• CN:11-2187/TH
  • ISSN:0577-6686

›› 2013, Vol. 49 ›› Issue (4): 106-113.

• 论文 • 上一篇    下一篇

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基于滑动分块Bootstrap方法的非结构道路谱 -稳定分布参数区间估计与重构

丛楠;尚建忠;任焱晞   

  1. 国防科技大学机电工程与自动化学院;工程装备系统研究所
  • 发布日期:2013-02-20

Unstructured Road Spectrum-stable Distribution Parameters Interval Estimation and Reconstruction Based on Moving Block Bootstrap Method

CONG Nan;SHANG Jianzhong; REN Yanxi   

  1. College of Mechanical Engineering and Automation, National University of Defense Technology System Institute of Engineering Equipment
  • Published:2013-02-20

摘要: 采用对称 -稳定分布模型来描述非结构路面谱的非高斯幅值分布特性。针对实际路谱采集作业中路段长度有限、道路自身特性多样等因素对重构路谱准确性的不利影响,使用空间滑动Bootstrap重抽样,得到采集谱稳定分布参数的估计区间,进而基于稳定分布序列生成理论并考虑道路模拟试验的实际限制,使用有幅值截断的稳定分布序列,重构出具有随机稳定分布特征且适用于台架试验的非结构道路重构谱。通过对某工程车的试验场道路重构的实际应用,验证了所提出的非结构道路谱参数区间估计以及路谱重构方法的有效性和实用性。为开展车辆的非结构道路模拟试验乃至车辆的虚拟行驶疲劳试验提供了一种道路谱时域重构的可靠方法。

关键词: Bootstrap, 道路模拟, 道路谱, 非高斯, 非结构道路, 区间估计, 稳定分布

Abstract: Symmetrical -stable distribution is used to express the amplitude non-Gaussian characteristics of the unstructured road spectrum. In the in-situ road spectrum collection implementation, the route length limitation and road surface diversity may decrease the spectrum accuracy. The moving block bootstrap confidence interval estimation method is adopted to estimate the interval of the stable distribution parameters. According to both the stable distribution random series generation theory and the simulation capability of road simulation test bench, the reconstructed spectrum is composed by the amplitude truncated stable distribution random series. The validity and practicality of proposed methods are verified by reconstructing the spectrum of an off-highway vehicle riding through a test ground. An effect time domain road spectrum reconstruction method is provided for the unstructured road simulation and virtual reliability test.

Key words: Bootstrap, Interval estimation, Non-Gaussian, Road simulation, Road spectrum, Stable distribution, Unstructured road

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