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Modeling the Resilient Modulus Variation of In Situ Soils due to Seasonal Moisture Content Variations

Auteur(s):





Médium: article de revue
Langue(s): anglais
Publié dans: Advances in Civil Engineering, , v. 2019
Page(s): 1-7
DOI: 10.1155/2019/1793601
Abstrait:

LTRC is conducting a research project to determine the seasonal variation of subgrade resilient modulus (MR) in an effort to implement PavementME. One objective of that project, which is presented in this paper, was to locally calibrate the Enhanced Integrated Climate Model's (EICMFenv) curve for seasonal subgradeMRchanges. Shelby tube sampling was conducted on six different roadways to a depth of approximately 7.92 m beneath the shoulder pavement's base course. The AASHTO T-99MRtest method was used on all samples with an additional eight specimens being tested with NCHRP 1–28AMRtest method. Four soils from Louisiana which were not from the six roadways were also tested and included in the analyses. Once theMRtests were completed and plotted, it was noticed that there was a rather large scatter (R² = −0.266) around the EICMFenvcurve. The authors hypothesized that this occurred due to the density differences between in situ and remolded specimens. Further analyses confirmed this hypothesis. LTRC developed a new method based on the EICMFenvmethod to determine the relationship between changes in subgradeMRas a function of changes in moisture content with the in situ moisture content andMRused as the control. This method differs from the EICMFenvin that the EICMFenvuses optimum moisture content as the controlling parameter. The LTRC method can be used for design purposes as well as level 2 inputs into the EICM.

Copyright: © 2019 Kevin Gaspard et al.
License:

Cette oeuvre a été publiée sous la license Creative Commons Attribution 4.0 (CC-BY 4.0). Il est autorisé de partager et adapter l'oeuvre tant que l'auteur est crédité et la license est indiquée (avec le lien ci-dessus). Vous devez aussi indiquer si des changements on été fait vis-à-vis de l'original.

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    sur cette fiche
  • Reference-ID
    10311059
  • Publié(e) le:
    04.04.2019
  • Modifié(e) le:
    02.06.2021