Long-Term Aging of Asphalt Mixtures for Performance Testing and Prediction: Phase III Results (2021) / Chapter Skim
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Pages 120-123
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120 The main products of the research reported herein are: • New, simplified, and recalibrated CAI that determines laboratory long-term aging durations for loose mix aged in the oven at 95°C to simulate field long-term aging state for the desired climatic conditions and pavement depth; • Refined and field-calibrated PAM that predicts the evolution of binder |G* | at 64°C, 10 rad/s for any field aging duration, climatic conditions, and pavement depth; • A methodology that allows estimating the inputs to the PAM using RTFO and 40 hours of PAV or PG instead of loose mixture aging; and • AMAC model that translates the changes in binder |G*
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Conclusions and Suggested Research 121 Refinement of the Pavement Aging Model The PAM was established by calibrating the kinetics model, proposed by Kim et al.
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122 Long-Term Aging of Asphalt Mixtures for Performance Testing and Prediction: Phase III Results • Level 3: the log |G* | at short-term aging and M correlate with each other and with the PG of the binder.
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Conclusions and Suggested Research 123 of each of the RAP and virgin materials. If 100% blending between RAP and virgin materials is assumed not true, three different kinetics reactions would be occurring simultaneously in the pavement since each of the RAP, virgin, and blended materials would have different kinetics parameters.
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