跨音速翼型和机翼的气动优化设计

以NACA0012翼型和ONERA－M6机翼为基准，分别把可变误差多面体法（VEP）和遗传算法（GA）两种不同的优化方法与求解二维和三维欧拉方程的气动分析相结合，进行跨音速翼型和机翼的气动优化设计，并在其基础上对两种不同性质的优化方法在气动优化设计应用中的优化质量和计算效率进行比较，在优化设计的过程中，翼型通过解析函数线性叠加法来表示，机翼通过不变的翼型和可变的平面形状来表示，二维和三维欧拉方程采用Jamenson提出的有限体积方案，显式四步RungeKutta时间推进求解。

Thermo-Hydro Stress Analysis of Grain Kernels

Two optimization methods, variable error polyhedron method (VEP) and genetic alg orithm (GA), are combined with aerodynamic analysis of two-and three-dimensi onal Euler equations solvers resperctively, to carry out aerodynamic optimizatio n design of transonic airfoil NACA0012 and wing ONERA-M6. Compared the two met hods appied on aerodynamic optimization design to determine optimum mass and the ir computing efficiency. The conclsions are: First, optimization result and ef ficiency depend on selections of objective function, constraints and design var iables. On same conditions, difference between designs using of different optimi zation method is related to the properties of optimization problems. Secondly, in common, stochastic methods, compared with conventional determinate method such as variable error polyhedron method, when used in aerodynamic desig n, make it easy to get optimizatioin design results with higher quality but much more computational cost is required. When optimization design will be laid par ticular stress on high quality, the more reasonable answer for selection of opti mization method falls into stochastic methods, otherwise, determinate methods su ch as variable error polyhedron may be the best choice. Lastly, if stochastic method is combined with determinate method, better tradeo ff may be obtained between quality and efficiency of optimization.