A Two-Step Method for Damage Identification and Quantification in Large Trusses via Wavelet Transform and Optimization Algorithm

Mirzaei, Borhan; Nasrollahi, Kourosh; Yousefbeik, Seyedmohamadmahdi; Ghodrati Amiri, Gholamreza; Zare Hosseinzadeh, Ali

doi:10.22075/jrce.2017.11678.1197

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	A Two-Step Method for Damage Identification and Quantification in Large Trusses via Wavelet Transform and Optimization Algorithm
Journal of Rehabilitation in Civil Engineering
مقاله 1، دوره 7، شماره 1 - شماره پیاپی 13، اردیبهشت 2019، صفحه 1-20 اصل مقاله (1.32 M)
نوع مقاله: Regular Paper
شناسه دیجیتال (DOI): 10.22075/jrce.2017.11678.1197
نویسندگان
Borhan Mirzaei¹؛ Kourosh Nasrollahi¹؛ Seyedmohamadmahdi Yousefbeik¹؛ Gholamreza Ghodrati Amiri^* ²؛ Ali Zare Hosseinzadeh³
¹School of Civil Engineering, Iran University of Science and Technology, Tehran, Iran
²Center of Excellence for Fundamental Studies in Structural Engineering, School of Civil Engineering, Iran University of Science and Technology, P.O. Box 16765-163, Tehran, Iran
³Center of Excellence for Fundamental Studies in Structural Engineering, School of Civil Engineering, Iran University of Science &amp; Technology
تاریخ دریافت: 28 خرداد 1396، تاریخ بازنگری: 15 شهریور 1396، تاریخ پذیرش: 09 آبان 1396
چکیده
This paper suggests a two-step approach for damage prognosis in long trusses in which the first step deals with locating probable damages by wavelet transform (WT) and static deflection derived from modal data with the intention of declining the subsequent inverse problem variables. And in the second step, optimization based model updating method applying Artificial Bee Colony (ABC) algorithm will be employed to quantify the predicted damages within an inverse problem. Interestingly, it is indicated that the two-step method greatly aids in declining the number of variables of the model updating process resulting in more precise results and far less computational effort. Moreover, the method is found considerably effective especially for damage prognosis of large trusses. In this regard, two numerical examples including noisy data are contemplated to assess the efficacy of the method for real practical problems. Furthermore, the validity of the second step results is investigated applying other optimizers namely Invasive Weed Optimization (IWO) and Particle Swarm Optimization (PSO).
کلیدواژه‌ها
Structural Health Monitoring؛ Damage Detection؛ Wavelet Transform؛ Model Updating؛ Large Trusses

مراجع
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A Two-Step Method for Damage Identification and Quantification in Large Trusses via Wavelet Transform and Optimization Algorithm