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Dynamic Mechanical Characterization of Warm-Mixed Steel Slag-Crumb Rubber Modified Asphalt Mixture in Wide- and Narrow-Frequency Domains.

作者信息

Zhang Fei, Huo Bingyuan, Li Chao, Liu Heng, Li Pengzhi, Xing Yongming, Wang Lan, Bai Pucun

机构信息

School of Materials Science and Engineering, Inner Mongolia University of Technology, Hohhot 010051, China.

School of Civil Engineering, Inner Mongolia University of Technology, Hohhot 010051, China.

出版信息

Polymers (Basel). 2025 May 23;17(11):1449. doi: 10.3390/polym17111449.

Abstract

To investigate the dynamic mechanical properties of warm-mix steel slag-crumb rubber modified asphalt mixtures across wide- and narrow-frequency domains and evaluate the applicability of warm-mix technology, four distinct mixtures were prepared. The dynamic modulus characteristics under measured temperatures and frequencies were initially analyzed through complex modulus testing to elucidate narrow-frequency-domain mechanical behavior. Subsequently, leveraging the linear viscoelastic (LVE) theory and time-temperature superposition principle (TTSP), both the 2 Springs, 2 Parabolic Elements and 1 Dashpot (2S2P1D) mechanical element model and Modified Havriliak-Negami (MHN) mathematical model were established based on experimental data to characterize wide-frequency-domain dynamic responses. The results demonstrate substantial consistency in mechanical interpretation between narrow- and wide-frequency domain datasets, with enhanced information resolution achieved in wide-frequency analysis. Both models demonstrate comparable accuracy in characterizing the thermomechanical behavior of warm-mix steel slag-crumb rubber modified asphalt mixture across extended frequency and temperature ranges, while showing negligible performance discrepancies between the 2S2P1D and MHN formulations. Furthermore, both Cole-Cole and Black diagrams convincingly demonstrate the reliability of model predictions. This systematic investigation confirms the technical viability of warm-mix steel slag-crumb rubber modified asphalt mixture while establishing a dual-validated modeling framework for comprehensive performance prediction.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0366/12157593/44eb49b76b53/polymers-17-01449-g001.jpg

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