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FLUCTUATING WIND SPEED NUMERICAL SIMULATION OF U-SHAPED AQUEDUCT BASED ON ARMA MODEL

机译:基于Arma模型的U型渡槽脉动风速数值模拟。

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The large-span U-shaped aqueduct belongs to the windsensitive structures. Its analysis of the windinduced dynamic response is one of hot issues in the wind engineering field recently. Time domain analysis is regarded as one of the better methods to analyze the wind-resistant aspect. Research may gain an insight into the dynamic characteristics of vibration of structures under wind loads via the wind-induced response time domain analysis. Samples of wind speed time series are necessary when time domain analysis is conducted. Reproducing samples of wind speed time series by computer numerical simulation is a better method which is usually applied. Wind field acted on structures is random in both time and space. And based on the condition that aqueduct structure is always large scale and complication, the numerical simulation of its fluctuating wind speed series has a certain difficulty. The main objective of the present paper is to simulate the fluctuating wind speed time series of U-shaped aqueduct with resorting to Autoregressive Moving Average (ARMA) method. This method deduces fluctuating wind speed of every space point based on known power spectrum of the fluctuating wind speed by the transfer function. And it is efficient in simulating wind speed time series which has time and space correlativity. At the last part, it verifies the feasibility of wind speed time series simulation based on the ARMA model by presenting comparison of values of power spectrum of the fluctuating wind speed and correlation functions between target and simulation.
机译:大跨度的U形渡槽属于风敏结构。对风动力响应的分析是近来风工程领域的热点问题之一。时域分析被认为是分析抗风方面的较好方法之一。通过风致响应时域分析,研究可以了解风荷载下结构振动的动态特性。进行时域分析时,需要风速时间序列样本。通过计算机数值模拟来再现风速时间序列的样本是一种通常被采用的更好的方法。作用在结构上的风场在时间和空间上都是随机的。并且在渡槽结构始终大型化,复杂化的条件下,其风速脉动序列的数值模拟具有一定的难度。本文的主要目的是利用自回归移动平均(ARMA)方法来模拟U形渡槽的波动风速时间序列。该方法基于传递函数的波动风速的已知功率谱,推导出每个空间点的波动风速。而且它在模拟具有时间和空间相关性的风速时间序列方面非常有效。最后,通过比较风速波动的功率谱值和目标与模拟之间的相关函数,验证了基于ARMA模型的风速时间序列模拟的可行性。

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