Reliability-based Optimization Design of Mechanical Components with Truncated Normal Distributions
Authors
Xiangdong He, Xiaoyan Hu, Wei Qi
Corresponding Author
Xiangdong He
Available Online November 2016.
- DOI
- 10.2991/icmia-16.2016.32How to use a DOI?
- Keywords
- Mechanical components, Truncated normal distribution, Maximum entropy, Reliability-based optimization design
- Abstract
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.
- Copyright
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xiangdong He AU - Xiaoyan Hu AU - Wei Qi PY - 2016/11 DA - 2016/11 TI - Reliability-based Optimization Design of Mechanical Components with Truncated Normal Distributions BT - Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016) PB - Atlantis Press SP - 174 EP - 177 SN - 1951-6851 UR - https://doi.org/10.2991/icmia-16.2016.32 DO - 10.2991/icmia-16.2016.32 ID - He2016/11 ER -