非高斯脉动风压的分形模拟研究

发布时间：2018-03-23 02:06

本文选题：分形　切入点：Weierstrass-Mandelbrot函数　出处：《湖南大学学报(自然科学版)》2017年07期 　论文类型：期刊论文

【摘要】：基于风洞试验中采集的厦门沿海某高层建筑模型的表面风压时程,计算各测点脉动风压的分形维数,偏度系数和峰度系数,找出脉动风压呈现较明显的非高斯特性的4个测点.考虑脉动风时程具有分形的特性,结合相关性变形法,采用具有分形特性的Weierstrass-Mandelbrot函数对非高斯特性明显的4个测点的脉动风压进行了模拟.结果表明,模拟得到的4个测点的非高斯脉动风压时程与风洞试验的非高斯脉动风压时程的概率分布曲线吻合较好,功率谱图形比较相似,分形维数,偏度系数和峰度系数均比较接近.说明本文所提出的用分形方法模拟具有非高斯特性的脉动风压是可行的,弥补了传统的线性滤波器法和谐波叠加法模拟结果均不具有分形特性的缺点,对非高斯脉动风压的数值模拟有一定的参考价值.
[Abstract]:Based on the surface wind pressure time history of a tall building model in Xiamen coastal area collected in wind tunnel test, the fractal dimension, deviation coefficient and kurtosis coefficient of pulsating wind pressure at each measuring point are calculated. Find out four measuring points of pulsating wind pressure with obvious non-#china_person0# characteristics. Considering the fractal character of pulsating wind history, combining with the correlation deformation method, The Weierstrass-Mandelbrot function with fractal characteristics is used to simulate the pulsating wind pressure of four measuring points with obvious non-#china_person0# characteristics. The time history of non-#china_person0# pulsating wind pressure obtained by simulation is in good agreement with the probability distribution curve of non-#china_person1# pulsating wind pressure time history in wind tunnel test, the power spectrum pattern is similar, and the fractal dimension is obtained. The skewness coefficient and kurtosis coefficient are close to each other. It shows that the fractal method proposed in this paper is feasible to simulate the fluctuating wind pressure with non-#china_person0# characteristics. It makes up for the shortcoming that neither the traditional linear filter method nor the harmonic superposition method has fractal characteristics. It has a certain reference value for the numerical simulation of non-#china_person0# pulsating wind pressure.
【作者单位】：湖南大学建筑安全与节能教育部重点试验室;
【基金】：国家自然科学基金资助项目(51278190,51478179) 浙江省自然科学基金资助项目(LY12E08010)~~
【分类号】：TU312.1

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