Prediction of Mechanical Behavior of Concrete Filled Steel Tube Structure Using Artificial Neural Network

Ying Wang; Zhi Quan Liu; Ming Zhang

doi:10.4028/www.scientific.net/AMM.368-370.1095

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 368-370Prediction of Mechanical Behavior of Concrete...

Prediction of Mechanical Behavior of Concrete Filled Steel Tube Structure Using Artificial Neural Network

Abstract:

Artificial neural network (ANN) is applied to predict load-strain relationship of concrete filled steel tube (CFT) structural parts. An ANN prediction model, which is able to predict load-strain relationship of CFT structural parts with different dimensions and parameters, is made through training the ANN prediction model with the experimental test data. Furthermore, the prediction data and experimental test data are compared. The result shows that the combination of several characteristic parameters of CFT structural parts and ANN prediction model to predict load-strain relationship of CFT structural parts are reliable and feasible. The ANN prediction model has simple, convenience and time-saving merits.

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Periodical:

Applied Mechanics and Materials (Volumes 368-370)

Pages:

1095-1098

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.368-370.1095

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Online since:

August 2013

Authors:

Ying Wang, Zhi Quan Liu, Ming Zhang

Keywords:

Artificial Neural Network (ANN), Concrete Filled Steel Tube Structure, Load-Strain Relationship, Prediction Model

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References

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