Bayesian Method to Determine the Dynamic Material Characteristics of Hot-Mix Asphalt

被引：1

作者：

Mun, Sungho ^{[1
]}

Lee, Seung-Jung ^{[2
]}

机构：

[1] Seoul Natl Univ Sci & Technol, Dept Civil Engn, Seoul 139743, South Korea

[2] Korea Univ, Sch Civil Environm & Architectural Engn, Seoul 136701, South Korea

来源：

JOURNAL OF MATERIALS IN CIVIL ENGINEERING | 2015年 / 27卷 / 04期

基金：

新加坡国家研究基金会;

关键词：

Bayesian method; Dynamic modulus; Hot-mix asphalt; Impact resonance test; Linear viscoelastic material; CONCRETE; RELAXATION; MODULUS;

D O I：

10.1061/(ASCE)MT.1943-5533.0001098

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

A reliable method for determining the dynamic material characteristics of hot-mix asphalt using a Bayesian method based on Latin hypercube sampling, impact resonance testing (IRT), and the shift factor of linear viscoelastic (LVE) asphalt concrete specimens is reported. Discrete resonance moduli data were obtained from the IRT at temperatures of 5, 25, 40, and 50 degrees C. The shift factor of the LVE was used to translate the discrete points of resonance moduli to higher or lower frequencies, depending on the temperature of the specimen. Based on the temperature-frequency combinations, Bayesian statistical predictions were used to create a dynamic modulus master-curve representation, using the resonance moduli data and Latin hypercube sampling. The results for three different hot-mix asphalt mixtures were in good agreement with dynamic moduli data obtained using other testing methods. (C) 2014 American Society of Civil Engineers.

引用

页数：7

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