Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022)

<Previous Article In Volume
Next Article In Volume>

Optimal Design and Application of High-rise Building Structure Based on Hybrid Genetic Algorithm

Authors
Junbing Yang1, *, Xiaomin Hu2
1CCCC Second Highway Consultants Co., Ltd. Wuhan, Wuhan, 430100, Hubei, China
2Central-South Architectural Design Institute Co., Ltd. Wuhan, Wuhan, 430000, Hubei, China
*Corresponding author. Email: mybin75@163.com
Corresponding Author
Junbing Yang
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-058-9_119How to use a DOI?
Keywords
Hybrid Genetic Algorithm; One-way Search Algorithm; High-rise Building; Structure Optimization
ABSTRACT

With the rapid growth of my country's economy, the continuous improvement of people's living standards, the gradual increase of the urbanization rate, the scope of urban land is becoming more and more tight. To solve this problem, urban architecture needs to be developed from low to high. In the design stage of high-rise buildings, there are often unreasonable layouts of many structural elements. Therefore, the scheme design and optimization in the design stage are more important. This paper aims to study the optimal design and application of high-rise building structure based on hybrid genetic algorithm. Based on the analysis of the structural design characteristics of high-rise buildings, the reinforced concrete structure system of high-rise buildings and the concept of genetic algorithm, taking a 15-story shear wall residential floor in a residential area as an example, the building structure is pure scissor wall structure, and the total building height is 40m. In this paper, the genetic algorithm and one-way search algorithm are combined to optimize the structure. The one-way search algorithm is used for local search, and the genetic algorithm is used for global search. The experimental results show that the optimized structure period is generally longer than the previous period.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022)
Series
Advances in Computer Science Research
Publication Date
27 December 2022
ISBN
978-94-6463-058-9
ISSN
2352-538X
DOI
10.2991/978-94-6463-058-9_119How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Junbing Yang
AU  - Xiaomin Hu
PY  - 2022
DA  - 2022/12/27
TI  - Optimal Design and Application of High-rise Building Structure Based on Hybrid Genetic Algorithm
BT  - Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022)
PB  - Atlantis Press
SP  - 761
EP  - 766
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-058-9_119
DO  - 10.2991/978-94-6463-058-9_119
ID  - Yang2022
ER  -