Semnan University Press Journal of Rehabilitation in Civil Engineering 2345-4415 7 1 2019 02 01 A Two-Step Method for Damage Identification and Quantification in Large Trusses via Wavelet Transform and Optimization Algorithm 1 20 2731 10.22075/jrce.2017.11678.1197 EN Borhan Mirzaei School of Civil Engineering, Iran University of Science and Technology, Tehran, Iran Kourosh Nasrollahi School of Civil Engineering, Iran University of Science and Technology, Tehran, Iran Seyedmohamadmahdi Yousefbeik School of Civil Engineering, Iran University of Science and Technology, Tehran, Iran Gholamreza Ghodrati Amiri Center 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 Ali Zare Hosseinzadeh Center of Excellence for Fundamental Studies in Structural Engineering, School of Civil Engineering, Iran University of Science & Technology Journal Article 2017 06 18 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). https://civiljournal.semnan.ac.ir/article_2731_8ea2c0942001ec71d10e9c52daecaf5f.pdf