6533b825fe1ef96bd12833be

RESEARCH PRODUCT

EEMD based analysis of vehicle crash responses

Zuolong WeiHamid Reza KarimiKjell G. Robbersmyr

subject

Engineeringbusiness.industrySIGNAL (programming language)Process (computing)CrashElectrical and Electronic Engineering; Industrial and Manufacturing EngineeringHilbert–Huang transformAutomotive engineeringIndustrial and Manufacturing EngineeringTime–frequency analysisNonlinear systemAccelerationComponent (UML)Electrical and Electronic EngineeringbusinessSimulation

description

The vehicle crash is a complex process with nonlinear large deformation of structures. The analysis of the crash process is one of the challenges for all vehicle safety researchers. In this paper, the Ensemble Empirical Mode Decomposition (EEMD) method is applied in the analysis of crash responses in order to achieve some meaningful results. With the help of EEMD, the crash responses are decomposed into a trend signal and some high frequency fluctuations. By studying the load path of vehicle design, each component is corresponding to the structure of vehicle body. Consequently, some parameters of vehicle crash model can be identified. A frontal crash of Toyota Yaris is employed for demonstration.

yearjournalcountryeditionlanguage
2015-11-01
10.1109/iecon.2015.7392918http://hdl.handle.net/11311/1017790