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NCHRP Report 669: Models for Predicting Reflection Cracking of Hot-Mix Asphalt Overlays (2010)
National Cooperative Highway Research Program (NCHRP)

Citation Manager

Zhou, Fujie, Lytton, Robert L, Hu, Sheng, Luo, Rong, Tsai, Fang-Ling, Lee, Sang Ick, Transportation Research Board. "The Bottom Boundary Condition." NCHRP Report 669: Models for Predicting Reflection Cracking of Hot-Mix Asphalt Overlays. Washington, DC: The National Academies Press, 2010.

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34
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34
Front Matter (R1-R11)
Organization of the Report (1-1)
Material Properties (2-2)
Calibration to Field Data (3-3)
Use in Design (4-4)
Available Reflection Cracking Models (5-5)
Selection of a Reflection Cracking Model (6-6)
Process of Constructing a Calibrated Reflection Cracking Model (7-7)
Collection of Pavement Structure Data (8-9)
Traffic Data Collection (10-10)
Axle Load Distribution Factor (11-12)
Categorizing Traffic Load (13-13)
Finite Element Method for Calculating SIF (14-16)
Method of Predicting SIF (17-18)
Modeling of Cumulative Axle Load Distribution (19-19)
Probability Density on Tire Patch Length (20-25)
Reflection Cracking Amount and Severity Model (26-26)
Calibration of Field Reflection Cracking Model (27-27)
System Identification Process (28-28)
Parameter Adjustment and Adaption Algorithm (29-29)
Calibrating Reflection Cracking Model of Test Sections (30-32)
Heat Transfer in Pavement (33-33)
The Bottom Boundary Condition (34-34)
Stiffness, Tensile Strength, Compliance, and Fracture Properties of Mixtures (35-35)
Artificial Neural Network Algorithms for Witczak's Complex Modulus Models (36-37)
Models of Paris and Erdogan's Law Fracture Coefficients A and n (38-38)
Computational Method for Crack Growth Due to Traffic (39-40)
Computational Method for Viscoelastic Thermal Stresses (41-41)
Computation-to-Field Calibration Coefficients (42-43)
Validation of the Calibration Coefficients (44-47)
Mechanistic Prediction of Crack Growth (48-48)
Calibration of Calculated Overlay Life to the Observed Distress (49-49)
Predictions of Overlay Reflection Cracking (50-54)
Calibration of the Computational Model to Field Data (55-55)
Suggested Research (56-57)
References (58-59)
Appendices (60-60)
Abbreviations used without definitions in TRB publications (61-61)

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34 = the thermal diffusivity; The convective heat flux (in W m-2) is calculated as: = k/C where k is the thermal conductivity; = the density; and Qc = hc (Ts - Ta ) (18) C = the pavement heat capacity. where hc is the heat transfer coefficient from the empirical Together with this equation, a flux boundary condition at the equation (33). pavement surface and a second flux condition at 3 m below the surface are considered. T +T 0.3 0.00144 abs s a U d hc = 698.24 a i i 2 (19) + 0.00097 ( abs (Ts + Ta )) 0.3 The Surface Boundary Condition Considering a differential element of the pavement surface, where U is the hourly wind speed (i m s-1) and a and d are its thermal energy (temperature) will change to the extent two-dimensionless empirical parameters. that the fluxes from above and from below do not balance. The The heat flux within the pavement at the surface is various fluxes shown in Figure 31 lead to the following sur- expressed by Fourier's equation: face condition: Ts Qf = k (20) x Ts x C = Qs - i Qs + Qa - Qr - Qc - Q f (15) 2 t where Ts is pavement surface temperature, and k is thermal where conductivity of asphalt concrete (in W m-1 k-1). Combining these results, the following equation serves as C = volumetric heat capacity of the pavement; the surface boundary condition: T5 = pavement surface temperature; x = the depth below the pavement surface; x Ts C = Qs - i Qs + a T a 4 - T 4 x 2 t s = the (differential) pavement thickness for the energy T 2 balance; - hc (Ts - Ta ) + k s (21) Qs = heat flux due to solar radiation; x ~ = albedo of pavement surface, the fraction of reflected solar radiation; The Bottom Boundary Condition Qa = down-welling long-wave radiation heat flux from the atmosphere; Commonly, a constant-temperature boundary condition Qr = outgoing long-wave radiation heat flux from the at some distance below the surface is reported. For example, pavement surface; Hermansson (19) used the annual mean temperature 5 m Qc = the convective heat flux between the surface and the below the surface as a bottom boundary condition and Gui air; and (20) used a measured temperature of 33.5°C at a depth of Qf = the heat flux within the pavement at the pavement 3 m as the boundary condition. In the EICM model, temper- surface. atures were measured from water wells across the country at a depth of 10 to 18 m, from which an isothermal map was The incoming and outgoing long-wave radiation (in W m-2) constructed. Such a constant-temperature boundary condi- are calculated by: tion has the advantage of simplicity. In this project, a different approach was used. Measured data Qa = a T a 4 (16) in the LTPP database showed that temperatures at a depth beyond 2 m tend to vary approximately linearly with depth. Qr = T s4 (17) Therefore, a flux boundary condition was used at a depth of 3 m. That is where T a = absorption coefficient of pavement; 3m = independent of depth (22) x = emission coefficient of pavement; Ts = pavement surface temperature, k; This boundary condition is independent of location and Ta = air temperature, k; and does not require a specific value. In addition, it is easy to = 5.68 × 10-8W m-2K-4 is Stefan-Boltzman constant implement this boundary condition in the finite difference