Parametric Structural Topology Optimization of High-Rise Buildings Considering Wind and Gravity LoadsSource: Journal of Architectural Engineering:;2021:;Volume ( 027 ):;issue: 004::page 04021038-1DOI: 10.1061/(ASCE)AE.1943-5568.0000511Publisher: ASCE
Abstract: Topology optimization has recently been investigated as a technique for the conceptual design of efficient structures during the early stage of the design of buildings to tackle the design challenges. The use of this technique, which leads to optimum structures, mostly results in esthetic, lightweight, and best performance from the perspective of engineers or architects. However, the topology optimization results are not usually known for direct realization in practice, and the engineer and architect should be able to choose the best solution among numerous choices in close cooperation. This paper has focused on defining a parametric framework of continuous optimum design of lateral bracing systems for tall buildings considering wind and gravity loads. The bidirectional evolutionary structural optimization (BESO) method was employed, considering the main optimization parameter, loading scenarios, and constraints. In order to show the effectiveness of the suggested topology optimization framework for minimizing compliance (maximizing stiffness) and minimum consumption of materials in the design of lateral bracing systems, 2D and 3D systems have been discussed. According to the obtained results, this framework could employ topology optimization during the conceptual design to seek a new definition of the optimum layout of lateral bracing systems with high structural performance, elegant geometries, and other characteristics considered by architects and engineers.
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| contributor author | Amir Goli | |
| contributor author | Matin Alaghmandan | |
| contributor author | Farzad Barazandeh | |
| date accessioned | 2022-02-01T21:44:20Z | |
| date available | 2022-02-01T21:44:20Z | |
| date issued | 12/1/2021 | |
| identifier other | %28ASCE%29AE.1943-5568.0000511.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4271938 | |
| description abstract | Topology optimization has recently been investigated as a technique for the conceptual design of efficient structures during the early stage of the design of buildings to tackle the design challenges. The use of this technique, which leads to optimum structures, mostly results in esthetic, lightweight, and best performance from the perspective of engineers or architects. However, the topology optimization results are not usually known for direct realization in practice, and the engineer and architect should be able to choose the best solution among numerous choices in close cooperation. This paper has focused on defining a parametric framework of continuous optimum design of lateral bracing systems for tall buildings considering wind and gravity loads. The bidirectional evolutionary structural optimization (BESO) method was employed, considering the main optimization parameter, loading scenarios, and constraints. In order to show the effectiveness of the suggested topology optimization framework for minimizing compliance (maximizing stiffness) and minimum consumption of materials in the design of lateral bracing systems, 2D and 3D systems have been discussed. According to the obtained results, this framework could employ topology optimization during the conceptual design to seek a new definition of the optimum layout of lateral bracing systems with high structural performance, elegant geometries, and other characteristics considered by architects and engineers. | |
| publisher | ASCE | |
| title | Parametric Structural Topology Optimization of High-Rise Buildings Considering Wind and Gravity Loads | |
| type | Journal Paper | |
| journal volume | 27 | |
| journal issue | 4 | |
| journal title | Journal of Architectural Engineering | |
| identifier doi | 10.1061/(ASCE)AE.1943-5568.0000511 | |
| journal fristpage | 04021038-1 | |
| journal lastpage | 04021038-15 | |
| page | 15 | |
| tree | Journal of Architectural Engineering:;2021:;Volume ( 027 ):;issue: 004 | |
| contenttype | Fulltext |