eprintid: 425
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/04/25
datestamp: 2023-11-09 15:16:03
lastmod: 2023-11-09 15:16:03
status_changed: 2023-11-09 15:14:31
type: conference_item
metadata_visibility: show
creators_name: Khan, S.R.M.
creators_name: Noorzaei, J.
creators_name: Kadir, M.R.A.
creators_name: Jaafar, M.S.
creators_name: Thanoon, W.A.M.
title: Predicting strength of concrete using Sclerometer - Reliability of the regression model
ispublished: pub
keywords: Agglomeration; Concretes; Correlation methods; Forecasting; Innovation; Nondestructive examination; Quality assurance; Regression analysis; Reliability analysis; Testing, Coefficient of correlations; Coefficient of determinations; Correlation coefficients; Destructive tests; Hypothesis tests; Mix proportions; Regression models; Regression techniques; Statistical techniques; Statistical tools; Strength of concretes; Strength predictions, Reliability
note: cited By 0; Conference of 4th International Structural Engineering and Construction Conference, ISEC-4 - Innovations in Structural Engineering and Construction ; Conference Date: 26 September 2007 Through 28 September 2007; Conference Code:74051
abstract: Strength prediction by non-destructive test techniques always used statistical tools called regression technique. The reliability of this technique is always judged based on the value of coefficient of determination (r 2) or correlation coefficient (r) of that equation. This technique alone is not always reliable. Thus, there is a need to compliment it with some other statistical techniques. Hypothesis test seems to be one of them, which can predict the reliability of those equations obtained from regression analysis. Four different mix proportions in two series namely, A10 and A 19 incorporating different aggregate (sandstone) sizes (10 mm and 19 mm maximum) were investigated to predict correlations between strength and Sclerometer test of concrete. Regression models and their coefficient of determination were obtained for each mix proportions, each series and the combined series. The coefficient of correlation value was found to be 0.97 for overall regression model and this articulates reliability of the model. The hypothesis tests on the regression model confirm their reliability. © 2008 Taylor & Francis Group.
date: 2008
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-55549127934&partnerID=40&md5=b2b9072c003d3c930eeaf1c748fee65c
full_text_status: none
publication: Proceedings of the 4th International Structural Engineering and Construction Conference, ISEC-4 - Innovations in Structural Engineering and Construction
volume: 2
place_of_pub: Melbourne, VIC
pagerange: 1129-1133
refereed: TRUE
isbn: 0415457556; 9780415457552
citation:   Khan, S.R.M. and Noorzaei, J. and Kadir, M.R.A. and Jaafar, M.S. and Thanoon, W.A.M.  (2008) Predicting strength of concrete using Sclerometer - Reliability of the regression model.  In: UNSPECIFIED.