淡江大學機構典藏:Item 987654321/104130
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    题名: Frequency-Domain Recursive Hybrid GA to the Identification of a Real Building
    作者: Wang, G. S.;Huang, Fu-Kuo
    日期: 2015-10-21
    上传时间: 2015-11-17 17:20:12 (UTC+8)
    摘要: In the implementation of the recursive hybrid genetic algorithm in the time domain, numerical integration is essential for solving the differential equation. This procedure may result in a huge amount of computational effort since it is required to apply so many times as long as the evolutionary process is proceeded. To accelerate the identification process, a recursive hybrid GA in the frequency domain is developed. The time history of the measurement is divided into a series of time intervals, and then the model of equivalent linear system is employed to identify the modal parameters of the system for each time interval. The differential equation can be transformed into the frequency domain by Fourier transform and the response in the frequency domain can be solved by algebraic equations instead of differentials equations. The process of exploring this new algorithm is similar to that of recursive hybrid genetic algorithm in the time domain, by using the simulated SDOF system and MDOF system considering noise contamination. Finally, this new strategy is also applied to the identification of areal building.
    關聯: The 5th Structural Engineers World Congress (SEWC 2015)
    显示于类别:[水資源及環境工程學系暨研究所] 會議論文

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