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.
Chunliang Zhang and Paul P. Lin
Z. J. Li and X. C. Wang, "A Dynamic Optimization Design Method for the Turbine Engine Frame Foundation", Applied Mechanics and Materials, Vols. 226-228, pp. 784-787, 2012