NEURO FUZZY MODEL FOR PREDICTING THE DYNAMIC CHARACTERISTICS OF BEAMS |
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| Authors: | Imad O Bachi Nabeel Abdulrazzaq Zeng He |
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| Institution: | [1]Department of Mechanical Engineering, Basrah University, Iraq [2]Department of Civil Engineering, Basrah University, Iraq [3]Department of Mechanics Engineering, Huazhong University of Science and Technology Wuhan 430074, China |
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| Abstract: | 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. |
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| Keywords: | dynamic analysis large displacement neuro-fuzzy finite element beam |
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