Profiles analysis as a modality of repeated measures for comparing grain size distributions in granular bases

[Display omitted] •Detailed multivariate statistical procedure to contrast grain size distributions.•Comparison of profiles concerning data variability and quantitative approaches.•Quality control of building granular materials using a small number of samples.•Implementation of a resampling techniqu...

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Bibliographic Details
Published in:Measurement : journal of the International Measurement Confederation 2019-11, Vol.146, p.930-937
Main Authors: Molina-Gómez, Fausto, Bulla-Cruz, Lenin Alexander, Darghan Contreras, Aquiles Enrique
Format: Article
Language:English
Subjects:
Bootstrap
Confidence intervals
Construction guidelines
Estimates
Grain size
Grain size distribution
Granular materials
Highway construction
Materials selection
Measurement
Quality control
Resampling
Road construction
Statistical analysis
Statistical methods
Statistical validation
Within-subjects design
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Summary:[Display omitted] •Detailed multivariate statistical procedure to contrast grain size distributions.•Comparison of profiles concerning data variability and quantitative approaches.•Quality control of building granular materials using a small number of samples.•Implementation of a resampling technique to obtain bootstrap-T confidence intervals. Selection of granular materials is a key factor for road building, as well as the pavement performance during its operation. This paper introduces the implementation of the profile analysis as a modality of repeated measures to compare the grain size distribution of granular bases against the parameters of the road construction guidelines. The work methodology included three phases: (i) the selection of granular materials, (ii) the grain size assessment in the laboratory, and (iii) the comparison between the experimental data against the boundary curves using statistical procedures. We estimated the grain size profiles variability by a multivariate technique, which involved repeated measures analysis and a resampling method to estimate the confidence intervals for each specific diameter. Findings showed that the statistical procedure proposed in this study conducts to reliable results for quality control of grain size distributions from a relatively small amount of samples. We concluded this procedure could be used for comparing materials in other fields than road construction.
ISSN:0263-2241
1873-412X
DOI:10.1016/j.measurement.2019.07.004