Soft methods in the prediction and identification analysis of axially compressed R/C columns

• Autorzy: Ziaja D. , Waszczyszyn Z.
• Języki publikacji: EN

Abstrakty

EN

Two problems are presented in the paper concerning axial loading of R/C columns: I) prediction of critical loads, II) identification of concrete strength. The problems were analyzed by two methods: A) Gaussian Processes Method, B) Advanced Back-Propagation Neural Network. The results of the numerical analysis are discussed with respect to numerical efficiency of the applied methods.

Słowa kluczowe

EN

Gauss Processes Method; Advanced Back-Propagation Neural Network; reinforced concrete; axial loading; Success Ratio

PL

procesy Gaussa; wsteczna propagacja sieci neuronowych; beton zbrojony; obciążenie osiowe; współczynnik sukcesu

• Wydawca: Instytut Podstawowych Problemów Techniki PAN
• Czasopismo: Computer Assisted Methods in Engineering and Science
• Rocznik: 2014
• Tom: Vol. 21, no. 1
• Strony: 59--66
• Opis fizyczny: Bibliogr. 8 poz., tab., wykr.

Twórcy

autor

Ziaja D.

• Department of Structural Mechanics, Rzeszow University of Technology Powstańców Warszawy 12, 35-959 Rzeszów, Poland

autor

Waszczyszyn Z.

• Department of Structural Mechanics, Rzeszow University of Technology Powstańców Warszawy 12, 35-959 Rzeszów, Poland

Bibliografia

• [1] M. Jakubek. Neural network prediction of load capacity for eccentrically loaded reinforced concrete columns. Computer Assisted Methods in Engineering and Sciences, 19(4): 339–349, 2012.
• [2] Ch.M. Bishop. Pattern Recognition and Machine Learning. Springer, 2006.
• [3] PEER (Pacific Earthquake Engineering Research Center). University of California, 2004, database.
• [4] K. Chudyba. Influence of material and geometrical parameters on load carrying capacity of axially loaded R/C columns [in Polish]. PhD, Cracow UT, 1999, database.
• [5] H. Demuth, M. Beale. Neural Network Toolbox for use with MATLAB. User’s Guide version 3. Math Works Inc. Natick MA, 2004.
• [6] J.P. Nabney. Netlab – Algorithms for Pattern Recognition. Springer, 2004.
• [7] B. Miller. Neurocomputing in selected problems of structural identification and damage detection. Oficyna Wydawnicza Politechniki Rzeszowskiej, 2013.
• [8] Z. Waszczyszyn, M. Słoński. Selected problems of artificial neural networks development. In: Z. Waszczyszyn, Ed., Advances of Soft Computing in Engineering, CISM Courses and Lectures, Vol. 512, Springer 2010.