[1]郑莲琼,邱明锋,李国宏.基于差分粒子群算法的铝合金模板多目标智能配模方法[J].福建理工大学学报,2024,22(04):307-314.[doi:10.3969/j.issn.2097-3853.2024.04.001]
　ZHENG Lianqiong,QIU Mingfeng,LI Guohong.Multi-objective intelligent matching method for aluminum alloy formwork based on differential particle swarm optimization algorithm[J].Journal of Fujian University of Technology;,2024,22(04):307-314.[doi:10.3969/j.issn.2097-3853.2024.04.001]
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基于差分粒子群算法的铝合金模板多目标智能配模方法()
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《福建理工大学学报》[ISSN:2097-3853/CN:35-1351/Z]

卷:
第22卷
期数:
2024年04期
页码:
307-314
栏目:
出版日期:
2024-08-25

文章信息/Info

Title:
Multi-objective intelligent matching method for aluminum alloy formwork based on differential particle swarm optimization algorithm
作者:
郑莲琼; 邱明锋; 李国宏
福建理工大学土木工程学院
Author(s):
ZHENG Lianqiong1; 2;  QIU Mingfeng1;  LI Guohong
School of Civil Engineering, Fujian University of Technology
关键词:
铝合金模板; 多目标优化; 智能配模; 差分粒子群算法
Keywords:
aluminum alloy formwork; multi-objective optimization; intelligent formwork matching; differential particle swarm optimization algorithm
分类号:
TU398
DOI:
10.3969/j.issn.2097-3853.2024.04.001
文献标志码:
A
摘要:
为提高铝合金模板设计效率,解决人工设计铝合金模板存在的模板数量、种类、非标构件多造成的加工成本高、力学整体性差等问题,建立了铝合金模板两阶段多目标约束配模优化方法。基于BIM技术提取配模混凝土构件信息,以铝合金模板使用数量和使用种类最少为目标,建立了对应的多目标优化数学模型;使用差分粒子群算法求解,并将最优解在BIM模型中自动配模。该智能优化方法应用于铝合金模板设计,与人工配模设计方案对比,智能配模方案中模板数量减少了19.2%,模板种类减少了37.5%,配模优化效果良好,证明了算法运用于铝合金模板配模优化中的可行性及有效性。
Abstract:
A two-stage multi-objective constrained optimization method of aluminum alloy formwork matching was proposed to enhance design efficiency and address the issues of high processing costs and poor mechanical integrity that are often associated with manual design which tends to result in a significant number of templates, various types, and numerous non-standard components. Concrete components information was extracted for formwork matching by BIM technology, a corresponding multi-objective optimization mathematical model was established with the goal of minimizing both the quantity and the variety of aluminum alloy formwork used；differential parficle swarm optimization algorithm was used for solving, and then the optimal solution was automatically matched in the BIM model. This intelligent optimization method is applied to aluminum alloy formwork design. Compared with manual design, it reduces formwork quantity by 19.2% and variety by 37.5%, showcasing favorable results and confirming the algorithms feasibility and effectiveness in optimizing aluminum alloy formwork.

参考文献/References:

［1］ 张新, 张冠, 魏双利. 剪力墙结构住宅铝合金模板优化设计研究［J］. 山东建筑大学学报, 2021, 36（3）：16-24.［2］ 王昌辉. 减量化驱动下基于BIM的铝模板设计优化［D］. 济南：山东建筑大学, 2021.［3］ 申月军. 基于BIM的铝模板设计建造一体化技术研究［D］. 济南：山东建筑大学, 2020.［4］ 连立川, 张鹏程, 刘燕妮. 基于BIM体系的钢筋优化下料初探［J］. 土木建筑工程信息技术, 2016, 8（4）：69-72.［5］ 刘刚, 孙佳琦, 董伟星. 改进粒子群优化算法在建筑能耗优化中的参数设置［J］. 天津大学学报（自然科学与工程技术版）, 2021, 54（1）：82-90.［6］ 何威, 史一超. 基于BIM-遗传算法的建筑施工期多目标优化设计［J］. 土木工程与管理学报, 2019, 36（4）：89-95.［7］ WANG J, ZHANG X D, SHOU W C, et al. A BIM-based approach for automated tower crane layout planning［J］. Automation in Construction, 2015, 59：168-178.［8］ 谢存仁, 徐峰, 阮敏浩. 基于BIM与遗传算法的建筑工程施工进度多目标优化研究［J］. 工程管理学报, 2021, 35（3）：117-122.

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更新日期/Last Update: 2024-08-25