Estimating the Optimum Weight for Latticed Power-Transmission Towers Using Different (AI) Techniques
The recent expansion of power-distribution networks has motivated many researchers to study how to minimize the costs of such projects. Although transmission towers present one of the main items in the network that greatly affect the project budget, there are no clear criteria or recommendations to...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-07-01
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| Series: | Designs |
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| Online Access: | https://www.mdpi.com/2411-9660/6/4/62 |
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| author | Ahmed M. Ebid Mohamed A. El-Aghoury Kennedy C. Onyelowe |
| author_facet | Ahmed M. Ebid Mohamed A. El-Aghoury Kennedy C. Onyelowe |
| author_sort | Ahmed M. Ebid |
| collection | DOAJ |
| description | The recent expansion of power-distribution networks has motivated many researchers to study how to minimize the costs of such projects. Although transmission towers present one of the main items in the network that greatly affect the project budget, there are no clear criteria or recommendations to select the optimum bracing system that minimizes the tower weight. This research presents recommendations to select the optimum configurations for latticed power-transmission towers, segment by segment, for certain loads, as well as the aspect ratio. The research started by generating a database with different segment configurations and their weights, and then three of the most famous AI techniques (GP, ANN and EPR) were used to generate models to calculate the weights of the segments. Studying these models led to the conclusion that K-shape bracing is better that X-shape bracing for segments with aspect ratios (H/B) less than 1.0. The generated models and conclusions were verified by using existing tower designs. |
| first_indexed | 2024-03-09T13:36:24Z |
| format | Article |
| id | doaj.art-c3c0cb69e01a40a5b83cb44548882a98 |
| institution | Directory Open Access Journal |
| issn | 2411-9660 |
| language | English |
| last_indexed | 2024-03-09T13:36:24Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Designs |
| spelling | doaj.art-c3c0cb69e01a40a5b83cb44548882a982023-11-30T21:12:02ZengMDPI AGDesigns2411-96602022-07-01646210.3390/designs6040062Estimating the Optimum Weight for Latticed Power-Transmission Towers Using Different (AI) TechniquesAhmed M. Ebid0Mohamed A. El-Aghoury1Kennedy C. Onyelowe2Faculty of Engineering & Technology, Future University in Egypt, Cairo 11835, EgyptFaculty of Engineering, Ain Shams University, Cairo 11566, EgyptDepartment of Civil and Mechanical Engineering, Kampala International University, Kampala 25454, UgandaThe recent expansion of power-distribution networks has motivated many researchers to study how to minimize the costs of such projects. Although transmission towers present one of the main items in the network that greatly affect the project budget, there are no clear criteria or recommendations to select the optimum bracing system that minimizes the tower weight. This research presents recommendations to select the optimum configurations for latticed power-transmission towers, segment by segment, for certain loads, as well as the aspect ratio. The research started by generating a database with different segment configurations and their weights, and then three of the most famous AI techniques (GP, ANN and EPR) were used to generate models to calculate the weights of the segments. Studying these models led to the conclusion that K-shape bracing is better that X-shape bracing for segments with aspect ratios (H/B) less than 1.0. The generated models and conclusions were verified by using existing tower designs.https://www.mdpi.com/2411-9660/6/4/62transmission towerGPANNEPRbracing systemdesign optimization |
| spellingShingle | Ahmed M. Ebid Mohamed A. El-Aghoury Kennedy C. Onyelowe Estimating the Optimum Weight for Latticed Power-Transmission Towers Using Different (AI) Techniques Designs transmission tower GP ANN EPR bracing system design optimization |
| title | Estimating the Optimum Weight for Latticed Power-Transmission Towers Using Different (AI) Techniques |
| title_full | Estimating the Optimum Weight for Latticed Power-Transmission Towers Using Different (AI) Techniques |
| title_fullStr | Estimating the Optimum Weight for Latticed Power-Transmission Towers Using Different (AI) Techniques |
| title_full_unstemmed | Estimating the Optimum Weight for Latticed Power-Transmission Towers Using Different (AI) Techniques |
| title_short | Estimating the Optimum Weight for Latticed Power-Transmission Towers Using Different (AI) Techniques |
| title_sort | estimating the optimum weight for latticed power transmission towers using different ai techniques |
| topic | transmission tower GP ANN EPR bracing system design optimization |
| url | https://www.mdpi.com/2411-9660/6/4/62 |
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