Please wait a minute...
浙江大学学报(工学版)
Journal of ZheJiang University (Engineering Science)  2022, Vol. 56 Issue (10): 2049-2056    DOI: 10.3785/j.issn.1008-973X.2022.10.016
    
Design optimization of curved curtain wall based on genetic algorithm under cost orientation
Yi-quan ZOU1(),Hao-zhou HUANG1(),Xu-yong XIA2,Xin WANG1
1. School of Civil Architecture and Environment, Hubei University of Technology, Wuhan 430068, China
2. Beijing Glory PKPM Technology Limited Company, Beijing 100029, China
Download: HTML     PDF(1488KB) HTML
Export: BibTeX | EndNote (RIS)      

Abstract  

A two-stage composite optimization scheme combining optimization at the scheme design stage and optimization at the deepening design stage was proposed to optimize the costs of curved curtain wall projects aiming at the problem of high construction costs caused by the increasing use of curved curtain walls in current buildings. A parametric model of curved curtain wall was established by Rhino, and the optimization scheme was written by using Grasshopper logic operator to realize the optimization scheme generated by control parameters. The optimization of the mesh division scheme was conducted by using multi-objective genetic algorithm in the scheme design stage. The equilibrium solution set of panel type share and keel integrated length was comprehensively considered to select the optimal solution to meet the engineering requirements. The single-objective genetic algorithm was used to optimize the hyperbolic panels into single-curved panels and reduce the proportion of the number of hyperbolic panels in the deepening design stage. The analysis of the actual engineering application showed that the optimization rate of this composite optimization scheme was 23.19% based on the original scheme. The optimization rate of the existing scheme which was only optimized in a single stage was 16.20%, and the optimization rate of the composite optimization scheme was increased by 6.99% based on the existing optimization scheme. The research results show that the use of this research scheme can effectively reduce the cost of curved curtain wall projects.

Key words： curved curtain wall      cost optimization      multi-objective genetic algorithm      single-objective genetic algorithm      compound optimization scheme     
Received: 05 November 2021      Published: 25 October 2022
CLC:  TU 2  
Fund:  “科技助力经济2020”重点专项资助项目（2020ZLSH08）
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
Yi-quan ZOU
Hao-zhou HUANG
Xu-yong XIA
Xin WANG
Cite this article:

Yi-quan ZOU,Hao-zhou HUANG,Xu-yong XIA,Xin WANG. Design optimization of curved curtain wall based on genetic algorithm under cost orientation. Journal of ZheJiang University (Engineering Science), 2022, 56(10): 2049-2056.

URL:

https://www.zjujournals.com/eng/10.3785/j.issn.1008-973X.2022.10.016     OR     https://www.zjujournals.com/eng/Y2022/V56/I10/2049


成本导向下基于遗传算法的曲面幕墙设计优化

针对目前建筑越来越多采用曲面幕墙而带来的高额建造成本问题，提出方案设计阶段优化与深化设计阶段优化相结合的两阶段复合优化方案，对曲面幕墙工程项目进行成本优化. 通过Rhino建立曲面幕墙参数化模型，利用Grasshopper逻辑运算器编写优化方案，实现控制参数生成的优化方案. 在方案设计阶段中，使用多目标遗传算法进行网格划分方案优化. 综合考虑面板类型占比与龙骨综合长度的平衡解集，选择满足工程需求的最优方案解，在深化设计阶段中使用单目标遗传算法，将双曲型面板优化为单曲型面板，降低双曲型面板数量的占比. 通过实际工程应用的分析可知，该复合优化方案在原始方案基础上的优化率为23.19%，现有只在单一阶段进行优化的方案优化率为16.20%，复合优化方案的优化率在现有的优化方案的基础上增加了6.99%. 研究结果表明，利用该研究方案，能够有效地降低曲面幕墙工程项目成本.


关键词： 曲面幕墙,  成本优化,  多目标遗传算法,  单目标遗传算法,  复合优化方案 
Fig.1 Optimization framework of scheme design stage
Fig.2 Optimization process of curved curtain wall at scheme design stage
Fig.3 Optimization framework of deep design stage
Fig.4 Optimize process of hyperbolic panels at deep design stage
Fig.5 Rendering of Olympic Center in Leshan, Sichuan
Fig.6 Schematic model of natatorium curtain wall engineering optimization
Fig.7 Connection type of optimization variable and optimization goals in “Octopus” component
方案 αU/mm αV/mm βU/mm βV/mm θU/(°) θV/(°) N1 P1/% N2 P2/% N3 P3/% Lkc/mm
初始方案 0 0 2000 1000 90 0 27 5.17 364 69.73 131 25.10 1750.65
方案1 287 639 2017 1058 84 2 25 5.18 349 72.26 109 22.56 1674.30
方案2 1689 273 2084 1093 89 ?5 29 5.93 325 66.46 135 27.61 1587.31
方案3 1235 456 2075 1035 89 ?2 26 5.62 326 70.41 111 23.97 1625.78
Tab.1 Optimization variables and objective parameter table of optimization solution set
方案 Vn1/% Vp1/% Vn2/% Vp2/% Vn3/% Vp3/% Vkc/%
方案1 ?7.41 +1.00 ?4.12 +2.53 ?16.79 ?2.54 ?4.36
方案2 +7.41 +0.76 ?10.71 ?3.27 +3.05 +2.51 ?9.33
方案3 ?3.70 +0.45 ?10.43 +0.68 ?15.27 ?1.13 ?7.13
Tab.2 Comparison table between optimization objective parameters and initial solution of optimization scheme
Fig.8 Panel type distribution diagram of initial scheme
Fig.9 Panel type distribution diagram of optimization scheme three
Fig.10 Connection type of optimization variable and optimization goals in “Galapagos” component
Fig.11 “Galapagos” interface of parameter setting
Fig.12 “Galapagos” interface of optimization and analysis
方案 t1/mm t2/mm γS/% γL/%
现有的优化方案 7.48 4.16 0.424 0.199
复合优化方案 5.88 3.39 0.387 0.171
Tab.3 Error values before and after optimization of different schemes
Fig.13 Gaussian curvature analysis diagram of existing optimization scheme
Fig.14 Gaussian curvature analysis diagram of composite optimization scheme
方案 N1 N2 N3 Lkc/mm C/万元
初始方案 27 364 131 1750.65 66.42
现有的优化方案 27 495 0 1750.65 55.65
复合优化方案 26 437 0 1625.78 51.01
Tab.4 Optimization objective parameters of each scheme and total material cost
[1]   EFSTATHIADES C, BANIOTOPOULOS C C, NAZARKO P, et al Application of neural networks for the structural health monitoring in curtain-wall systems[J]. Engineering Structures, 2007, 29 (12): 3475- 3484
doi: 10.1016/j.engstruct.2007.08.017
[2]   李丹枫. 单元式幕墙工程造价的影响因素研究 [D]. 广州: 华南理工大学, 2012.
LI Dan-feng. Study of the cost influence factors of unit curtain wall project [D]. Guangzhou: South China University of Technology, 2012.
[3]   徐双梅. 国际项目幕墙工程承包成本管理研究 [D]. 广州: 华南理工大学, 2018.
XU Shuang-mei. Research on contractor cost management of international curtain wall projects [D]. Guangzhou: South China University of Technology, 2018.
[4]   2019-2025年中国铝单板行业市场深度分析及发展前景预测报告 [EB/OL]. (2019-04-23). https://www.huaon.com/tag/lvchanban?cate=2.
2019-2025 China aluminum veneer industry market in-depth analysis and development prospects forecast report [EB/OL]. (2019-04-23). https://www.huaon.com/tag/lvchanban?cate=2.
[5]   WANG Y X, WEI C Y . Design optimization of office building envelope based on quantum genetic algorithm for energy conservation [J]. Journal of Building Engineering, 2021, 35: 102048.
[6]   程希奇, 李蓓, 邱继衠, 等 复杂建筑幕墙BIM正向设计研究[J]. 土木建筑工程信息技术, 2020, 12 (4): 23- 33
CHENG Xi-qi, LI Bei, QIU Ji-zhun, et al Research on BIM forward design of complex building curtain wall[J]. Information Technology for Civil and Architectural Engineering, 2020, 12 (4): 23- 33
doi: 10.16670/j.cnki.cn11-5823/tu.2020.04.03
[7]   周肖飞, 张世豪, 唐干, 等 埃及新首都CBD标志塔外幕墙工程BIM技术应用研究[J]. 土木建筑工程信息技术, 2020, 12 (2): 44- 49
ZHOU Xiao-fei, ZHANG Shi-hao, TANG Gan, et al Study on application of BIM technology in outer curtain wall project of CBD tower in new capital of Egypt[J]. Information Technology for Civil and Architectural Engineering, 2020, 12 (2): 44- 49
[8]   汪永平, 蒋鸿鹄, 蒋洁菲, 等 双曲钛锌板屋面深化设计方法[J]. 施工技术, 2020, 49 (16): 51- 54
WNAG Yong-ping, JIANG Hong-hu, JIANG Jie-fei, et al The deepening design method of titanium-zinc hyperbolic panel roof[J]. Konstruksie Tegnologie, 2020, 49 (16): 51- 54
[9]   史春芳, 熊保龙, 张和, 等. 双曲金属屋面深化设计探讨 [C]// 2020年工业建筑学术交流会. 北京: 工业建筑杂志社, 2020: 192-195.
SHI Chun-fang, XIONG Bao-long, ZHANG He, et al. Discussion on deepening design of hyperbolic metal roof [C]// 2020 Industrial Building Academic Exchange Conference. Beijing: Industrial Architecture Magazine, 2020: 192-195.
[10]   徐维平 务实·专注·理性: 让创新走得更远——“武汉中心”超高层设计实践[J]. 建筑学报, 2019, (3): 24- 27
XU Wei-ping Pragmatism, focus and rationality: make innovation go further-practice of "Wuhan Center" super high-rise design[J]. Architectural Journal, 2019, (3): 24- 27
[11]   高泉, 顾锋 互联网世界的大门: 深圳·腾讯滨海大厦[J]. 建筑学报, 2019, (3): 81- 83
GAO Quan, GU Feng The gateway to the Internet world: Tencent Binhai Building in Shenzhen[J]. Architectural Journal, 2019, (3): 81- 83
[12]   姜树仁, 董学朋, 王常霖, 等 沿海地区高铁站房双曲面幕墙及金属屋面施工技术研究[J]. 建设科技, 2020, (5): 36- 43
JIANG Shu-ren, DONG Xue-peng, WANG Chang-lin, et al Research on construction technology of hyperbolic curtain wall and metal roofs of high-speed railway station buildings in coastal areas[J]. The Construction of Science and Technology, 2020, (5): 36- 43
doi: 10.16116/j.cnki.jskj.2020.05.007
[13]   许占勇, 郭永成 多曲面幕墙工艺创新与成本分析[J]. 建筑结构, 2020, 50 (Supple.2): 933- 936
XU Zhan-yong, GUO Yong-cheng Innovation and cost analysis of multi-curved curtain wall[J]. Building Structure, 2020, 50 (Supple.2): 933- 936
[14]   CHANTRELLE F P, LAHMIDI H, KEILHOLZ W Development of a multicriteria tool for optimizing the renovation of buildings[J]. Applied Energy, 2011, 88 (4): 1386- 1394
doi: 10.1016/j.apenergy.2010.10.002
[15]   JAEYONG Y, LEE M Optimized building envelope by using genetic algorithm and application to building design[J]. Journal of Korea Intitute of Spatial Design, 2019, 14 (3): 59- 73
doi: 10.35216/kisd.2019.14.3.59
[16]   LIM T K, LEE D E Developing the quality and cost optimization system for metal curtain wall using genetic algorithm and quality function deployment[J]. Journal of the Architectural Institute of Korea Structure and Construction, 2011, 27 (12): 189- 198
[17]   张健健, 姬琳, 赵云卿 基于参数化设计的寒冷地区建筑能耗和采光优化研究[J]. 建筑经济, 2020, 41 (Supple.2): 334- 337
ZHANG Jian-jian, JI Lin, ZHAO Yun-qing Optimization of building energy consumption and daylighting in cold areas based on parametric design[J]. Building Economy, 2020, 41 (Supple.2): 334- 337
[18]   张龙巍, 隋金廷, 吕宵, 等 基于日照性能分析与遗传算法的BIPV曲面幕墙设计研究[J]. 建筑学报, 2019, (Supple.2): 58- 62
ZHANG Long-wei, SUI Jin-ting, LV Xiao, et al Research on the design of BIPV curved curtain wall based on solar performance analysis and genetic algorithm[J]. Journal of Architecture, 2019, (Supple.2): 58- 62
[19]   汪海英. BIM工具选择系统框架研究 [D]. 武汉: 华中科技大学, 2015.
WANG Hai-ying. Research on the framework of BIM tools selection system [D]. Wuhan: Huazhong University of Science and Technology, 2015.
[20]   陈颖, 周泽渥 数字技术语境下的高精度设计控制: 凤凰中心数字化设计实践[J]. 建筑学报, 2014, (5): 24- 29
CHEN Ying, ZHOU Ze-wo High precision design control in the context of digital technology: digital design practice of phoenix center[J]. Architectural Journal, 2014, (5): 24- 29
doi: 10.3969/j.issn.0529-1399.2014.05.003
[21]   彭德坤, 朱发东, 文常娟, 等 大扭转双向曲面玻璃幕墙设计与施工[J]. 建筑结构, 2020, 50 (9): 103- 109
PENG De-kun, ZHU Fa-dong, WEN Chang-juan, et al Large torsion two-way curved glass curtain wall design and construction[J]. Building Structure, 2020, 50 (9): 103- 109
doi: 10.19701/j.jzjg.2020.09.018
[1] HUANG Yan, WANG Peng, XIE Gao hui, AN Jun xiu. Data center energy cost optimization in smart grid: a review[J]. Journal of ZheJiang University (Engineering Science), 2016, 50(12): 2386-2399.
[2] GUO Hai, NI Yi-hua, WANG Jin, LU Guo-dong. Multi-objective performance optimization method of automotive air-conditioning condenser[J]. Journal of ZheJiang University (Engineering Science), 2015, 49(1): 142-159.