PREDICTION OF FLEXURAL STRENGTH OF CHIKOKO POZZOLANA BLENDED CEMENT CONCRETE USING OSADEBE’S REGRESSION FUNCTION

  • DO Onwuka DEPARTMENT OF CIVIL ENGINEERING, FEDERAL UNIVERSITY OF TECHNOLOGY, OWERRI, IMO STATE. NIGERIA
  • S Sule DEPT. OF CIVIL & ENVIRONMENTAL ENGINEERING, UNIV. OF PORT HARCOURT, RIVERS STATE. NIGERIA
Keywords: Pozzolanic properties, Osadebe’s regression function, flexural strength, desired strength, mix ratios

Abstract

Chikoko mud is abundant in the mangrove swamps of the Niger Delta area of Nigeria. Its utilization in concrete production is traceable to its pozzolanic properties. In this paper, a regression model is developed to predict and optimize the flexural strength of chikoko pozzolana blended cement concrete using Osadebe’s regression function. The results obtained from the derived regression model are very close to those obtained from experiment. The model was tested for adequacy using a Fisher test at 5% level of significance and was found to be adequate. A computer program coded in basic language was used to select the mix ratios that would optimize the flexural strength of chikoko pozzolana blended cement concrete. The computer program is user-friendly and can be used to select the mix ratios corresponding to a desired strength value with reasonable accuracy and without waste of time.

 

http://dx.doi.org/10.4314/njt.v36i3.8

Published
2017-06-30
Section
Building, Civil & Geotechical Engineering

Journal Identifiers


eISSN: 2467-8821
print ISSN: 0331-8443