Preparation for Implementation of the Mechanistic-empirical Pavement Design Guide in Michigan PDF Download
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Author: Syed Waqar Haider
Publisher:
ISBN:
Category : Asphalt emulsion mixtures
Languages : en
Pages :
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Book Description
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.
Author: Syed Waqar Haider
Publisher:
ISBN:
Category : Asphalt emulsion mixtures
Languages : en
Pages :
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Book Description
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.
Author: Neeraj J. Buch
Publisher:
ISBN:
Category : Asphalt emulsion mixtures
Languages : en
Pages :
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Book Description
The main objectives of Task 2 of the project were to determine the impact of various input variables on the predicted pavement performance for the selected rehabilitation design alternatives in the MEPDG/DARWin-ME, and to verify the pavement performance models for MDOT rehabilitation design practice. In general, for HMA over HMA, the overlay thickness and HMA volumetrics are the most significant inputs for the overlay layer while the existing thickness and pavement condition rating have a significant effect on pavement performance among the inputs related to the existing pavement. For composite pavements, overlay thickness and HMA air voids are significant inputs for the overlay layer. In addition, among the inputs related to the existing intact PCC pavement, the existing thickness and PCC layer modulus have a significant effect on pavement performance. For rubblized pavements, the HMA air voids and effective binder content are the most significant inputs for the overlay layer. Furthermore, for longitudinal cracking and IRI, existing PCC thickness is more important as compared to the existing PCC layer modulus. However, existing PCC layer modulus is more significant for alligator cracking and rutting. For unbonded overlays, all overlay related inputs significantly impact the cracking performance while the PCC elastic modulus is the most important among inputs related to existing layers. The interaction between overlay air voids and existing pavement thickness significantly impacts all performance measures among HMA rehabilitation options. The interaction between overlay thickness and existing PCC layer modulus is the most significant effect on unbonded overlay performance. It should be noted that all analyses were conducted using the inputs ranges reflecting Michigan practices. The verification of the performance prediction models based on the selected projects for different rehabilitation options show the need for local calibration.
Author: M. Emin Kutay
Publisher:
ISBN:
Category : Asphalt emulsion mixtures
Languages : en
Pages : 120
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Book Description
This is the final report of the Part 1 (HMA Mixture Characterization) of the "Preparation for Implementation of the Mechanistic-Empirical Pavement Design Guide in Michigan" project. The main objectives of the Part 1 were (i) to conduct a literature search to determine the existing and past research on HMA mixture characterization for M-E PDG, (ii) review MDOT's HMA testing program, and (iii) laboratory testing of samples collected. Scope of the literature review included the past and on-going research on HMA characterization as a preparation for the M-E PDG (or DARWin-ME) as well as predictive models for some of the key inputs such as the Complex (Dynamic) Modulus (/E*/) mastercurve. Several regression-based /E*/ models were evaluated and calibrated for local asphalt mixtures in Michigan. In addition, an Artificial Neural Network (ANN) model has been developed for better prediction of /E*/ from asphalt volumetrics. The research team reviewed the current HMA test data available as part of the MDOT testing program and compared it with the test data required by the M-E PDG. In addition, an extensive laboratory testing program was conducted to characterize asphalt mixtures commonly used in Michigan for the Complex (Dynamic) Modulus /E*/, Complex Shear Modulus (/G*/) of binders and Indirect Tension Strength (IDT) at low temperatures. A standalone software, called DYNAMOD, was developed to serve as a database for all the material testing performed in this project. The DYNAMOD will allow engineers to easily reach the material testing data and generate input files that can directly be imported by the M-E PDG (or DARWin-ME).
Author: Y. Richard Kim
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 690
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Book Description
Author: Paulo Pereira
Publisher: Springer Nature
ISBN: 3031635884
Category :
Languages : en
Pages : 643
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Book Description
Author: Christiane Raab
Publisher: Springer Nature
ISBN: 3030486796
Category : Technology & Engineering
Languages : en
Pages : 955
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Book Description
This book gathers the proceedings of an international conference held at Empa (Swiss Federal Laboratories for materials Science and Technology) in Dübendorf, Switzerland, in July 2020. The conference series was established by the International Society of Maintenance and Rehabilitation of Transport Infrastructure (iSMARTi) for promoting and discussing state-of-the-art design, maintenance, rehabilitation and management of pavements. The inaugural conference was held at Mackenzie Presbyterian University in Sao Paulo, Brazil, in 2000. The series has steadily grown over the past 20 years, with installments hosted in various countries all over the world. The respective contributions share the latest insights from research and practice in the maintenance and rehabilitation of pavements, and discuss advanced materials, technologies and solutions for achieving an even more sustainable and environmentally friendly infrastructure.
Author: Iliya Yut
Publisher:
ISBN:
Category : Pavements, Asphalt
Languages : en
Pages : 126
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Book Description
Author: Iliya Yut
Publisher:
ISBN:
Category : Pavements, Asphalt
Languages : en
Pages : 133
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Book Description
Author: American Association of State Highway and Transportation Officials
Publisher: AASHTO
ISBN: 156051423X
Category : Pavements
Languages : en
Pages : 218
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Book Description
Author: Todd E. Hoerner
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 324
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Book Description
As AASH is expected to eventually adopt the MEPDG at its primary pavement design method, it is critical that the SDDOT become familiar with the MEPGD documentation and associated design software. The research conducted under this project was a first step toward achieving this goal.
