
Prediction of Early Age Strength of Concrete Using Statistical Method
Author(s) -
Munachiso C. Ogbodo,
I. E. Ibigbani,
A. I. Akpabot
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1378/3/032069
Subject(s) - hammer , compressive strength , curing (chemistry) , schmidt hammer , statistical analysis , cube (algebra) , structural engineering , mathematics , materials science , geotechnical engineering , composite material , engineering , statistics , geometry
This research work presents the use of statistical method (regression analysis) to predict early age strength of concrete. Freshly prepared concrete samples were poured into cube moulds and exposed to pond curing for 7 and 14 days. NDT was carried out using Schmidt rebound hammer before subjecting the concrete cubes to DT method using compression machine. Mathematical models were developed to obtain the early age strength of concrete for different days. From the results, concrete cured for 14 days had higher strength values than those cured for 7 days. Also, the rebound hammer in the horizontal position yields a better representation of compressive strength than when placed vertically downwards. The cubic regression (0.0198) analysis is best for the prediction of the concrete strength for the 14 days curing.