Quantitative Evaluation of Variation in Concrete Quality by using Neural Network
By Yoshitaka Kato and Manabu Fujino

Concrete Research and Technology
Vol.18, No.1, Jan. 2007 (Issue 43)


Synopsis:
The purpose of this research is to clarify the influence of construction works on variation in concrete quality, and to establish estimation method of quality variation considering construction conditions (mix-proportions, re-bar conditions, cover concrete depth, etc). In this research, variation in concrete quality obtained by the experiment was quantitatively evaluated using neural network. As a result, the influence of construction conditions on the variation in concrete quality could be clarified quantitatively and the cover concrete quality and its variation could be estimated.
Keywords:
cover concrete, void ratio, variation, construction conditions, neural network

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