摘要
为了进一步节约梳式防波堤成本,提出防波堤结构智能优化方法.首先,针对遗传算法在优化过程中的优势,依托中间平台,提出一种改进自适应遗传算法;然后,利用ANSYS软件的二次开发接口实现了ANSYS与中间平台的数据交互,对重复种群个体进行压缩,对筛选后种群进行原位拓展,设计多约束条件的算法实现流程;最后,提出了基于改进自适应遗传算法与ANSYS的结构智能优化方法,并应用该方法、基本遗传算法与ANSYS自带优化算法分别对梳式防波堤结构进行优化设计.通过对比优化结果,证明了该方法的可行性和优越性.
To further save the cost of comb breakwater,an intelligent optimization method of breakwater structure was proposed.First,according to the excellent performance of genetic algorithm in the optimization process,based on intermediate platform,an improved adaptive genetic algorithm(IAGA)was proposed.Then,the data interaction between ANSYS and intermediate platform was realized by using the secondary development interface of ANSYS.The individuals of the repeated population were compressed,and the screened population was expanded in situ.The algorithm implementation flow of multi constraint conditions was designed.Finally,an intelligent optimization method of structure based on IAGA and ANSYS was proposed,and the comb breakwater structure was optimized separately by using this method,the basic genetic algorithm and the self-contained optimization algorithm of ANSYS.The feasibility and superiority of this method were proved by comparing the optimization results.
作者
耿敬
覃天意
李明伟
赵玄烈
GENG Jing;QIN Tianyi;LI Mingwei;ZHAO Xuanlie(College of Shipbuilding Engineering,Harbin Engineering University,Harbin 150001,China)
出处
《华中科技大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2020年第10期86-91,共6页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金
国家自然科学基金资助项目(51509056)
黑龙江省自然科学基金资助项目(E2017028)
黑龙江省水利厅科技计划资助项目(SGZL/KY-08)。
关键词
结构智能
优化
ANSYS
改进自适应遗传算法
梳式防波堤
structural intelligent
optimization
ANSYS
improved adaptive genetic algorithm
comb breakwater
