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Utilizing surrogate models based on artificial intelligence methods for detecting structural damages has attracted the attention of many researchers in recent decades. In this study, a new kernel based on Littlewood-Paley Wavelet (LPW) is proposed for Extreme Learning Machine (ELM) algorithm to improve the accuracy of detecting multiple damages in structural systems. ELM is used as metamodel (surrogate model) of exact finite element analysis of structures in order to efficiently reduce * :يكينورتكلا تسپ ،تابتاكم لوئسم : rghiasi.s@gmail.com D ow nl oa de d fr om jc m e. iu t.a c. ir at 3 :5 8 IR S T o n W ed ne sd ay M ar ch 4 th 2 02 0 [ D O I: 10 .1 88 69 /a ca dp ub .jc m e. 36 .1 .1 ]

Structural Damage Detection using Frequency Response Function Index and Surrogate Model Based on Optimized Extreme Learning Machine Algorithm