薄壳结构噪声约束下附加阻尼层的最小成本设计

薄壳附加阻尼层旨在降低薄壳结构的噪声,为此本文研究该系统成本最小的优化设计:以包含阻尼的结构各层的倒厚度为设计变量,以满足设计的噪声要求为约束条件,以结构成本(包括约束阻尼层结构的薄壳基础层、阻尼层、约束层的材料费用)作为目标函数.利用K-S函数得到最大振动加速度级来描述噪声,运用响应面方法显式化噪声约束函数,采用序列二次规划求解优化模型.算例表明,增加阻尼层和约束层的厚度有利于增强结构的阻尼和刚度,优化设计使得薄壳结构的造价降低8.44%,且使结构的振动综合指标降低了27.08%,从而使结构减振降噪性能得到了提高.     

一种快速稳健的并行多块结构动网格方法

为解决传统网格处理方法不能满足复杂外形在大设计空间内进行优化时对网格质量的要求的问题,提出了一种并行多块动网格方法,该方法基于初始外形的多块结构网格,根据优化过程中个体外形与初始外形拓扑结构相近的特性,利用体样条插值方法来拟合多块结构网格各块顶点的位移,得到几何外形变化后的拓扑结构,再利用无限插值方法并行地移动初始外形多块结构网格的边、面和块内的网格点,进行光顺处理后得到变形后几何外形的空间网格;该方法在保证网格质量的同时,可以极大地提高网格生成效率,本文以某翼身组合体为例结果表明,该方法在大设计空间的复杂外形设计问题中具有很强的实用性。     

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。     

AERODYNAMIC OPTIMIZATION OF HIGH-SPEED TRAIN BASED ON RBF MESH DEFORMATION

基于局部型函数三维参数化方法、改进的蚁群算法和改进的克里金（Kriging）代理模型,开展了列车头型的三维气动减阻优化设计研究。为了避免复杂几何外形大变形情况下千万量级网格的重复生成,提高高速列车头型优化设计的效率,引入了缩减控制点的径向基函数网格变形技术。优化结果表明：径向基函数网格变形技术在不降低网格质量的情况下可以有效缩短网格变形的时间消耗,能够用于复杂几何外形的气动优化设计;在给定的设计空间内,控制鼻锥外形的6个关键设计参数对列车气动阻力的影响呈单调递增关系;优化后,在满足约束条件的情况下,简化外形列车的整车气动阻力减小5.41%,头尾车减阻效果明显,中间车气动阻力基本不变。     

一种双转子罗茨鼓风机动力学传递模型

针对罗茨鼓风机振动噪声问题,将风机结构简化为转子、轴承、箱体、隔振器支撑、弹性基础等五个子结构,建立一种简化的空间柔性耦合动力学方程。采用子结构传递矩阵法推导各子系统动态传递矩阵及功率流的表达式;从结构噪声能量传输角度出发,分析了轴承刚度、箱体质量等结构参数变化对风机功率流传递性能的影响。结果表明:减小轴承的刚度,会降低输入到箱体的功率流;通过增加箱体质量,可以降低振动。此结果为具有双转子壳类机器的结构优化与动态设计提供理论基础。     

飞艇外型设计中曲线参数化方法的比较

采用合适的参数化方法快速准确地描述优化前后的几何结构是形状和气动性能优化问题的前提.目前常用的曲线参数化基本方法有三种:Bezier,B-spline和NURBS曲线.参数化曲线拟合的关键是从已知形状反求控制点的信息,本文综合对比了三种不同参数化方法关于飞艇外形拟合性能的差异.结果表明,与其它两种曲线参数化方法相比,N...     

地震作用下主-从结构的被动优化控制研究

提出了一种利用主－从结构间的相互作用来减少在地震作用下结构响应的控制方法。该方法通过优化设计主－从结构间的被动耗能单元,最大限度地耗散结构的相对振动能量能减小主、从结构的整体振动水平,或最大限度地吸收主结构的相对振动能量以减小主结构的振动。文章首先导出了在平稳白噪声激励下被动耗能单元优化刚度和阻尼的一般表达式,并分析了不同结构参数对控制效果的影响,比较了在不同的平稳过滤白噪声激励下主－从结构相对位     

车轮多边形激励下高速列车制动界面摩擦学行为分析

高速列车车轮多边形磨耗是一种沿车轮周向的不均匀磨耗,是列车服役过程中常见的车轮失效现象,其产生的剧烈轮轨激励严重威胁车辆系统服役可靠性. 制动系统作为保障高速列车服役安全的核心部件,其界面摩擦学行为直接受到轮轨激励的影响. 为探究车轮多边形激励下的制动界面摩擦学行为,建立了刚柔耦合车辆动力学模型和制动系统热机耦合有限元模型,并分别通过线路试验和台架试验验证了模型的正确性. 然后,提出一种考虑车轮多边形激励的制动界面摩擦学行为分析方法,能够真实地反映服役过程中制动界面摩擦学行为. 基于此,研究了不同车辆运行速度下车轮多边形激励对制动系统动态接触、温度以及振动特性的影响规律. 结果表明:车轮多边形磨耗导致系统接触面积、摩擦热、接触应力和振动等摩擦学行为更为复杂且剧烈. 此外,系统接触面积标准差和振动加速度均方根值随速度的增加而增大. 因此,车轮多边形磨耗对制动界面摩擦学行为具有不可忽略的影响. 该研究成果可为制动系统界面摩擦学行为研究及结构优化设计提供有效方法与工程指导.      

基于变密度法的平模台振加强筋布局优化

针对混凝土预制构件水平成型振动台(简称平模台振)振动效果改进的问题,提出了通过优化振动台面加强筋布局来提高其振动效果的方法.基于变密度拓扑优化法,建立以加强筋单元相对密度为设计变量,振动台面柔度最小为目标的优化模型,并进行灵敏度分析,采用最优准则法求解优化模型;根据拓扑优化结果,对振动台面加强筋进行布局优化,获得了合理的振动台面结构.通过仿真对比,优化后的振动台面既提高了结构固有频率、强度和刚度,又实现了结构轻量化,为平模台振的设计提供了指导.     

随机激励下考虑SSI效应的TMD-结构控制参数优化设计

TMD是高层建筑结构抗震和抗风等减震控制的主要方法,结构体系频率和TMD参数的适配性对控制效果起决定性作用。现有规范中忽略土对上部结的构的影响,使得TMD-结构振动控制与实际工程情况存在脱节。本文以结构的最大层间位移为控制指标,将优化算法与概率密度理论方法结合,以十层混凝土框架TMD-结构参数优化为例,研究了SSI对TMD结构控制效果的影响,并实现了随机激励下TMD建筑结构参数的优化设计。为TMD建筑结构最优化设计提供了新的思路和方法。     

Nonlinear buckling optimization of composite structures considering “worst” shape imperfections

Nonlinear buckling optimization is introduced as a method for doing laminate optimization on generalized composite shell structures exhibiting nonlinear behaviour where the objective is to maximize the buckling load. The method is based on geometrically nonlinear analyses and uses gradient information of the nonlinear buckling load in combination with mathematical programming to solve the problem. Thin-walled optimal laminated structures may have risk of a relatively high sensitivity to geometric imperfections. This is investigated by the concepts of “worst” imperfections and an optimization method to determine the “worst” shape imperfections is presented where the objective is to minimize the buckling load subject to imperfection amplitude constraints. The ability of the nonlinear buckling optimization formulation to solve the laminate problem and determine the “worst” shape imperfections is illustrated by several numerical examples of composite laminated structures and the application of both formulations gives useful insight into the interaction between laminate design and geometric imperfections.     

Surrogate based optimization of a laidback fan-shaped hole for film-cooling

The present work has been performed to evaluate the effects of geometric variables of a laidback fan-shaped hole on the film-cooling effectiveness using a Reynolds-averaged Navier-Stokes analysis, and to optimize the shape of the hole using the Kriging meta-modeling technique. The shape of the laidback fan-shaped hole is defined by four geometric design variables, namely, the injection angle of the hole, the lateral expansion angle of the diffuser, the forward expansion angle of the hole, and the ratio of the length to the diameter of the hole. From the results of a parametric study, effects of design variables on the film-cooling effectiveness are evaluated. The objective function, which is defined as the spatially averaged film-cooling effectiveness, is numerically evaluated through a RANS analysis at design points selected through Latin hypercube sampling. The Kriging model is used to approximate these objective function values at the design points, and sequential quadratic programming is used to search for the optimal point from the constructed Kriging model. The optimizations are carried out for two different blowing ratios, 0.5 and 2.5. The film-cooling effectiveness has been successfully improved with the optimization as compared to the reference geometry.     

基于Kriging的泡沫填充锥形薄壁结构耐撞性6σ稳健性优化设计

锥形薄壁结构的耐撞性设计过程中,其设计变量和噪声因素都具有一定的波动性,都存在不确定性.传统的优化设计方法由于忽略不确定因素的影响,当设计变量产生波动时,往往会引起设计最优目标超出约束界限或者目标函数对设计变量的波动极为敏感,从而导致设计失效.为了考虑参数的不确定影响,论文提出了一种结合试验设计技术、Kriging近似...     

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...     

基于虚荷载变量的形状优化和灵敏度分析

基于选择施加在结构“控制点”上的虚荷载作为优化设计变量,针对一种新的承受约束的形状优化数值方法进行了研究。借助于节点位移与虚荷载之间的线性关系,提出了一种新的计算灵敏度系数的解析方法。利用节点移动速度域概念构造了优化新形状产生的计算公式,以结构中节点的最大应力最小化作为优化目标,通过控制网格结点的最大位移量,较好地解决了单元网格在形状优化中的扭曲问题。对三个不同的实例成功地完成了形状优化。     

Integration of uniform design and quantum-behaved particle swarm optimization to the robust design for a railway vehicle suspension system under different wheel conicities and wheel rolling radii

This paper proposes a systematic method, inte-grating the uniform design(UD)of experiments and quantum-behaved particle swarm optimization(QPSO),to solve the problem of a robust design for a railway vehicle suspension system. Based on the new nonlinear creep model derived from combining Hertz contact theory, Kalker's linear the-ory and a heuristic nonlinear creep model,the modeling and dynamic analysis of a 24 degree-of-freedom railway vehi-cle system were investigated.The Lyapunov indirect method was used to examine the effects of suspension parameters, wheel conicities and wheel rolling radii on critical hunting speeds.Generally,the critical hunting speeds of a vehicle sys-tem resulting from worn wheels with different wheel rolling radii are lower than those of a vehicle system having origi-nal wheels without different wheel rolling radii.Because of worn wheels, the critical hunting speed of a running rail-way vehicle substantially declines over the long term. For safety reasons,it is necessary to design the suspension sys-tem parameters to increase the robustness of the system and decrease the sensitive of wheel noises.By applying UD and QPSO,the nominal-the-best signal-to-noise ratio of the sys-tem was increased from?48.17 to?34.05 dB.The rate of improvement was 29.31%.This study has demonstrated that the integration of UD and QPSO can successfully reveal the optimal solution of suspension parameters for solving the robust design problem of a railway vehicle suspension sys-tem.     

SELECTION OF OBJECTIVE FUNCTIONS AND APPLICATION OF GENETIC ALGORITHMS IN DAMPING DESIGN OF PIPE SYSTEM

The vibration failure of pipe system of aeroengine seriously influences the safety of aircraft. Its damping design is determined by the selection of the design target, method and their feasibility. Five objective functions for the vibration design of a pipeline or pipe system are introduced, namely, the frequency, amplitude, transfer ratio, curvature and deformation energy as options for the optimization process. The genetic algorithms (GA) are adopted as the optimization method, in which the selection of the adaptive genetic operators and the method of implementation of the GA process are crucial. The optimization procedure for all the above objective functions is carried out using GA on the basis of finite element software-MSC/NASTRAN.The optimal solutions of these functions and the stress distribution on the structure are calculated and compared through an example, and their characteristics are analyzed. Finally we put forward two new objective functions, curvature and deformation energy for pipe system optimization. The calculations show that using the curvature as the objective function can reflect the case of minimal stress, and the optimization results using the deformation energy represent lesser and more uniform stress distribution. The calculation results and process showed that the genetic algorithms can effectively implement damping design of engine pipelines and satisfy the efficient engineering design requirement.     

Application of dual kriging to structural shape optimization based on the boundary contour method

Summary The paper presents an approach in which the coupling of dual kriging and the boundary contour method (BCM) is applied to structural shape optimization problems in mechanical engineering design. The problems consist of optimizing the shape of an elastic body, which requires minimizing an objective function subject to some given constraints, such as those of displacement, stress or manufacturing. The originality of the present work is involved with the use of two novel methods that are combined here to solve structural shape optimization problems. The first one, called dual kriging, is a general, versatile interpolation and geometric modeling tool. The second one is a new variant of the boundary element method (BEM), called the BCM, which achieves a further reduction in dimensionality of analysis problems. Based on the advantages of these two methods, the coupling approach presented here is expected to offer an effective as well as a straightforward manner for solving shape optimal design problems. Received 18 December 1997; accepted for publication 21 April 1998     

基于遗传算法和梯度算法压电层合结构的最优形状控制

基于压电层合结构的有限元方程,运用ANSYS/APDL语言,编制了力-电耦合有限元分析程序(MPFEMP).以该程序为计算基础,采用遗传算法和一阶梯度优化算法,以压电片尺寸为设计变量,以压电层合梁和板的预期位移或最小重量为目标函数,给定初始变量和适应度函数,通过循环迭代MPFEMP计算程序,研究了多点控制的压电层合梁板结构的形状最优控制.结论对比分析证明了两种优化方法分析压电层合结构的有效性,同时,对复杂多层智能结构的最优形状控制和主动控制研究具有一定的参考价值.     

蒙皮点阵一体化支撑结构的移动可变形组件优化设计及空间站应用

中国空间站是我国研制的系统最为复杂的载人航天器,其中有效载荷支撑结构的高效轻量化设计是工程研制过程中遇到的技术难题。本文介绍了受晶体对称性启发的增材制造自支撑三维点阵结构设计方法,发展了基于蒙皮点阵一体化结构形式的移动可变形组件（MMC）拓扑优化方法,完成了面向增材制造的中国空间站某相机支撑结构的优化设计,该结构采用激光选区熔化成形（SLM）工艺制造,通过了力学试验考核,实现结构减重50%,基频提高35%,完成了基于MMC方法的蒙皮点阵一体化结构在我国载人航天领域的首次型号应用与在轨验证。