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Neural network-based model for prediction of permanent deformation of unbound granular materials

Alnedawi, Ali, Al-Ameri, Riyadh and Nepal, Kali Prasad 2019, Neural network-based model for prediction of permanent deformation of unbound granular materials, Journal of Rock Mechanics and Geotechnical Engineering, vol. 11, no. 6, pp. 1231-1242, doi: 10.1016/j.jrmge.2019.03.005.

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Title Neural network-based model for prediction of permanent deformation of unbound granular materials
Author(s) Alnedawi, AliORCID iD for Alnedawi, Ali orcid.org/0000-0003-1881-1787
Al-Ameri, RiyadhORCID iD for Al-Ameri, Riyadh orcid.org/0000-0001-7497-1983
Nepal, Kali PrasadORCID iD for Nepal, Kali Prasad orcid.org/0000-0001-7497-1983
Journal name Journal of Rock Mechanics and Geotechnical Engineering
Volume number 11
Issue number 6
Start page 1231
End page 1242
Total pages 12
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2019-12
ISSN 1674-7755
Keyword(s) Flexible pavement design
Unbound granular materials
Permanent deformation (PD)
Repeated load triaxial test (RLTT)
Prediction models
Artificial neural network (ANN)
Science & Technology
Technology
Engineering, Geological
Engineering
RESILIENT MODULUS
BEHAVIOR
AGGREGATE
STRENGTH
REGRESSION
Language eng
DOI 10.1016/j.jrmge.2019.03.005
Indigenous content off
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30130694

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.