Predictive Heave Modeling

Predictive Heave Modeling is a computational framework that distinguishes itself within geotechnical modeling methods by quantitatively estimating the magnitude and spatial distribution of soil heave in expansive clays due to changes in moisture content.

18

Publications

643

Citations

33

Authors

7

Institutions

Publications per year

2017–2026

1

Authors

33

  1. KC
    Kuo Chieh Chao

    University of Kentucky, United States

    3 publications · 58 citations

    3

    h-index

  2. DD
    Daniel D. Overton

    Colorado State University, United States

    2 publications · 47 citations

    2

    h-index

  3. JD
    J D Nelson

    2 publications · 24 citations

    2

    h-index

  4. SK
    Sai K. Vanapalli

    University of Ottawa, Canada

    2 publications · 89 citations

    2

    h-index

  5. RB
    Rungkhun Banyong

    Thammasat University, Thailand

    1 publications · 28 citations

    1

    h-index

1–5 of 33

Venues

  1. Canadian Geotechnical Journal

    3 publications · 155 citations

    3

    h-index

  2. 1

    h-index

  3. Arabian Journal of Geosciences

    1 publications · 28 citations

    1

    h-index

  4. Civil Engineering = Siviele Ingenieurswese

    1 publications · 195 citations

    1

    h-index

  5. Geotechnical and Geological Engineering

    1 publications · 21 citations

    1

    h-index

1–5