Damage detection for UHPFRC communication tower based on frequency data and particle swarm optimization
Advances in the telecommunication and broadcasting sectors have increased the need for networking equipment of communication towers. Slender structures, such as towers, are sensitive to dynamic loads, such as vibration forces. Therefore, the stability and reliability performance of towers can be mai...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Vilnius Gedinimas Technical University
2019
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| Online Access: | http://psasir.upm.edu.my/id/eprint/81075/1/DAMAGE.pdf |
| _version_ | 1825951381567045632 |
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| author | Gatea, Sarah Jabbar Hejazi, Farzad Hanoon, Ammar Nasiri Muhammad Rashid, Raizal Saifulnaz |
| author_facet | Gatea, Sarah Jabbar Hejazi, Farzad Hanoon, Ammar Nasiri Muhammad Rashid, Raizal Saifulnaz |
| author_sort | Gatea, Sarah Jabbar |
| collection | UPM |
| description | Advances in the telecommunication and broadcasting sectors have increased the need for networking equipment of communication towers. Slender structures, such as towers, are sensitive to dynamic loads, such as vibration forces. Therefore, the stability and reliability performance of towers can be maintained effectively through the prompt detection, localization, and quantification of structural damages by obtaining the dynamic frequency response of towers. However, frequency analysis for damaged structures requires long computational procedures and is difficult to perform because of the damages in real structures, particularly in towers. Therefore, this study proposed a correlation factor that can identify the relationship between frequenciesunderhealthy and damaged conditions of ultra high performance fiber-reinforced concrete (UHPFRC) communication towers using particle swarm optimization. The finite element method was implemented to simulate three UHPFRC communication towers, and an experimental test was conducted to validate and verify the developed correlation factor. |
| first_indexed | 2024-03-06T10:29:10Z |
| format | Article |
| id | upm.eprints-81075 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T10:29:10Z |
| publishDate | 2019 |
| publisher | Vilnius Gedinimas Technical University |
| record_format | dspace |
| spelling | upm.eprints-810752020-10-14T21:06:59Z http://psasir.upm.edu.my/id/eprint/81075/ Damage detection for UHPFRC communication tower based on frequency data and particle swarm optimization Gatea, Sarah Jabbar Hejazi, Farzad Hanoon, Ammar Nasiri Muhammad Rashid, Raizal Saifulnaz Advances in the telecommunication and broadcasting sectors have increased the need for networking equipment of communication towers. Slender structures, such as towers, are sensitive to dynamic loads, such as vibration forces. Therefore, the stability and reliability performance of towers can be maintained effectively through the prompt detection, localization, and quantification of structural damages by obtaining the dynamic frequency response of towers. However, frequency analysis for damaged structures requires long computational procedures and is difficult to perform because of the damages in real structures, particularly in towers. Therefore, this study proposed a correlation factor that can identify the relationship between frequenciesunderhealthy and damaged conditions of ultra high performance fiber-reinforced concrete (UHPFRC) communication towers using particle swarm optimization. The finite element method was implemented to simulate three UHPFRC communication towers, and an experimental test was conducted to validate and verify the developed correlation factor. Vilnius Gedinimas Technical University 2019 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/81075/1/DAMAGE.pdf Gatea, Sarah Jabbar and Hejazi, Farzad and Hanoon, Ammar Nasiri and Muhammad Rashid, Raizal Saifulnaz (2019) Damage detection for UHPFRC communication tower based on frequency data and particle swarm optimization. Journal of Civil Engineering and Management, 25 (6). pp. 495-517. ISSN 1392-3730; ESSN: 1822-3605 https://journals.vgtu.lt/index.php/JCEM/article/view/8002 10.3846/jcem.2019.8002 |
| spellingShingle | Gatea, Sarah Jabbar Hejazi, Farzad Hanoon, Ammar Nasiri Muhammad Rashid, Raizal Saifulnaz Damage detection for UHPFRC communication tower based on frequency data and particle swarm optimization |
| title | Damage detection for UHPFRC communication tower based on frequency data and particle swarm optimization |
| title_full | Damage detection for UHPFRC communication tower based on frequency data and particle swarm optimization |
| title_fullStr | Damage detection for UHPFRC communication tower based on frequency data and particle swarm optimization |
| title_full_unstemmed | Damage detection for UHPFRC communication tower based on frequency data and particle swarm optimization |
| title_short | Damage detection for UHPFRC communication tower based on frequency data and particle swarm optimization |
| title_sort | damage detection for uhpfrc communication tower based on frequency data and particle swarm optimization |
| url | http://psasir.upm.edu.my/id/eprint/81075/1/DAMAGE.pdf |
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