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4.4 Case 2: Thick Asphalt on Cemented Subbase Pavement.4.3.3 Back-calculation Input Parameters.4.3.2 Deflection Data and Composite Modulus.
#Pavement backcalculation modulus software#
Though many software packages are available for this process, the results have been found to be very sensitive to program features and operator skills and level of experience. 4.3 Case 1: Asphalt Surfaced Granular Pavement Backcalculation is one of the most widely used processes for analyzing falling weight deflectometer (FWD) data to estimate pavement layer moduli.4.2.3 Back-calculation Termination Parameters.3.4.2 Granular Layers Multilayering Algorithm.3.4.1 Constraining Subgrade Modulus with Depth.3.4 Models for Subgrade and Granular Layers.Pavement and Subgrade Modulus Back‑calculation To study semi-rigid base asphalt pavement response characteristics, two structural APT test roads of cement stabilized aggregate and lime fly-ash stabilized. 2.5 Conclusions Related to Using TSD Deflections in Treatment Design.2.4 Use of TSD Deflection Bowl for Mechanistic Empirical Treatment Design.2.3.2 TSD Deflection Standardised Factor.2.3.1 Simplified Model for Sprayed Seal Surfaced Granular Pavements.2.3 Use of TSD Data to Design Granular Overlays.2.2 Data and Regression Analysis Method.2.1.3 Previous TSD vs FWD Deflection Relationships.Feasibility of Using TSD Data for the Structural Design of Pavement Treatments The benefits of the optional features were also demonstrated. The proposed algorithm was tested using deflection data from case studies. The project further developed the algorithm by adding optional features for the subgrade layer moduli and the sublayering process for granular layers. The algorithm suitable for the determination of pavement layer moduli from pavement surface deflection is detailed and described in the report based on previously used back-calculation methods. However, the regression parameters obtained for maximum deflections formed the basis of a deflection standardisation factor for the TSD proposed for the empirical design method of granular overlay. The regression analysis did not allow the development of a process to predict deflection bowls equivalent to FWD measured bowls from TSD measured data. Using two databases of paired falling weight deflectometer (FWD) and TSD, a regression analysis of the deflection bowls allowed the determination of a robust relationship between maximum deflections measured by the two devices.
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The second component included formalising the pavement layer moduli back-calculation algorithm for use in mechanistic‑empirical pavement treatment design. The first was to assess the potential use of traffic speed deflectometer (TSD) deflection for the design of pavement structural treatments. The project focused on two main components. accuracy of the backcalculated moduli is dependent on the backcalculation. New methods of using pavement deflection data were developed in the context of pavement structural rehabilitation treatment design. turn are used to backcalculate the elastic moduli of the pavement layers.