Neuro Fuzzy Model for Predicting the Dynamic Characteristics of Beams

Acta Mechanica Solida Sinica - Tập 27 - Trang 85-96 - 2014
Imad O. Bachi1,2, Nabeel Abdulrazzaq3, Zeng He2
1Department of Mechanical Engineering, Basrah University, Iraq
2Department of Mechanics Engineering, Huazhong University of Science and Technology, Wuhan, China
3Department of Civil Engineering, Basrah University, Iraq

Tóm tắt

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.

Tài liệu tham khảo

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