Models for predicting reflection cracking of hot-mix asphalt overlays
Robert L. Lytton, National Research Council (U.S.). Transportation Research Board, National Cooperative Highway Research Program, American Association of State Highway and Transportation Officials, Texas Transportation Institute, United States. Federal Highway Administration
Transportation Research Board, 2010 - Technology & Engineering - 60 pages
TRB's National Cooperative Highway Research Program (NCHRP) Report 669: Models for Predicting Reflection Cracking of Hot-Mix Asphalt Overlays explores mechanistic-based models for predicting the extent and severity of reflection cracking in hot-mix asphalt overlays. Appendices A through T to NCHRP Report 669 are available online.
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Prediction of Temperature in a IIMA Overlay
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aide load air temperature albedo amount and severity analysis ANN algorithms ANN models Artificial Neural Network asphalt overlay asphalt pavement surface asphalt surface axle load distribution axle type calculated calibration coefﬁcients climatic zones Complex Modulus computational crack growth crack length cracked asphalt pavement cracking data Cumulative Axle Load Days Figure deﬁning Design Program Development of transverse Engineering Equation extent and severity ﬁeld data ﬁnite element ﬁt fracture mechanics geosynthetic HMA overlay interlayer L+M+H layer LTPP section model parameters modulus number of days observed output pavement structure Pavement Temperature provided in Appendix reflection cracking distress reﬂection cracking model scale parameter sets of calibration shear modulus shearing stress shows the predicted Stress Intensity Factor Table tensile strength test sections Texas Transportation Institute tire length tire patch length trafﬁc category trafﬁc data trafﬁc loads Transportation Research Board transverse reﬂection cracking tridem values vehicle class viscoelastic Wet-No Freeze