Reliability-based Optimization Design of Mechanical Components with Truncated Normal Distributions

被引：0
|
作者：
He, Xiangdong [1 ]
Hu, Xiaoyan [1 ]
Qi, Wei [1 ]
机构：
[1] Dalian Polytech Univ, Sch Mech Engn & Automat, Dalian 116034, Peoples R China
来源：
PROCEEDINGS OF THE 2016 5TH INTERNATIONAL CONFERENCE ON MEASUREMENT, INSTRUMENTATION AND AUTOMATION (ICMIA 2016) | 2016年 / 138卷
关键词：
Mechanical components; Truncated normal distribution; Maximum entropy; Reliability-based optimization design;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In some engineering applications, the probability distributions of some random variables are truncated. Under the conditions, if traditional reliability-based optimization design is directly used, difficulties may arise and this treatment may result in large errors in reliability-based optimization design. In view of above mentioned problems, the paper is to present a new reliability-based optimization design method that solves the problems with truncated normal random variables. The numerical examples are investigated to demonstrate the effectiveness and feasibility of the present method.
引用
收藏
页码：174 / 177
页数：4
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