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连续体结构非概率可靠性拓扑优化
引用本文:罗阳军,亢战.连续体结构非概率可靠性拓扑优化[J].力学学报,2007,39(1):125-131.
作者姓名:罗阳军  亢战
作者单位:大连理工大学力学系 大连理工大学工程力学系,116024
基金项目:国家自然科学基金,国家重点基础研究发展计划(973计划)
摘    要:基于非概率可靠性 指标的定义,考虑材料、几何及荷载大小的不确定性,提出以结构体积最小化为目标、具有 位移非概率可靠性约束的三维连续体拓扑优化数学模型. 采用目标性能方法对优化模型进行 转换,给出目标性能值的伴随法灵敏度分析算法,利用数学规划法实现优化问题的求解. 数 值算例验证了所提出优化模型的正确性及算法的有效性,并指出相对于确定性优化而言,非 概率可靠性拓扑优化能够给出在考虑不确定参数和荷载条件下更合理的材料分布.

关 键 词:非概率可靠性  拓扑优化  凸模型  伴随法
文章编号:0459-1879(2007)01-0125-07
收稿时间:2006-04-18
修稿时间:2006-08-11

NON-PROBABILISTIC RELIABILITY-BASED TOPOLOGY OPTIMIZATION OF CONTINUUM STRUCTURES
Luo Yangjun,Kang Zhan.NON-PROBABILISTIC RELIABILITY-BASED TOPOLOGY OPTIMIZATION OF CONTINUUM STRUCTURES[J].chinese journal of theoretical and applied mechanics,2007,39(1):125-131.
Authors:Luo Yangjun  Kang Zhan
Affiliation:State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology, Dalian 116024, China
Abstract:It is of great importance to incorporate uncertainties into structural topology optimization problems. Based on the definition of the non-probabilistic reliability index, this paper proposes a mathematical model for topology optimization of 3D continuum structures with non-probabilistic reliability constraints on deformation. In this model, the uncertainties in material properties, geometrical dimensions and loading conditions are accounted for. The Performance Measure Approach (PMA) is adopted for transformation of the constraints. In this context, the adjoint variable scheme for sensitivity analysis of the target performance is discussed, which facilitates a mathematical programming solution of the optimization problem. Numerical investigations illustrate the applicability and the validity of the present model as well as the proposed numerical techniques. The computational results show that non-probabilistic reliability-based topology optimization may yield more reasonable material layouts than the conventional deterministic approach.
Keywords:non-probabilistic reliability  topology optimization  convex model  adjoint variable method
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