National Academies Press: OpenBook

A Mechanistic–Empirical Model for Top–Down Cracking of Asphalt Pavements Layers (2018)

Chapter: APPENDIX M. THE LIST OF NEW INPUT PARAMETERS FOR THE TOP-DOWN CRACKING DESIGNING PROGRAM

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Suggested Citation:"APPENDIX M. THE LIST OF NEW INPUT PARAMETERS FOR THE TOP-DOWN CRACKING DESIGNING PROGRAM ." National Academies of Sciences, Engineering, and Medicine. 2018. A Mechanistic–Empirical Model for Top–Down Cracking of Asphalt Pavements Layers. Washington, DC: The National Academies Press. doi: 10.17226/25304.
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Page 188
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Suggested Citation:"APPENDIX M. THE LIST OF NEW INPUT PARAMETERS FOR THE TOP-DOWN CRACKING DESIGNING PROGRAM ." National Academies of Sciences, Engineering, and Medicine. 2018. A Mechanistic–Empirical Model for Top–Down Cracking of Asphalt Pavements Layers. Washington, DC: The National Academies Press. doi: 10.17226/25304.
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Page 189
Page 190
Suggested Citation:"APPENDIX M. THE LIST OF NEW INPUT PARAMETERS FOR THE TOP-DOWN CRACKING DESIGNING PROGRAM ." National Academies of Sciences, Engineering, and Medicine. 2018. A Mechanistic–Empirical Model for Top–Down Cracking of Asphalt Pavements Layers. Washington, DC: The National Academies Press. doi: 10.17226/25304.
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Page 190

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M-1 APPENDIX M. THE LIST OF NEW INPUT PARAMETERS FOR THE TOP-DOWN CRACKING DESIGNING PROGRAM The top-down cracking designing program has new input parameters in the module of traffic, climate, and material properties, which are listed in the table below. Table M-1. List of New Parameters in the Top-Down Cracking Program Program Module Model New Parameters Input Level Data Sources Test Protocol Traffic Cumulative axle load distribution model (Eq.4.49)  ,  1 Data of the sections used are provided as electronical attachment Other sections can be found in LTPP database N/A Crack initiation model (Eq. 4.53 & 4.54) AADTT 2 Data of the sections used are provided as electronical attachment Other sections can be found in LTPP database N/A Climate Pavement temperature model (Eq. 4.21) hourly solar radiation, hourly air temperature, hourly wind speed, Emissivity coefficient, Absorption coefficient, Albedo 1 Data of the sections used are provided as electronical attachment N/A Energy parameter for crack initiation time (Eq.4.53) HT & LT 1 Data of the sections used are provided as electronical attachment Other sections can be found in LTPP database N/A Material Dynamic modulus gradient (Eq. 4.1) n, k 1 Laboratory measurements of asphalt field cores Appendices A & B

M-2 Dynamic modulus master curves with time- temperature shift factors (Eq. 4.3 &4.4) gE , eE , ER , cE , 1C , 2C 1 Dynamic modulus master curves with time- temperature- aging shift factors (Eq. 4.5-4.8) xa , 0a , En , gxE , 0gE , ExR , 0ER , xa , 0a , Rn , A, 1 Dynamic modulus master curves with time- temperature- aging-depth shift factors (Eq. 4.9) db , da 1 Aging prediction models (Eq. 4.10-4.18) Eaf, Af, Eac, Ac 1 Laboratory measurements of dynamic modulus gradient of asphalt field cores at different aging periods Appendices A & B 3 N/A Appendix G Modified Paris’ law (Eq. 4.24) A’, n’ 1 Laboratory measurements by repeated load test Appendix D 2 Eq. F-2 and F-3 Appendix F 3 N/A Appendix F Relaxation modulus model (4.34) Aggregate gradation parameter (4.35) E1, m,  ,  1 Laboratory measurements by relaxation test Standard test

M-3 Relaxation modulus model (4.51) E1, m 2 Determined by the dynamic modulus master curve from LTPP Air void distribution (Eq. 4.45) a Obtained from LTPP mix design Performance Longitudinal crack length (Eq. 4.50)  ,  , ot Obtained from LTPP pavement performance

Next: APPENDIX N. LIST OF ALL VARIABLES »
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TRB's National Cooperative Highway Research Program (NCHRP) Web-Only Document 257: A Mechanistic–Empirical Model for Top–Down Cracking of Asphalt Pavements Layers develops a calibrated mechanistic-empirical (ME) model for predicting the load-related top-down cracking in the asphalt layer of flexible pavements. Recent studies have determined that some load-related fatigue cracks in asphalt pavement layers can be initiated at the pavement surface and propagate downward through the asphalt layer. However, this form of distress cannot entirely be explained by fatigue mechanisms used to explain cracking that initiates at the bottom of the pavement. This research explores top-down cracking to develop a calibrated, validated mechanistic-empirical model for incorporation into pavement design procedures.

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