Optimizing Support Locations in the Roof–Column Structural System
The roof–column structural system is utilized for many engineering and architectural applications due to its structural efficiency. However, it typically requires column locations to be predetermined, and involves a tedious trial-and-error adjusting process to fulfil both engineering and architectur...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-03-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/6/2775 |
| _version_ | 1797540709318787072 |
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| author | Xianchuan Meng Ting-Uei Lee Yulin Xiong Xiaodong Huang Yi Min Xie |
| author_facet | Xianchuan Meng Ting-Uei Lee Yulin Xiong Xiaodong Huang Yi Min Xie |
| author_sort | Xianchuan Meng |
| collection | DOAJ |
| description | The roof–column structural system is utilized for many engineering and architectural applications due to its structural efficiency. However, it typically requires column locations to be predetermined, and involves a tedious trial-and-error adjusting process to fulfil both engineering and architectural requirements. Finding efficient column distributions with the aid of computational methods, such as structural optimization, is an ongoing challenge. Existing methods are limited, with continuum methods involving the generation of undesired complex shapes, and discrete methods involving a time-consuming process for optimizing columns’ spatial order. This paper presents a new optimization method to design the distribution of a given number of vertical supporting columns under a roof structure. A computational algorithm was developed on the basis of the optimality-criterion (OC) method to preserve and removed candidate columns pre-embedded with design requirements. Three substrategies are presented to improve optimizer performance. The effectiveness of the new method was validated with a range of roof–column structural models. Treating column locations as design variables provides opportunities to significantly improve structural performance. |
| first_indexed | 2024-03-10T13:04:53Z |
| format | Article |
| id | doaj.art-7500f71d5a6a44e49371ad9903c9734f |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T13:04:53Z |
| publishDate | 2021-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-7500f71d5a6a44e49371ad9903c9734f2023-11-21T11:14:06ZengMDPI AGApplied Sciences2076-34172021-03-01116277510.3390/app11062775Optimizing Support Locations in the Roof–Column Structural SystemXianchuan Meng0Ting-Uei Lee1Yulin Xiong2Xiaodong Huang3Yi Min Xie4School of Architecture and Urban Planning, Nanjing University, Nanjing 210093, ChinaCentre for Innovative Structures and Materials, School of Engineering, RMIT University, Melbourne 3001, AustraliaCentre for Innovative Structures and Materials, School of Engineering, RMIT University, Melbourne 3001, AustraliaCentre of Translational Atomaterials, Faculty of Science, Engineering and Technology, Swinburne University of Technology, Hawthorn 3122, AustraliaCentre for Innovative Structures and Materials, School of Engineering, RMIT University, Melbourne 3001, AustraliaThe roof–column structural system is utilized for many engineering and architectural applications due to its structural efficiency. However, it typically requires column locations to be predetermined, and involves a tedious trial-and-error adjusting process to fulfil both engineering and architectural requirements. Finding efficient column distributions with the aid of computational methods, such as structural optimization, is an ongoing challenge. Existing methods are limited, with continuum methods involving the generation of undesired complex shapes, and discrete methods involving a time-consuming process for optimizing columns’ spatial order. This paper presents a new optimization method to design the distribution of a given number of vertical supporting columns under a roof structure. A computational algorithm was developed on the basis of the optimality-criterion (OC) method to preserve and removed candidate columns pre-embedded with design requirements. Three substrategies are presented to improve optimizer performance. The effectiveness of the new method was validated with a range of roof–column structural models. Treating column locations as design variables provides opportunities to significantly improve structural performance.https://www.mdpi.com/2076-3417/11/6/2775support locationsoptimizationroof–column systemcomputational algorithmfinite-element analysis |
| spellingShingle | Xianchuan Meng Ting-Uei Lee Yulin Xiong Xiaodong Huang Yi Min Xie Optimizing Support Locations in the Roof–Column Structural System Applied Sciences support locations optimization roof–column system computational algorithm finite-element analysis |
| title | Optimizing Support Locations in the Roof–Column Structural System |
| title_full | Optimizing Support Locations in the Roof–Column Structural System |
| title_fullStr | Optimizing Support Locations in the Roof–Column Structural System |
| title_full_unstemmed | Optimizing Support Locations in the Roof–Column Structural System |
| title_short | Optimizing Support Locations in the Roof–Column Structural System |
| title_sort | optimizing support locations in the roof column structural system |
| topic | support locations optimization roof–column system computational algorithm finite-element analysis |
| url | https://www.mdpi.com/2076-3417/11/6/2775 |
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