journal article·2026-02-21Open access

Identifying Fatigue Behaviors of Asphalt Mixture Under Different Strain Waveforms, Temperatures and Rest Periods with Dissipated Energy Method

Yu Cai, Xiangping Wang, Huailei Cheng, Jia Guo, Mingjun Hu, Lijun Sun

Applied Sciences· Volume 16· Issue 4

Abstract

Fatigue behaviors in asphalt mixtures are influenced by multiple factors, including strain level, strain waveform, and temperature, as well as rest periods. This complexity makes the analysis and interpretation of fatigue data particularly challenging. Dissipated energy (DE) is effective for developing unified fatigue models that characterize asphalt mixture behavior across varying temperatures and strain levels. However, its applicability requires further validation across a broader range of loading scenarios, especially those involving diverse strain waveforms and rest periods. This research aimed to apply the dissipated energy method to analyze fatigue behaviors of asphalt mixture subjected to extended combinations of strain waveforms and temperatures, as well as rest periods. It was found that strain waveform significantly impacts DE values and the rate of DE variation in asphalt mixtures, which contributes to differences in fatigue life at varying strain waveforms. The initial DE (IDE) indicator establishes a distinct correlation with the fatigue life of the asphalt mixture, unaffected by strain waveforms or strain levels. However, this IDE-fatigue life relationship is influenced by rest periods and temperatures. Longer rest periods shift the IDE-fatigue life curve toward a higher fatigue life, indicating improved performance. Through IDE analysis, a generalized model was formulated to represent IDE-fatigue life relationships across broad strain waveforms and strain levels, as well as rest periods, facilitating fatigue life prediction under changing conditions. This research provides valuable insights into the fatigue characteristics and underlying mechanisms of asphalt mixtures from an energy perspective.
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Research context

OpenAlex topics: Asphalt Pavement Performance Evaluation · Infrastructure Maintenance and Monitoring · Fatigue and fracture mechanics

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Zhangji Expressway Reconstruction and Expansion Project Office of Jiangxi Provincial Transportation Investment Group Co., Ltd., Nanchang 330000, China

Hebei Transportation Investment Group Hengde Expressway Co., Ltd., Shijiazhuang 050000, China

The Key Laboratory of Road and Traffic Engineering Ministry of Education, Tongji University, Shanghai 201804, China

School of Infrastructure Engineering, Dalian University of Technology, Dalian 116024, China

Funding

National Natural Science Foundation of China · Key Engineering Science and Technology Project of Jiangxi Provincial Department of Transportation · Research Project of Hebei Transportation Investment Group Hengde Expressway Co · Fundamental Research Funds for the Central Universities

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