Abstract
Road roughness is a broad term that incorporates everything from potholes and cracks to the random deviations that exist in a profile. To build a roughness index, road irregularities need to be measured first. Existing methods of gauging the roughness are based either on visual inspections or using one of a limited number of instrumented vehicles that can take physical measurements of the road irregularities. This paper more specifically focuses on the estimation of a road profile (i.e., along the “wheel track”). This paper proposes a solution to the road profile estimation using a wavelet neural network (WNN) approach. The method incorporates a WNN which is trained using the data obtained from a 7-DOF vehicle dynamic model in the MATLAB Simulink software to approximate road profiles via the accelerations picked up from the vehicle. In this paper, a novel WNN, multi-input and multi-output feed forward wavelet neural network is constructed. In the hidden layer, wavelet basis functions are used as activate function instead of the sigmoid function of feed forward network. The training formulas based on BP algorithm are mathematically derived and a training algorithm is presented. The study investigates the estimation capability of wavelet neural networks through comparison between some estimated and real road profiles in the form of actual road roughness.
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Ali Solhmirzaei received his BSc in Railway Engineering (Rolling Stock) from Iran University of Science and Technology in 2008, and his MSc in Mechanical Engineering from K.N.T University of Technology, Iran, in 2011. His research is mainly focused on vehicle dynamics, railway vehicle dynamics, finite elements and fatigue analysis of railway structures.
Shahram Azadi received his B.S. and M.S. in Mechanical Engineering from Sharif University of Technology, Iran, in 1988 and 1992, respectively. He then received his Ph.D from Amirkabir University of Technology, Iran, in 1999. Dr. Azadi is currently an assistant professor in the faculty of Mechanical Engineering at K.N.Toosi University of Technology in Tehran, Iran.
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Solhmirzaei, A., Azadi, S. & Kazemi, R. Road profile estimation using wavelet neural network and 7-DOF vehicle dynamic systems. J Mech Sci Technol 26, 3029–3036 (2012). https://doi.org/10.1007/s12206-012-0812-x
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DOI: https://doi.org/10.1007/s12206-012-0812-x