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% Reflective Crack Length
Figure 23. Reflection cracking amount data from test sections
in New York City.
is minimized. The process used to achieve the calibration, when the error between observed and predicted crack lengths
which determines and in the reflection cracking model, was minimized. Since the predicted crack length is calcu-
was conducted using available field reflection cracking data lated by the calibrated model at each test section, a solution
and an iterative method of the System Identification method was required to determine the parameters and
process (details of the calibration process are presented in in the model. In this study, the system identification process
Appendix L). was used.
The purpose of the system identification process is to develop
System Identification Process a mathematical model which describes the behavior of a sys-
tem (real physical process). The actual system and the mathe-
The reflection cracking amount and severity model at a matical model are identified when the error between them is
given severity level was considered to have been calibrated minimized or satisfies the error criteria; otherwise, the model
100
90
80
% Reflective Crack Length
70
60
50
40
30
20
10
0
0 200 400 600 800 1000 1200 1400 1600 1800 2000
Age, days
Control GlassGrid Pavetrack Hatelit
Petrogrid Pavedry Stargrid Add 1"HMA
HotinPlace PFC w/ LevelUp PFC w/ SealCoat
Figure 24. Low severity reflection cracking amount data in Amarillo,
Texas.
