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1.
多学科设计优化中常用代理模型的研究   总被引:30,自引:0,他引:30  
代理模型是多学科设计优化的关键技术之一。本文系统介绍了多项式响应面模型,径向基函数模型和Kriging模型等3种多学科设计优化中常用的代理模型。通过构造某机翼展向气动载荷分布的代理模型,对这3种模型的效果进行了评估,并对这些代理模型的构造方法、基本特性和适用范围进行了分析研究。  相似文献
2.
基于径向基函数的机翼二维气动代理模型设计   总被引:2,自引:0,他引:2  
采用多学科设计优化方法进行机翼气动/结构优化时,结构学科的优化需要气动学科提供机翼压力分布的代理模型。本文引入了等参单元形函数的几何变换思想,利用径向基函数,解决了复杂形状机翼的二维气动代理模型的构造问题,进行了某巡航导弹弹翼考虑结构变形的气动力代理模型的构建。算例结果表明,本文所用代理模型构造方法简单易行,预测结果的精度很好。  相似文献
3.
基于几何不确定性的翼型多目标稳健优化设计   总被引:1,自引:1,他引:0  
李焦赞  高正红 《力学学报》2011,43(3):611-615
提出在优化设计进程中引进基于各种不确定性波动的稳健优化设计思想,进行多目标进化优化算法与代理模型技术在稳健优化设计中的应用研究.提供翼型确定性优化和稳健性优化实例,并对结果进行对比,结果表明该稳健优化设计方法可以得到更有实际应用价值的翼型气动外形.  相似文献
4.
A robust airfoil optimization platform is constructed based on the modified particle swarm optimization method (i.e., the second-order oscillating particle swarm method), which consists of an efficient optimization algorithm, a precise aerodynamic analysis program, a high accuracy surrogate model, and a classical airfoil parametric method. There are two improvements for the modified particle swarm method compared with the standard particle swarm method. First, the particle velocity is represented by the combination of the particle position and the variation of position, which makes the particle swarm algorithm a second-order precision method with respect to the particle position. Second, for the sake of adding diversity to the swarm and enlarging the parameter searching domain to improve the global convergence performance of the algorithm, an oscillating term is introduced to the update formula of the particle velocity. At last, taking two airfoils as examples, the aerodynamic shapes are optimized on this optimization platform. It is shown from the optimization results that the aerodynamic characteristic of the airfoils is greatly improved in a broad design range.  相似文献
5.
Cavitation is often triggered when the fluid pres- sure is lower than the vapor pressure at a local thermo- dynamic state. The present article reviews recent progress made toward developing modeling and computational strat- egies for cavitation predictions under both isothermal and cryogenic conditions, with an emphasis on the attached cav- ity. The review considers alternative cavitation models along Reynolds-averaged Navier-Stokes and very lager eddy simu- lation turbulence approaches to ensure that the computational tools can handle flows of engineering interests. Observing the substantial uncertainties associated with both modeling and experimental information, surrogate modeling strategies are reviewed to assess the implications and relative impor- tance of the various modeling and materials parameters. The exchange between static and dynamic pressures under the influence of the viscous effects can have a noticeable impact on the effective shape of a solid object, which can impact the cavitation structure. The thermal effect with respect to evaporation and condensation dynamics is examined to shed light on the fluid physics associated with cryogenic cav- itation. The surrogate modeling techniques are highlighted in the context of modeling sensitivity assessment. Keywords  相似文献
6.
A transonic, high Reynolds number natural laminar flow airfoil is designed and studied. The γ-θ transition model is combined with the shear stress transport(SST)k-w turbulence model to predict the transition region for a laminar-turbulent boundary layer. The non-uniform free-form deformation(NFFD) method based on the non-uniform rational B-spline(NURBS) basis function is introduced to the airfoil parameterization.The non-dominated sorting genetic algorithm-II(NSGA-II) is used as the search algorithm, and the surrogate model based on the Kriging models is introduced to improve the efficiency of the optimization system. The optimization system is set up based on the above technologies, and the robust design about the uncertainty of the Mach number is carried out for NASA0412 airfoil. The optimized airfoil is analyzed and compared with the original airfoil. The results show that natural laminar flow can be achieved on a supercritical airfoil to improve the aerodynamic characteristic of airfoils.  相似文献
7.
In this study, the effects of discharge rate and LiMn2O4 cathode properties (thickness, porosity, particle size, and solid-state diffusivity and conductivity) on the gravimetric energy and power density of a lithium-ion battery cell are analyzed simultaneously using a cell-level model. Surrogate-based analysis tools are applied to simulation data to construct educed-order models, which are in turn used to perform global sensitivity analysis to compare the relative importance of cathode properties. Based on these results, the cell is then optimized for several distinct physical scenarios using gradient-based methods. The comple-mentary nature of the gradient-and surrogate-based tools is demonstrated by establishing proper bounds and constraints with the surrogate model, and then obtaining accurate optimized solutions with the gradient-based optimizer. These optimal solutions enable the quantification of the tradeoffs between energy and power density, and the effect of optimizing the electrode thickness and porosity. In conjunction with known guidelines, the numerical optimization frame-work developed herein can be applied directly to cell and pack design.  相似文献
8.
高压捕获翼构型是一种合理利用机体/上置翼(简称捕获翼)间的耦合关系提高飞行器升力,进而大幅提高升阻比的高速飞行器新概念构型。基于其设计原理,捕获翼的位置与机体压缩激波和自身二次压缩激波的位置均直接相关,一般难以利用理论方法直接获得。针对这一问题,本文运用均匀实验设计方法在设计空间内获取样本点并利用计算流体力学分析和迭代获得其设计位置,之后通过构造代理模型建立捕获翼位置与设计参数间的模拟映射关系,进而发展了一种捕获翼位置设计的有效方法。在方法研究基础上以锥体-捕获翼组合构型作为实例对其进行验证。结果表明,该方法可在较大设计空间范围内准确判定捕获翼的设计位置。此外,针对这一构型还开展了基于代理模型的设计参数单因素分析。发现在设计空间内,前缘压缩角、来流马赫数、和捕获翼钝化半径等3个关键参数均与捕获翼位置呈单调正比例关系。  相似文献
9.
为分析翼前缘形状变化对高压捕获翼构型气动性能的影响,基于一种锥体组合捕获翼概念构型,采用幂次函数和余弦函数组合形式对翼前缘型线进行了参数化设计,在比较了多项式和径向基函数两种代理模型的拟合精度基础上,以飞行马赫数7,飞行攻角0?为计算条件,结合使用均匀实验设计方法、计算流体力学、径向基函数代理模型方法和遗传算法,选择升阻比最大化为目标开展了数值优化,最后基于优化结果进行了单参数的灵敏度分析.优化结果表明,相对于基准外形而言,优化后构型升力系数增大了约8.1%,阻力系数减小了约12.2%,升阻比提高了约23.4%.此外,灵敏度分析结果表明升阻比与5个设计参数均呈非线性关系,其中展向角度对升阻比影响最大,其次为幂次曲线的比例参数,其余3个参数对升阻比的影响相对较弱.  相似文献
10.
A variable‐fidelity aerodynamic model based on proper orthogonal decomposition (POD) of an ensemble of computational fluid dynamics (CFD) solutions at different parameters is presented in this article. The ensemble of CFD solutions consists of two subsets of numerical solutions or snapshots computed at two different nominal orders of accuracy or discretization. These two subsets are referred to as the low‐fidelity and high‐fidelity solutions or data, whereby the low fidelity corresponds with computations made at the lower nominal order of accuracy or coarser discretization. In this model, the relatively inexpensive low‐fidelity data and the more accurate but expensive high‐fidelity data are considered altogether to devise an efficient prediction methodology involving as few high‐fidelity analyses as possible, while obtaining the desired level of detail and accuracy. The POD of this set of variable‐fidelity data produces an optimal linear set of orthogonal basis vectors that best describe the ensemble of numerical solutions altogether. These solutions are projected onto this set of basis vectors to provide a finite set of scalar coefficients that represent either the low‐fidelity or high‐fidelity solutions. Subsequently, a global response surface is constructed through this set of projection coefficients for each basis vector, which allows predictions to be made at parameter combinations not in the original set of observations. This approach is used to predict supersonic flow over a slender configuration using Navier–Stokes solutions that are computed at two different levels of nominal accuracy as the low‐fidelity and high‐fidelity solutions. The numerical examples show that the proposed model is efficient and sufficiently accurate. Copyright © 2016 John Wiley & Sons, Ltd.  相似文献
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