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Full Length
Research Paper
A new
approach to analysis plastic shrinkage cracks in reinforced
concrete slabs by using ann
Razavi S.V,
Mohammad Hassan Ayazi, Pegah Mohammadi
Department of Civil Engineering, Islamic Azad University,
Dezful Branch.
*Corresponding author email:
vahidrazavy@yahoo.com
Received 06 September, 2011; Accepted 05 October, 2011.
The moister of plastic concrete is reduced by evaporation,
formwork absorption, and seeping. The result of moisture
loss caused increase of negative capillary pressure in
concrete that increase tensile stress. Summary when it
crosses the limit of tensile strength of concrete, it
cracks. The tensile stress will cause cracking in early age
concrete that is called plastic shrinkage cracking (PSC). PSC
remains a serious concern, particularly in large surface
area placements like slabs. Learning about crack analysis
before rehabilitation and strength of reinforced concrete
(RC) slab is important. In this paper, RC slab analysis has
been done by using Artificial Neural Networks (ANNs).
Feed-forward Back- propagation Neural Network (FBNN) was the
selected network to generate prediction system with the
minimum error and maximum squared correlation coefficient.
Keywords:
PSC, RC, ANNs, FBNN
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