Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《固体力学学报(英文版)》 2014-01
Add to Favorite Get Latest Update


Imad O.Bachi;Nabeel Abdulrazzaq;Zeng He;Department of Mechanical Engineering, Basrah University;Department of Mechanics Engineering, Huazhong University of Science and Technology;Department of Civil Engineering, Basrah University;  
An adaptive neuro-fuzzy inference system(ANFIS) is introduced to predict the dynamic behavior of beams. The effects of axial forces and large displacements are considered in the analysis. A database of tests for the dynamic characteristics of beams is developed from the experimental tests. The responses of nonlinear vibration force for the single and multiple-stepped beams are calculated from the finite element method(FEM), experimental tests and neuro-fuzzy model for comparison. The neuro-fuzzy model provides a general framework for the combination of neural networks and fuzzy logic. It is more flexible with more options of incorporating the fuzzy nature of the real-world system and is an useful estimation tool for the dynamic characteristics of beams. Therefore, ANFIS can be a useful tool for dynamic behaviour analysis of multiple-stepped beams subjected to axial loads and large displacement.
【Fund】: support provided by Basrah University and the Education Ministry of Iraq towardshis visit to Huazhong University of Science and Technology China
【CateGory Index】: TP18
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
Chinese Journal Full-text Database 1 Hits
1 ZHANG Li-hong;LIU Tian-yun;LI Qing-bin;GUAN Jun-feng;State Key Laboratory of Hydroscience and Engineering,Tsinghua University;School of Civil Engineering and Communication,North China Institute of Water Conservancy and Hydroelectric Power;;A high accurate combination-difference time-integration scheme for problems in structural dynamics[J];Chinese Journal of Computational Mechanics;2013-04
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved