Aggregate polish value and its consideration in skid prediction models developed in Argentina

In 1999, asphalt mixes with special characteristics have begun to be used in Argentina, especially open graded mixes with polymer modified asphalt and low thickness, SMA and F10 of Spanish Specifications, using granitic aggregates. Because in Argentina there were no experiences about these mix types...

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Detalles Bibliográficos
Autores principales: Pagola, Marta, Giovanon, Oscar
Formato: bookPart parte de libro
Lenguaje:Inglés
Publicado: Research Publishing 2018
Materias:
aggregates
skid resistance
prediction models
Acceso en línea:http://hdl.handle.net/2133/12206
http://hdl.handle.net/2133/12206
Aporte de:
Repositorio Hipermedial de la Universidad Nacional de Rosario (UNR) de Universidad Nacional de Rosario
id I15-R121-2133-12206
record_format dspace
institution Universidad Nacional de Rosario
institution_str I-15
repository_str R-121
collection Repositorio Hipermedial de la Universidad Nacional de Rosario (UNR)
language Inglés
orig_language_str_mv eng
topic aggregates
skid resistance
prediction models
spellingShingle aggregates
skid resistance
prediction models
Pagola, Marta
Giovanon, Oscar
Aggregate polish value and its consideration in skid prediction models developed in Argentina
topic_facet aggregates
skid resistance
prediction models
description In 1999, asphalt mixes with special characteristics have begun to be used in Argentina, especially open graded mixes with polymer modified asphalt and low thickness, SMA and F10 of Spanish Specifications, using granitic aggregates. Because in Argentina there were no experiences about these mix types from the point of view of skid resistance, since the beginning of construction a surveillance program have begun. Aggregates were tested using Accelerated Polishing, Micro Deval and Los Angeles tests. There were found that Polish Stone Value results (PSV) of Argentine granitic aggregates are low, with values around 40, because of that, surveillance program was followed with more attention. A test section evolution of 4.4 Km and 5 lanes with F10 surface mix on one of highest traffic of Argentina was followed. Tests were done on left track of each lane, two lanes of light traffic, and two lanes of heavy traffic. Test section was analyzed in sectors of 1 Km. Friction coefficient was measure using British Pendulum Tester, and macrotexture was measured using Sand Patch method. As a result was developed a skid prediction model that considers PSV, traffic volume and the age in service, as parameters. Additionally, on PSV test, friction was measured before and after polishing. Results indicated that PSV obtained before test is similar to the initial value of skid model, which is valid after the initial period of two month under traffic.
format bookPart
parte de libro
author Pagola, Marta
Giovanon, Oscar
author_facet Pagola, Marta
Giovanon, Oscar
author_sort Pagola, Marta
title Aggregate polish value and its consideration in skid prediction models developed in Argentina
title_short Aggregate polish value and its consideration in skid prediction models developed in Argentina
title_full Aggregate polish value and its consideration in skid prediction models developed in Argentina
title_fullStr Aggregate polish value and its consideration in skid prediction models developed in Argentina
title_full_unstemmed Aggregate polish value and its consideration in skid prediction models developed in Argentina
title_sort aggregate polish value and its consideration in skid prediction models developed in argentina
publisher Research Publishing
publishDate 2018
url http://hdl.handle.net/2133/12206
http://hdl.handle.net/2133/12206
work_keys_str_mv AT pagolamarta aggregatepolishvalueanditsconsiderationinskidpredictionmodelsdevelopedinargentina
AT giovanonoscar aggregatepolishvalueanditsconsiderationinskidpredictionmodelsdevelopedinargentina
bdutipo_str Repositorios
_version_ 1764820410781663235

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