Effects of Micropores on the Vapor Sorption Isotherm and Structural Parameters Characterization of Kaolinite

Yijie Wang, Liming Hu, Zhen yu Yin

Research output: Journal article publicationJournal articleAcademic researchpeer-review

2 Citations (Scopus)

Abstract

The vapor sorption isotherm (VSI) of soil serves as a basic tool in geotechnical engineering, widely employed for characterizing the structural parameters of soil. Micropores are commonly found in soil, significantly altering the VSI and impacting the characterization of structural parameters. Nonetheless, these micropores are often overlooked in relevant analyses. Moreover, the characterization process relies on the utilization of theoretical models to fit the VSI. However, the commonly used models are not designed for VSI, raising concerns about their reliability. To investigate the influence of micropores on VSI and assess the reliability of various characterization models, this study used molecular simulation techniques to generate VSIs for kaolinite samples with different pore sizes. The simulation results reveal the effects of pore size on VSI shape, shed light on the influence of soil surfaces on pore water density and orientation, and highlight the important role of hydrogen bonds in water retention within the kaolinite pores. Furthermore, the reliability of three structural parameter characterization models, namely BET, DR, and as plot, was evaluated with the aid of the explicit geometric dimensions in molecular models, and the mechanisms responsible for their reliability were elucidated. This study deepens the understanding of VSI and provides crucial references for the characterization of soil structural parameters.

Original languageEnglish
Article number106453
JournalComputers and Geotechnics
Volume172
DOIs
Publication statusPublished - Aug 2024

Keywords

  • Kaolinite
  • Micropore
  • Molecular simulation
  • Pore volume
  • Surface area
  • Vapor sorption isotherm

ASJC Scopus subject areas

  • Geotechnical Engineering and Engineering Geology
  • Computer Science Applications

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