Paper Info
Title
A Neuro-Fuzzy System for Steel Beams Patch Load Prediction
Abstract
This work presents a neuro-fuzzy system developed to predict and classify the behaviour of steel beam subjected to concentrated loads. A good performance was obtained with a previously developed neural network system [1-3] when compared to available experimental data. The neural network accuracy was also significantly better than existing prediction formulae [4-7]. Despite this fact, the system architecture did not explicitly considered the different structural behaviour related to the beam collapse (web and flange yielding, web buckling and web crippling). Therefore this paper presents a neuro-fuzzy system that takes into account the ultimate limit state. The Neuro-Fuzzy System architecture is composed of one neuro-fuzzy model and one prediction neural network. The neuro-fuzzy model is used to classify the beams according to its pertinence to a specific structural response. Then, a neural network uses the pertinence established by the neuro-fuzzy classification model, to finally determine the beam patch load resistance.
Year
DOI
Venue
2005
10.1109/ICHIS.2005.13
HIS
Keywords
Field
DocType
prediction neural network,neural network accuracy,beam collapse,neural network,neuro-fuzzy system,neuro-fuzzy classification model,system architecture,neural network system,steel beams patch load,neuro-fuzzy model,beam patch load resistance,neuro fuzzy,fuzzy set theory,fuzzy systems
Neuro-fuzzy,Computer science,Fuzzy set,Beam (structure),Artificial intelligence,Systems architecture,Fuzzy control system,Adaptive neuro fuzzy inference system,Artificial neural network,Limit state design,Structural engineering
Conference
ISBN
Citations 
PageRank 
0-7695-2457-5
0
0.34
References 
Authors
5
4
Name
Order
Citations
PageRank
Elaine T. Fonseca130.84
Pedro C. G. Da S. Vellasco251.56
Marley B. R. Vellasco328047.47
Sebastiao A. L. de Andrade400.34