A FE model updating technique based on SAP2000-OAPI and enhanced SOS 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 comple...

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Bibliographic Details
Published inApplied soft computing Vol. 89; p. 106100
Main Authors Dinh-Cong, D., Nguyen-Thoi, T., Nguyen, Duc T.
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.04.2020
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ISSN1568-4946
1872-9681
DOI10.1016/j.asoc.2020.106100

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Summary: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. 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. 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. 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). 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. To perform the iterative optimization task automatically, a link between MATLAB and SAP2000 is created by using the OAPI feature of SAP2000. 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. [Display omitted] •A FE model updating technique based on a commercial software SAP2000-OAPI and ESOS algorithm is proposed.•The proposed technique is implemented for damage assessment of full-scale structures.•The influence of spatially-incomplete measurements with noise contamination is taken into account.•Only the first five modes are sufficient to solve the damage detection problems successfully.•The ESOS algorithm is found to be efficient for the purpose of incorporating with FE model updating.
ISSN:1568-4946
1872-9681
DOI:10.1016/j.asoc.2020.106100