Original Scientific Paper, Volume 12, Number 1, Year 2014, No 277, pp 63-68

Published: Jan 11, 2017

DOI: 10.5937/jaes12-5674

AN ARTIFICIAL NEURAL NETWORK PREDICTION MODEL FOR FIRE RESISTANCE OF COMPOSITE COLUMNS

Milos Knezevic 1
Milos Knezevic
Affiliations
  University of Podgorica, Faculty of Civil Engineering, Podgorica, Montenegro
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∙ Marijana Lazarevska 2
Marijana Lazarevska
Affiliations
  University of Skopje, Faculty of Civil Engineering, Skopje, Macedonia
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∙ Meri Cvetkovska 2
Meri Cvetkovska
Affiliations
  University of Skopje, Faculty of Civil Engineering, Skopje, Macedonia
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∙ Milivoje Milanovic 3
Milivoje Milanovic
Affiliations
  State University of Novi Pazar, Serbia
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∙ Ana Trombeva Gavriloska 2
Ana Trombeva Gavriloska
Affiliations
  University of Skopje, Faculty of Civil Engineering, Skopje, Macedonia
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∙ Todorka Samadzioska 2
Todorka Samadzioska
Affiliations
  University of Skopje, Faculty of Civil Engineering, Skopje, Macedonia
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Abstract

An artificial neural network prediction model for fire resistance of centrically loaded composite columns exposed to fire from all sides is presented in this paper. Three different types of composite columns, as: totally encased, partially encased and hollow steel sections filled with concrete, as well as ordinary RC columns were analyzed by using the program FIRE. The effects of the shape, the cross sectional dimensions and the intensity of the axial force were analyzed. The results of the performed analyses were used as input parameters for training the neural network prediction model.

Keywords

Artificial neural network Prognostic model Fire resistance Composite columns

References

Cvetkovska M.: „Nonlinear stress strain behavior of RC elements and plane frame structures exposed to fire", Ph. D. thesis, Civil Engineering Faculty in Skopje, Sts Cyril and Methodius University, Macedonia, 2002

Cvetkovska M., Milanovic M., Jovanoska M., Cifliganec C.: „Parametric analysis of fire resistance of centrically loaded composite steel-concrete columns", 15th International Symposium of Macedonian Association of Structural Engineers - MASE, Ohrid, Mace­donia, September 2013

Chen A. M., Lu H.-m., Hecht-Nielsen R.: "On the geometry of feedforward neural network error surfaces”, Neural computations, 1993, pp. 910-927

Flood I. and Nabil K.: „Neural networks in civ­il engineering II: Systems and application.", Journal of Computing in Civil Engineering 8, no. 2, 1994, pp. 149-162

Flood I. and Paul C.: „Modeling construction processes using artificial neural networks", Automation in Construction, Volume 4, Issue 4, 1996, pp. 307-320

Flood I.: „Simulating the construction pro­cess using neural networks", Proceedings of the 7th ISARC - International Association for Automation and Robotics in Construction, Bristol, United Kingdom, 1990, pp. 374-382

 Jeng DS, Cha DH and Blumenstein M.: „Ap­plication of Neural Networks in Civil Engi­neering Problems", Proceedings of the In­ternational Conference on Advances in the Internet, Processing, Systems and Interdis­ciplinary Research (IPSI-2003), 2003

Knezevic M.: „Risk management of civil en­gineering projects", Ph. D. thesis, Civil Engi­neering Faculty, University in Belgrade, Ser­bia, 2005

Knezevic M. and Zejak R.: "Neural networks - application for usage of prognostic model of the experimental research for thin rein- forced-concrete columns”, scientific research work, Materials and constructions, 2008.