Paper Title

Design of Geotextile Reinforced Rural Roads by U.S Army Corps Engineer’s Method

Authors

Adarsh Uttarkar , Ashish Dubay. B , Chetan K.M

Keywords

Geosynthetic reinforced road systems, Base course layer, California Bearing Ratio (CBR), Geotextile

Abstract

A well connected road network is one of the basic infrastructure requirements which play a vital role for the fast and comfortable movement of inter-regional traffic in our country. This research paper presents a design procedure for predicting the thickness of base course layer for geosynthetic reinforced road systems. The design method developed takes into consideration the worst type of natural subgrade soil, usually in the form of soft, saturated clays exhibiting low values of cohesion under undrained conditions. This research also gives the base course thickness for very weak subgrade soils which have CBR value less than 2 %. The research aims at providing an effective design procedure based on simple laboratory evaluation of equivalent CBR of the composite layered system namely, the geotextile sandwiched between the base course material and the soft subgrade soil.

How To Cite

"Design of Geotextile Reinforced Rural Roads by U.S Army Corps Engineer’s Method", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.2, Issue 4, page no.240 - 244, April-2017, Available :https://ijsdr.org/papers/IJSDR1704041.pdf

Issue

Volume 2 Issue 4, April-2017

Pages : 240 - 244

Other Publication Details

Paper Reg. ID: IJSDR_170195

Published Paper Id: IJSDR1704041

Downloads: 000347189

Research Area: Engineering

Country: Mysore, Karnataka, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1704041

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1704041

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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