Enhancing Network-Level Decision Making through the use of a Structural Capacity Index
James M. Bryce, Gerardo W. Flintsch, Samer Wehbe Katicha, Brian K. Diefenderfer
Abstract
James M. Bryce, Gerardo W. Flintsch, Samer Wehbe Katicha, Brian K. Diefenderfer
Abstract
The objective of this study was to show potential applications of a network-level structural index developed for evaluation of flexible pavements. First, several potential applications for implementation of network-level structural measures were identified, and then data from the state of Virginia were used to modify the proposed applications for the index and show examples of them. Several applications were validated with data from network-level deflection testing with the falling weight deflectometer on Interstate highways in Virginia and data from the Virginia Department of Transportation Pavement Management System. The results of the research indicate that including the structural index in the network-level decision process can facilitate a greater understanding of the behavior of the performance of a pavement. Furthermore, the index that was proposed for network-level evaluation of flexible pavements in Virginia was used to develop enhanced deterioration models for particular pavement treatments and to demonstrate the dependence of pavement performance on its structural capacity. It was shown that the functional characteristics of a pavement alone were not adequate to describe the structural condition of the pavement. Therefore, the structural condition, for example, as based on the results of deflection testing, should be considered when network-level pavement management decisions are made.
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The objective of this study was to show potential applications of a network-level structural index developed for evaluation of flexible pavements. First, several potential applications for implementation of network-level structural measures were identified, and then data from the state of Virginia were used to modify the proposed applications for the index and show examples of them. Several applications were validated with data from network-level deflection testing with the falling weight deflectometer on Interstate highways in Virginia and data from the Virginia Department of Transportation Pavement Management System. The results of the research indicate that including the structural index in the network-level decision process can facilitate a greater understanding of the behavior of the performance of a pavement. Furthermore, the index that was proposed for network-level evaluation of flexible pavements in Virginia was used to develop enhanced deterioration models for particular pavement treatments and to demonstrate the dependence of pavement performance on its structural capacity. It was shown that the functional characteristics of a pavement alone were not adequate to describe the structural condition of the pavement. Therefore, the structural condition, for example, as based on the results of deflection testing, should be considered when network-level pavement management decisions are made.
Key concepts: Pavement management, Falling weight deflectometer, Deflection (physics), Transport engineering, Pavement engineering, State highway, Engineering, Network structure