An innovative multi-objective optimization approach for compact concrete-filled steel tubular (CFST) column design utilizing lightweight high-strength concrete
Incorporating sustainability into Concrete-Filled Steel Tubular (CFST) columns' optimization can enhance efficiency and sustainability in construction. Discrepancies in international standards for ultimate load capacity computation in compact CFST columns under eccentric loading, particularly w...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2024-05-01
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| Series: | International Journal of Lightweight Materials and Manufacture |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2588840424000106 |
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| author | Iman Faridmehr Moncef L. Nehdi Ali Farokhi Nejad Mohammad Ali Sahraei Hesam Kamyab Kiyanets Aleksandr Valerievich |
| author_facet | Iman Faridmehr Moncef L. Nehdi Ali Farokhi Nejad Mohammad Ali Sahraei Hesam Kamyab Kiyanets Aleksandr Valerievich |
| author_sort | Iman Faridmehr |
| collection | DOAJ |
| description | Incorporating sustainability into Concrete-Filled Steel Tubular (CFST) columns' optimization can enhance efficiency and sustainability in construction. Discrepancies in international standards for ultimate load capacity computation in compact CFST columns under eccentric loading, particularly with lightweight high-strength concrete, pose challenges. This research compile a dataset of compact CFST columns, evaluating design codes (AISC 360-16, Eurocode 4) against experimental results. Besides, a comprehensive finite-element model predicts compact CFST column performance, investigating axial force-moment (P-M) interaction behavior with respect to the material strength ratio (fy/fc′). In the second phase of the study, an ANN model, incorporating input parameters, estimates axial load capacity, facilitating multi-objective optimization for optimal CFST column geometry. The results confirmed that Eurocode 4 outperforms AISC 360-16 in experimental axial capacity predictions (Nuc/Nuc,theoretical) where, the mean and standard deviation for Eurocode 4 were estimated at 1.07 and 0.22, respectively, compared to 1.21 and 0.29 for AISC 360-16. Besides, statistical metrics confirm the precision of the ANN model, particularly with high-strength concrete, promising efficiency in future computational intelligence-based structural design platforms. |
| first_indexed | 2024-04-25T01:12:37Z |
| format | Article |
| id | doaj.art-8784b8c1ef6c4857b73b34ec4522e4bf |
| institution | Directory Open Access Journal |
| issn | 2588-8404 |
| language | English |
| last_indexed | 2025-03-22T03:28:25Z |
| publishDate | 2024-05-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | International Journal of Lightweight Materials and Manufacture |
| spelling | doaj.art-8784b8c1ef6c4857b73b34ec4522e4bf2024-04-29T04:14:45ZengKeAi Communications Co., Ltd.International Journal of Lightweight Materials and Manufacture2588-84042024-05-0173405425An innovative multi-objective optimization approach for compact concrete-filled steel tubular (CFST) column design utilizing lightweight high-strength concreteIman Faridmehr0Moncef L. Nehdi1Ali Farokhi Nejad2Mohammad Ali Sahraei3Hesam Kamyab4Kiyanets Aleksandr Valerievich5Civil Engineering Department, Faculty of Engineering, Girne American University, N. Cyprus Via Mersin 10, TurkeyDepartment of Civil Engineering, McMaster University, Hamilton, ON L8S 4M6, Canada; Corresponding author.Faculty of Engineering, School of Mechanical Engineering, Universiti Teknologi Malaysia (UTM), Johor Bahru 81310, MalaysiaDepartment of Civil Engineering, College of Engineering, University of Buraimi, Al Buraimi 512, OmanFaculty of Architecture and Urbanism, UTE University, Calle Rumipamba S/N and Bourgeois, Quito, Ecuador; Department of Biomaterials, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai, 600 077, IndiaCivil Engineering Department, Faculty of Engineering, Girne American University, N. Cyprus Via Mersin 10, Turkey; Department of Civil Engineering, McMaster University, Hamilton, ON L8S 4M6, Canada; Faculty of Engineering, School of Mechanical Engineering, Universiti Teknologi Malaysia (UTM), Johor Bahru 81310, Malaysia; Department of Civil Engineering, College of Engineering, University of Buraimi, Al Buraimi 512, Oman; Faculty of Architecture and Urbanism, UTE University, Calle Rumipamba S/N and Bourgeois, Quito, Ecuador; Department of Biomaterials, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai, 600 077, India; Faculty of Social Sciences, Media and Communication, University of Religions and Denominations, Pardisan, Qom, Iran; South Ural State University, 454080 Chelyabinsk, Lenin Prospect 76, Russian Federation, RussiaIncorporating sustainability into Concrete-Filled Steel Tubular (CFST) columns' optimization can enhance efficiency and sustainability in construction. Discrepancies in international standards for ultimate load capacity computation in compact CFST columns under eccentric loading, particularly with lightweight high-strength concrete, pose challenges. This research compile a dataset of compact CFST columns, evaluating design codes (AISC 360-16, Eurocode 4) against experimental results. Besides, a comprehensive finite-element model predicts compact CFST column performance, investigating axial force-moment (P-M) interaction behavior with respect to the material strength ratio (fy/fc′). In the second phase of the study, an ANN model, incorporating input parameters, estimates axial load capacity, facilitating multi-objective optimization for optimal CFST column geometry. The results confirmed that Eurocode 4 outperforms AISC 360-16 in experimental axial capacity predictions (Nuc/Nuc,theoretical) where, the mean and standard deviation for Eurocode 4 were estimated at 1.07 and 0.22, respectively, compared to 1.21 and 0.29 for AISC 360-16. Besides, statistical metrics confirm the precision of the ANN model, particularly with high-strength concrete, promising efficiency in future computational intelligence-based structural design platforms.http://www.sciencedirect.com/science/article/pii/S2588840424000106Reinforced concreteCFST columnCompositeFinite element modelingArtificial intelligenceMulti-objective optimization |
| spellingShingle | Iman Faridmehr Moncef L. Nehdi Ali Farokhi Nejad Mohammad Ali Sahraei Hesam Kamyab Kiyanets Aleksandr Valerievich An innovative multi-objective optimization approach for compact concrete-filled steel tubular (CFST) column design utilizing lightweight high-strength concrete International Journal of Lightweight Materials and Manufacture Reinforced concrete CFST column Composite Finite element modeling Artificial intelligence Multi-objective optimization |
| title | An innovative multi-objective optimization approach for compact concrete-filled steel tubular (CFST) column design utilizing lightweight high-strength concrete |
| title_full | An innovative multi-objective optimization approach for compact concrete-filled steel tubular (CFST) column design utilizing lightweight high-strength concrete |
| title_fullStr | An innovative multi-objective optimization approach for compact concrete-filled steel tubular (CFST) column design utilizing lightweight high-strength concrete |
| title_full_unstemmed | An innovative multi-objective optimization approach for compact concrete-filled steel tubular (CFST) column design utilizing lightweight high-strength concrete |
| title_short | An innovative multi-objective optimization approach for compact concrete-filled steel tubular (CFST) column design utilizing lightweight high-strength concrete |
| title_sort | innovative multi objective optimization approach for compact concrete filled steel tubular cfst column design utilizing lightweight high strength concrete |
| topic | Reinforced concrete CFST column Composite Finite element modeling Artificial intelligence Multi-objective optimization |
| url | http://www.sciencedirect.com/science/article/pii/S2588840424000106 |
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