These VBDD techniques can be roughly classified into two categories: non-model (data-driven) based methods and model-based methods. Among all available strategies, vibration-based damage diagnosis (VBDD) techniques have been considered as the most attractive ones. Thus, a great deal of attention has been paid to researchers on innovative technologies and techniques for structural damage localization and quantification. In an SHM system, predicting the location and the magnitude of structural damage is one of the most fundamental tasks.
With the general goal of maintaining civil and mechanical engineering structures safely and efficiently, a considerable amount of effort has been devoted to the development of structural health monitoring (SHM) systems during the last few decades. Finally, the numerical investigations on two full-scale structures with considering measurement noise and sparse measured data demonstrate the feasibility of the proposed technique in predicting the actual damage sites and their severities. To perform the iterative optimization task automatically, a link between MATLAB and SAP2000 is created by using the OAPI feature of SAP2000. An improved version of SOS algorithm, called ESOS algorithm, is adopted to solve this optimization problem for detecting and quantifying any stiffness degradation induced by damage. Then, the damage assessment of the structure is set up in the form of an optimization problem in which the objective function is established based on a combination of flexibility matrix and modal assurance criterion (MAC). First, to overcome the complexities of FE simulation, the FE model of monitored structure is built in SAP2000 software for analyzing the dynamic behavior of the structure. In this regard, the present article proposes a FE model updating technique based on the existing commercial software SAP2000-OAPI and an enhanced symbiotic organisms search (ESOS) algorithm for damage assessment of full-scale structures. Although many existing damage diagnosis techniques based on the combination of optimization algorithms and finite element model updating have been studied and demonstrated to be promising, there are still some limitations that need to be improved to enhance their performance for the large and complex structures.
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