Determination of Damage in Reinforced Concrete Frames with Shear Walls Using Self-Organizing Feature Map
The paper presents the use of a self-organizing feature map (SOFM) for determining damage in reinforced concrete frames with shear walls. For this purpose, a concrete frame with a shear wall was subjected to nonlinear dynamic analysis. The SOFM was optimized using the genetic algorithm (GA) in order...
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | Applied Computational Intelligence and Soft Computing |
| Online Access: | http://dx.doi.org/10.1155/2017/3508189 |
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| author | Mehdi Nikoo Łukasz Sadowski Faezehossadat Khademi Mohammad Nikoo |
| author_facet | Mehdi Nikoo Łukasz Sadowski Faezehossadat Khademi Mohammad Nikoo |
| author_sort | Mehdi Nikoo |
| collection | DOAJ |
| description | The paper presents the use of a self-organizing feature map (SOFM) for determining damage in reinforced concrete frames with shear walls. For this purpose, a concrete frame with a shear wall was subjected to nonlinear dynamic analysis. The SOFM was optimized using the genetic algorithm (GA) in order to determine the number of layers, number of nodes in the hidden layer, transfer function type, and learning algorithm. The obtained model was compared with linear regression (LR) and nonlinear regression (NonLR) models and also the radial basis function (RBF) of a neural network. It was concluded that the SOFM, when optimized with the GA, has more strength, flexibility, and accuracy. |
| format | Article |
| id | doaj-art-6ef73c3b83984db2ad79f1c02debf5b0 |
| institution | Kabale University |
| issn | 1687-9724 1687-9732 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Applied Computational Intelligence and Soft Computing |
| spelling | doaj-art-6ef73c3b83984db2ad79f1c02debf5b02025-02-03T01:02:02ZengWileyApplied Computational Intelligence and Soft Computing1687-97241687-97322017-01-01201710.1155/2017/35081893508189Determination of Damage in Reinforced Concrete Frames with Shear Walls Using Self-Organizing Feature MapMehdi Nikoo0Łukasz Sadowski1Faezehossadat Khademi2Mohammad Nikoo3Young Researchers and Elite Club, Ahvaz Branch, Islamic Azad University, Ahvaz, IranFaculty of Civil Engineering, Wroclaw University of Science and Technology, Wybrzeze Wyspianskiego 27, 50-370 Wroclaw, PolandCivil and Environmental Engineering Department, Illinois Institute of Technology, Chicago, IL 60616, USASAMA Technical and Vocational Training College, Islamic Azad University, Ahvaz Branch, Ahvaz, IranThe paper presents the use of a self-organizing feature map (SOFM) for determining damage in reinforced concrete frames with shear walls. For this purpose, a concrete frame with a shear wall was subjected to nonlinear dynamic analysis. The SOFM was optimized using the genetic algorithm (GA) in order to determine the number of layers, number of nodes in the hidden layer, transfer function type, and learning algorithm. The obtained model was compared with linear regression (LR) and nonlinear regression (NonLR) models and also the radial basis function (RBF) of a neural network. It was concluded that the SOFM, when optimized with the GA, has more strength, flexibility, and accuracy.http://dx.doi.org/10.1155/2017/3508189 |
| spellingShingle | Mehdi Nikoo Łukasz Sadowski Faezehossadat Khademi Mohammad Nikoo Determination of Damage in Reinforced Concrete Frames with Shear Walls Using Self-Organizing Feature Map Applied Computational Intelligence and Soft Computing |
| title | Determination of Damage in Reinforced Concrete Frames with Shear Walls Using Self-Organizing Feature Map |
| title_full | Determination of Damage in Reinforced Concrete Frames with Shear Walls Using Self-Organizing Feature Map |
| title_fullStr | Determination of Damage in Reinforced Concrete Frames with Shear Walls Using Self-Organizing Feature Map |
| title_full_unstemmed | Determination of Damage in Reinforced Concrete Frames with Shear Walls Using Self-Organizing Feature Map |
| title_short | Determination of Damage in Reinforced Concrete Frames with Shear Walls Using Self-Organizing Feature Map |
| title_sort | determination of damage in reinforced concrete frames with shear walls using self organizing feature map |
| url | http://dx.doi.org/10.1155/2017/3508189 |
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