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http://dx.doi.org/10.4334/JKCI.2009.21.2.179

A Study on the Optimization of the Mix Proportions of High Strength Concrete Fire-Resistant Reinforcement Using Orthogonal Array Table  

Lee, Mun-Hwan (Building Structure & Resource Research Division, Korea Institute of Construction Technology)
Publication Information
Journal of the Korea Concrete Institute / v.21, no.2, 2009 , pp. 179-186 More about this Journal
Abstract
The peculiarity pointed out for high strength concrete is the occurrence of spalling during a fire. Recently, there are many efforts such as development of all types of spalling reducing materials and other innovative materials in various fields. Need is now to examine the adequate mixing proportions of these materials. This study intended to derive experimentally and statistically mix proportions that can represent the basic quality requirements as well as the optimal effects on the fire-resistance for 4 types of functional materials that are metakaolin, waste tire chip, polypropylene fiber and steel fiber. Here, the tests were planned through an optimal test method using an orthogonal array table with 4 parameters and 3 levels. The statistical analysis adopted the response surface analysis method. Results verified mutual complementary contribution between the materials when using a combination of the functional materials selected as parameters for the strengthening of the fire-resistance of 80 MPa-class high strength concrete. Besides, the optimal conditions of the fire-resistance strengthening materials derived through response surface analysis were a volumetric replacement of silica fume by 80% of metakaolin, a volumetric replacement of fine aggregates by 3% of tire waste chip, and an addition of 0.2% of the whole volume by polypropylene fiber without mixing of steel fiber. In such cases, the basic characteristics as well as the fire-resistant characteristics of high strength concrete were also satisfied.
Keywords
high strength concrete; fire-resistant; spalling; orthogonal array; response surface analysis;
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