DOI: 10.5937/jaes12-5674
This is an open access article distributed under the CC BY-NC-ND 4.0 terms and conditions.
Volume 12 article 277 pages: 63-68
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.
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.