A Dynamic Optimization Design Method for the Turbine Engine Frame Foundation
An effective optimization method using Kriging model and parametric sampling evaluation strategy is proposed to solve dynamic optimization design.The optimization problem is to find the design variables such that the structural weight is minimum and dynamic displacement of the points concerned plus certain side constraints are satisfied.The types of design variables are considered as the sizing variables of the beams and columns.Kriging model is used to build the approximate mapping relationship between the forced vibration amplitude and design variables, reducing expensive dynamic reanalysis.A dynamic analysis program is used as black-box to obtain dynamic response.Numerical examples show that the method has good accuracy and efficiency.Versatility of this method can be expected to play an important role in future engineering optimization problems.
Optimization Turbine engine frame foundation Kriging Expected improvement Parametric sampling evaluation
Zhaojun Li Xicheng Wang
School of Computer Science and Technology,Dalian University of Technology,Dalian,116023,China State Key Laboratory of Structural Analysis for Industrial Equipment,Dalian University of Technology
国际会议
上海
英文
784-787
2012-10-19（万方平台首次上网日期，不代表论文的发表时间）