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Modeling the Vibrations of and Energy Distributions in Car Body Structures

机译:建模车身结构中的振动和能量分布

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A general numerical method, the so-called Fourier Spectral Element Method (FSEM), is described for the dynamic analysis of complex systems such as car body structures. In this method, a complex dynamic system is viewed as an assembly of a number of fundamental structural components such as beams, plates, and shells. Over each structural component, the basic solution variables (typically, the displacements) are sought as a continuous function in the form of an improved Fourier series expansion which is mathematically guaranteed to converge absolutely and uniformly over the solution domain of interest. Accordingly, the Fourier coefficients are considered as the generalized coordinates and determined using the powerful Rayleigh-Ritz method. Since this method does not involve any assumption or an introduction of any artificial model parameters, it is broadly applicable to the whole frequency range which is usually divided into low, mid, and high frequency regions. Further, because the current model is mesh-less and grid-free, it is particularly suited for sensitivity and statistical analyses and facilitates a smooth transition between the different frequency regions by switching on/off any statistical processing or spatial- and frequency-averaging features. As an example, this method is used to study the vibration characteristics of a car body structure (body-in-white). It is shown that the spatial- and frequency-averaging processes may not be desired for the mid-frequency analysis because the important dynamic characteristic of a system tends to be completely wiped out by them.
机译:通用数值方法,所谓的傅里叶谱元素方法(FSEM)描述用于车身结构的复杂系统的动态分析。在该方法中,复杂的动态系统被视为多个基本结构部件的组装,例如梁,板和壳。在每个结构部件上,基本溶液变量(通常,位移)被寻求以改进的傅里叶串联扩展的形式寻求连续功能,该傅里叶串联扩展的形式是在数学上保证在感兴趣的解决方案领域中绝对和统一地收敛。因此,傅立叶系数被认为是广义坐标并使用强大的瑞利-RITZ方法确定。由于该方法不涉及任何假设或引入任何人工模型参数,因此广泛适用于通常分为低,中和高频区域的整个频率范围。此外,因为当前模型是无网格和无线的,所以它特别适用于灵敏度和统计分析,并且通过开启/关闭任何统计处理或空间和频率平均功能,促进不同频率区域之间的平滑过渡。作为示例,该方法用于研究车身结构的振动特性(白色)。结果表明,中频分析可能不需要空间和频率平均过程,因为系统的重要动态特性趋于完全擦除它们。

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