Computers and Concrete
Volume 8, Number 5, 2011, pages 491-510
DOI: 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
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