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SEICMIC CAPACITY OF STRUCTURAL ELEMENTS USING NEURAL NETWORKS (CROSBI ID 497952)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Stanić, Andreas ; Sigmund, Vladimir ; Guljaš, Ivica SEICMIC CAPACITY OF STRUCTURAL ELEMENTS USING NEURAL NETWORKS // 13th World Conference on Earthquake Engineering, Conference Proceedings, Vancouver, BC, Canada / CAEE, ACGP, IAEE (ur.). Vancouver: Mira Digital Publishing, 2004. str. 403-10-x

Podaci o odgovornosti

Stanić, Andreas ; Sigmund, Vladimir ; Guljaš, Ivica

engleski

SEICMIC CAPACITY OF STRUCTURAL ELEMENTS USING NEURAL NETWORKS

This paper presents the applicability of neural networks trained on the compiled experimental database to predict the seismic capacity of reinforced concrete walls and columns. The best built network is used for prediction of the behavior of new elements. Use of neural networks enables dependence analysis of observed behavior on different variables and simplifies behavior prediction of building elements under seismic loadings. It could be used for comparison with other methods for performance prediction of critical horizontal load carrying elements. For the seismic capacity evaluation required input for walls and columns is: type of loading, dimension and type of cross section, material properties and reinforcement. They are fed to the neural network trained on the experimental database and as output variables we get prognosis of: shear strength, failure type, critical loads and displacements. The whole procedure, input data, optimized neural network model and output variables are implemented in one worksheet.

concrete; elements; experimental testing; evaluation; buildings

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Podaci o prilogu

403-10-x.

2004.

objavljeno

Podaci o matičnoj publikaciji

13th World Conference on Earthquake Engineering, Conference Proceedings, Vancouver, BC, Canada

CAEE, ACGP, IAEE

Vancouver: Mira Digital Publishing

Podaci o skupu

13th World Conference on Earthquake Engineering, Vancouver, BC, Canada

poster

01.08.2004-06.08.2004

Vancouver, Kanada

Povezanost rada

Građevinarstvo