Sensitivity Analysis of CRCP Computer Programs

Details

• Creators:
  Nam, Jeong-Hee ; Kim, Seong-Min ; McCullough, B. Frank ; Dossey, Terry
• Corporate Creators:
  University of Texas at Austin. Center for Transportation Research
• Corporate Contributors:
  Texas Department of Transportation. Research and Technology Implementation Office ; United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  Analysis Computer Programs Continuously Reinforced Concrete Pavements Mechanistic Design Pavements Sensitivity Temperature
• Publication/ Report Number:
  FHWA/TX-03/1700-4
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States ; Texas
• Edition:
  (9/01-8/02)
• Corporate Publisher:
  University of Texas at Austin. Center for Transportation Research
• Abstract:
  The sensitivity of the design variables to the behavior of continuously reinforced concrete pavement (CRCP) has been investigated using mechanistic models of CRCP. The objective of the sensitivity study was to understand how much each variable affects the CRCP behavior, and to determine the relative importance of each variable, and to compare the results from CRCP-8 and CRCP-10. The practical ranges of the design variables have been selected, and the typical values of the variables have been determined. In the sensitivity analysis, one variable is selected and changes within the practical range while the other variables remain at their typical values, and the analysis results such as mean crack spacing, crack width, and steel stress at crack are obtained. From this study, the relationships between the design variables and the CRCP behavior have been obtained. It has been found that the zero-stress temperature and the coefficient of thermal expansion of concrete are the most sensitive design variables, and the steel bar diameter and the vertical stiffness of underlying layers are the least sensitive variables. The other variables can be defined as moderately sensitive variables. Since engineers have only limited resources and time to use in estimating a large number of design variables, the findings described in this report can be applied to aid in solving real problems more efficiently.
• Format:
  PDF
• Funding:
  0-1700
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:0128e886b21ecbdbf09824faad18692cf343bdd3d659d01ec3f2dc8a8dd70caeebbaaac655a530f29b84fab43182930a34fc49c59548fd38c3d22fb09fa0d94a
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/86374/dot_86374_DS1.pdf
• File Type:
  [PDF - 762.50 KB ]