Multiple regression model for compressive strength prediction of high performance concrete

Research output: Contribution to journalArticle

33 Citations (Scopus)

Abstract

A mathematical model for the prediction of compressive strength of high performance concrete was performed using statistical analysis for the concrete data obtained from experimental work done in this study. The multiple non-linear regression model yielded excellent correlation coefficient for the prediction of compressive strength at different ages (3, 7, 14, 28 and 91 days). The coefficient of correlation was 99.99% for each strength (at each age). Also, the model gives high correlation for strength prediction of concrete with different types of curing.

Original languageEnglish
Pages (from-to)155-160
Number of pages6
JournalJournal of Applied Sciences
Volume9
Issue number1
DOIs
Publication statusPublished - 2009

Fingerprint

High performance concrete
Compressive strength
Concretes
Curing
Statistical methods
Mathematical models

Keywords

  • Compressive strength
  • High performance concrete
  • Mathematical model

ASJC Scopus subject areas

  • General

Cite this

Multiple regression model for compressive strength prediction of high performance concrete. / Mohd. Zain, Muhammad Fauzi; Abd, Suhad M.

In: Journal of Applied Sciences, Vol. 9, No. 1, 2009, p. 155-160.

Research output: Contribution to journalArticle

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