Title: Relation between power spectral density of road roughness and international roughness index and its application
Authors: Jie Li; Zhenwei Zhang; Xiong Gao; Peide Wang; Jiantong Li
Addresses: State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130025, China ' State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130025, China ' State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130025, China ' State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130025, China ' School of Finance, Nankai University, Tianjin 300350, China
Abstract: To address issues on the relation between the power spectral density (PSD) of road roughness and international roughness index (IRI), a simple method based on stochastic mathematics is used to derive the relation between the IRI and relative vertical velocity of sprung and unsprung masses of a quarter-car vibration system. The relation between the PSD of road roughness and IRI is also derived. Furthermore, two new concepts comprising time and spatial frequency IRI suitable for any form of longitudinal road-profile PSD are proposed. Based on the up-to-date ISO road classification and the proposed concepts, car-based and truck-based road classifications are presented. Compared with IRI, a new index named IRItr is found to be a better index for ranking road roughness from the perspective of the dynamic wheel load of a truck.
Keywords: road roughness; IRI; international roughness index; PSD; power spectral density; time frequency; spatial frequency; road classification; stochastic mathematics; random vibration; pavement management; vehicle manufacture; frequency response function; Gaussian distribution; dynamic wheel load.
International Journal of Vehicle Design, 2018 Vol.77 No.4, pp.247 - 271
Accepted: 17 Feb 2019
Published online: 20 May 2019 *