Genetic Algorithm Approach for Modeling the Structural Global Stiffness
In recent decades, Artificial Intelligence (AI) has become an essential tool for modeling and forecasting in different research fields. Mechanical engineering is no exception because practical problems that classical methods can hardly solve can receive more efficient solutions using AI. Given a sup...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-06-01
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| Series: | Engineering Proceedings |
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| Online Access: | https://www.mdpi.com/2673-4591/39/1/32 |
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| author | Cristian Ștefan Dumitriu Ștefan Mocanu Radu Panaitescu Anca Ruxandra Sasu Oana Tonciu |
| author_facet | Cristian Ștefan Dumitriu Ștefan Mocanu Radu Panaitescu Anca Ruxandra Sasu Oana Tonciu |
| author_sort | Cristian Ștefan Dumitriu |
| collection | DOAJ |
| description | In recent decades, Artificial Intelligence (AI) has become an essential tool for modeling and forecasting in different research fields. Mechanical engineering is no exception because practical problems that classical methods can hardly solve can receive more efficient solutions using AI. Given a support scheme of a structural system, the article aims to determine the maximum stiffness of the system based on the series of moments’ variation for a variable dimensional parameter of the support. The series represents the input for a Gene Expression Programming (GEP) aiming to determine the model for a specific geometric parameter in mechanical structures, namely, deflection. |
| first_indexed | 2024-03-10T22:48:32Z |
| format | Article |
| id | doaj.art-b17ba4bbd665463cad40704fe7379a68 |
| institution | Directory Open Access Journal |
| issn | 2673-4591 |
| language | English |
| last_indexed | 2024-03-10T22:48:32Z |
| publishDate | 2023-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Engineering Proceedings |
| spelling | doaj.art-b17ba4bbd665463cad40704fe7379a682023-11-19T10:30:38ZengMDPI AGEngineering Proceedings2673-45912023-06-013913210.3390/engproc2023039032Genetic Algorithm Approach for Modeling the Structural Global StiffnessCristian Ștefan Dumitriu0Ștefan Mocanu1Radu Panaitescu2Anca Ruxandra Sasu3Oana Tonciu4Department of Machines and Advanced Technologies in Construction, Faculty of Mechanical Engineering and Robotics in Construction, Technical University of Civil Engineering of Bucharest, 122-124 Lacul Tei Bd., 020396 Bucharest, RomaniaDepartment of Machines and Advanced Technologies in Construction, Faculty of Mechanical Engineering and Robotics in Construction, Technical University of Civil Engineering of Bucharest, 122-124 Lacul Tei Bd., 020396 Bucharest, RomaniaDepartment of Machines and Advanced Technologies in Construction, Faculty of Mechanical Engineering and Robotics in Construction, Technical University of Civil Engineering of Bucharest, 122-124 Lacul Tei Bd., 020396 Bucharest, RomaniaDepartment of Machines and Advanced Technologies in Construction, Faculty of Mechanical Engineering and Robotics in Construction, Technical University of Civil Engineering of Bucharest, 122-124 Lacul Tei Bd., 020396 Bucharest, RomaniaDepartment of Machines and Advanced Technologies in Construction, Faculty of Mechanical Engineering and Robotics in Construction, Technical University of Civil Engineering of Bucharest, 122-124 Lacul Tei Bd., 020396 Bucharest, RomaniaIn recent decades, Artificial Intelligence (AI) has become an essential tool for modeling and forecasting in different research fields. Mechanical engineering is no exception because practical problems that classical methods can hardly solve can receive more efficient solutions using AI. Given a support scheme of a structural system, the article aims to determine the maximum stiffness of the system based on the series of moments’ variation for a variable dimensional parameter of the support. The series represents the input for a Gene Expression Programming (GEP) aiming to determine the model for a specific geometric parameter in mechanical structures, namely, deflection.https://www.mdpi.com/2673-4591/39/1/32Gene Expression Programming (GEP)stiffnessstructure deflectionmodeling |
| spellingShingle | Cristian Ștefan Dumitriu Ștefan Mocanu Radu Panaitescu Anca Ruxandra Sasu Oana Tonciu Genetic Algorithm Approach for Modeling the Structural Global Stiffness Engineering Proceedings Gene Expression Programming (GEP) stiffness structure deflection modeling |
| title | Genetic Algorithm Approach for Modeling the Structural Global Stiffness |
| title_full | Genetic Algorithm Approach for Modeling the Structural Global Stiffness |
| title_fullStr | Genetic Algorithm Approach for Modeling the Structural Global Stiffness |
| title_full_unstemmed | Genetic Algorithm Approach for Modeling the Structural Global Stiffness |
| title_short | Genetic Algorithm Approach for Modeling the Structural Global Stiffness |
| title_sort | genetic algorithm approach for modeling the structural global stiffness |
| topic | Gene Expression Programming (GEP) stiffness structure deflection modeling |
| url | https://www.mdpi.com/2673-4591/39/1/32 |
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