Abstract
We examine the dynamical response of a semitrailer suspension to a real road profile under two different loads. The trailer is a low loader for transporting heavy and large loads, the configuration of which can be adjusted as desired. Experiments are performed on both unladen and 57-ton laden trailers. The acceleration of unsprung and sprung parts of the vehicle is measured. The obtained acceleration time series are then analyzed using the Fourier and wavelet transforms as well as the multiscale entropy approach. The data analysis results reveal transmission of suspension vibration and complexity of vehicle vertical acceleration as a response to the road profile.
Highlights
The effect of a rough road surface on vehicle vibrations is still researched by automotive manufacturers and research groups [1,2,3,4,5,6,7]
We have analyzed the effect of load on vibration transmission through the heavy semitrailer suspension
We observed a reflection of the resonance peaks of the sprung mass in the Fourier and Wavelet spectra where the transmission increased considerably
Summary
The effect of a rough road surface on vehicle vibrations is still researched by automotive manufacturers and research groups [1,2,3,4,5,6,7]. For a better understanding of the problem, the behavior of different types of vehicle suspensions was tested under real road conditions These tests were performed in order to identify and optimize the suspension parameters [10,11,12], and to minimize tire wear [13]. Despite the visible progresses in simplified vehicle modeling, semitrailer suspensions, especially heavier ones with a modular design, have not been studied extensively. The investigation of such vehicles is important because of the structure overload and tire wear and because of dynamic interaction between the wheels and road surface that causes surface degradation and exerts great impact on road infrastructure such as bridges and railway crossing. The aim of this study was to analyze the vibration of a heavy semitrailer during its operation
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