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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Main Authors: Fadi Alkhatib, Narimah Kasim, Shaker Qaidi, Hadee Mohammed Najm, Mohanad Muayad Sabri Sabri
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Energy Research
Subjects:
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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