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Systematic back-calculation protocol and prediction of resilient modulus for MEPDG
Authors:Kam Ng  Daniel Hellrung  Khaled Ksaibati  Shaun S Wulff
Affiliation:1. Department of Civil and Architectural Engineering, University of Wyoming, Laramie, WY, USAkng1@uwyo.edu;3. Muller Engineering Company, Inc., Lakewood, CO, USA;4. Department of Civil and Architectural Engineering, University of Wyoming, Laramie, WY, USA;5. Department of Statistics, University of Wyoming, Laramie, WY, USA
Abstract:A research focusing on the characterisation of representative local material properties was conducted to facilitate the full implementation of the Mechanistic-Empirical Pavement Design Guide for roadway designs in Wyoming. As part of the test program, falling weight deflectometer deflection data were collected from 25 test sites in Wyoming for back-calculation of subgrade resilient modulus. Also, subgrade materials from these test sites were sampled for laboratory resilient modulus measurement in accordance with the AASHTO T 307. The back-calculation is a user-dependent procedure and produces a non-unique resilient modulus estimation. To alleviate this limitation, this paper focuses on the recent development of a systematic back-calculation protocol for subgrade resilient modulus using MODCOMP6 software. The protocol is intended for use on a flexible pavement with a crushed base. The proposed procedure discusses pre-analysis checks, seed modulus adjustment, pavement structure adjustment and program termination criteria. A correlation study was conducted to correct back-calculated resilient modulus to laboratory-equivalent values. The results conclude that a non-zero intercept linear regression model provides a better correlation than the widely used zero intercept linear regression model. Furthermore, better correlations are achieved when the back-calculated resilient modulus of a lower subgrade layer and resilient modulus measured at higher laboratory test sequences Nos. 11 to 15 are considered. The non-zero model based on Mr test sequence No. 14 and lower subgrade layer yields the best correlation. For the zero model, a C-factor of 0.645 based on Mr test sequence No. 15 and lower subgrade layer yields the best correlation.
Keywords:Pavement  MEPDG  back-calculation  resilient modulus  falling weight  deflectometer
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