摘要
利用蚁群算法进行结构优化,选用Walker模型预测结构的疲劳寿命,采用一次二阶矩法计算结构可靠度,提出了一种基于蚁群算法的结构疲劳可靠性优化方法。利用有限元分析软件,采用VC++语言编程实现了该优化方法。针对涡轮盘结构,以轮盘转速和弹性模量为随机变量,应用所发展的方法进行了疲劳寿命可靠性优化分析。通过与ANSYS优化结果的对比,验证了所提出方法的有效性。
The Walker life model was chosen to forecast the life of a turbine disc. The fatigue life reliability was evaluated by First-Order-Second-Moment （FOSM） method. A fatigue life reliability optimization method was developed on the basis of Touring Ant Colony Optimization（TACO） algorithm. Using the finite element analysis software ANSYS as the platform, the optimization program code was written in VC ＋ ＋. The material＇s elastic modulus and rotating speed were chosen as random variables. A turbine disc was optimized by the method. Comparison with the result of ANSYS optimization shows that our method is feasible and effective.
出处
《机械科学与技术》
CSCD
北大核心
2009年第3期291-294,共4页
Mechanical Science and Technology for Aerospace Engineering
关键词
可靠性优化
蚁群算法
疲劳
轮盘
reliability optimization
TACO algorithm
fatigue
turbine disc
