Optimal Design of Interval Reliability for Uncertain Structures

被引：0
|
作者：
Wang X.-G. [1 ]
Xu P.-X. [1 ]
Li S.-J. [1 ]
Ma R.-M. [1 ]
机构：
[1] School of Mechanical Engineering & Automation, Northeastern University, Shenyang
来源：
Dongbei Daxue Xuebao/Journal of Northeastern University | 2020年 / 41卷 / 04期
关键词：
Direct interval optimization; Interval reliability; Nested genetic algorithm; Radial basis function neural network; Uncertain structure;
D O I：
10.12068/j.issn.1005-3026.2020.04.012
中图分类号：
学科分类号：
摘要：
The interval reliability for uncertain structures was studied and an optimal design model based on interval reliability was established. By using the model of nested genetic algorithm and radial basis function neural network, the direct optimization of the interval was carried out, which solves the problem of the optimal design based on the interval reliability and avoids the complicated transformation process of the indirect model. The disturbance of the design vector in actual engineering was fully considered, and the constraint of the objective function fluctuation in this case was proposed, so that the objective function and the constraint function still meet the reliability requirements under disturbance. The numerical examples verified the validity and superiority of the model. The proposed model was applied to the optimization of driving slabs with interval uncertain parameters, whose results verified its feasibility and engineering effectiveness. © 2020, Editorial Department of Journal of Northeastern University. All right reserved.
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页码：521 / 527
页数：6
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