连续体结构非概率可靠性拓扑优化

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.     

桁架结构概率-非概率混合可靠性拓扑优化

研究了桁架结构概率-非概率混合可靠性拓扑优化问题。建立了以结构重量为目标函数、混合可靠性指标为约束条件的拓扑优化数学模型,针对强度为随机变量和应力为区间变量、强度为区间变量和应力为随机变量两种情况推导了可靠性指标对设计变量的灵敏度计算公式。实例结果表明：混合可靠性拓扑优化的截面尺寸和结构重量相对于非概率可靠性优化都更大,使得结构除了能够容许载荷存在一定变异程度外,也允许位移和强度存在一定变异程度。     

基于功能度量法的桁架结构非概率可靠性拓扑优化方法研究

在结构优化中,拓扑优化相比于尺寸优化和形状优化,设计空间更加广泛,因而能够取得更大的效益.近年来,结构拓扑优化逐渐成为人们研究的热点和难点.随着科学技术的发展,工程结构越来越复杂,材料本身和外部环境的不确定性影响加剧,因此在拓扑优化中需要考虑不确定性的影响.本文研究了桁架结构的非概率可靠性拓扑优化问题,用区间模型来量化...     

考虑非概率可靠性的结构柔顺度拓扑优化设计

实际工程中广泛存在的不确定性可能对结构拓扑设计产生重要影响。基于不确定性的多椭球凸模型描述及非概率可靠性指标的定义,建立了材料体积约束和不确定参数范围约束下、结构柔顺度极小极大化为目标的非概率可靠性拓扑优化数学模型。结合移动渐进线方法,基于单循环策略实现该连续Minimax优化问题的求解。经典算例尺寸优化设计结果说明了...     

基于可靠性的桁架结构拓扑优化设计

建立了以杆截面为设计变量、结构重量极小化为目标、具有位移、应力等性态可靠性约束的桁架结构拓扑优化设计数学模型．通过引入可靠性安全系数，并利用结构力学的三个基本方程，将结构的位移和杆件应力可靠性约束等价显示化为设计变量的线性函数，使原基于可靠性的优化模型转化为常规的序列线性规划问题，利用修正的单纯形法求解．算例表明文中提出的方法既简单又有效．     

基于凸模型的结构非概率可靠性优化

基于不确定性的凸模型描述,研究考虑非概率可靠性指标约束的结构优化问题. 该优化模型是一个内层优化为极小极大问题的嵌套优化模型. 为了有效地求解该模型,提出了一种基于目标性能的优化方法,通过寻找目标性能点来判断约束的满足情况,从而避免直接计算以极小极大(min-max)问题定义的非概率可靠性指标. 提出的数值方法可处理材料、几何及载荷等不确定性参数,并且目标性能值的灵敏度计算公式简便,算法稳定. 数值算例验证了所提出方法的正确性,也表明算法比文献中已有方法更为有效。     

桁架结构非概率可靠性形状优化设计

采用区间变量描述不确定参数,提出一种桁架结构非概率可靠性形状优化方法。建立了以截面尺寸和节点坐标为设计变量,以结构重量为目标函数,具有非概率可靠性指标约束的桁架结构形状优化数学模型。采用量纲归一化对截面尺寸和节点坐标进行了变量统一;运用均值点法对功能函数进行泰勒线性近似求解得到相应的非概率可靠性指标,并采用序列二次规划算法对优化模型进行求解。三个算例分析结果表明,算例均能快速稳定地收敛到最优解,结果符合工程结构设计经验,验证了本文所提方法的准确性和有效性。     

具有频率约束的桁架结构可靠性拓扑优化

基于结构的可靠性,建立具有频率约束的桁架结构拓扑优化模型,即以桁架的横截面积为设计变量、重量最小为优化目标,位移、应力等可靠性及基频为约束,然后从优化策略--拓扑组方法出发,先考虑桁架结构可能的优化布局,以避免优化过程中节点和杆件的增加或减少引起解的奇异性,且可在一定程度上减少计算工作量.从工程实际出发,对结构系统的可靠性隐形约束进行等价显化处理,最终转化为常规的横截面积优化问题.算例表明了文中所提方法的简单性、有效性和合理性.     

结构非概率集合可靠性模型

针对概率可靠性模型和模糊可靠性模型关于原始数据要求高的局限性,将影响结构可靠性的不确定性信息用区间集合来描述,提出了一种新的结构可靠性分析的非概率集合模型. 以建立的结构应力-强度非概率集合干涉模型为基础,用结构安全域的体积与基本区间变量域的总体积之比作为结构非概率集合可靠性的度量,相对于前人的研究结果具有更加明确的意义,并证明了它与概率可靠性度量的相容性.     

基于区间模型的结构非概率可靠性优化

采用区间变量描述不确定参数,研究了结构非概率可靠性优化问题。基于区间模型描述不确定信息这一前提,针对Elishakoff的非概率可靠性指标,给出了其几何解释和求解方法。建立了以结构重量为目标函数、以非概率可靠性指标为约束条件的非概率可靠性优化模型。算例分析表明:该非概率可靠性优化方法能够考虑不确定信息的影响,对结构重量进行合理分配。该方法为结构非概率可靠性优化提供了一种新的思路。     

Topology optimization of truss structures with systematic reliability constraints under multiple loading cases

In this paper, a mathematical model for topology optimization of truss structures with constraints of displacement and system reliability under multiple loading cases is constructed. In order to avoid the difficulty of computing the structure's system reliability, a solving approach is presented in which the failure probability of system is divided into the sum of all bars' failure probability by means of reliability distribution. In addition, by drawing into the reliability safety factor and the fundamental relationship in structural mechanics, all probability constraints of displacement and stress are equivalently displayed as conventional form and linear function of the design variables. The optimization problem with multiple constraints is treated by the compact constraint tactics and is solved by the improved simplex method. The examples show that the approach proposed in this paper is feasible and efficient. The project supported by the National Natural Science Foundation of China.     

基于非概率集合可靠性的结构优化设计

在结构非概率集合可靠性模型的基础上,考虑结构系统中的参数不确定性,提出了基于非概率可靠性的结构优化方法。该方法将不确定量看作是区间数,通过区间运算得到结构的非概率可靠性,并以结构的非概率可靠性小于指定可靠性指标为约束条件,利用乘子法对结构的优化问题进行求解。最后应用本文方法对一桁架结构进行总质量优化,优化结果验证了本文...     

A non-probabilistic reliability topology optimization method based on aggregation function and matrix multiplication considering buckling response constraints

A non-probabilistic reliability topology optimization method is proposed based on the aggregation function and matrix multiplication. The expression of the geometric stiffness matrix is derived, the finite element linear buckling analysis is conducted,and the sensitivity solution of the linear buckling factor is achieved. For a specific problem in linear buckling topology optimization, a Heaviside projection function based on the exponential smooth growth is developed to eliminate the gray cells. The aggregation function method is used to consider the high-order eigenvalues, so as to obtain continuous sensitivity information and refined structural design. With cyclic matrix programming,a fast topology optimization method that can be used to efficiently obtain the unit assembly and sensitivity solution is conducted. To maximize the buckling load, under the constraint of the given buckling load, two types of topological optimization columns are constructed. The variable density method is used to achieve the topology optimization solution along with the moving asymptote optimization algorithm. The vertex method and the matching point method are used to carry out an uncertainty propagation analysis, and the non-probability reliability topology optimization method considering buckling responses is developed based on the transformation of non-probability reliability indices based on the characteristic distance. Finally, the differences in the structural topology optimization under different reliability degrees are illustrated by examples.     

基于区间模型的结构非概率稳健优化设计

采用区间模型描述不确定参数,在考虑传统约束条件基础上,增加了可靠性指标作为约束条件,研究结构的稳健性优化设计.从非概率可靠性指标的几何意义出发,寻找非概率可靠性指标目标值与不确定参数的波动范围的关系,将非概率的稳健优化设计转化为两层优化模型.对于非线性功能函数,内层优化根据非概率可靠性指标的波动范围最小化功能函数,从而避免了内层优化直接计算非概率可靠性指标难的问题.对于线性功能函数,不确定性参数可以表示为非概率可靠性指标目标值的显示表达式,两层稳健优化转化为确定性的单层优化.该方法优化描述明确清晰,计算公式简便,计算效率高.算例验证了本文所提方法的可行性和正确性.     

Numerical performance of two formulations of truss topology optimization

The present paper studies topology optimization of truss structures in multiple loading cases and with stress constraints. It is pointed out in the paper that the special difficulty of adding bars and/or deleting bars from structure in the numerical algorithm of truss topology optimization is caused by the discontinuity of stress functions at the zero cross sectional area in the conventional formulation. In a new formulation, we replace the stress constraints by new constraints. The new constraints retain the same feasibility of the stress constraints, but are continuous in the closed interval up to zero cross sectional area. The new formulation enables us to solve topology optimization problem in the frame of the existing FEM software and mathematical programming techniques. Powell constrained variable metric method is applied to a number of examples of truss topology optimization. Numerical performances of the two formulations are compared. It is shown that in the conventional formulation the iteration of numerical algorithm may be blocked by discontinuity of the stress constraint and often stops at a nonoptimum solution. And in the new formulation the bar adding and bar deleting is done rationally and a local optimum, even the global optimum can be obtained by iteration. The project supported by the National Natural Science Foundation of China     

The topological optimization for truss structures with stress constraints based on the exist-null combined model

A new exist-null combined model is proposed for the structural topology optimization. The model is applied to the topology optimization of the truss with stress constraints. Satisfactory computational result can be obtained with more rapid and more stable convergence as compared with the cross-sectional optimization. This work also shows that the presence of independent and continuous topological variable motivates the research of structural topology optimization. The project supported by the State Key Laboratory for Structural Analysis of Industrial Equipment, Dalian University of Technology.