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Representation of the wind action on structures by Proper Orthogonal Decomposition

机译:通过适当的正交分解表示结构上的风作用

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The wind acting on the nodal points of a discretized structure is usually modeled as a Gaussian, stationery random vector whose components are correlated with each other according to characteristic patterns. Numerous techniques usually applied in structural dynamics require having the input constituted by a vector of independent random processes or even white noises. The application of such techniques in the wind-engineering context requires the introduction of suitable pre-filters to reproduce the exact correlation and harmonic content of the wind excitation. The present paper describes the development and the implementation of digital filters based on the Proper Orthogonal Decomposition of the wind turbulence. Two different approximated approaches are discussed and verified through numerical examples.
机译:通常将作用在离散结构的节点上的风建模为高斯文具随机矢量,其矢量根据特征模式相互关联。通常用于结构动力学的许多技术都要求输入由独立随机过程甚至白噪声的向量构成。此类技术在风力工程领域中的应用要求引入合适的预滤波器,以再现风力激励的精确相关性和谐波含量。本文介绍了基于风湍流的正确正交分解的数字滤波器的开发和实现。通过数值示例讨论并验证了两种不同的近似方法。

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