Wind-resistant structural optimization of irregular tall building using CFD and improved genetic algorithm for sustainable and cost-effective design
Tall buildings with irregular shapes and considerable heights are gaining popularity in creating the vertical cities around the world. They also considered one of the major energy consumers with little regards to sustainability. Tall building is wind-sensitive structure and shape plays major role in...
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Frontiers Media S.A.
2022-10-01
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Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2022.1017813/full |
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author | Fadi Alkhatib Narimah Kasim Shaker Qaidi Shaker Qaidi Hadee Mohammed Najm Mohanad Muayad Sabri Sabri |
author_facet | Fadi Alkhatib Narimah Kasim Shaker Qaidi Shaker Qaidi Hadee Mohammed Najm Mohanad Muayad Sabri Sabri |
author_sort | Fadi Alkhatib |
collection | DOAJ |
description | Tall buildings with irregular shapes and considerable heights are gaining popularity in creating the vertical cities around the world. They also considered one of the major energy consumers with little regards to sustainability. Tall building is wind-sensitive structure and shape plays major role in determining wind loads, which usually govern the design of its lateral resisting system. Thus, evaluating wind loads properly and designing an optimal lateral system accordingly are the main challenges attributed to the design process of irregular tall building. This paper presents a computational procedure for the optimal design of wind-resistant irregular tall building to minimize the total weight of structure within design requirements in single digital environment. That is achieved firstly by creating a digital system of computational fluid dynamic (CFD) analysis that is coupled with pressure-load translation (PLT) algorithm to evaluate the wind motions on irregular tall buildings and generate the design wind loads accordingly. Genetic Algorithm (GA) with enhance design constrains function of lateral displacements, inter-story drifts and top acceleration is then developed to perform structural optimization. A numerical example using 70-story twisting reinforced concrete building is implemented to verify the feasibility of the developed computational procedures. Steady and incompressible flow applied at (0°) angle of attack was implemented in the CFD model to simulate the wind flow on the studied building. Genetic algorithm with improved design constraints of static and dynamic design requirements was developed to optimize the structure effectively and efficiently. The numerical example demonstrates its effectiveness by achieving 35.71% reduction of concrete volume from the original lateral structural system design. This is also translated into a sustainability value by lessening the embedded carbon dioxide by 4,400 tons. |
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spelling | doaj.art-b6a3bfd3087e440d9b640019b2c79a002022-12-22T03:55:07ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2022-10-011010.3389/fenrg.2022.10178131017813Wind-resistant structural optimization of irregular tall building using CFD and improved genetic algorithm for sustainable and cost-effective designFadi Alkhatib0Narimah Kasim1Shaker Qaidi2Shaker Qaidi3Hadee Mohammed Najm4Mohanad Muayad Sabri Sabri5Department of Structural Engineering, Faculty of Civil Engineering and Built Environment, Universiti Tun Hussein Onn Malaysia (UTHM), Parit Raja, Johor, MalaysiaFaculty of Technology Management and Business, Universiti Tun Hussein Onn Malaysia (UTHM), Parit Raja, Johor, MalaysiaDepartment of Civil Engineering, College of Engineering, University of Duhok, Duhok, IraqDepartment of Civil Engineering, College of Engineering, Nawroz University, Duhok, IraqDepartment of Civil Engineering, Zakir Husain Engineering College, Aligarh Muslim University, Aligarh, IndiaWorld-class Research Center of Advanced Digital Technologies, Peter the Great St. Petersburg Polytechnic University, St. Petersburg, RussiaTall buildings with irregular shapes and considerable heights are gaining popularity in creating the vertical cities around the world. They also considered one of the major energy consumers with little regards to sustainability. Tall building is wind-sensitive structure and shape plays major role in determining wind loads, which usually govern the design of its lateral resisting system. Thus, evaluating wind loads properly and designing an optimal lateral system accordingly are the main challenges attributed to the design process of irregular tall building. This paper presents a computational procedure for the optimal design of wind-resistant irregular tall building to minimize the total weight of structure within design requirements in single digital environment. That is achieved firstly by creating a digital system of computational fluid dynamic (CFD) analysis that is coupled with pressure-load translation (PLT) algorithm to evaluate the wind motions on irregular tall buildings and generate the design wind loads accordingly. Genetic Algorithm (GA) with enhance design constrains function of lateral displacements, inter-story drifts and top acceleration is then developed to perform structural optimization. A numerical example using 70-story twisting reinforced concrete building is implemented to verify the feasibility of the developed computational procedures. Steady and incompressible flow applied at (0°) angle of attack was implemented in the CFD model to simulate the wind flow on the studied building. Genetic algorithm with improved design constraints of static and dynamic design requirements was developed to optimize the structure effectively and efficiently. The numerical example demonstrates its effectiveness by achieving 35.71% reduction of concrete volume from the original lateral structural system design. This is also translated into a sustainability value by lessening the embedded carbon dioxide by 4,400 tons.https://www.frontiersin.org/articles/10.3389/fenrg.2022.1017813/fullgenetic algorithmoptimizationwind-resistantcomputational fluid dynamiccomputational fluid dynamics modeling |
spellingShingle | Fadi Alkhatib Narimah Kasim Shaker Qaidi Shaker Qaidi Hadee Mohammed Najm Mohanad Muayad Sabri Sabri Wind-resistant structural optimization of irregular tall building using CFD and improved genetic algorithm for sustainable and cost-effective design Frontiers in Energy Research genetic algorithm optimization wind-resistant computational fluid dynamic computational fluid dynamics modeling |
title | Wind-resistant structural optimization of irregular tall building using CFD and improved genetic algorithm for sustainable and cost-effective design |
title_full | Wind-resistant structural optimization of irregular tall building using CFD and improved genetic algorithm for sustainable and cost-effective design |
title_fullStr | Wind-resistant structural optimization of irregular tall building using CFD and improved genetic algorithm for sustainable and cost-effective design |
title_full_unstemmed | Wind-resistant structural optimization of irregular tall building using CFD and improved genetic algorithm for sustainable and cost-effective design |
title_short | Wind-resistant structural optimization of irregular tall building using CFD and improved genetic algorithm for sustainable and cost-effective design |
title_sort | wind resistant structural optimization of irregular tall building using cfd and improved genetic algorithm for sustainable and cost effective design |
topic | genetic algorithm optimization wind-resistant computational fluid dynamic computational fluid dynamics modeling |
url | https://www.frontiersin.org/articles/10.3389/fenrg.2022.1017813/full |
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