NEURO FUZZY MODEL FOR PREDICTING THE DYNAMIC CHARACTERISTICS OF BEAMS

被引：0

作者：

Imad OBachi ^{[1
,2
]}

Nabeel Abdulrazzaq ^{[3
]}

Zeng He ^{[2
]}

机构：

[1] Department of Mechanical Engineering, Basrah University

[2] Department of Mechanics Engineering, Huazhong University of Science and Technology

[3] Department of Civil Engineering, Basrah University

来源：

Acta Mechanica Solida Sinica | 2014年 / 27卷 / 01期

关键词：

dynamic analysis; large displacement; neuro-fuzzy; finite element; beam;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：85 / 96

页数：12

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