Abstract
Pavement condition assessment at network level requires structural evaluation that can be achieved using Falling Weight Deflectometer (FWD). Upon analysing FWD data, appropriate maintenance and repair methods (preservation, rehabilitation or reconstruction) could be assigned to various pavement sections. In this study, Structural Condition Index (SCI), defined as the ratio of Effective Structural Number (SNeff) to Required Structural Number (SNreq), was used to determine if a pavement requires preservation or rehabilitation works (i.e. preservation SCI > 1, rehabilitation SCI < 1). In addition to FWD deflection data, SCI calculation requires pavement layer thicknesses that is obtained using GPR with elaborated and time consuming works. In order to reduce field data collection and analysis time at network-level pavement management, SCI values were calculated without having knowledge of pavement layer thicknesses. Two regression models were developed based on several thousand FWD deflection data to calculate SNeff of pavements and resilient modulus (MR) of their subgrades. Subgrades MR values together with traffic data were then used to calculate SNreq. Statistical analysis of deflection data indicated that Area under Pavement Profile (AUPP) and the deflection at distance of 60 cm from load center (D60) parameters showed to have strong correlation with SNeff and MR respectively. The determination coefficients of the two developed models were greater than those of previous models reported in the literature. The significant result of this study was to calculate SNeff and MR using the same deflection data. Finally, implementation of the developed method was described in determining appropriate Maintenance and Repair (M&R) method at network level pavement management system.
Highlights
Pavement Management System (PMS) is implemented at network and project levels
Determining SNreq according to AASHTO (1993) design guide, requires determination of MR of subgrade based on Falling Weight Deflectometer (FWD) deflection data
A correlation analysis was conducted with the aim of understanding relationship between Deflection Basin Parameters (DBP) and SNeff obtained from AASHTO (1993) method
Summary
Pavement Management System (PMS) is implemented at network and project levels. At network level management, detailed data with high accuracies are not required. Based on AASHTO pavement design method, both SNeff and SNreq require deflection data and total thickness of pavement, which must be determined in the field (AASHTO 1993). Analysis of deflection data needs knowledge of layer thicknesses that is measured either using nondestructive equipment such as Ground Penetrating Radar (GPR) or destructive methods such as core drilling and pit boring of pavements Both approaches are time consuming and require sophisticated works. Kavussi et al A new method to determine maintenance and repair activities at network-level pavement management These included 2453 FWD (Dynatest) deflection basins and corresponding thicknesses using GPR. Subgrade MR and pavement SNeff values were determined according to AASHTO (1993) design method These two parameters were considered as dependent variables and DBPs were assumed as independent variables in the statistical analysis. Current SNeff and MR models were reviewed and their correlation with AASHTO (1993) results were calculated
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