Visible Particle Series Search Algorithm and Its Application in Structural Damage Identification
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 vi...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-02-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/22/3/1275 |
| _version_ | 1797484554827595776 |
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| author | Pooya Mohebian Seyed Bahram Beheshti Aval Mohammad Noori Naiwei Lu Wael A. Altabey |
| author_facet | Pooya Mohebian Seyed Bahram Beheshti Aval Mohammad Noori Naiwei Lu Wael A. Altabey |
| author_sort | Pooya Mohebian |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T23:06:03Z |
| format | Article |
| id | doaj.art-94747fb051c645138fd9d9e590cae782 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T23:06:03Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-94747fb051c645138fd9d9e590cae7822023-11-23T17:53:20ZengMDPI AGSensors1424-82202022-02-01223127510.3390/s22031275Visible Particle Series Search Algorithm and Its Application in Structural Damage IdentificationPooya Mohebian0Seyed Bahram Beheshti Aval1Mohammad Noori2Naiwei Lu3Wael A. Altabey4Faculty of Civil Engineering, K. N. Toosi University of Technology, Tehran 196976-4499, IranFaculty of Civil Engineering, K. N. Toosi University of Technology, Tehran 196976-4499, IranDepartment of Mechanical Engineering, California Polytechnic State University, San Luis Obispo, CA 93405, USASchool of Civil Engineering, Changsha University of Science and Technology, Changsha 410076, ChinaInternational Institute for Urban Systems Engineering, Southeast University, Nanjing 210096, ChinaIdentifying 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.https://www.mdpi.com/1424-8220/22/3/1275structural damage identificationhealth monitoringoptimization methodmeta-heuristic algorithmvisible particle series search |
| spellingShingle | Pooya Mohebian Seyed Bahram Beheshti Aval Mohammad Noori Naiwei Lu Wael A. Altabey Visible Particle Series Search Algorithm and Its Application in Structural Damage Identification Sensors structural damage identification health monitoring optimization method meta-heuristic algorithm visible particle series search |
| title | Visible Particle Series Search Algorithm and Its Application in Structural Damage Identification |
| title_full | Visible Particle Series Search Algorithm and Its Application in Structural Damage Identification |
| title_fullStr | Visible Particle Series Search Algorithm and Its Application in Structural Damage Identification |
| title_full_unstemmed | Visible Particle Series Search Algorithm and Its Application in Structural Damage Identification |
| title_short | Visible Particle Series Search Algorithm and Its Application in Structural Damage Identification |
| title_sort | visible particle series search algorithm and its application in structural damage identification |
| topic | structural damage identification health monitoring optimization method meta-heuristic algorithm visible particle series search |
| url | https://www.mdpi.com/1424-8220/22/3/1275 |
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