Comparison of artificial neural network and fuzzy logic models for prediction of long-term compressive strength of silica fume concrete

Küçük Resim Yok

Tarih

2009

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

ELSEVIER SCI LTD

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

In this study, an artificial neural network (ANN) and fuzzy logic (FL) study were developed to predict the compressive strength of silica fume concrete. A data set of a laboratory work, in which a total of 48 concretes were produced, was utilized in the ANNs and FL study. The concrete mixture parameters were four different water-cement ratios, three different cement dosages and three partial silica fume replacement ratios. Compressive strength of moist cured specimens was measured at five different ages. The obtained results with the experimental methods were compared with ANN and FL results. The results showed that ANN and FL can be alternative approaches for the predicting of compressive strength of silica fume concrete. (C) 2009 Elsevier Ltd. All rights reserved.

Açıklama

Anahtar Kelimeler

Silica fume, Concrete, Compressive strength, Neural networks, Fuzzy logic

Kaynak

ADVANCES IN ENGINEERING SOFTWARE

WoS Q Değeri

Q3

Scopus Q Değeri

Q1

Cilt

40

Sayı

9

Künye