基于改进粒子群算法的翼型多目标优化研究

在多目标优化研究中,为改善多目标粒子群算法的局部搜索能力,以标准粒子群算法为基础,引入单点模拟退火算法,局部进化最优个体,采用基于目标向量的共享函数法评价适应值.标准测试函数优化实例表明:本文算法比标准粒子群算法具有更好的收敛稳定性和收敛速度,收敛速度提高了近50%;针对某翼型的气动优化设计结果表明:改进算法有效缩短了优化时间,迭代代数由61减为49,调用CFD由4880减为4250次;阻力系数、升力系数、低头力矩系数分别改进了9.23%、0.42%、16.4%,取得了较好的优化效果.     

一种可用于机翼优化设计中的气动噪声预测模型

发展了一种可用于翼型/机翼外形设计中的气动噪声快速预测方法。相较于传统的半经验噪声预测方法,该方法以两方程非线性k-ε湍流模型模化雷诺应力的雷诺平均方程为背景,考虑了升力系数、三维流动效应以及机翼几何参数等因素对后缘噪声的影响。而相对于直接数值模拟或声类比拟方法,该方法虽不能准确预测噪声强度,但其计算量小,能给出不同翼型/机翼的相对总声压级,以及总声压级随升力系数的变化情况,易于应用于翼型/机翼气动外形优化设计中。通过计算分析二维NACA0012翼型几何参数或来流状态的改变所带来的气动噪声差异,与ANOPP软件及Brooks等计算结果进行对比,验证了该模型的可靠性。最后,计算分析二维、三维翼型/机翼气动噪声,凸显该方法在翼型/机翼气动外形优化设计中的应用价值。     

基于近似技术的涡轮叶片气动优化设计

根据五次多项式方法进行三维涡轮叶片的参数化建模,采用N-S方程和湍流模型进行三维流场分析计算,以K-S函数法作为优化方法,利用近似技术加速循环优化速度,建立了一种基于近似技术的涡轮叶片的气动优化方法。将气动效率和总压比作为目标函数,对涡轮叶片进行多目标气动优化、形状优化。算例表明本文提出的涡轮叶片优化设计方法是有效的。     

Domain versus boundary computation of flow sensitivities with the continuous adjoint method for aerodynamic shape optimization problems

This paper considers the computation of flow sensitivities that arise in the context of design optimization. The scheme is based on the solution of a continuous adjoint problem, for which two complementary, although analytically equivalent, approaches have been routinely used for some time now, yielding expressions for the sensitivities that contain, respectively, boundary and domain integrals. These concepts are clarified in a unified framework and their equivalence at the continuous level is demonstrated through appropriate algebraic manipulations. Equivalence at the discrete level is assessed through numerical testing for various aerodynamic shape‐optimization problems. Copyright © 2011 John Wiley & Sons, Ltd.     

Continuous and discrete adjoint approaches for aerodynamic shape optimization with low Mach number preconditioning

Discrete and continuous adjoint approaches for use in aerodynamic shape optimization problems at all flow speeds are developed and assessed. They are based on the Navier–Stokes equations with low Mach number preconditioning. By alleviating the large disparity between acoustic waves and fluid speeds, the preconditioned flow and adjoint equations are numerically solved with affordable CPU cost, even at the so‐called incompressible flow conditions. Either by employing the adjoint to the preconditioned flow equations or by preconditioning the adjoint to the ‘standard’ flow equations (under certain conditions the two formulations become equivalent, as proved in this paper), efficient optimization methods with reasonable cost per optimization cycle, even at very low Mach numbers, are derived. During the mathematical development, a couple of assumptions are made which are proved to be harmless to the accuracy in the computed gradients and the effectiveness of the optimization method. The proposed approaches are validated in inviscid and viscous flows in external aerodynamics and turbomachinery flows at various Mach numbers. Copyright © 2007 John Wiley & Sons, Ltd.     

快速成型弹性风洞模型高速气动特性研究

利用光固化快速成型技术加工了内部金属骨架、外部光敏树脂外形的弹性轻质AGARD-B模型.采用气动与结构并发分析方法对其跨声速气动特性进行了初步研究,完成了风洞验证实验.研究结果表明:在马赫数0.6和1.2、较小攻角(α≤4°)的条件下,弹性轻质模型气动力特性与金属模型基本吻合;较大攻角(α>4°)条件下,因弹性轻质模型刚度比全金属模型小,试验过程中受气动载荷作用,特别是升力的影响,结构机翼变形较大,导致气动力特性与全金属模型差异较大,故气动力系数需要进行弹性变形修正.初步实验结果指出:在跨声速范围内,弹性轻质模型可直接用于气动布局选型设计与研究、基本状态等研究;但同时弹性轻质模型刚度不足,易变形.     

Robust handling of non‐linear constraints for GA optimization of aerodynamic shapes

A new approach to the robust handling of non‐linear constraints for GAs (genetic algorithms) optimization is proposed. A specific feature of the approach consists of the change in the conventional search strategy by employing search paths which pass through both feasible and infeasible points (contrary to the traditional approach where only feasible points may be included in a path). The method (driven by full Navier–Stokes computations) was applied to the problem of multiobjective optimization of aerodynamic shapes subject to various geometrical and aerodynamic constraints. The results demonstrated that the method retains high robustness of conventional GAs while keeping CFD computational volume to an acceptable level, which allowed the algorithm to be used in a demanding engineering environment. Copyright © 2004 John Wiley & Sons, Ltd.     

基于遗传算法的飞机气动优化设计

建立了一种以实数编码技术为基础的遗传算法模型，并把它与通过工程估算的气动分析方法相结合，进行飞机气动形的单点和多点优化设计。 优化设计中，设计变量取机为机翼、机身和尾翼的外形及三者之间的相对位置，优化目标是使飞机在跨音速和超音速飞行状态下获得配平状态下最大的升阻比。设计结果表明该优化设计方法是十分有效的，可以用来具有正常布局形式的飞机进行气动外形的优化设计。     

自适应Kriging近似模型及其在二维扩压器优化设计中的应用

将均匀设计方法、CFD技术、Kriging近似模型及小生境微种群遗传算法相结合发展了一种自适应全局优化设计方法.优化过程中综合考虑Kriging模型的预测值与预测标准差,引入了EI(Expected Improvement)函数得到校正点,解决了采用近似模型最优策略得到校正点带来的局部收敛问题.分别采用该方法和小生境微...     

气体模型对再入飞行器气动力热环境影响的数值研究

复杂外形再入飞行器的设计,需对气动力热环境进行预测,由于不同的气体模型会对预测的结果产生影响,所以气动设计时就必须考虑这一影响.采用热化学平衡气体模型和双温度热化学非平衡气体模型对复杂外形再入飞行器的气动力热环境进行了数值计算;分析了气体模型对气动力、壁面热流等值线、驻点线平动温度、振动温度、组分质量分数等特征量的影响...     

Research status and trend of wind turbine aerodynamic noise

The main components of the wind turbine aerodynamic noise are introduced. A detailed review is given on the theoretical prediction, experimental measurement, and numerical simulation methods of wind turbine noise, with specific attention to applications. Furthermore, suppression techniques of wind turbine aerodynamic noise are discussed. The perspective of future research on the wind turbine aerodynamic noise is presented.     

翼型多目标气动优化设计方法

将数值优化软件modeFRONTIER同计算流体力学(CFD)软件相结合,对NACA0012翼型的气动性能进行优化.计算采用N-S方程作为主控方程以计算翼型气动性能,分别采用多目标遗传算法(MOGA)和多目标模拟退火算法(MOSA)作为翼型的气动性能优化算法.计算结果表明,优化后的翼型相对于优化前的翼型的气动性能有很大提高(升阻比增幅可达182%).     

轻型飞机机翼气动/结构协同优化研究

探讨用协同优化方法能否有效地解决机翼气动／结构一体化设计优化问题。首先对基本的协同优化和基于响应面协同优化两种方法的特点进行了探讨,然后以轻型飞机机翼气动／结构一体化设计为例,着重研究如何用协同优化方法建立机翼气动／结构一体化设计的优化模型。研究结果表明,基本的协同优化算法不能有效地解决该机翼气动／结构一体化优化问题,而基于响应面的协同优化方法在求解这一问题时具有较好的鲁棒性。     

Study of the aerodynamic characteristics of cone-sphere models in a hypersonic flow

The aerodynamic characteristics of cone-sphere models are studied at Mach numbers M = 6, 8.4, and 12 to 13 over a wide Reynolds number range. Models of a braking device (sphere) were connected with a load (frustum of a cone) by means of shrouds. The dependences of the aerodynamic coefficients C _x and C _y on the angle of attack α were obtained for different relative dimensions of the load and the braking device, shroud lengths, and Mach and Reynolds numbers. The effect of the above-mentioned parameters on the aerodynamic characteristics of the models is analyzed. The C _x (Re_D) dependences of load-parachutemodels in a symmetric flow are determined over the wide Mach and Reynolds number ranges 6 ≤ M ≤ 13 and 3 · 10³ ≤ Re_D ≤ 3 · 10⁶.     

气动载荷压心变化对机翼结构重量的影响

借助PATRAN、NASTRAN有限元分析工具,着重研究机翼结构重量因气动载荷压心变化而产生的影响。气动载荷的压心变化通过在飞机巡航状态中某一个载荷情况下真实的气动载荷基础上叠加一个微小量的分布载荷来实现,保证新得到的气动载荷与原始的气动载荷总载保持一致,从而使得气动载荷的压心位置发生变化。通过理论分析和简单的有限元分析验证,得到了气动载荷压心变化下机翼蒙皮、长桁等单元的应力分布和增长规律,进而得到气动载荷压心变化与机翼结构增重之间的函数关系:气动载荷压心向翼尖方向移动1%,机翼结构重量增重2.46%。该结论可以为其他型号的民机机翼设计提供参考依据。     

遗传算法的一个改进及其在气动设计中的应用

提出一个概率型二值搜索思想,驿标准遗传算法进行改进,改进是在原算法中增设一个概率型二值决策步。在该步中,首先通过计算种群中每个个体以体（二值串）各分量的适应值,统计染色体分量所在位置（基因位）取值的历史表现,由此给每个分量们赋予一个分值;然后,利用该分值以概率方法产生若个干新个体,并加入新代种群能与进化。由于分量位分值包含全局收敛信息,以此为基础产生的新个体可望具有良好素质,从而提高收敛速度,这在     

On the incremental singular value decomposition method to support unsteady adjoint-based optimization

This paper proposes and evaluates an approximation model based on an incremental Singular Value Decomposition (iSVD) algorithm, for unsteady flow field reconstructions, needed for integrating the unsteady adjoint equations backward in time, within a gradient-based optimization loop. Due to the iSVD algorithm, the computational cost of solving the unsteady adjoint equations is reduced considerably, without practically affecting the accuracy of the computed gradient. Approximations to the unsteady flow fields are constructed while solving the time-varying flow equations (moving forward in time) and used to reconstruct these fields during the backward-in-time integration of the continuous adjoint equations. Optimization results obtained using the proposed method are compared to those computed using the binomial checkpointing technique, which acts as the reference method. Test cases for both flow control and shape optimization problems are presented.     

One‐shot pseudo‐time method for aerodynamic shape optimization using the Navier–Stokes equations

This paper presents a numerical method for aerodynamic shape optimization problems in compressible viscous flow. It is based on simultaneous pseudo‐time stepping in which stationary states are obtained by solving the pseudo‐stationary system of equations representing the state, costate and design equations. The main advantages of this method are that it blends in nicely with previously existing pseudo‐time‐stepping methods for the state and the costate equations, that it requires no additional globalization in the design space, and that a preconditioner can be used for convergence acceleration which stems from the reduced SQP methods. For design examples of 2D problems, the overall cost of computation can be reduced to less than 2 times the forward simulation runs. Copyright © 2011 John Wiley & Sons, Ltd.     

工程结构优化的进化策略-高斯过程协同优化方法

针对采用仿生全局优化方法进行复杂工程结构优化时数值计算量浩大导致的计算代价过高的公开问题,将自适应协方差矩阵进化策略(CMAES)全局优化算法、高斯过程(GP)机器学习技术与有限元方法相结合,提出了基于自适应协方差矩阵进化策略-高斯过程协同优化算法(CMAES-GP)的结构优化方法。该方法利用全局寻优性好且寻优效率高的CMAES算法进行全局最优搜索,当搜索进入局部寻优阶段时,采用回归性能优秀的GP模型对适应度函数进行动态拟合,进而利用GP模型替代有限元分析进行个体适应度评价,以减小局部寻优阶段的有限元重分析次数,从而实现有效降低工程结构优化计算代价的目的。算例研究表明,与传统结构优化方法相比较,本文方法具有全局性好、计算效率高的优点。     

桁架拓扑优化的多点逼近遗传算法

提出一种基于多点逼近函数和遗传算法的桁架拓扑优化方法。该方法建立了包含连续尺寸和离散拓扑两类变量的优化模型,并通过构造多点逼近函数建立了结构优化问题的第一级序列显式近似,然后采用分层优化方法：在外层对拓扑变量采用遗传算法进行优化;在内层对尺寸变量通过可由对偶法求解的第二级序列近似问题进行优化。几个经典的桁架拓扑优化算例表明该方法能以较少的结构分析次数获得比较理想的概率意义上的最优解。