Abstract
Identifying structural damage is an essential task for ensuring the safety and functionality of civil, mechanical, and aerospace structures. In this study, the structural damage identification scheme is formulated as an optimization problem, and a new meta-heuristic optimization algorithm, called visible particle series search (VPSS), is proposed to tackle that. The proposed VPSS algorithm is inspired by the visibility graph technique, which is a technique used basically to convert a time series into a graph network. In the proposed VPSS algorithm, the population of candidate solutions is regarded as a particle series and is further mapped into a visibility graph network to obtain visible particles. The information captured from the visible particles is then utilized by the algorithm to seek the optimum solution over the search space. The general performance of the proposed VPSS algorithm is first verified on a set of mathematical benchmark functions, and, afterward, its ability to identify structural damage is assessed by conducting various numerical simulations. The results demonstrate the high accuracy, reliability, and computational efficiency of the VPSS algorithm for identifying the location and the extent of damage in structures.
Highlights
Civil, aerospace, and mechanical structural systems may accumulate some local damage during their operational life as a consequence of different unfavorable conditions, such as excess loads, fatigue, corrosion, high intensity loads, or earthquake
In the context of optimization-based structural damage identification, the aim is to search for a set of damage parameters in such a way that an objective function defined as the differences between the actual and computed vibration data of the structure is minimized
The visibility graph network for the particle series is constructed according to the visibility graph theory, and the visible particles associated with each individual are to the visibility graph theory, and the visible particles associated with each individual are determined and utilized to evolve the population towards the optimum solution
Summary
Aerospace, and mechanical structural systems may accumulate some local damage during their operational life as a consequence of different unfavorable conditions, such as excess loads, fatigue, corrosion, high intensity loads, or earthquake. Du et al [46] adopted the Jaya algorithm to deal with the damage detection problem of truss and frame structures. Dinh-Cong et al [47] presented an optimization-based technique for damage identification in full-scale structures with the aid of an enhanced symbiotic organisms search (ESOS) algorithm and the commercial software SAP2000-OAPI. Mishra et al [49] conducted damage identification of large-scale spatial truss structures by employing teaching–learning-based optimization (TLBO). Beheshti Aval and Mohebian [53] proposed a method for the joint damage identification of frame structures by employing the equilibrium optimizer (EO) algorithm. There is always a need to devise new optimization algorithms With these points in mind, the present study proposes a novel optimization algorithm called visible particle series search (VPSS) to address the structural damage identification problem.
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