Author: Guy Nusholtz—FCA US LLC
Abstract
There are many methods to determine and characterize the relative differences of two-time histories, test to test, model to test, or comparing two different systems like different vehicle responses or different dummy responses. This short communication presents a method for comparison of two-time histories (model and the average of two or more tests) using a method that estimates the minimum differences of two-time histories. The method uses: magnitude, shape, phase, and Global coefficient of variance (GCV). The comparison of the two signals is done using GCV and/ or a derivative of GCV (G-R^2) and the three values, magnitude shape and phase is used to understand the characteristics of the difference.
Pages: 4
Event: 67th Stapp Car Crash Conference
Type: Short Communication