Cool Pavements

Lee, K. Wayne; Kohm, Steven

doi:10.1007/978-3-662-44719-2_16

Cited by 7 publications

(2 citation statements)

References 11 publications

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“…This effect tends to be more pronounced in calm, clear weather and during the winter months, and urban-rural temperature differences of up to 5.9 • C have been observed at midnight in Adelaide, Australia [35]. Air temperatures up to 12 • C warmer in cities have also been observed compared to less built-up surrounding areas on a clear, calm night [36].…”

Section: Effect Of Urban Heat Islands On Pavement Temperaturesmentioning

confidence: 94%

African Case Studies: Developing Pavement Temperature Maps for Performance-Graded Asphalt Bitumen Selection

et al. 2022

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The reliable performance of roads is crucial for service delivery, and it is a catalyst for domestic and cross-border spatial development. Paved national roads are expected to carry higher traffic volumes over time as a result of urbanization and to support the economic development in the continent. Increased traffic levels combined with expected increases in air temperatures as a result of global warming highlight the need to appropriately select bituminous road materials for a reliable performance of asphalt roads. The objective of the paper is to present African case studies on the development of temperature maps necessary for performance-graded bitumen selection for road design and construction. A consistent approach, that caters for the variability of geographical, environmental and climatic conditions, does not currently exist within the continent. Therefore, this paper discusses a series of critical components in the development of temperature maps for performance-graded bitumen including (i) pavement temperature models and climatic zones in Africa; (ii) the effect of urban heat islands on pavement temperature; (iii) sources of weather data and (iv) the mapping procedure to produce temperature maps. Characterizing the thermal properties of the pavement was found to be an important factor for reliably calculating expected road temperatures as well as the consideration of the ambient climate for a given location. During this study, the urban heat island effect was found to have little influence on the maximum pavement temperatures but a significant effect on the minimum pavement temperatures. Some areas of the urban district assessed in this investigation were found to increase by two performance grades according to the minimum temperature criteria. The recent observed weather data from weather stations are the most accurate means of measurement of the ambient environmental conditions necessary for performance-based specifications, but they are not always easily accessible, and therefore other sources of data, such as satellite data, may need to be used instead. With the expected temperature increases expected as a result of climate change, the use of Global Climate Models also opens new avenues for performance-based material selection in the African continent for expected climates as an alternative to traditional approaches based on historically observed weather.

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Section: Effect Of Urban Heat Islands On Pavement Temperaturesmentioning

confidence: 94%

African Case Studies: Developing Pavement Temperature Maps for Performance-Graded Asphalt Bitumen Selection

et al. 2022

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“…There are well designed concrete pavements that do not need any maintenance beyond their 40 years life time. Less maintenance means less traffic delays, lower pollution, saving more money and time [5,6].…”

Section: Introductionmentioning

confidence: 99%

Effect of Different Ingredients of Ultra High Performance Asphalt Concrete Pavement on Modulus of Elasticity Using Response Surface Modelling

Mosaberpanah

Eren

2019

SSP

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This paper provides the result of experimental and statistical modeling study on modulus of elasticity of Ultra High Performance Asphalt Concrete Pavement consisting different level of silica fume, superplastisizer, steel fiber, cement, and water binder ratio. Number of experiments designed by using design of experiment (DOE) in two levels, results modeled by using analysis of variance (ANOVA), and monitored using response surface methodology. This study clearly revealed the effect of each variable and their interactions on modulus of elasticity of Ultra High Performance Asphalt Concrete Pavement. This study is valid for the mixes of UHPC with 0.18–0.32 water binder ratio, 0.04–0.08 steel fibre, 0.7–1.3 cement, 0.15–0.30 silica fume, and 0.04–0.08 superplasticiser by aggregate mass.

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