轻型空间相机主承力基板结构拓扑优化计

针对目前轻型空间相机主承力基板在结构设计过程中难于同时保证重量轻且刚度高的问题,提出了采用拓扑优化设计思想进行设计的方案.通过建立基于变密度方法的拓扑优化设计数学模型,运用Nastran软件对相机主承力基板进行拓扑优化设计,给出了主承力基板的最优设计方案.经过拓扑优化后相机主承力基板质量从初始的36.8 kg降低到15.4 kg,轻量化程度达58.2%.采用有限元分析方法对拓扑优化的结果进行了模态分析,以验证主承力基板刚度分布是否合理.通过0.5 g扫频振动试验对有限元分析结果进行验证,振动试验结果表明,主承力基板结构一阶自然频率理论分析与试验结果偏差1.86%,充分证明理论分析结果的正确性和准确性.整个优化设计过程证明,采用拓扑优化设计方法大大提高了研制效率,增强了空间相机主承力基板结构的性能,有效降低了基板的重量,满足系统设计要求.     

卫星结构的拓扑优化与灵敏度分析

在已知某卫星主承力结构的空间大小、约束及载荷条件的情况下，通过对一连续体进行拓扑优化得出主承力结构的最优结构形式。并在此基础上对卫星上十五个结构参数进行了灵敏度分析和尺寸优化，计算结果证明由连续体通过拓扑优化得到桁架结构的最优拓扑是可行的，若再结合灵敏度分析及尺寸优化，可以大幅度减轻卫星结构重量，改善卫星结构的动力特性。     

Collaborative optimization design of process parameter and structural topology for laser additive manufacturing

High-resolution laser additive manufacturing (LAM) significantly releases design freedom, promoting the development of topology optimization (TO) and advancing structural design methods. In order to fully take advantage of voxelated forming methods and establish the quantitative relationship between the mechanical properties of printing components and multiple process factors (laser- and process- parameters), the concurrent optimization design method based on LAM should cover the process-performance relationship. This study proposes a novel artificial intelligence-facilitated TO method for LAM to concurrently design microscale material property and macroscale structural topology of 3D components by adopting heuristic and gradient-based algorithms. The process–structure–property relationship of selective laser sintering is established by the back propagation neural network, and it is integrated into the TO algorithm for providing a systematic design scheme of structural topology and process parameter. Compared with the classical optimization method, numerical examples show that this method is able to improve the mechanical performance of the macrostructure significantly. In addition, the collaborative design method is able to be widely applied for complex functional part design and optimization, as well as case studies on artificial intelligence-facilitated product evaluation.     

Topology optimization of support structure of telescope skin based on bit-matrix representation NSGA-II

Non-dominated sorting genetic algorithm II（NSGA-II）with multiple constraints handling is employed for multi-objective optimization of the topological structure of telescope skin,in which a bit-matrix is used as the representation of a chromosome,and genetic algorithm（GA）operators are introduced based on the matrix.Objectives including mass,in-plane performance,and out-of-plane load-bearing ability of the individuals are obtained by fnite element analysis（FEA）using ANSYS,and the matrix-based optimization algorithm is realized in MATLAB by handling multiple constraints such as structural connectivity and in-plane strain requirements.Feasible confgurations of the support structure are achieved.The results confrm that the matrix-based NSGA-II with multiple constraints handling provides an effective method for two-dimensional multi-objective topology optimization.     

Integrated optimization design of smart morphing wing for accurate shape control

Smart morphing wing, which is equipped with smart materials and able to change structural geometry adaptively, can further improve aerodynamic efficiency of aircraft. This paper presents a new integrated layout and topology optimization design for morphing wing driven by shape memory alloys (SMAs). By simultaneously optimizing the layout of smart actuators and topology of wing substrate, the ultimately determined configuration can achieve smooth, continuous and accurate geometric shape changes. In addition, aerodynamic analysis is carried out to compare smart morphing wing with traditional hinged airfoil. Finally, the optimized smart wing structure is constructed and tested to demonstrate and verify the morphing functionality. Application setbacks are also pointed out for further investigation.     

Simultaneous optimization of structure together with attached tuned mass dampers considering dynamic performance

Tuned Mass Dampers(TMDs) are often attached to a main structure to reduce vibration, and the TMDs’ positions are important to affect the structural dynamic performance. However, the TMDs’ positions and the material layout of the structure act on each other. This paper suggests a design optimization method by combining the topology optimization of the main structure and the layout of the attached TMDs under harmonic excitations. The main structure with the attached TMDs are modeled by the continu...     

Structural topology optimization under stationary random base acceleration excitations

Structural topology optimization subjected to stationary random base acceleration excitations is investigated in this paper. In the random response analysis, the Large Mass Method(LMM) which attributes artificial large mass values at each driven nodal Degree Of Freedom(DOF) to transforming the base acceleration excitations into force excitations is proposed. The Complete Quadratic Combination(CQC) which is commonly used to calculate the random responses in previous optimization has been proven to be computationally expensive especially for large-scale problems. In order to conquer this difficulty, the Pseudo Excitation Method(PEM) and the combined method of PEM and Mode Acceleration Method(MAM) are adopted into the dynamic topology optimization, and random responses are calculated using these two methods to ascertain a high efficiency over the CQC. A density-based topology optimization method minimizing dynamic responses is then formulated based on the integration of LMM and PEM or the combined method of PEM and MAM. Numerical examples are presented to verify the accuracy of the proposed schemes in dynamic response analysis and the quality of the optimized design in improving dynamic performance.     

Topology optimization of joint load control with geometrical nonlinearity

This paper presents an extended topology optimization approach considering joint load constraints with geo-metrical nonlinearity in design of assembled structures. The geometrical nonlinearity is firstly included to reflect the structural response and the joint load distribution under large deformation. To avoid a failure of fastener joints, topology optimization is then carried out to minimize the structural end compliance in the equilibrium state while controlling joint loads intensities over fasteners. During nonlinear analysis and optimization, a novel implementation of adjoint vector sensitivity analysis along with super element condensation is introduced to address numerical instability issues. The degrees of freedom of weak regions are condensed so that their influences are excluded from the iterative Newton-Raphson (NR) solution. Numerical examples are presented to validate the efficiency and robustness of the proposed method. The effects of joint load constraints and geometrical nonlinearity are highlighted by comparing numerical optimization results.     

光纤通道在火箭控制系统中的应用

提出了光纤通道在火箭控制系统中的应用设想。首先介绍了光纤通道点对点结构、仲裁环形结构、交换结构在火箭控制系统的应用,然后针对目前火箭控制系统的特点,提出了一种光纤通道和其他航天数字总线混合的拓扑结构形式。这种形式可以适应火箭控制系统不同级段不同速率的要求,也可以满足目前总线系统过渡的需要。     

基于频率的空间相机主体结构优化设计分析

通过对一连续体进行基于基频最大化的拓扑优化,得出主体结构的最优结构形式;对优化结果进行了有限元仿真计算,与传统设计方法所得的相机结构进行对比,基频稍有提高而质量有较大减小。结果表明:采用拓扑优化设计方法能够缩短设计周期,有效减小结构质量,提高了相机主体结构的动刚度,设计结果完全满足系统需求。