Models for road surface roughness

被引:69
|
作者
Bogsjo, Klas [3 ]
Podgorski, Krzysztof [2 ]
Rychlik, Igor [1 ]
机构
[1] Chalmers, SE-41296 Gothenburg, Sweden
[2] Lund Univ, Ctr Math Sci, S-22100 Lund, Sweden
[3] RTRA Load Anal, Scania CV AB, SE-15187 Sodertalje, Sweden
基金
瑞典研究理事会;
关键词
road surface irregularity; damage variability; Laplace moving averages; MIRA spectrum; STOCHASTIC-MODELS; SIMULATION; PROFILES;
D O I
10.1080/00423114.2011.637566
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
This study focuses on the statistical description and analysis of road surface irregularities that are essential for heavy-vehicle fatigue assessment. Three new road profile models are proposed: a homogenous Laplace moving average process, a non-homogenous Laplace process and a hybrid model that combines Gaussian and Laplace modelling. These are compared with the classical homogenous Gaussian process as well as with the non-homogenous Gaussian model that represents the road surface as a homogenous Gaussian process with Motor Industry Research Association spectrum enhanced by randomly placed and shaped irregularities. The five models are fitted to eight measured road surfaces and their accuracy and efficiency are discussed.
引用
收藏
页码:725 / 747
页数:23
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