A multi-objective optimization approach to optimal sensor placement of irregular LSF structures
In recent years, lightweight steel framed (LSF) structures are designed to resist fire, earthquakes, and storm events. This system has entered the field of construction due to advantages of light members. Based on these advantages, such a system is also used for buildings with special importance. St...
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| Format: | Article |
| Language: | English |
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K. N. Toosi University of Technology
2021-02-01
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| Series: | Numerical Methods in Civil Engineering |
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| Online Access: | https://nmce.kntu.ac.ir/article_160517_6be44558e0f744bfaa9e24b20f8a4553.pdf |
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| author | Mohammad Reza Hamedi Masoud Mohammadgholiha Hamid Reza Vosoughifar Nadia Hamedi |
| author_facet | Mohammad Reza Hamedi Masoud Mohammadgholiha Hamid Reza Vosoughifar Nadia Hamedi |
| author_sort | Mohammad Reza Hamedi |
| collection | DOAJ |
| description | In recent years, lightweight steel framed (LSF) structures are designed to resist fire, earthquakes, and storm events. This system has entered the field of construction due to advantages of light members. Based on these advantages, such a system is also used for buildings with special importance. Structural health monitoring (SHM) implements a damage detection and characterization strategy for engineering structures. In the present study, a multi-objective numerical method for optimal sensor placement based on the combination of Modal Assurance Criteria (MAC) and maximum stress has been proposed. Genetic Algorithm (GA) was employed to determine the location of sensors on the structure based on the structural dynamic response of the LSF system. To show the efficiency of the proposed method, a very large irregular museum building, which was built by using LSF system, has been considered. To improve the proposed method, dominant frequencies are identified and the number of sensors is decreased using the Fourier Transform (FT) of the ground motions time history. Results show that the proposed method can provide the optimal sensor locations and remarkably reduce the number of required sensors and also improve their optimum location. |
| format | Article |
| id | doaj-art-c8450bf86eb34ead947c62c9dd5df0f8 |
| institution | DOAJ |
| issn | 2345-4296 2783-3941 |
| language | English |
| publishDate | 2021-02-01 |
| publisher | K. N. Toosi University of Technology |
| record_format | Article |
| series | Numerical Methods in Civil Engineering |
| spelling | doaj-art-c8450bf86eb34ead947c62c9dd5df0f82025-08-20T02:52:11ZengK. N. Toosi University of TechnologyNumerical Methods in Civil Engineering2345-42962783-39412021-02-0153132210.52547/nmce.5.3.13160517A multi-objective optimization approach to optimal sensor placement of irregular LSF structuresMohammad Reza Hamedi0Masoud Mohammadgholiha1Hamid Reza Vosoughifar2Nadia Hamedi3Ph.D. Student, Department of Civil Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.Ph.D. student, Department of Electrical, Electronic, and Information Engineering, University of Bologna, Bologna, Italy.Associate professor, Department of Civil Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.Graduate Student, Department of Architecture, Qazvin Branch, Islamic Azad University, Qazvin, Iran.In recent years, lightweight steel framed (LSF) structures are designed to resist fire, earthquakes, and storm events. This system has entered the field of construction due to advantages of light members. Based on these advantages, such a system is also used for buildings with special importance. Structural health monitoring (SHM) implements a damage detection and characterization strategy for engineering structures. In the present study, a multi-objective numerical method for optimal sensor placement based on the combination of Modal Assurance Criteria (MAC) and maximum stress has been proposed. Genetic Algorithm (GA) was employed to determine the location of sensors on the structure based on the structural dynamic response of the LSF system. To show the efficiency of the proposed method, a very large irregular museum building, which was built by using LSF system, has been considered. To improve the proposed method, dominant frequencies are identified and the number of sensors is decreased using the Fourier Transform (FT) of the ground motions time history. Results show that the proposed method can provide the optimal sensor locations and remarkably reduce the number of required sensors and also improve their optimum location.https://nmce.kntu.ac.ir/article_160517_6be44558e0f744bfaa9e24b20f8a4553.pdfoptimal sensor placement (osp)lightweight steel framing (lsf)structural health monitoring (shm)mac criteria |
| spellingShingle | Mohammad Reza Hamedi Masoud Mohammadgholiha Hamid Reza Vosoughifar Nadia Hamedi A multi-objective optimization approach to optimal sensor placement of irregular LSF structures Numerical Methods in Civil Engineering optimal sensor placement (osp) lightweight steel framing (lsf) structural health monitoring (shm) mac criteria |
| title | A multi-objective optimization approach to optimal sensor placement of irregular LSF structures |
| title_full | A multi-objective optimization approach to optimal sensor placement of irregular LSF structures |
| title_fullStr | A multi-objective optimization approach to optimal sensor placement of irregular LSF structures |
| title_full_unstemmed | A multi-objective optimization approach to optimal sensor placement of irregular LSF structures |
| title_short | A multi-objective optimization approach to optimal sensor placement of irregular LSF structures |
| title_sort | multi objective optimization approach to optimal sensor placement of irregular lsf structures |
| topic | optimal sensor placement (osp) lightweight steel framing (lsf) structural health monitoring (shm) mac criteria |
| url | https://nmce.kntu.ac.ir/article_160517_6be44558e0f744bfaa9e24b20f8a4553.pdf |
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