TRIS Online Record

Printable View

Title	Use of Fuzzy Neural Network to Evaluate Effect of Composition of Fly Ash in Suppressing AAR
Accession No	01031263
Authors	Ming-yu, Hu; Ming-shu, Tang
Journal Title	ACI Materials Journal Vol. 103 No. 3
Corp. Authors / Publisher	American Concrete Institute
Publication Date	20060500
Description	pp 161-168; Figures(22); References(8); Tables(3)
Media Type	Print
Languages	English
Abstract	This research was conducted to understand the inherent laws on the suppression of expansion due to the alkali-aggregate reaction by the addition of fly ash to concrete. The data was analyzed using three approaches – fuzzy neural network (FNN), regressive analysis and broken-line graph. Different types of Portland cement and fly ash were collected, with igneous rock used as the reactive aggregate, for a total of 196 groups of test data analyzed. By using FNN, it appears that some of the coefficients in the calculation formula of the sodium equivalent were too large. The authors advise that in the future, observations should be made of the samples stored in a wet environment at ordinary temperatures.
TRT Terms	Alkali aggregate reactions ; Calcium oxide ; Coefficients ; Expansion ; Experiments ; Fly ash ; Formulas ; Igneous rocks ; Linear regression analysis ; Neural networks ; Portland cement ; Quantitative analysis ; Samples ; Variables
Other Terms	Broken line graph; Sodium equivalent
Subject Areas	H32 CEMENT AND CONCRETE; I32 Concrete
Availability	Find a library where document is available Order Document: http://worldcat.org/oclc/13846872
TRIS Files	HRIS
Database	TRIS Online

TRIS is a bibliographic database funded by sponsors of the Transportation Research Board (TRB), primarily the state departments of transportation and selected federal transportation agencies. TRIS Online is hosted by the National Transportation Library under a cooperative agreement between the Bureau of Transportation Statistics and TRB.