2022
DOI: 10.3390/ma15124325
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Reliability of Calculation of Dynamic Modulus for Asphalt Mixtures Using Different Master Curve Models and Shift Factor Equations

Abstract: To develop a mechanistic-empirical pavement design system for Norwegian conditions, this paper evaluates the influence of the adoption of different models and shifting techniques on the determination of dynamic modulus master curves of asphalt mixtures. Two asphalt mixture types commonly used in Norway, namely Asphalt Concrete (AC) and Stone Mastic Asphalt (SMA) containing neat bitumen and polymer-modified bitumen, were prepared by the roller compactor, and their dynamic moduli were determined by the cyclic in… Show more

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Cited by 11 publications
(8 citation statements)
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“…A strain limitation of 75-125 µε was used during the test procedure to keep the specimens within the elastic range. The phase angle of the PU mixture was measured in the experiment at six temperatures (5,15,25,35,45,55 • C) and eight loading frequencies (0.1, 0.5, 1, 2, 5, 10, 20, 25 Hz). The average phase angle values of four replicates were used for fitting the master curve.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…A strain limitation of 75-125 µε was used during the test procedure to keep the specimens within the elastic range. The phase angle of the PU mixture was measured in the experiment at six temperatures (5,15,25,35,45,55 • C) and eight loading frequencies (0.1, 0.5, 1, 2, 5, 10, 20, 25 Hz). The average phase angle values of four replicates were used for fitting the master curve.…”
Section: Methodsmentioning
confidence: 99%
“…To evaluate five phase angle model's fitting divergence and minimize the error between the predicted and measured phase angle, four different error minimization methods were applied to determine the "goodness of fit" [55]: (1) Se/Sy minimization, as in Equations ( 14) and ( 15), (2) R 2 maximization as in Equation ( 16), (3) the Sum of Square Error (SSE) minimization as in Equation ( 17), and (4) Error 2 minimization as in Equation (18).…”
Section: Error Minimization Methodsmentioning
confidence: 99%
“…To evaluate the divergence of fit between the five dynamic modulus models and minimize the error between predicted and measured dynamic modulus, "goodness-offit" is used in this study. Four different solver methods were applied to determine the "goodness-of-fit" [33]: the first (1) used Se/Sy (the ratio of the standard error (Se) to the standard deviation (Sy)) minimization, the second (2) used R 2 maximization, the third (3) used the Sum of Square Error (SSE) minimization, and the fourth (4) used Error 2 minimization.…”
Section: Goodness-of-fit Statisticsmentioning
confidence: 99%
“…The study [32] employed five distinct master curve models to predict the dynamic modulus and corresponding phase angle for three different kinds of asphalt mixture, and recommended a model that combined the CAM model and sigmoidal model. Reference [33] adopted three master curve models and five kinds of shift equation factors to compare the prediction accuracy for four kinds of asphalt mixtures, and the SLS model and the Williams-Landel-Ferry equation produced the best-fitting results. Study [29] adopted two master curve models and three kinds of shift factor equations to construct the master curve model of the dynamic modulus, and the GLS model was proved to predict more precisely.…”
Section: Introductionmentioning
confidence: 99%
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