Prediction of the curing time to achieve maturity of the nano-cement based concrete using the Weibull distribution model: A complementary data set
This data article provides a comparison data for nano-cement based concrete (NCC) and ordinary Portland cement based concrete (OPCC). Concrete samples (OPCC) were fabricated using ten different mix design and their characterization data is provided here. Optimization of curing time using the Weibull...
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doaj-50048dc472ab41d395443a657cb3f1c12020-11-24T22:08:51ZengElsevierData in Brief2352-34092015-09-014C28529110.1016/j.dib.2015.05.018Prediction of the curing time to achieve maturity of the nano-cement based concrete using the Weibull distribution model: A complementary data setByung Wan JoSumit ChakrabortyHeon KimThis data article provides a comparison data for nano-cement based concrete (NCC) and ordinary Portland cement based concrete (OPCC). Concrete samples (OPCC) were fabricated using ten different mix design and their characterization data is provided here. Optimization of curing time using the Weibull distribution model was done by analyzing the rate of change of compressive strength of the OPCC. Initially, the compressive strength of the OPCC samples was measured after completion of four desired curing times. Thereafter, the required curing time to achieve a particular rate of change of the compressive strength has been predicted utilizing the equation derived from the variation of the rate of change of compressive strength with the curing time, prior to the optimization of the curing time (at the 99.99% confidence level) using the Weibull distribution model. This data article complements the research article entitled “Prediction of the curing time to achieve maturity of the nano-cement based concrete using the Weibull distribution model” [1].http://www.sciencedirect.com/science/article/pii/S2352340915000864Nano-cementOrdinary Portland cementWeibull distributionCuring timeMaturity of concrete |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Byung Wan Jo Sumit Chakraborty Heon Kim |
spellingShingle |
Byung Wan Jo Sumit Chakraborty Heon Kim Prediction of the curing time to achieve maturity of the nano-cement based concrete using the Weibull distribution model: A complementary data set Data in Brief Nano-cement Ordinary Portland cement Weibull distribution Curing time Maturity of concrete |
author_facet |
Byung Wan Jo Sumit Chakraborty Heon Kim |
author_sort |
Byung Wan Jo |
title |
Prediction of the curing time to achieve maturity of the nano-cement based concrete using the Weibull distribution model: A complementary data set |
title_short |
Prediction of the curing time to achieve maturity of the nano-cement based concrete using the Weibull distribution model: A complementary data set |
title_full |
Prediction of the curing time to achieve maturity of the nano-cement based concrete using the Weibull distribution model: A complementary data set |
title_fullStr |
Prediction of the curing time to achieve maturity of the nano-cement based concrete using the Weibull distribution model: A complementary data set |
title_full_unstemmed |
Prediction of the curing time to achieve maturity of the nano-cement based concrete using the Weibull distribution model: A complementary data set |
title_sort |
prediction of the curing time to achieve maturity of the nano-cement based concrete using the weibull distribution model: a complementary data set |
publisher |
Elsevier |
series |
Data in Brief |
issn |
2352-3409 |
publishDate |
2015-09-01 |
description |
This data article provides a comparison data for nano-cement based concrete (NCC) and ordinary Portland cement based concrete (OPCC). Concrete samples (OPCC) were fabricated using ten different mix design and their characterization data is provided here. Optimization of curing time using the Weibull distribution model was done by analyzing the rate of change of compressive strength of the OPCC. Initially, the compressive strength of the OPCC samples was measured after completion of four desired curing times. Thereafter, the required curing time to achieve a particular rate of change of the compressive strength has been predicted utilizing the equation derived from the variation of the rate of change of compressive strength with the curing time, prior to the optimization of the curing time (at the 99.99% confidence level) using the Weibull distribution model. This data article complements the research article entitled “Prediction of the curing time to achieve maturity of the nano-cement based concrete using the Weibull distribution model” [1]. |
topic |
Nano-cement Ordinary Portland cement Weibull distribution Curing time Maturity of concrete |
url |
http://www.sciencedirect.com/science/article/pii/S2352340915000864 |
work_keys_str_mv |
AT byungwanjo predictionofthecuringtimetoachievematurityofthenanocementbasedconcreteusingtheweibulldistributionmodelacomplementarydataset AT sumitchakraborty predictionofthecuringtimetoachievematurityofthenanocementbasedconcreteusingtheweibulldistributionmodelacomplementarydataset AT heonkim predictionofthecuringtimetoachievematurityofthenanocementbasedconcreteusingtheweibulldistributionmodelacomplementarydataset |
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1725814435662004224 |