桁架
有界函数
数学优化
最优化问题
概率逻辑
稳健优化
领域(数学分析)
连续优化
计算机科学
数学
工程类
多群优化
结构工程
数学分析
人工智能
作者
Isaac Elishakoff,Raphael T. Haftka,J. Fang
标识
DOI:10.1016/0045-7949(94)90405-7
摘要
In many cases precise probabilistic data are not available on uncertainty in loads, but the magnitude of the uncertainty can be bound. This paper proposes a design approach for structural optimization with uncertain but bounded loads. The problem of identifying critical loads is formulated mathematically as an optimization problem in itself (called anti-optimization), so that the design problem is formulated as a two-level optimization. For linear structural analysis it is shown that the antioptimization part is limited to consideration of the vertices of the load-uncertainty domain. An example of a ten-bar truss is used to demonstrate that we cannot replace the anti-optimization process by considering the largest possible loads.
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