• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2017, Vol. 53 ›› Issue (2): 135-142.doi: 10.3901/JME.2017.02.135

• 运载工程 • 上一篇    下一篇

节点位置不确定下桁架结构稳健拓扑优化

付志方1, 王春洁1, 2   

  1. 1. 北京航空航天大学机械工程及自动化学院 北京 100191;
    2. 北京航空航天大学虚拟现实技术与系统国家重点实验室 北京 100191
  • 出版日期:2017-01-20 发布日期:2017-01-20
  • 作者简介:

    付志方,男,1987年出生,博士研究生。主要研究方向为结构优化。

    E-mail:zhifang_fu@buaa.edu.cn

    王春洁(通信作者),女,1955年出生,博士,教授,博士研究生导师。主要研究方向为机械设计、优化、仿真。

    E-mail:wangcj@buaa.edu.cn

Robust Topology Optimization of Truss Structure under Uncertain Nodal Locations

FU Zhifang1, WANG Chunjie1, 2   

  1. 1. School of Mechanical Engineering and Automation, Beihang University, Beijing 100191;
    2. State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing 100191
  • Online:2017-01-20 Published:2017-01-20

摘要:

针对结构节点位置存在小范围不确定性,提出了一种桁架结构稳健拓扑优化方法。由于工程制造或者装配误差,桁架结构节点位置常常存在误差,且此误差尺寸相对于结构单元尺寸很小。该桁架结构稳健拓扑优化问题的设计变量为各单元截面积,优化目标是结构柔度均值和标准差的加权和。优化过程中需要计算结构刚度矩阵的逆,由于结构存在节点位置不确定性,刚度矩阵是变化的,使得计算刚度矩阵的逆变得十分困难。然而,基于纽曼展开和泰勒级数展开,可将该小不确定量问题转化为较为简单的等效不确定载荷结构优化问题。为了利用优化准则法进行求解,利用伴随法进一步推导了目标函数的灵敏度信息。通过数值算例验证了该方法的有效性,并说明桁架结构节点位置不确定对结构优化结果有很大影响。

关键词: 节点位置不确定, 灵敏度, 稳健拓扑优化, 优化准则法, 桁架结构

Abstract: An algorithm is presented for solving truss structural robust topology optimization problems with small uncertainty in the location of the structural nodes. This type of uncertainty would typically arise from fabrication or assembly errors where the tolerances for the node locations are small in relation to the length scale of the structural elements. The design variable of the truss structural robust topology optimization is the sectional areas of the truss elements. The objective is to minimize the weighted sum of expectation and standard deviation of compliance. This optimization problem is computationally difficult because it involves variations of the inverse of the structural stiffness matrix. It is shown, however, that for small uncertainties the problem can be recast into a simpler but equivalent structural optimization problem with equivalent uncertain loads based on Neumann expansion and Taylor series expansion. Sensitivity of the objective is derived based on adjoint method, and then the method of Optimality criteria can be used to solve the problem. Simple examples are presented to verify the effectiveness of the proposed method, and the results demonstrate that nodal location uncertainties can have dramatic impact on optimal design.

Key words: optimality criteria method, robust topology optimization, sensitivity, uncertain nodal location, truss structure