Genetic programming approach for prediction of compressive strength of concretes containing rice husk ash

Küçük Resim Yok

Tarih

2010

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

ELSEVIER SCI LTD

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

Soft computing techniques have recently been widely used to model some of human activities in many areas of civil engineering applications. In this paper, two models in gene expression programming (GEP) approach for predicting compressive strength of concretes containing rice husk ash have been developed at the age of 1, 3, 7, 14, 28, 56 and 90 days. For purpose of building the models, experimental results for 188 specimens produced with 41 different mixture proportions are obtained from the literature. According to these experimental results, the models are arranged by using seven different input variables in GEP approach. In according to these input variables, the compressive strength values from mechanical properties of concretes containing rice husk ash are predicted in GEP approach models. The results of training, testing and validation sets of the models are compared with experimental results. All of the results showed that GEP is a strong technique for the prediction of compressive strength values of concretes containing rice husk ash. (C) 2010 Elsevier Ltd. All rights reserved.

Açıklama

Anahtar Kelimeler

Rice husk ash, Compressive strength, Gene expression programming

Kaynak

CONSTRUCTION AND BUILDING MATERIALS

WoS Q Değeri

Q1

Scopus Q Değeri

Q1

Cilt

24

Sayı

10

Künye