Modelling the behavior of inundated collapsible soils-Reference-Cited by-同舟云学术

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Modelling the behavior of inundated collapsible soils

Published:2020-04 Issue:4 Volume:2 Page:
ISSN:2577-8196
Container-title:Engineering Reports
language:en
Short-container-title:Engineering Reports

Author:

Ashour Mohamed¹^ORCID,Abbas Aser²,Altahrany Ayman³,Alaaeldin Ahmed⁴

Affiliation:

1. Associate Professor of Civil Engineering, Department of Mechanical and Civil EngineeringAlabama A&M University Normal Alabama USA

2. Graduate Research Assistant, Department of Mechanical and Civil EngineeringAlabama A&M University Normal Alabama USA

3. Department of Structural EngineeringMansoura University Dakahlia Governorate Egypt

4. Department of Civil Engineering, Mansoura High Institute for Engineering and Technology Dakahlia Governorate Egypt

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/eng2.12156

Reference28 articles.

1. El‐HowayekA HuangP BisnettR SantagataM. Identification and behavior of collapsible soils. Publication No. FHWA/IN/JTRP‐2011/12. West Lafayette IN: Joint Transportation Research Program Indiana Department of Transportation and Purdue University;2011.https://doi.org/10.5703/1288284314625.

2. Determination of Collapse Potential of Gypseous Soil from Field and Laboratory Tests

3. Treatment of collapse of gypseous soils by grouting

4. Studying collapse potential of gypseous soil treated by grouting

5. Oedometer Behavior of an Artificial Cemented Highly Collapsible Soil

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1. Settlement Foundations by Exploring the Collapse of Unsaturated Soils;Applied Sciences;2024-08-30

2. Predicting the chemical and mechanical properties of gypseous soils using different simulation technics;Acta Geotechnica;2021-07-30

3. Linear and nonlinear approaches and statistical evaluations to predict the shear strength parameters and collapse potential of gypseous soils;Arabian Journal of Geosciences;2021-05

4. Influence of Plastic Fiber on the Geotechnical Properties of Gypseous Soil;International Journal of Engineering;2021-02

5. Implementation of Artificial Neural Network to Predict the Permeability and Solubility Models of Gypseous Soil;Pertanika Journal of Science and Technology;2021

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