Acta Mechanica Solida Sinica

, Volume 27, Issue 1, pp 85–96 | Cite as

Neuro Fuzzy Model for Predicting the Dynamic Characteristics of Beams

  • Imad O. Bachi
  • Nabeel Abdulrazzaq
  • Zeng He


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.

Key Words

dynamic analysis large displacement neuro-fuzzy finite element beam 


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Copyright information

© The Chinese Society of Theoretical and Applied Mechanics and Technology 2014

Authors and Affiliations

  1. 1.Department of Mechanical EngineeringBasrah UniversityIraq
  2. 2.Department of Civil EngineeringBasrah UniversityIraq
  3. 3.Department of Mechanics EngineeringHuazhong University of Science and TechnologyWuhanChina

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