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    Specific Surface Area by Colorimetry and Image Analysis

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    Salva and Santamarina - 2021_removed.pdf
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    1.450Mb
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    Description:
    Accepted Manuscript
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    Type
    Article
    Authors
    Salva Ramirez, Marisol cc
    Santamarina, Carlos cc
    KAUST Department
    Energy Resources & Petroleum Engineering
    Ali I. Al-Naimi Petroleum Engineering Research Center (ANPERC)
    Physical Science and Engineering (PSE) Division
    Energy Resources and Petroleum Engineering Program
    Date
    2021-09-21
    Online Publication Date
    2021-09-21
    Print Publication Date
    2022-01-01
    Permanent link to this record
    http://hdl.handle.net/10754/679051
    
    Metadata
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    Abstract
    Specific surface area is more informative than grain size for fine-grained sediments where Ss > 1 m2/g. In fact, specific surface area plays a central role in engineering properties and processes in fine-grained soils, including pore size and bioactivity; fabric, plasticity, and rheology; hydraulic and electrical conductivity; compressibility and residual friction angle; and all forms of coupled processes. This research advanced a dye adsorption method using digital image colorimetry implemented with smartphone technology. In particular, this research adopted a water-based approach to reach internal surfaces in platy phyllosilicates, selected short dye molecules to reduce the range of potential molecular contact area, and developed a physics-based adsorption model to analyze the complete data set to minimize the uncertainty in specific surface area determinations. The study involved fine-grained soils with distinct mineralogy and specific surface area (from 1 to 600 m2/g) and various cationic dyes and a protein to explore the effect of molecular size, shape, and pH. Crystal violet emerged as a reliable dye for soil characterization. Time-dependent measurements confirmed second-order kinetics and highlight the importance of adsorption time.
    Citation
    Salva Ramirez, M., & Carlos Santamarina, J. (2021). Specific Surface Area by Colorimetry and Image Analysis. Geotechnical Testing Journal, 45(1), 20210026. https://doi.org/10.1520/gtj20210026
    Sponsors
    Support for this research was provided by the KAUST Endowment at King Abdullah University of Science and Technology.
    Publisher
    ASTM International
    Journal
    Geotechnical Testing Journal
    DOI
    10.1520/gtj20210026
    Additional Links
    http://www.astm.org/doiLink.cgi?GTJ20210026
    ae974a485f413a2113503eed53cd6c53
    10.1520/gtj20210026
    Scopus Count
    Collections
    Articles; Energy Resources and Petroleum Engineering Program; Ali I. Al-Naimi Petroleum Engineering Research Center (ANPERC); Physical Science and Engineering (PSE) Division

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