Title :
Possibilistic reliability ananlysis for complex structure system based on neural network
Author :
Yang, Ruigang ; Xu, GeNing
Author_Institution :
Department of Machinery and Electronics Engineering, Taiyuan University of Science & Technology, China
Abstract :
Steel structure system deteriorates over time due to environmental effects, material fatigue, and overloading. Safety assessment of existing steel structure system requires the development of a methodology that allows for an accurate evaluation of reliability. Steel structures are the supporting elements. Recent accidents occur in steel structures. The fuzzy reliability analysis of complex structure systems is important in engineering. Through calculating possibilistic reliability on complex structure system and simulating the actual distribution of load by Neural Network, a new methodology for accessing complex steel structure system safety is developed. The Range of CAP(Control ambit parameter) and failure road length is suggested. The method used for modeling and reliability of engineering project provides a theoretical and practicing reference for engineering.
Keywords :
Ad hoc networks; Bandwidth; Delay; Protocols; Quality of service; Resource management; Throughput; failure road length; neural network; possibilistic reliability; structural system safety assessment;
Conference_Titel :
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4244-7616-9
DOI :
10.1109/ICISE.2010.5690068
