Use of neural networks in the prediction of bearing capacity of pavement structures

dc.contributor.authorVenayagamoorthy, V.
dc.contributor.authorAllopi, D.R. (Dhiren)
dc.date.accessioned2008-06-18T06:26:08Z
dc.date.available2008-06-18T06:26:08Z
dc.date.issued2007-07
dc.descriptionThis paper was transferred from the original CD ROM created for this conference. The material on the CD ROM was published using Adobe Acrobat 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: doctech@doctech.co.za URL: http://www.doctech.co.zaen
dc.description.abstractPaper presented at the 26th Annual Southern African Transport Conference 9 - 12 July 2007 "The challenges of implementing policy?", CSIR International Convention Centre, Pretoria, South Africa. ABSTRACT: Roads have formed the basic infrastructure of commerce. There is an increasing growth of road transportation nowadays in the modern world. Roadways are very large, in volume, in extent, and in value. They deteriorate over time primarily due to accumulated damage from vehicles. Pavements are designed for an expected service life and require some form of maintenance before they come to the end of their service life. The increasing complexity of road transportation need advanced techniques for effective pavement design and maintenance of roads. An intelligent technique based on Artificial Neural Networks is applied for the prediction of bearing capacity of road pavement structures under different loading conditions.en
dc.format.extent390626 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.citationVenayagamoorthy, V & Allopi, D. 2007,'Use of neural networks in the prediction of bearing capacity of pavement structures,' Paper presented to the 26th Annual Southern African Transport Conference, South Africa, 9 - 12 July 2007. 7p.en
dc.identifier.isbn192001702X
dc.identifier.urihttp://hdl.handle.net/2263/5954
dc.languageeng
dc.language.isoenen
dc.publisherSATCen
dc.relation.ispartofSATC 2007
dc.rightsUniversity of Pretoriaen
dc.subjectTransport policiesen
dc.subjectRoad transportationen
dc.subjectEffective pavement designen
dc.subjectRoad maintenanceen
dc.subjectArtificial Neural Networksen
dc.subject.lcshTransportation -- South Africa -- Congressesen
dc.subject.lcshRoads -- South Africa -- Design and construction -- Congressesen
dc.subject.lcshPavements -- South Africa -- Maintenance and repair -- Congressesen
dc.titleUse of neural networks in the prediction of bearing capacity of pavement structuresen
dc.typeEventen
dc.typePresentationen

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
071.pdf
Size:
381.47 KB
Format:
Adobe Portable Document Format
Description:
Venayagamoorthy_Use(2007)

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
2.4 KB
Format:
Item-specific license agreed upon to submission
Description: