Preparation for implementation of the mechanistic-empirical pavement design guide in Michigan, part 3 : local calibration and validation of the pavement-ME performance models.
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2014-11-01
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Abstract:The main objective of Part 3 was to locally calibrate and validate the mechanistic-empirical pavement ; design guide (Pavement-ME) performance models to Michigan conditions. The local calibration of the ; performance models in the Pavement-ME is a challenging task, especially due to data limitations. A total ; of 108 and 20 reconstruct flexible and rigid pavement candidate projects, respectively, were selected. ; Similarly, a total of 33 and 8 rehabilitated pavement projects for flexible and rigid pavements, respectively ; were selected for the local calibration. The selection process considered pavement type, age, ; geographical location, and number of condition data collection cycles. The selected set of pavement ; section met the following data requirements (a) adequate number of sections for each performance ; model, (b) a wide range of inputs related to traffic, climate, design and material characterization, (c) a ; reasonable extent and occurrence of observed condition data over time. The national calibrated ; performance models were evaluated by using the data for the selected pavement sections. The results ; showed that the global models in the Pavement-ME don’t adequately predict pavement performance for ; Michigan conditions. Therefore, local calibration of the models is essential. The local calibrations for all ; performance prediction models for flexible and rigid pavements were performed for multiple datasets ; (reconstruct, rehabilitation and a combination of both) and using robust statistical techniques (e.g. ; repeated split sampling and bootstrapping). The results of local calibration and validation of various ; models show that the locally calibrated model significantly improve the performance predictions for ; Michigan conditions. The local calibration coefficients for all performance models are documented in the ; report. The report also includes the recommendations on the most appropriate calibration coefficients for ; each of the performance models in Michigan along with the future guidelines and data needs.
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Main Document Checksum:urn:sha256:5d084f8ad9fd1590441e61b84d57f8525d4ceb31020f53ad41e2d9ab6d6ae943