doi:10.16186/j.cnki.1673-9787.2023030028

Received:2023-03-11

Revised:2023-04-21

Online Date:2023-09-26

Multi-scale study on bending fatigue damage strength of asphalt mixture（Online）

LI Youyun1, WANG Bin1, GAO Yingli1, LYU Yan2

1.School of Traffic and Transportation Engineering，Changsha University of Science and Technology，Changsha  410114，Hunan，China；2.Jiangsu Zhongshe Group Co.，LTD.，Wuxi  214000，Jiangsu，China

Abstract:In order to verify the validity of the multi-scale algorithm for numerical experiments simulating semi-circular bending and tensile strength parameters， based on the multi-scale idea and semi-circular bending test ，the finite element （FEM） numerical model of the semicircular bending specimens was constructed by dividing the asphalt mixture into different micro-area scales，and the multi-scale iterative calculation was combined to predict the bending tensile strength of asphalt mixture at all levels，and the bending and tensile strength parameters of asphalt mixtures with different particle sizes obtained by indoor semicircular bending tests were used as macro validation tests and compared with those obtained by numerical simulation tests using multi-scale algorithms. The results show that： in the process of fatigue damage of asphalt mixture，and the decay rate of flexural tensile strength is relatively slow in the early stage，while in the middle and late stage，and the flexural tensile strength enters a sharp decay stage，and the attenuation lawof multi-scale numerical simulation test is consistent with that of laboratory test，and the absolute value ofrelative error of flexural tensile strength is controlled within 8%.It is concluded that multi-scale numerical simulations for predicting the flexural and tensile strength parameters of asphalt mixtures during fatigue are effective and that the algorithm can provide some reference significance for similar practical projects.

Key words:asphalt mixture;semicircle bending test;microstructure;fatigue property;stiffness parameter;multi-scale prediction

CLC：U414