Prediction of unconfined compressive strength of cement-stabilized sandy soil in Vietnam using artificial neural networks (ANNs) model-Reference-Cited by-同舟云学术

Prediction of unconfined compressive strength of cement-stabilized sandy soil in Vietnam using artificial neural networks (ANNs) model

Published:2021-01-11 Issue: Volume: Page:1-11
ISSN:1938-6362
Container-title:International Journal of Geotechnical Engineering
language:en
Short-container-title:International Journal of Geotechnical Engineering

Author:

Pham Van-Ngoc¹²^ORCID,Do Huu-Dao²,Oh Erwin¹^ORCID,Ong Dominic E.L.¹^ORCID

Affiliation:

1. School of Engineering and Built Environment, Griffith University , Brisbane, Australia

2. Faculty of Bridge and Road Engineering, The University of Danang - University of Science and Technology , Vietnam

Publisher

Informa UK Limited

Subject

Soil Science,Geotechnical Engineering and Engineering Geology,Environmental Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/19386362.2020.1862539

Reference37 articles.

1. Development of Strength Models for Prediction of Unconfined Compressive Strength of Cement/Byproduct Material Improved Soils

2. Prediction of the uniaxial compressive strength of sandstone using various modeling techniques

3. ASTM . 2017. “Standard Practice for Making and Curing Soil-Cement Compression and Flexure Test Specimens in the Laboratory International West Conshohocken.” USA.

4. Prediction of Factor of Safety For Slope Stability Using Advanced Artificial Intelligence Techniques

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