Abstract
For the damage identification technique of civil structures, the reduction of the computational cost for methods based on the optimization algorithms is the most crucial step. In this study, a fast multi-stage method is developed that uses the multiple damage location assurance criterion and an improved differential evolution algorithm. In the new method, the suitable damage range is selected in different stages to reduce the computational cost of structural analysis. Five mutation operators are analysized not only in the basic differential evolution algorithm but also in the improved one. A new adaptive scaling factor with a segmented function is proposed which can operate the decay rate to avoid the premature phenomenon. The results of the study show that the precise locations and extents of structural damage are successfully realized. It is also shown that the multi-stage method using the improved differential evolution algorithm is substantially faster as compared to the basic one and can be used as an efficient and powerful measure of structural damage identification.
Highlights
Civil engineering structures have always been susceptible to various kinds of damage during their service life due to environmental, operational and human-induced factors
The basic idea of the vibration-based damage identification approaches is that the changes in the physical properties due to damage will be reflected in modal proprerties
This paper makes an effort to further reduce the computational cost of detecting damage sites and extents of civil engineering structures by proposing a multi-stage method with multiple damage location assurance criterion (MDLAC) and an improved differential evolution (IDE) algorithm
Summary
Civil engineering structures have always been susceptible to various kinds of damage during their service life due to environmental, operational and human-induced factors. The damage identification as an inverse problem can be realized by detecting the changes of modal properties before and after damage by using the finite element model and given limited modal data measured from a real structure Reviews of these methods can be found in. The expensive computational cost and the invalid for dealing with large civil engineering structures of the optimization algorithms still need to be addressed eagerly Phased approaches such as two-step and multi-stage methods using in detecting both the damage location and extent have been employed to reduce the expensive computational cost. This paper makes an effort to further reduce the computational cost of detecting damage sites and extents of civil engineering structures by proposing a multi-stage method with multiple damage location assurance criterion (MDLAC) and an improved differential evolution (IDE) algorithm.
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