[1]孙芳锦,苏基浩,李智达,等.采用量子粒子群优化算法的风荷载作用下伞形膜结构形态优化设计[J].华侨大学学报(自然科学版),2022,43(6):719-726.[doi:10.11830/ISSN.1000-5013.202202010]
 SUN Fangjin,SU Jihao,LI Zhida,et al.Optimal Design of Umbrella-Shaped Membrane Structure Under Wind Load Using Quantum Particle Swarm Optimization Algorithm[J].Journal of Huaqiao University(Natural Science),2022,43(6):719-726.[doi:10.11830/ISSN.1000-5013.202202010]
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采用量子粒子群优化算法的风荷载作用下伞形膜结构形态优化设计()
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《华侨大学学报(自然科学版)》[ISSN:1000-5013/CN:35-1079/N]

卷:
第43卷
期数:
2022年第6期
页码:
719-726
栏目:
出版日期:
2022-11-11

文章信息/Info

Title:
Optimal Design of Umbrella-Shaped Membrane Structure Under Wind Load Using Quantum Particle Swarm Optimization Algorithm
文章编号:
1000-5013(2022)06-0719-08
作者:
孙芳锦123 苏基浩3 李智达3 张大明4
1. 桂林理工大学 广西岩土力学与工程重点实验室, 广西 桂林 541004;2. 桂林理工大学 广西建筑新能源与节能重点实验室, 广西 桂林 541004;3. 桂林理工大学 土木与建筑工程学院, 广西 桂林 541004; 4. 桂林理工大学 信息科学与工程学院, 广西 桂林 541006
Author(s):
SUN Fangjin123 SU Jihao3 LI Zhida3 ZHANG Daming4
1. Guangxi Key Laboratory of Geotechnical Engineering and Engineering, Guilin University of Technology, Guilin 541004, China; 2. Guangxi Key Laboratory of Building New Energy and Energy Saving, Guilin University of Technology, Guilin 541004, China; 3. College of Civil Engineering and Architecture, Guilin University of Technology, Guilin 541004, China; 4. College of Information Science and Engineering, Guilin University of Technology, Guilin 541006, China
关键词:
伞形膜结构 风荷载 多目标形态优化 量子粒子群优化算法 适应度函数
Keywords:
umbrella-shaped membrane structure wind load multi-objective shape optimization quantum particle swarm optimization algorithm fitness function
分类号:
TU383.04;TP183
DOI:
10.11830/ISSN.1000-5013.202202010
文献标志码:
A
摘要:
为获取具有最优性能的张拉膜结构的形态,基于量子粒子群优化算法,开展伞形膜结构在风荷载作用下的形态优化设计.以矢跨比和脊索拉力作为优化变量,将应变能、应力波动系数和最大支座反力作为优化目标建立多目标优化模型. 通过分配系数法构造适应度函数,并以适应度函数为评价标准进行优化计算;然后,通过与粒子群优化算法优化结果的比较,证明量子粒子群优化算法的有效性和优越性.结果表明:风荷载作用下的最优伞形膜结构形态的脊索拉力、膜预应力和跨度之间的比值系数约为0.77,最优结构矢跨比为0.33~0.41,最优值主要集中在0.35左右.
Abstract:
In order to obtain the tensile membrane structure with optimal performance, the shape optimization design of umbrella-shaped membrane structure under wind load was carried out based on quantum particle swarm optimization algorithm. A multi-objective optimization model was established, taking the rise-span ratio and the chord cable tension as the optimization variables, and taking the strain energy, stress fluctuation coefficient and maximum support reaction force as the optimization objectives. The fitness function was constructed by the distribution coefficient method. The optimization calculation was carried out with the fitness function as the evaluation standard. The effectiveness and superiority of the quantum particle swarm optimization algorithm were proved by comparison with the optimization results of the particle swarm optimization algorithm. The results show that the ratio coefficient among the chord cable tension, membrane prestress and span of the optimal umbrella-shaped membrane structure under the action of wind load is about 0.77, and the optimal structural rise-span ratio is 0.33-0.41, and the optimal value is mainly concentrated around 0.35.

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备注/Memo

备注/Memo:
收稿日期: 2022-02-18
通信作者: 张大明(1978-),男,副教授,博士,主要从事智能算法与优化、数值计算、废弃物资源化利用的研究.E-mail:e_horse@163.com.
基金项目: 国家自然科学基金资助项目(52178468); 广西自然科学基金资助项目(2019GXNSFAA245037); 广西青年创新人才科研专项(桂科AD19245012); 桂林理工大学科研启动基金(GUTQGJJ2019042, GUTQDJJ2019041); 广西建筑新能源与节能重点实验室自主课题(桂科能19-J-21-14); 广西岩土力学与工程重点实验室项目(桂科能19-Y-21-2)http://www.hdxb.hqu.edu.cn
更新日期/Last Update: 2022-11-20