Compaction Depth Prediction

Compaction Depth Prediction is a computational model that determines the maximum depth of soil densification achieved by dynamic compaction through empirical, analytical, or machine learning-based relationships between impact energy, soil properties, and ground response.

39

Publications

2.2K

Citations

103

Authors

57

Institutions

Publications per year

2017–2026

16

Authors

103

  1. DC
    D. C. Erbach

    Iowa State University, United States

    2 publications · 28 citations

    2

    h-index

  2. AB
    Abidhan Bardhan

    National Institute of Technology Patna, India

    2 publications · 104 citations

    2

    h-index

  3. VN
    Viet‐Ha Nhu

    Duy Tan University, Vietnam

    2 publications · 169 citations

    2

    h-index

  4. DT
    Dieu Tien Bui

    Duy Tan University, Vietnam

    2 publications · 169 citations

    2

    h-index

  5. NH
    Nhat‐Duc Hoang

    Duy Tan University, Vietnam

    2 publications · 169 citations

    2

    h-index

1–5 of 103

Venues

  1. Transportation Geotechnics

    4 publications · 303 citations

    4

    h-index

  2. Journal of Terramechanics

    3 publications · 125 citations

    3

    h-index

  3. Engineering Geology

    2 publications · 277 citations

    2

    h-index

  4. Transactions of the ASAE

    2 publications · 28 citations

    2

    h-index

  5. Soil and Tillage Research

    2 publications · 220 citations

    2

    h-index

1–5