Structural and Thermal Analysis of Asphalt Solar Collector Using Finite Element Method

Sheeba, Jinshah Basheer; Rohini, Ajith Krishnan

doi:10.1155/2014/602087

Cited by 32 publications

(14 citation statements)

References 6 publications

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“…Another pipeline can be used as a seasonal energy storage in summer and used for snow-melting in winter. The optimized asphalt pavements could act as solar collectors [1,39] and mitigate the urban heat island (UHI) effect [40].…”

Section: Discussionmentioning

confidence: 99%

Temperature Measurements on a Solar and Low Enthalpy Geothermal Open-Air Asphalt Surface Platform in a Cold Climate Region

et al. 2020

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Solar heat, already captured by vast asphalt fields in urban areas, is potentially a huge energy resource. The vertical soil temperature profile, i.e., low enthalpy geothermal energy, reveals how efficiently the irradiation is absorbed or radiated back to the atmosphere. Measured solar irradiation, heat flux on the asphalt surface and temperature distribution over a range of depths describe the thermal energy from an asphalt surface down to 10 m depth. In this study, those variables were studied by long-term measurements in an open-air platform in Finland. To compensate the nighttime heat loss, the accumulated heat on the surface should be harvested during the sunny daytime periods. A cumulative heat flux over one year from asphalt to the ground was 70% of the cumulative solar irradiance measured during the same period. However, due to the nighttime heat losses, the net heat flux during 5 day period was only 18% of the irradiance in spring, and was negative during autumn, when the soil was cooling. These preliminary results indicate that certain adaptive heat transfer and storage mechanisms are needed to minimize the loss and turn the asphalt layer into an efficient solar heat collector connected with a seasonal storage system.

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Section: Discussionmentioning

confidence: 99%

Temperature Measurements on a Solar and Low Enthalpy Geothermal Open-Air Asphalt Surface Platform in a Cold Climate Region

et al. 2020

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“…Temperatur dan usia aspal akan mempengaruhi daya adhesi terhadap agregat [8]. Perubahan temperatur dan usia aspal akan membuat aspal menjadi kaku dan rapuh apabila masih digunakan [9].…”

Section: Aspalunclassified

Perbandingan Karakteristik Aspal Pertamina dengan Aspal Shell Sebagai Campuran Aspal Beton

Putra

Sholichin

2021

kern

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Perkerasan jalan di Indonesia sering terjadi kerusakan pada usia perkerasan yang relatif cukup rendah. Upaya mengatasi kerusakan jalan perlu dilakukan penyesuaian material-material yang digunakan dalam pembangunan perkerasan jalan, salah satunya adalah aspal. Dalam penelitian ini dibahas mengenai perbandingan penggunaan aspal Pertamina penetrasi 60/70 dan aspal Shell penetrasi 60/70 dalam campuran aspal beton. Variasi kadar aspal yang digunakan dalam penelitian ini adalah 4%, 4,5%, 5%, 5,5%. Dari hasil pengujian sifat fisik aspal Pertamina Penetrasi 60/70 diperoleh nilai penetrasi aspal sebesar 66,6 mm, titik lembek pada 51,5℃, titik nyala pada 290℃, daktilitas sebesar 136,67 cm dan kadar aspal optimum pada kadar 5,5%. Nilai stabilitas yang diperoleh sebesar 4969,60 kg, nilai flow sebasar 6,15 mm, nilai Marshall Quotient sebesar 818,55 kg/mm. Hasil pengujian fisik aspal Shell penetrasi 60/70 diperoleh nilai penetrasi, titik lembek, titik nyala dan daktilitas sebesar 69,4 mm, 56℃, 318℃ dan 128 cm. Kadar aspal optimum aspal Shell penetrasi 60/70 diperoleh pada kadar 5,5% dengan nilai stabilitas sebesar 5214,29 kg, nilai flow sebesar 4,34 mm, nilai Marshall Quetient sebesar 1203.21 kg/mm. Dari hasil pengujian dapat disimpulkan bahwa aspal Shell penetrasi 60/70 relatif lebih baik ditinjau dari besar hasil nilai penetrasi, titik lembek, nilai stabilitas, flow, dan Marshall Quotient yang lebih tinggi dibandingkan aspal Pertamina penetrasi 60/70.

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“…It directly leads to the increase of asphalt pavement temperature and the aging of pavement materials. e maximum temperature of asphalt pavements subjected to solar radiation can reach 60 °C-70 °C [34]. At this time, the antideformation ability of asphalt pavement is greatly reduced, and rut is likely to occur under vehicle loads [24].…”

Section: Solar Radiationmentioning

confidence: 99%

Climate Regionalization of Asphalt Pavement Based on the K‐Means Clustering Algorithm

Yang

Qian

et al. 2020

Advances in Civil Engineering

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The climate regionalization of asphalt pavement plays an active role in ensuring the good performance and service life of asphalt pavement. In order to better adapt to the climate characteristics of a region, this study developed a multi-index method of climate regionalization of asphalt pavement. First, meteorological data from the research region were statistically analyzed and the major climate variables were identified. Then, a principal component analysis (PCA) was used to eliminate any correlation between the major climate variables. Three principal components were extracted by the PCA as cluster factors, namely, the temperature factor, precipitation factor, and radiation factor. The research region was divided into the following four asphalt pavement climate zones via the K-means clustering algorithm. Those zones are affected by the climate comprehensively: an inland zone with high temperatures, little rainfall, and radiation, a coastal zone with high temperatures, and a rainy mountainous zone. The results of the climate regionalization were compared with the results of on-site investigations. The pavement degradation in each climatic zone was related to the climate characteristics of the region. Probabilistic neural network (PNN) and support vector machine (SVM) climate regionalization predictive models were established with MATLAB. The clustering factors were used as the input data to identify the climate zones, and the identification accuracy rate was determined to be over 90%. The climate regionalization of pavement can provide reference and guidance for the selection of reasonable technical measures, parameters, and building materials in highway projects with similar climatic conditions.

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Structural and Thermal Analysis of Asphalt Solar Collector Using Finite Element Method

Cited by 32 publications

References 6 publications

Temperature Measurements on a Solar and Low Enthalpy Geothermal Open-Air Asphalt Surface Platform in a Cold Climate Region

Temperature Measurements on a Solar and Low Enthalpy Geothermal Open-Air Asphalt Surface Platform in a Cold Climate Region

Perbandingan Karakteristik Aspal Pertamina dengan Aspal Shell Sebagai Campuran Aspal Beton

Climate Regionalization of Asphalt Pavement Based on the K‐Means Clustering Algorithm

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