Techno Press


Computers and Concrete   Volume 8, Number 5, October 2011, pages 491-510
DOI: http://dx.doi.org/10.12989/cac.2011.8.5.491
 
Predicting the high temperature effect on mortar compressive strength by neural network
N. Yuzer, B. Akbas and A.B. Kizilkanat

 
Abstract     [Full Text]
    Before deciding if structures exposed to high temperature are to be repaired or demolished, their final state should be carefully examined. Destructive and non-destructive testing methods are generally applied for this purpose. Compressive strength and color change in mortars are observed as a result of the effects of high temperature. In this study, ordinary and pozzolan-added mortar samples were produced using different aggregates, and exposed to 100, 200, 300, 600, 900 and 1200
 
Key Words
    color; concrete; high temperature; neural network; pulse velocity; strength.
 
Address
N. Yuzer: Yildiz Technical University, Department of Civil Engineering, Istanbul 34210, Turkey
B. Akbas: Gebze Institute of Technology, Kocaeli, Turkey
A.B. Kizilkanat: Yildiz Technical University, Department of Civil Engineering, Istanbul 34210, Turkey
 

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