AI (ANN, GP, and EPR)-based predictive models of bulk density, linear-volumetric shrinkage & desiccation cracking of HSDA-treated black cotton soil for sustainable subgrade-Reference-Cited by-同舟云学术

AI (ANN, GP, and EPR)-based predictive models of bulk density, linear-volumetric shrinkage & desiccation cracking of HSDA-treated black cotton soil for sustainable subgrade

Published:2022-06-25 Issue: Volume: Page:1-20
ISSN:1748-6025
Container-title:Geomechanics and Geoengineering
language:en
Short-container-title:Geomechanics and Geoengineering

Author:

Onyelowe Kennedy C.¹^ORCID,Aneke Frank I.²,Onyia Michael E.³^ORCID,Ebid Ahmed M.⁴,Usungedo Thompson⁵

Affiliation:

1. Department of Civil and Mechanical Engineering, Kampala International University, Kampala, Uganda

2. College of Agriculture, Engineering and Science, Howard College Campus, University of KwaZulu-Natal, Durban, Republic of South Africa

3. Department of Civil Engineering, Faculty of Engineering, University of Nigeria, Nsukka, Nigeria

4. Department of Structural Engineering, Faculty of Engineering and Technology, Future University, New Cairo, Egypt

5. Department of Civil Engineering, Michael Okpara University of Agriculture, Umudike, Nigeria

Publisher

Informa UK Limited

Subject

Geotechnical Engineering and Engineering Geology

Link

https://www.tandfonline.com/doi/pdf/10.1080/17486025.2022.2090621

Reference34 articles.

1. Swelling stress effects on shear strength resistance of subgrades

2. Production of eco-cement exclusively from municipal solid waste incineration residues

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