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Abstract
Understanding the complex stress-strain hysteresis behavior of asphalt binders under varied conditions is critical for optimizing pavement performance. This study addresses the challenge by analyzing and modeling asphalt binder responses in oscillating shear mode across different aging states (unaged, short-term aged, and long-term aged), stretch amplitudes, frequencies, and temperatures. Fifty-three stress-strain hysteresis loops were meticulously analyzed, revealing distinct stress paths relative to applied stretch levels. A nine-parameter parallel rheological framework model was developed, integrating a four-parameter eight-chain (FEC) hyperelastic model in one network and a FEC hyperelastic model with a linear viscoelastic flow element in series in another. This constitutive model was implemented in LS-DYNA finite element simulations to predict experimentally-measured stress-strain hysteresis loops accurately. The research demonstrates the model’s capability to simulate both linear and nonlinear viscoelastic responses of asphalt binders across a wide range of environmental and loading conditions. This approach significantly enhances our ability to capture and understand the stress-strain behavior critical for asphalt pavement durability and performance optimization.
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1 Aswan University, Department of Civil Engineering, Aswan, Egypt (GRID:grid.417764.7) (ISNI:0000 0004 4699 3028)
2 Huazhong Univ. of Science and Technology, School of Civil and Hydraulic Engineering, Wuhan, China (GRID:grid.33199.31) (ISNI:0000 0004 0368 7223)
3 Universiti Malaysia Terengganu, Department of Maritime Technology, Faculty of Ocean Engineering Technology and Informatics, Kuala Terengganu, Malaysia (GRID:grid.412255.5) (ISNI:0000 0000 9284 9319)
4 Indian Institute of Technology Roorkee, Department of Civil Engineering, Roorkee, India (GRID:grid.19003.3b) (ISNI:0000 0000 9429 752X)
5 Oregon State University, School of Civil and Construction Engineering, Corvallis, USA (GRID:grid.4391.f) (ISNI:0000 0001 2112 1969)
6 Mansoura University, Public Works Engineering Department, Faculty of Engineering, Mansoura, Egypt (GRID:grid.10251.37) (ISNI:0000 0001 0342 6662)