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Prediction of Mechanical Strength of Fiber Admixed Concrete Using Multiple Regression Analysis and A...

Prediction of Mechanical Strength of Fiber Admixed Concrete Using Multiple Regression Analysis and A...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e15d6d6a55a4487b853832078f9e55a2

Prediction of Mechanical Strength of Fiber Admixed Concrete Using Multiple Regression Analysis and Artificial Neural Network

About this item

Full title

Prediction of Mechanical Strength of Fiber Admixed Concrete Using Multiple Regression Analysis and Artificial Neural Network

Publisher

Cairo, Egypt: Hindawi Publishing Corporation

Journal title

Advances in materials science and engineering, 2019-01, Vol.2019 (2019), p.1-7

Language

English

Formats

Publication information

Publisher

Cairo, Egypt: Hindawi Publishing Corporation

More information

Scope and Contents

Contents

The present study is to compare the multiple regression analysis (MRA) model and artificial neural network (ANN) model designed to predict the mechanical strength of fiber-reinforced concrete on 28 days. The model uses the data from early literatures; the data consist of tensile strength of fiber, percentage of fiber, water/cement ratio, cross-sect...

Alternative Titles

Full title

Prediction of Mechanical Strength of Fiber Admixed Concrete Using Multiple Regression Analysis and Artificial Neural Network

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_e15d6d6a55a4487b853832078f9e55a2

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e15d6d6a55a4487b853832078f9e55a2

Other Identifiers

ISSN

1687-8434

E-ISSN

1687-8442

DOI

10.1155/2019/4654070

How to access this item