Authors: Rui Ma; Heather Chemistruck; John B. Ferris
Addresses: IALR, 150 Slayton Avenue, Danville, VA 24540, USA ' General Motors Road 3300, Milford, MI 48380, USA ' Mechanical Engineering, Durham Hall 143, Blacksburg, VA 24061, USA
Abstract: In the automotive industry, proper mathematical models of terrain profiles provide a compact representation of excitations to vehicle simulations. Vehicle design is aided by accurately representing the excitation and thereby improving the accuracy of the resulting suspension loading conditions, vehicle response and fatigue life predictions. Terrain data acquisition methods are reviewed to provide a framework for the scope of applicability of these models. Several roughness indices are reviewed that identify and classify the type and general severity of terrain, including their measurement procedures, algorithms, applicability and limitations are discussed and compared. The statistical properties of the terrain and various modelling methods are reviewed, including Power Spectral Density (PSD), Markov Chains, Autoregressive Models, Wavelets and Hilbert-Huang Transformation (HHT). The advantages and disadvantages of these models are discussed based on the model's capability to capture the stochastic nature of terrain profiles. As a result of this review, the implications of the selection of a particular terrain model can be evaluated with respect to particular applications.
Keywords: terrain data acquisition; roughness indices; terrain modelling; rough terrain; mathematical modelling; simulation; vehicle design; power spectral density; PSD; Markov chains; autoregressive models; wavelets; Hilbert-Huang transform; HHT; terrain profiles.
International Journal of Vehicle Design, 2013 Vol.61 No.1/2/3/4, pp.285 - 304
Available online: 05 Dec 2012 *Full-text access for editors Access for subscribers Purchase this article Comment on this article