基于差分粒子群算法的铝合金模板多目标智能配模方法  

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 ZHENG Lianqiong;QIU Mingfeng;LI Guohong(School of Civil Engineering,Fujian University of Technology,Fuzhou 350118,China;Fuzhou Technology Innovation Center of Green Construction and Building Industrialization,Fuzhou 350118,China)

机构地区：[1]福建理工大学土木工程学院,福建福州350118 [2]福州市绿色建造与建筑工业化行业技术创新中心,福建福州350118

出　　处：《福建理工大学学报》2024年第4期307-314,共8页JOURNAL OF FUJILAN UNIVERSITY OF TECHNOLOGY

基　　金：国家自然科学基金项目(51578152);福建省住房和城乡建设厅科技研究开发计划项目(2022-K-286)。

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。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.

关 键 词：铝合金模板 多目标优化 智能配模 差分粒子群算法 

分 类 号：TU398[建筑科学—结构工程]