dc.contributor.author |
Mwaipungu, Richard R.
|
|
dc.contributor.author |
Allopi, D.R. (Dhiren)
|
|
dc.contributor.other |
Southern African Transport Conference (31st : 2012 : Pretoria, South Africa) |
|
dc.contributor.other |
Minister of Transport, South Africa |
|
dc.date.accessioned |
2012-10-10T12:21:42Z |
|
dc.date.available |
2012-10-10T12:21:42Z |
|
dc.date.created |
2012-07-09 |
|
dc.date.issued |
July 2012 |
|
dc.description |
This paper was transferred from the original CD ROM created for this conference. The material was published using Adobe Acrobat 10.1.0 Technology.
The original CD ROM was produced by Document Transformation Technologies Postal Address: PO Box 560 Irene 0062 South Africa. Tel.: +27 12 667 2074 Fax: +27 12 667 2766 E-mail: nigel@doctech URL: http://www.doctech.co.za |
en_US |
dc.description.abstract |
Paper presented at the 31st Annual Southern African Transport Conference 9-12 July 2012 "Getting Southern Africa to Work", CSIR International Convention Centre, Pretoria, South Africa. |
en_US |
dc.description.abstract |
To conserve the gravel materials borrow pits (B/P) and gravel materials deployed as
surfacing layer of unsealed roads, there is a need to reduce regravelling cycles to optimum level. This can be achieved by reducing the rate of gravel loss (GL) through quantifying locally, the annual GL and addressing factors behind it. Understanding the behaviour of local gravel materials to readily lose fines followed by coarser particles under the action of traffic and climate is of paramount importance in achieving the above goal.
This paper advocates the use of the gravel loss predicting model (GLPM) as one of the
measures of conserving gravel wearing course and gravel B/P and hence towards effective management of gravel roads. The GL information, as captured by GLPMs, formulated through monitoring GL over the passage of time, will assist those responsible in managing gravel roads to address the root causes of GL and hence reduce the grading and regravelling frequencies. |
en_US |
dc.description.librarian |
dm2012 |
en |
dc.format.extent |
11 pages |
en_US |
dc.format.medium |
PDF |
en_US |
dc.identifier.isbn |
978-1-920017-53-8 |
|
dc.identifier.uri |
http://hdl.handle.net/2263/20102 |
|
dc.language.iso |
en |
en_US |
dc.publisher |
Document Transformation Technologies |
|
dc.relation.ispartof |
SATC 2012 |
|
dc.rights |
University of Pretoria |
en_US |
dc.subject |
Gravel materials |
en_US |
dc.subject |
Gravel loss |
en_US |
dc.subject |
Unsealed roads |
en_US |
dc.subject.lcsh |
Transportation |
|
dc.subject.lcsh |
Transportation -- Africa |
|
dc.subject.lcsh |
Transportation -- Southern Africa |
|
dc.title |
The use of gravel loss predicting models for effective management of gravel roads |
en_US |
dc.type |
Presentation |
en_US |