@article{(Open Science Index):https://publications.waset.org/pdf/10002412,
	  title     = {Investigation of Rehabilitation Effects on Fire Damaged High Strength Concrete Beams},
	  author    = {Eun Mi Ryu and  Ah Young An and  Ji Yeon Kang and  Yeong Soo Shin and  Hee Sun Kim},
	  country	= {},
	  institution	= {},
	  abstract     = {When high strength reinforced concrete is exposed to
high temperature due to a fire, deteriorations occur such as loss in
strength and elastic modulus, cracking and spalling of the concrete.
Therefore, it is important to understand risk of structural safety in
building structures by studying structural behaviors and rehabilitation
of fire damaged high strength concrete structures. This paper aims at
investigating rehabilitation effect on fire damaged high strength
concrete beams using experimental and analytical methods. In the
experiments, flexural specimens with high strength concrete are
exposed to high temperatures according to ISO 834 standard time
temperature curve. From four-point loading test, results show that
maximum loads of the rehabilitated beams are similar to or higher than
those of the non-fire damaged RC beam. In addition, structural
analyses are performed using ABAQUS 6.10-3 with same conditions
as experiments to provide accurate predictions on structural and
mechanical behaviors of rehabilitated RC beams. The parameters are
the fire cover thickness and strengths of repairing mortar. Analytical
results show good rehabilitation effects, when the results predicted
from the rehabilitated models are compared to structural behaviors of
the non-damaged RC beams. In this study, fire damaged high strength concrete beams are
rehabilitated using polymeric cement mortar. The predictions from the
finite element (FE) models show good agreements with the
experimental results and the modeling approaches can be used to
investigate applicability of various rehabilitation methods for further
study.},
	    journal   = {International Journal of Architectural and Environmental Engineering},
	  volume    = {9},
	  number    = {7},
	  year      = {2015},
	  pages     = {898 - 904},
	  ee        = {https://publications.waset.org/pdf/10002412},
	  url   	= {https://publications.waset.org/vol/103},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 103, 2015},
	}