Estimating the Sensitivity of Design Input Variables for Rigid Pavement Analysis with a Mechanistic-Empirical Design Guide (05-0948)
Kevin D. Hall, University of Arkansas, Fayetteville
Steven R Beam, Crafton Tull Sparks

Many highway agencies use AASHTO methods for the design of pavement structures. Current AASHTO methods are based on empirical relationships between traffic loading, materials, and pavement performance developed from the AASHO Road Test (958-1961). The applicability of these methods to modern-day conditions has been questioned; in addition, the lack of realistic inputs regarding environmental and other factors in pavement design has caused concern. Research sponsored by the National Cooperative Highway Research Program has resulted in the development of a mechanistic-empirical design guide (M-E Design Guide) for pavement structural analysis. The new M-E Design Guide requires over 100 inputs to model traffic, environmental, materials, and pavement performance to provide estimates of pavement distress over the design life of the pavement. Many designers may lack specific knowledge of the data required. A study was performed to assess the relative sensitivity of the models used in the M-E Design Guide to inputs relating to Portland cement concrete (PCC) materials in the analysis of jointed plain concrete pavements (JPCP). A total of 29 inputs were evaluated by analyzing a standard pavement section and changing the value of each input individually. The three pavement distress models (cracking, faulting, and roughness) were not sensitive to 17 of the 29 inputs. All three models were sensitive to 6 of 29 inputs. Combinations of only one or two of the distress models were sensitive to 6 of 29 inputs. This data may aid designers in focusing on those inputs having the most effect on desired pavement performance.