Sensitivity Evaluation and Optimization of Calibration Coefficients of AASHTOWare Pavement ME Design Jointed Plain Concrete Pavement Faulting Models

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2016
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Kaya, Orhan
Kim, Sunghwan
Gopalakrishnan, Kasthurirangan
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International Society for Concrete Pavements
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Ceylan, Halil
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Civil, Construction and Environmental Engineering

The Department of Civil, Construction, and Environmental Engineering seeks to apply knowledge of the laws, forces, and materials of nature to the construction, planning, design, and maintenance of public and private facilities. The Civil Engineering option focuses on transportation systems, bridges, roads, water systems and dams, pollution control, etc. The Construction Engineering option focuses on construction project engineering, design, management, etc.

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The Department of Civil Engineering was founded in 1889. In 1987 it changed its name to the Department of Civil and Construction Engineering. In 2003 it changed its name to the Department of Civil, Construction and Environmental Engineering.

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1889-present

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  • Department of Civil Engineering (1889-1987)
  • Department of Civil and Construction Engineering (1987-2003)
  • Department of Civil, Construction and Environmental Engineering (2003–present)

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Abstract
The AASHTOWare Pavement ME Design software uses faulting predictions as one of the performance measures for Jointed Plain Concrete Pavement (JPCP) structural designs. Faulting prediction is calculated as the sum of incremental change (monthly) in mean transverse joint faulting during each month in design service life. The faulting prediction computation requires eight input variables along with eight calibration coefficients (C1 to Cs). It is obvious that these input variables and calibration coefficients are needed to calibrate JPCP faulting model. However, in the computation of the incremental change in mean transverse joint faulting, three interdependent equations are used, which makes this computation long and complicated. This study evaluates the sensitivity of calibration coefficients associated with the JPCP faulting model for optimization of calibration coefficients under local conditions and presents discussions on the feasibility of developing of a simplified faulting prediction equation having comparable accuracy to AASHTOW are Pavement ME Design faulting prediction equation.
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This proceeding is published as Kaya, O., Ceylan, H., Kim, S., and Gopalakrishnan, K. (2016). “Sensitivity Evaluation and Optimization of Calibration Coefficients of AASHTOW are Pavement ME Design Jointed Plain Concrete Pavement Faulting Models,” the 11th International Conference on Concrete Pavements (ICCP11), San Antonio, Texas, August 28-September 1, 2016, pp. 482-491. Copyright 2016 International Society for Concrete Pavements. Posted with permission.
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