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Prediction Model of Asphalt Content of Asphalt Mixture Based on Dielectric Properties

التفاصيل البيبلوغرافية
العنوان: Prediction Model of Asphalt Content of Asphalt Mixture Based on Dielectric Properties
المؤلفون: Yanhui Zhong, Yilong Wang, Bei Zhang, Xiaolong Li, Songtao Li, Yanmei Zhong, Meimei Hao, Yanlong Gao
المصدر: Advances in Civil Engineering, Vol 2020 (2020)
بيانات النشر: Wiley, 2020.
سنة النشر: 2020
المجموعة: LCC:Engineering (General). Civil engineering (General)
مصطلحات موضوعية: Engineering (General). Civil engineering (General), TA1-2040
الوصف: The rapid detection of asphalt content in asphalt mixture is of great significance to the quality evaluation of asphalt pavement. Based on the dielectric properties of an asphalt mixture, the prediction model of asphalt content is deduced theoretically using three types of dielectric models: Lichtenecker-Rother (L-R) model, Rayleigh model, and Bottcher equation. Under the condition of laboratory mixing at room temperature (about 20–25°C), a dielectric test of asphalt mixture is conducted to verify the applicability of the model. The test results indicate that the dielectric constant of the asphalt mixture is inversely proportional to the asphalt content and directly proportional to the aggregate size of the mixture. Among the models, the Rayleigh model has a wide range of applications and exhibits a high accuracy, with an average relative error of only 1.86%. The results provide a theoretical basis for the nondestructive testing of asphalt pavements using ground-penetrating radar.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1687-8086
1687-8094
Relation: https://doaj.org/toc/1687-8086; https://doaj.org/toc/1687-8094
DOI: 10.1155/2020/6661593
URL الوصول: https://doaj.org/article/4d96e478f2f5425ebd6ac76cf1461174
رقم الأكسشن: edsdoj.4d96e478f2f5425ebd6ac76cf1461174
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:16878086
16878094
DOI:10.1155/2020/6661593