Application of ANN Back-Propagation for An Alloy Reinforced Ceramics/Metal Composite Under Extra-Low Cycle Bending Fatigue Loading

doi:10.4028/www.scientific.net/AMR.105-106.108

CORC > 兰州理工大学 > 兰州理工大学 > 机电工程学院

	Application of ANN Back-Propagation for An Alloy Reinforced Ceramics/Metal Composite Under Extra-Low Cycle Bending Fatigue Loading
	Rui, Zhi-yuan; Duan, Hong-yan; Lei, Chunli; Wei, Xing-chun
	2010
关键词	Artificial Neural Networks Ceramic composites Fracture design
卷号	105-106
DOI	10.4028/www.scientific.net/AMR.105-106.108
页码	108-111
英文摘要	Artificial neural network (ANN) back-propagation model was developed to predict the fracture design parameters in reinforced ceramic matrix composites (CMCS).Training ANN model was introduced at first. And then the Training data for the development of the neural network model was obtained from the experiments. The input parameters, the presetting deflection and tip radius of the notch, and the output, the cycle times of fracture were used during the network training. The neural network architecture is designed. The ANN model was developed using back propagation architecture with three layers jump connections, where every layer was connected or linked to every previous layer. The number of hidden neurons was determined according to special formula. The performance of system is summarized at last. The ANN model exhibited excellent comparison with the experimental results. It was concluded that predicted fracture design parameters by the trained neural network model seem more reasonable compared to approximate methods. It is possible to claim that, ANN is fairly promising prediction technique if properly used.
会议录	CHINESE CERAMICS COMMUNICATIONS
会议录出版者	TRANS TECH PUBLICATIONS LTD
会议录出版地	LAUBLSRUTISTR 24, CH-8717 STAFA-ZURICH, SWITZERLAND
语种	英语
WOS研究方向	Materials Science
WOS记录号	WOS:000288352100029
内容类型	会议论文
源URL	[http://119.78.100.223/handle/2XXMBERH/37690]
专题	机电工程学院
通讯作者	Rui, Zhi-yuan
作者单位	Lanzhou Univ Technol, Key Lab Digital Mfg Technol & Applicat, Minist Educ, Lanzhou 730050, Peoples R China
推荐引用方式 GB/T 7714	Rui, Zhi-yuan,Duan, Hong-yan,Lei, Chunli,et al. Application of ANN Back-Propagation for An Alloy Reinforced Ceramics/Metal Composite Under Extra-Low Cycle Bending Fatigue Loading[C]. 见:.