DocumentCode :
2026258
Title :
Designing a fuzzy expert system to predict the concrete mix design
Author :
Neshat, Mehdi ; Adeli, Ali
Author_Institution :
Dept. of Comput. Sci., Islamic Azad Univ., Shirvan, Iran
fYear :
2011
fDate :
19-21 Sept. 2011
Firstpage :
1
Lastpage :
6
Abstract :
The aim of this study is to design a Fuzzy Expert System to determine the concrete mix design. In the civil engineering, the determination of concrete mix design is so difficult and usually results in imprecision. Fuzzy logic is a way to represent a sort of uncertainty which is understandable for human. So, we can use the fuzzy logic to easily determine the concrete mix designs in a descriptive form. The input fields of system are Slump, Maximum Size of Aggregate (Dmax), Concrete Compressive Strength (CCS) and Fineness Modulus (FM). The output fields are quantities of water, Cement, Fine Aggregate (F.A) and Course Aggregate (C.A). The experimental results show that the average error of predicted compressive strength for FIS is 6.43%, the minimum error of which is 4.73%.
Keywords :
aggregates (materials); civil engineering computing; compressive strength; concrete; expert systems; fuzzy systems; cement; civil engineering; concrete compressive strength; concrete mix design; course aggregate; fine aggregate; fineness modulus; fuzzy expert system; fuzzy logic; maximum aggregate size; predicted compressive strength; slump; Aggregates; Concrete; Expert systems; Frequency modulation; Fuzzy logic; Fuzzy sets; Humans; concert mix design; expert system; fuzzy inference system; fuzzy logic; prediction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Measurement Systems and Applications (CIMSA), 2011 IEEE International Conference on
Conference_Location :
Ottawa, ON, Canada
ISSN :
2159-1547
Print_ISBN :
978-1-61284-924-9
Type :
conf
DOI :
10.1109/CIMSA.2011.6059910
Filename :
6059910
Link To Document :
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