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Wavelet analysis of extreme wind loads on low-rise structures.

机译:小高层建筑极限风荷载的小波分析。

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Over the past thirty years, extensive research has been conducted with the objective of reducing wind damage to structures. Wind tunnel simulations of wind loads have been the major source of building codes. However, a simple comparison of pressure coefficients measured in wind tunnel simulations with full-scale measurements show that the simulations, in general, underpredict extreme negative pressure coefficients. One obvious reason is the lack of consensus on wind tunnel simulation parameters.; The wind in the atmospheric surface layer is highly turbulent. In simulating wind loads on structures, one needs to simulate the turbulent character besides satisfying geometric and dynamic similitudes. Some turbulence parameters that have been considered in many simulations include, turbulence intensities, integral length scales, surface roughness, and frequency spectrum. One problem with these parameters is that they are time varying in the atmospheric boundary layer and their averaged value, usually considered in the wind tunnel simulations, cannot be used to simulate pressure peaks.; In this work, we show how wavelet analysis and time-scale representation can be used to establish an intermittency factor that characterizes energetic turbulence events in the atmospheric flows. Moreover, we relate these events to the occurrence of extreme negative peak pressures.
机译:在过去的三十年中,已经进行了广泛的研究,目的是减少风对结构的损害。风荷载的风洞模拟一直是建筑法规的主要来源。然而,在风洞模拟中测得的压力系数与满量程测量值的简单比较表明,模拟通常会低估极端的负压系数。一个明显的原因是对风洞模拟参数缺乏共识。大气表层的风非常湍急。在模拟结构上的风荷载时,除了满足几何和动态相似性之外,还需要模拟湍流特性。许多模拟中已考虑的一些湍流参数包括湍流强度,积分长度标度,表面粗糙度和频谱。这些参数的一个问题是它们在大气边界层中随时间变化,并且通常在风洞模拟中考虑的它们的平均值不能用于模拟压力峰值。在这项工作中,我们展示了如何使用小波分析和时标表示法来建立表征大气流中高能湍流事件的间歇性因子。此外,我们将这些事件与极端负峰值压力的发生联系起来。

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