Optimization of beam and column sections for compliance drift of reinforced concrete buildings using Artificial Neural Networks
This article presents the application of Artificial Neural Networks (ANN) to estimate optimal sections of beams and reinforced concrete columns for symmetric framed buildings with 1-6 floors taking into consideration the minimum requirements of the NSR-10 related with drift and seismic design. It i...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Universidad de Antioquia
2014-02-01
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| Series: | Revista Facultad de Ingeniería Universidad de Antioquia |
| Subjects: | |
| Online Access: | https://revistas.udea.edu.co/index.php/ingenieria/article/view/16382 |
| _version_ | 1797861707956092928 |
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| author | Jorge Arcila Zea Carlos Alberto Riveros Jerez Javier Enrique Rivero Jerez |
| author_facet | Jorge Arcila Zea Carlos Alberto Riveros Jerez Javier Enrique Rivero Jerez |
| author_sort | Jorge Arcila Zea |
| collection | DOAJ |
| description |
This article presents the application of Artificial Neural Networks (ANN) to estimate optimal sections of beams and reinforced concrete columns for symmetric framed buildings with 1-6 floors taking into consideration the minimum requirements of the NSR-10 related with drift and seismic design. It is also studied the sensitivity of drift to the values of dimensions of beamsand columns providing a better understanding of this relationship in order to obtain optimal designs more quickly, easily and reliably as compared to current used procedures.
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| first_indexed | 2024-04-09T22:08:35Z |
| format | Article |
| id | doaj.art-ad840a62451f44749dd2cbc406080f89 |
| institution | Directory Open Access Journal |
| issn | 0120-6230 2422-2844 |
| language | English |
| last_indexed | 2024-04-09T22:08:35Z |
| publishDate | 2014-02-01 |
| publisher | Universidad de Antioquia |
| record_format | Article |
| series | Revista Facultad de Ingeniería Universidad de Antioquia |
| spelling | doaj.art-ad840a62451f44749dd2cbc406080f892023-03-23T12:33:04ZengUniversidad de AntioquiaRevista Facultad de Ingeniería Universidad de Antioquia0120-62302422-28442014-02-017010.17533/udea.redin.16382Optimization of beam and column sections for compliance drift of reinforced concrete buildings using Artificial Neural NetworksJorge Arcila Zea0Carlos Alberto Riveros Jerez1Javier Enrique Rivero Jerez2EAFIT UniversityUniversity of AntioquiaUniversity of Antioquia This article presents the application of Artificial Neural Networks (ANN) to estimate optimal sections of beams and reinforced concrete columns for symmetric framed buildings with 1-6 floors taking into consideration the minimum requirements of the NSR-10 related with drift and seismic design. It is also studied the sensitivity of drift to the values of dimensions of beamsand columns providing a better understanding of this relationship in order to obtain optimal designs more quickly, easily and reliably as compared to current used procedures. https://revistas.udea.edu.co/index.php/ingenieria/article/view/16382artificial neural networks (ANN)driftseismic designframed structuresoptimization |
| spellingShingle | Jorge Arcila Zea Carlos Alberto Riveros Jerez Javier Enrique Rivero Jerez Optimization of beam and column sections for compliance drift of reinforced concrete buildings using Artificial Neural Networks Revista Facultad de Ingeniería Universidad de Antioquia artificial neural networks (ANN) drift seismic design framed structures optimization |
| title | Optimization of beam and column sections for compliance drift of reinforced concrete buildings using Artificial Neural Networks |
| title_full | Optimization of beam and column sections for compliance drift of reinforced concrete buildings using Artificial Neural Networks |
| title_fullStr | Optimization of beam and column sections for compliance drift of reinforced concrete buildings using Artificial Neural Networks |
| title_full_unstemmed | Optimization of beam and column sections for compliance drift of reinforced concrete buildings using Artificial Neural Networks |
| title_short | Optimization of beam and column sections for compliance drift of reinforced concrete buildings using Artificial Neural Networks |
| title_sort | optimization of beam and column sections for compliance drift of reinforced concrete buildings using artificial neural networks |
| topic | artificial neural networks (ANN) drift seismic design framed structures optimization |
| url | https://revistas.udea.edu.co/index.php/ingenieria/article/view/16382 |
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