Study on the stress statistics and its reliability of the structure based on WNN | |
Gao, Lihong3,4; Xu, Gening2; Yang, Ping4; Yao, Qiang1; Zhang, Min1 | |
刊名 | Information Technology Journal
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2013 | |
卷号 | 12期号:23页码:7101-7104 |
关键词 | Probability distributions Reliability Statistical methods Actual conditions Fatigue reliability High-efficiency Loading distribution Structure reliability analysis Structure-based Time consumption Wavelet neural networks |
ISSN号 | 18125638 |
DOI | 10.3923/itj.2013.7101.7104 |
英文摘要 | A large amount of structural distribution data are required in the structure reliability analysis which usually obtained by the simulation or real test. But in fact large machine structure with low fault rate is often unable to get necessary statistic data. And the numerical simulation is very enormous for human and time consumption. Taking the advantages of the real test and simulation, the simulation is done by the Wavelet Neural Network (WNN) and in the real test the arm frame crane is looked as an object. Through the simulation the more samples are obtained to perfect the real test data. Applying to the stress statistical analysis, the results show that the measured stress data as samples to train WNN can further ensure actual prediction. And it is very high efficiency to predict the loading distribution data using the trained WNN. Its results can also meet the requirements of the project. And then the fatigue reliability of structure is computered using the probability distribution and the stress data. The application to the structure shows that the results can reflect the actual conditions. © 2013 Asian Network for Scientific Information. |
语种 | 英语 |
出版者 | Asian Network for Scientific Information, 308-Lasani Town, Sargodha Road, Faisalabad, Pakistan |
内容类型 | 期刊论文 |
源URL | [http://ir.lut.edu.cn/handle/2XXMBERH/113738] ![]() |
专题 | 高等教育研究所(教学质量监督与评估工作办公室、本科教学督导委员会研究生督导委员会) |
作者单位 | 1.Shanxi Northern Machinery Manufacturing Co., LTD., Taiyuan, 030009, China 2.School of Mechanical Engineering, Taiyuan University of Science and Technology, Taiyuan, 030024, China; 3.Department of Mechanical Engineering, Taiyuan Institute of Technology, Taiyuan, 030008, China; 4.School of Mechanical Electronic Engineering, Lanzhou University of Technology, Lanzhou, 730050, China; |
推荐引用方式 GB/T 7714 | Gao, Lihong,Xu, Gening,Yang, Ping,et al. Study on the stress statistics and its reliability of the structure based on WNN[J]. Information Technology Journal,2013,12(23):7101-7104. |
APA | Gao, Lihong,Xu, Gening,Yang, Ping,Yao, Qiang,&Zhang, Min.(2013).Study on the stress statistics and its reliability of the structure based on WNN.Information Technology Journal,12(23),7101-7104. |
MLA | Gao, Lihong,et al."Study on the stress statistics and its reliability of the structure based on WNN".Information Technology Journal 12.23(2013):7101-7104. |
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