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
Parents
39
Thomas Keller, Pauline Dèfossez, Peter Weisskopf et al. · Soil and Tillage Research · 2006 · 164 citations
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National Institute of Technology Patna
Patna, India
4 h-index
7 publications
178 citations

The University of Adelaide
Adelaide, Australia
2 h-index
5 publications
82 citations

Ton Duc Thang University
Ho Chi Minh City, Vietnam
2 h-index
2 publications
169 citations

Hanoi University of Mining and Geology
Hanoi, Vietnam
2 h-index
2 publications
169 citations
Duy Tan University
Da Nang, Vietnam
2 h-index
2 publications
169 citations
University of Oklahoma
Norman, United States
2 h-index
5 publications
202 citations
National University of Singapore
Singapore, Singapore
2 h-index
3 publications
246 citations
University of Jijel
Jijel, Algeria
1 h-index
1 publications
30 citations
1–8 of 57
4 publications · 303 citations
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3 publications · 125 citations
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2 publications · 277 citations
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2 publications · 28 citations
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2 publications · 220 citations
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