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