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
Parents
18
1–5 of 18
33
3
h-index
2
h-index
2 publications · 24 citations
2
h-index
2
h-index
1
h-index
1–5 of 33
7
Colorado State University
Fort Collins, United States
2 h-index
4 publications
81 citations

King Saud University
Riyadh, Saudi Arabia
2 h-index
1 publications
17 citations

Vietnam National University Ho Chi Minh City
Ho Chi Minh City, Vietnam
1 h-index
1 publications
28 citations
Thammasat University
Bangkok, Thailand
1 h-index
4 publications
112 citations

University of Ottawa
Ottawa, Canada
1 h-index
2 publications
42 citations
Madan Mohan Malaviya University of Technology
Gorakhpur, India
1 h-index
1 publications
28 citations
Ho Chi Minh City University of Technology
Ho Chi Minh City, Vietnam
1 h-index
1 publications
28 citations

Chinese Academy of Sciences
Beijing, China
1 publications
11 citations
1–8 of 7
3 publications · 155 citations
3
h-index
1 publications · 68 citations
1
h-index
1 publications · 28 citations
1
h-index
1 publications · 195 citations
1
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1 publications · 21 citations
1
h-index
1–5