Predicting the high temperature effect on mortar compressive strength by neural network

N. Yuzer , B. Akbas , 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

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