南通大学学报（自然科学版）2019，Vol.18Issue(4)：46-53,8.DOI:10.3969/j.issn.1673-2340.2019.04.007
基于模态分析的输电塔结构优化模型
A Structural Optimization Model for Transmission Tower Based on Modal Analysis
储柳1,2 1贲树俊3* 2陈超宇23
作者信息
- 1. 南通大学杏林学院,江苏南通226236
- 2. 南通大学交通与土木工程学院,江苏南通226019
- 3. 国网南通供电公司,江苏南通226007
- 折叠
摘要
Abstract
A new type of transmission tower structure optimization model based on modal analysis is proposed. To construct he parametric finite element model of transmission tower structure, the Latin hypercube sampling method is used for efficient sampling, by which the sample space is evenly divided before the sample space is sampled, thereby avoiding the disadvantage of low efficiency repeated sampling of sample space in the Monte Carlo method, and effectively improving the operation efficiency of Monte Carlo random finite element method. The linear regression, pure quadratic regression, cross regression and complete quadratic regression formula are used to optimize the structure of transmission tower. Through the residual analysis of linear regression and the comprehensive consideration of correlation coefficient R2, F, P and evaluation error E, the mathematical relationship between random input variables and random output variables of transmission tower is constructed by using the complete quadratic regression model. The simulated annealing algorithm and genetic algorithm are used to optimize the model respectively. The optimization results show that both algorithms can realize global search and avoid local minimum points in the optimization process. The advantages of genetic algorithm are more obvious, the convergence speed is fast, the calculation time is short, and the optimization result of objective function is better than that of simulated annealing algorithm. Compared with the original structure of transmission tower, the consumable volume of transmission tower optimized by genetic algorithm and simulated annealing algorithm decreased by 19.97% and 19.96% respectively, which are close to each other. The difference between the fifth order and the first order natural frequencies of the optimized transmission tower structure optimized by genetic algorithm is 138.1% of the original design, and that of simulated annealing algorithm is 113.7%. Therefore, the optimized structure of the transmission tower optimized by genetic algorithm outperforms.关键词
模态分析/输电塔/结构优化Key words
modal analysis/ transmission tower/ structural optimization分类
信息技术与安全科学引用本文复制引用
储柳1,2,贲树俊3*,陈超宇2..基于模态分析的输电塔结构优化模型[J].南通大学学报（自然科学版）,2019,18(4):46-53,8.
