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Prediction of the temperature distribution in asphalt pavement samples

Thesis (MScEng)--Stellenbosch University, 2005.

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Main Author: Burger, Marco
Other Authors: Kroger, D. G.
Format: Thesis
Language:en_ZA
Published: Stellenbosch : Stellenbosch University 2012
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access_status_str Open Access
author Burger, Marco
author2 Kroger, D. G.
author_browse Burger, Marco
Kroger, D. G.
author_facet Kroger, D. G.
Burger, Marco
author_sort Burger, Marco
collection Thesis
dc_rights_str_mv Stellenbosch University
description Thesis (MScEng)--Stellenbosch University, 2005.
format Thesis
id oai:scholar.sun.ac.za:10019.1/50422
institution Stellenbosch University (South Africa)
language en_ZA
last_indexed 2026-06-10T12:44:59.428Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository
publishDate 2012
publishDateRange 2012
publishDateSort 2012
publisher Stellenbosch : Stellenbosch University
publisherStr Stellenbosch : Stellenbosch University
record_format dspace
source_str SUNScholar — Stellenbosch University Repository
spelling oai:scholar.sun.ac.za:10019.1/50422 Prediction of the temperature distribution in asphalt pavement samples Burger, Marco Kroger, D. G. Stellenbosch University. Faculty of Engineering. Dept. of Mechanical & Mechatronic engineering. Pavements, Asphalt Materials at low temperatures Materials at high temperatures Earth temperature Dissertations -- Mechanical engineering Theses -- Mechanical engineering Thesis (MScEng)--Stellenbosch University, 2005. ENGLISH ABSTRACT: The convection heat transfer coefficient between an infinite, horizontal surface and the natural environment is determined experimentally. It is shown that, during daytime, heat is transferred due to natural and forced convection, while during nighttime heat is transferred due to conduction and forced convection. Equations that correlate the daytime and nighttime convective heat transfer coefficients respectively, are presented. The results are compared with values obtained by other investigators. The equations for the convection heat transfer coefficient are then used to predict the surface temperature and the temperature at depth of asphalt pavement samples using a simulation model. It is found that there is good agreement between the measured and the predicted asphalt pavement sample temperatures. AFRIKAANSE OPSOMMING: Die konveksie warmteoordrags-koëffisiënt tuseen 'n oneindige, horisontale oppervlak en die natuurlike omgewing is eksperimenteel bepaal. Daar word getoon dat warmte, tydens die dag, oorgedra word deur natuurlike en geforseerde konveksie, terwyl warmte tydens die nag oorgedra word deur geleiding en geforseerde konveksie. Die resultate word vergelyk met die resultate van ander navorsers. Vergelykings wat die konveksie warmteoordrags-koëffisiënt gedurende die dag en nag onderskeidelik korreleer word voorgestel. Die vergelykings vir die konveksie warmteoordrags-koëffisiënt word dan gebruik in 'n simulasiemodel om die oppervlaktemperatuur en die temperatuur onder die oppervlakte van asfalt-padoppervlakmonsters te voorspel. 2012-08-27T11:33:24Z 2012-08-27T11:33:24Z 2005-04 Thesis http://hdl.handle.net/10019.1/50422 en_ZA Stellenbosch University 88 p. : ill. application/pdf Stellenbosch : Stellenbosch University
spellingShingle Pavements, Asphalt
Materials at low temperatures
Materials at high temperatures
Earth temperature
Dissertations -- Mechanical engineering
Theses -- Mechanical engineering
Burger, Marco
Prediction of the temperature distribution in asphalt pavement samples
title Prediction of the temperature distribution in asphalt pavement samples
title_full Prediction of the temperature distribution in asphalt pavement samples
title_fullStr Prediction of the temperature distribution in asphalt pavement samples
title_full_unstemmed Prediction of the temperature distribution in asphalt pavement samples
title_short Prediction of the temperature distribution in asphalt pavement samples
title_sort prediction of the temperature distribution in asphalt pavement samples
topic Pavements, Asphalt
Materials at low temperatures
Materials at high temperatures
Earth temperature
Dissertations -- Mechanical engineering
Theses -- Mechanical engineering
url http://hdl.handle.net/10019.1/50422
work_keys_str_mv AT burgermarco predictionofthetemperaturedistributioninasphaltpavementsamples