Application of X-ray tomography to assess fatigue structural changes in asphalt mixtures

IF 1.2 4区 工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY Bulletin of the Polish Academy of Sciences-Technical Sciences Pub Date : 2023-11-06 DOI:10.24425/BPAS.2019.128604
P. Mackiewicz, A. Szydło
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引用次数: 2

Abstract

The article presents an analysis of the change in air voids in asphalt mixtures subjected to fatigue tests at three temperatures of 0°C, 10°C and 25°C. The X-ray computerized tomography imaging method, XCT, was used to identify the air voids in the samples. The research allowed to determine changes in the content of air voids in subsequent fatigue cycles in the sample area. The relationship between air voids volume and the stiffness modulus value was also determined during fatigue for three temperatures. The largest changes were found in samples with notches at 0°C. The analysis of the change in the content of air voids showed that the micro-cracking nucleation processes develop with the number of fatigue cycles. Using the numerical model finite element method we determined the distribution and change in fatigue damage in the extreme areas of the sample during various stages of fatigue. We found clear relationship between the damage and the increased content of air voids.
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应用x射线断层扫描评估沥青混合料的疲劳结构变化
本文分析了在0°C、10°C和25°C三种温度下进行疲劳试验的沥青混合料中空隙率的变化。x射线计算机断层扫描成像方法(XCT)用于识别样品中的空气空洞。该研究允许确定试样区域在随后的疲劳循环中空气空洞含量的变化。同时确定了三种温度下的疲劳过程中空隙量与刚度模量的关系。在0°C时,有缺口的样品变化最大。对孔隙含量变化的分析表明,微裂纹成核过程随着疲劳循环次数的增加而发展。采用数值模型有限元法确定了试样在不同疲劳阶段的极端区域疲劳损伤分布及变化规律。我们发现损伤与空气空洞含量增加之间存在明显的关系。
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来源期刊
CiteScore
2.80
自引率
16.70%
发文量
0
审稿时长
6-12 weeks
期刊介绍: The Bulletin of the Polish Academy of Sciences: Technical Sciences is published bimonthly by the Division IV Engineering Sciences of the Polish Academy of Sciences, since the beginning of the existence of the PAS in 1952. The journal is peer‐reviewed and is published both in printed and electronic form. It is established for the publication of original high quality papers from multidisciplinary Engineering sciences with the following topics preferred: Artificial and Computational Intelligence, Biomedical Engineering and Biotechnology, Civil Engineering, Control, Informatics and Robotics, Electronics, Telecommunication and Optoelectronics, Mechanical and Aeronautical Engineering, Thermodynamics, Material Science and Nanotechnology, Power Systems and Power Electronics.
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