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Construction of road roughness in left and right wheel paths based on PSD and coherence function

机译:基于PSD和相干函数的左右轮道路粗糙度的构造。

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摘要

A new method of constructing road roughness in left and right wheel paths based on specified Power Spectral Density (PSD) and coherence function is proposed. This is achieved through a sequence of steps. First, the road roughness is divided into original and perturbed parts. The original road roughness in left and right wheel paths is assumed to be equivalent, while the two parallel perturbed road roughnesses are considered to be stochastic and independent of each other. Second, the auto-PSDs of the original and perturbed road roughness are derived through the specified PSD and coherence function. Then, the original and perturbed road roughnesses are constructed based on their auto-PSDs using the IFFT method. Finally, the road roughness is obtained by combining the original and perturbed roughness together. The method is validated through a construction example. The results show that the road roughness in the left and right wheel paths constructed through this method can satisfy both the PSD and coherence function conditions, and good randomness of the perturbed road roughness ensures high precision of this method.
机译:提出了一种基于指定功率谱密度(PSD)和相干函数的左右轮道路粗糙度构建方法。这是通过一系列步骤实现的。首先,将道路平整度分为原始部分和扰动部分。假设左右车轮路径中的原始道路粗糙度相等,而两个平行的扰动的道路粗糙度被认为是随机的且彼此独立。其次,通过指定的PSD和相干函数得出原始和扰动的道路粗糙度的自动PSD。然后,使用IFFT方法基于自动和PSD构造原始和受干扰的道路粗糙度。最后,通过将原始粗糙度和摄动的粗糙度结合在一起来获得道路粗糙度。通过构造示例验证了该方法。结果表明,通过该方法构造的左右轮径路面平整度可以同时满足PSD和相干函数条件,扰动的路面平整度具有良好的随机性,可以保证该方法的高精度。

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