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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhang Yonglin Yu Nanhui Guo Weifeng Zhang Yunqing |
| Copyright Year | 2010 |
| Description | Author affiliation: School of Mechanical Engineering, Wuhan Polytechnic University, China (Zhang Yonglin; Yu Nanhui; Guo Weifeng) || CAD center, Huazhong University of Science and Technology, Wuhan, China (Zhang Yunqing) |
| Abstract | The future way for vehicle development extremely depends on the virtual prototyping of vehicles. In order to analyze the nonlinear ride dynamics of vehicles, it is necessary to establish the time domain model of stochastic road irregularity as the excitation to the vehicle system. Based on the mathematical theory of the stochastic process, a time domain model of stochastic road irregularities with arbitrary or specified power spectral density (PSD) was constructed by using inverse fast Fourier transfer (IFFT) method, and the model could be expanded to include the information of both the auto-PSD and the cross-PSD. By using the new modeling approach, the resulting bilateral stochastic processes of a road were correlative in the time domain. A simulation example demonstrates the method efficiently and accurately. |
| Starting Page | 150 |
| Ending Page | 154 |
| File Size | 673266 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424476534 |
| e-ISBN | 9781424476565 |
| DOI | 10.1109/ICINDMA.2010.5538348 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-05-30 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Stochastic processes Time domain analysis Nonlinear dynamical systems bilateral tracks Power system modeling Vehicle dynamics road power spectral density (PSD) Stochastic systems Road vehicles mathematical modeling Numerical simulation Mathematical model Virtual prototyping stochastic road irregularity numerical simulation |
| Content Type | Text |
| Resource Type | Article |
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