Stochastic Modeling in Multibody Dynamics: Aerodynamic Loads on Ground Vehicles

被引：9

作者：

Wetzel, Christian ^{[1
]}

Proppe, Carsten ^{[1
]}

机构：

[1] Univ Karlsruhe, Inst Tech Mech, D-76131 Karlsruhe, Germany

来源：

JOURNAL OF COMPUTATIONAL AND NONLINEAR DYNAMICS | 2010年 / 5卷 / 03期

关键词：

aerodynamics; Monte Carlo methods; probability; response surface methodology; road vehicles; stochastic processes; HIGH DIMENSIONS; PROBABILISTIC ASSESSMENT; STRUCTURAL RELIABILITY; FAILURE PROBABILITIES; PART I; UNCERTAINTIES; ALGORITHMS; ACCIDENTS; BENCHMARK; SYSTEMS;

D O I：

10.1115/1.4001376

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

The influence of wind loads on the driving behavior of ground vehicles is an important economical, safety, and comfort issue. The crosswind performance is of great interest, as violent lateral winds can cause major accidents or will at least make the driver and the passengers feel very uncomfortable and insecure. In this paper, a sampling based methodology for the analysis of stochastic ground vehicle systems is presented. Starting from the well known Monte Carlo method more sophisticated reliability methods with higher efficiency are introduced and their advantages and drawbacks are critically reviewed. Furthermore, probabilistic sensitivity analyses are presented, which can be used to quantify the importance of the random variables on the response of the vehicle system. The influence of the parameters of the probability density functions is investigated by means of a novel response surface method. The mentioned approach is applied to a nonlinear road vehicle model under strong crosswind excitation for which the failure probabilities and the sensitivities are computed. [DOI: 10.1115/1.4001376]

引用

页码：1 / 9

页数：9

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