• Register
  • Login

European Journal of Molecular & Clinical Medicine

  • Home
  • Browse
    • Current Issue
    • By Issue
    • By Subject
    • Keyword Index
    • Author Index
    • Indexing Databases XML
  • Journal Info
    • About Journal
    • Aims and Scope
    • Editorial Board
    • Publication Ethics
    • Indexing and Abstracting
    • Peer Review Process
    • News
  • Guide for Authors
  • Submit Manuscript
  • Contact Us
Advanced Search

Notice

As part of Open Journals’ initiatives, we create website for scholarly open access journals. If you are responsible for this journal and would like to know more about how to use the editorial system, please visit our website at https://ejournalplus.com or
send us an email to info@ejournalplus.com

We will contact you soon

  1. Home
  2. Volume 7, Issue 8
  3. Author

Online ISSN: 2515-8260

Volume7, Issue8

Predicting The Strength Enhancement Of Subgrade Soil Reinforced With Geotextile Using Artificial Neural Network And M5P Model Tree

    Tanvi Singh, Yash Goyal, Suresh Kumar

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 8, Pages 2728-2737

  • Show Article
  • Download
  • Cite
  • Statistics
  • Share

Abstract

Geosynthetics layers are being implemented as reinforcement to enhance the strength of subgrade soil (which is calculated in terms of CBR). Present research work, aims at investigating the strength enhancement in terms of CBR through experimental study. Experiments were conducted on subgrade soil reinforcing it with single and double layer woven and non-woven geotextile layer were placed at depth M/3, M/2 and 2/3M from the top of CBR specimen, where Mis height of CBR specimen. Result indicate that woven geotextile offers more strength to subgrade soil than non-woven geotextile, further as depth of placement of reinforcement increases from top lesser is increase in strength for both the geotextile. Strength also increases when double layer was placed in comparison to single layer for both the geotextile. ANN and M5P was used to predict the CBR value, result suggest improved performance of ANN over M5P for present data.
Keywords:
  • PDF (501 K)
  • XML
(2020). Predicting The Strength Enhancement Of Subgrade Soil Reinforced With Geotextile Using Artificial Neural Network And M5P Model Tree. European Journal of Molecular & Clinical Medicine, 7(8), 2728-2737.
Tanvi Singh, Yash Goyal, Suresh Kumar. "Predicting The Strength Enhancement Of Subgrade Soil Reinforced With Geotextile Using Artificial Neural Network And M5P Model Tree". European Journal of Molecular & Clinical Medicine, 7, 8, 2020, 2728-2737.
(2020). 'Predicting The Strength Enhancement Of Subgrade Soil Reinforced With Geotextile Using Artificial Neural Network And M5P Model Tree', European Journal of Molecular & Clinical Medicine, 7(8), pp. 2728-2737.
Predicting The Strength Enhancement Of Subgrade Soil Reinforced With Geotextile Using Artificial Neural Network And M5P Model Tree. European Journal of Molecular & Clinical Medicine, 2020; 7(8): 2728-2737.
  • RIS
  • EndNote
  • BibTeX
  • APA
  • MLA
  • Harvard
  • Vancouver
  • Article View: 35
  • PDF Download: 68
  • LinkedIn
  • Twitter
  • Facebook
  • Google
  • Telegram
Journal Information

Publisher:

Email:  info@ejmcm.com

  • Home
  • Glossary
  • News
  • Aims and Scope
  • Privacy Policy
  • Sitemap

Editorial Team:  editor@ejmcm.com

For Special Issue Proposal : chiefeditor.ejmcm@gmail.com / info@ejmcm.com

This journal is licensed under a Creative Commons Attribution 4.0 International (CC-BY 4.0)

Powered by eJournalPlus