Utilizing the method of random composition of incomplete noisy data in the health monitoring of structures using the frequency response function

Health monitoring and damage detection of structures have always been one of the concerns of engineers and researchers.In the meantime, some structures are of vital importance at the national level of countries and their health should be evaluated periodically.In structural health monitoring, field measurement data of the existing structure is used to find the location and extent of failures.Field data are collected by installing measuring equipment in a limited number of structural degrees of freedom.These data are always associated with a percentage of error or noise.In this research, the ability of the random composition of measurement data in structural damage detection has been evaluated using the frequency response function.For this purpose, the developed method was applied to a high-voltage power transmission tower in different damage scenarios.The results show the high ability of this method to predict