracy of modified geometry model. An experimental 4-poster test rig is considered for validating both ADAMS/CAR simulation and analytical geometry model. Pearson correlation coefficient is applied to analyze the sensitivity of each suspension member according to vehicle objective functions such as sprung mass acceleration, etc. Besides this matter, the estimation of Pearson correlation coefficient between variables is analyzed in this method. It is understood that the Pearson correlation coefficient is an efficient method for analyzing the vehicle suspension which leads to a better design of Macpherson suspension system.


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  • Accession Number: 01632396
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Apr 18 2017 11:53AM