摘要
为丰富和发展有关沥青混合料力学特性的研究,验证了多尺度数值模拟对于沥青混合料抗压强度参数预测的有效性。通过单轴压缩试验获得不同粒径沥青混合料的疲劳损伤数据和强度参数,基于多尺度数值模拟对沥青混合料在疲劳损伤演化历程中的力学强度进行预测,对比分析两者的抗压强度参数。结果表明:沥青混合料的抗压强度随着疲劳程度的逐渐加大而不断降低,且在靠近失效临界强度时呈急速下降趋势。模拟得到的抗压强度与试验结果存在误差,但均小于9%,满足精度要求,为改进沥青混合料设计和生产实践提供参考。
Asphalt mixtures are multiphase inhomogeneous composite materials composed primarily of coarse aggregate,asphalt mortar,and voids.The internal structure of asphalt mixtures is irregular and the mechanical properties of the components are complex,which results in a highly complex process of accumulation and extension of fatigue damage.This paper predicts the fatigue mechanical parameters of asphalt mixtures on the basis of macro-mechanical tests using combined multi-scale algorithms and numerical simulations.It also investigates the mechanical attenuation of asphalt mixtures in the course of fatigue damage evolution employing combined micro-and macro-transversal scales.First,the relevant specifications are explored for building the mix ratio for asphalt mixtures with varying degrees of granularity.Then,uniaxial compression tests are performed on each group of specimens along with an unconfined compressive strength and fatigue test to observe and quantify the fatigue damage in relation to the evolution of the mechanical strength of different asphalt mixtures.Next,a statistical analysis is made on the digital images of the asphalt mixture specimen sections to determine the geometric morphology,spatial location,and other characteristic parameters of the aggregate particles.Based on the random polyhedral aggregates,a suitable mesoscale model is generated.The stiffness parameter of asphalt mixture AC-1.18 is employed as the initial iteration value for the computational procedure of the multiscale algorithm,which predicts the mechanical strengths of asphalt mixtures comprising different particle sizes through a process of progressive homogenization of the small-sized aggregate into a large-sized aggregate.We aim to predict the fatigue damage stiffness parameters of asphalt mixtures containing different grain sizes.A numerical model of a cylindrical mixture with polyhedral aggregates at different scales is generated by ABAQUS-Python based on the uniaxial compression test and the concept of a multiscale algorithm.Through multi-layer iteration,the compressive strength of the next level of asphalt mixture is predicted.Finally,we analyze the internal stress change and compressive strength attenuation law of the mixture during the fatigue damage evolution.The uniaxial compression test provides compressive strength parameters in the evolution of fatigue damage of the mixture as a macro test while the multiscale numerical simulation test yields a micro test result.Both the micro-scale and macro-scale tests are compared and analyzed.Our findings indicate the compressive strength of the asphalt mixture exhibits a gradual decline with an increase in the degree of fatigue and a subsequent rapid decline near the critical strength for failure.While there is a discrepancy(less than 9%)between the simulated compressive strength and the test results,our method meets the accuracy requirements and provides insights for enhancing the design and durability of asphalt mixtures.
作者
李友云
徐加林
高英力
盛佳聪
LI Youyun;XU Jialin;GAO Yingli;SHENG Jiacong(School of Traffic and Transportation Engineering,Changsha University of Science and Technology,Changsha 410114,China;Hunan Provincial Engineering Technology Research Center for Novel and Carbon Neutral Road Material,Xiangtan 411104,China;Yiyang Traffic Planning Survey and Design Institute Co.,Ltd.,Yiyang 413000,China)
出处
《重庆理工大学学报（自然科学）》
CAS
北大核心
2024年第11期81-91,共11页
Journal of Chongqing University of Technology：Natural Science
基金
国家自然科学基金项目(52278239)
湖南省自然科学基金项目(2022JJ30042)。
关键词
沥青混合料
单轴压缩试验
多尺度算法
疲劳性能
asphalt mixture
uniaxial compression test
multiscale algorithm
fatigue performance
作者简介
李友云,男,博士,教授,主要从事道路结构和路面材料的研究;通信作者:徐加林,男,硕士研究生,主要从事路面材料和图像处理的研究,E-mail:xjl_csust@stu.csust.edu.cn。
