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首页> 外文期刊>International Journal of Automotive Technology >Road Noise Reduction of a Sport Utility Vehicle via Panel Shape and Damper Optimization on the Floor Using Genetic Algorithm
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Road Noise Reduction of a Sport Utility Vehicle via Panel Shape and Damper Optimization on the Floor Using Genetic Algorithm

机译:使用遗传算法通过面板形状和阻尼器优化的运动型多用途车辆的路降低

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摘要

Road noise is always a major concern in automotive industries. The contribution of the floor of a automotive vehicle to road noise is large because of its large area and close location to chassis in terms of structure-borne noise. Therefore, the panel shape and damper of the floor should be carefully designed, which are effective on medium frequency region of the road noise. Because there are so many design options on the floor panels that experience high modal density and short wavelength at medium frequencies, traditional mode-decoupling approaches are no longer efficient. This study shows that a proposed optimization process based on a finite element model and a genetic algorithm is successful to reduce road noise at medium frequencies. Some background theories about the genetic algorithm and acoustic radiation efficiency in the frame of vibro-acoustics are explained to understand the optimization process. Vehicle performance evaluation and experimental study are given to validate this study. Finally, this verified process is applied to a sport utility vehicle (SUV) under development, whose road noise reduction is shown to be successful.
机译:道路噪音始终是汽车行业的主要问题。汽车车辆地板到公路噪音的贡献很大,因为它在结构传播的噪音方面是底盘的大面积和关闭位置。因此,应仔细设计地板的面板形状和阻尼器,这对道路噪声的中频区域有效。由于在媒体频率下体验高模态密度和短波长的地板上有这么多的设计选项,传统的模式解耦方法不再有效。该研究表明,基于有限元模型和遗传算法的提出的优化过程是成功的,以减少媒体频率的道路噪声。解释了遗传算法的一些背景理论和振动声学框架中的声学辐射效率,以了解优化过程。提供车辆性能评估和实验研究验证了这项研究。最后,在开发的开发过程中应用了该经过验证的过程,其道路降噪显示成功。

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