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- All Subjects: Civil Engineering
- Genre: Doctoral Dissertation
- Resource Type: Text
Description
Laboratory assessment of crack resistance and propagation in asphalt concrete is a difficult task that challenges researchers and engineers. Several fracture mechanics based laboratory tests currently exist; however, these tests and subsequent analysis methods rely on elastic behavior assumptions and do not consider the time-dependent nature of asphalt concrete. The C* Line Integral test has shown promise to capture crack resistance and propagation within asphalt concrete. In addition, the fracture mechanics based C* parameter considers the time-dependent creep behavior of the materials. However, previous research was limited and lacked standardized test procedure and detailed data analysis methods were not fully presented. This dissertation describes the development and refinement of the C* Fracture Test (CFT) based on concepts of the C* line integral test. The CFT is a promising test to assess crack propagation and fracture resistance especially in modified mixtures. A detailed CFT test protocol was developed based on a laboratory study of different specimen sizes and test conditions. CFT numerical simulations agreed with laboratory results and indicated that the maximum horizontal tensile stress (Mode I) occurs at the crack tip but diminishes at longer crack lengths when shear stress (Mode II) becomes present. Using CFT test results and the principles of time-temperature superposition, a crack growth rate master curve was successfully developed to describe crack growth over a range of test temperatures. This master curve can be applied to pavement design and analysis to describe crack propagation as a function of traffic conditions and pavement temperatures. Several plant mixtures were subjected to the CFT and results showed differences in resistance to crack propagation, especially when comparing an asphalt rubber mixture to a conventional one. Results indicated that crack propagation is ideally captured within a given range of dynamic modulus values. Crack growth rates and C* prediction models were successfully developed for all unmodified mixtures in the CFT database. These models can be used to predict creep crack propagation and the C* parameter when laboratory testing is not feasible. Finally, a conceptual approach to incorporate crack growth rate and the C* parameter into pavement design and analysis was presented.
ContributorsStempihar, Jeffrey (Author) / Kaloush, Kamil (Thesis advisor) / Witczak, Matthew (Committee member) / Mamlouk, Michael (Committee member) / Arizona State University (Publisher)
Created2013
Description
Ministry of Transport (MOT) in the Kingdom of Saudi Arabia (KSA) is considering adopting the Mechanistic-Empirical Pavement Design method with its associated software the AASHTOWare Pavement ME Design (PMED) for its flexible pavements in the near future. The AASHTOWare PMED consists of distresses and international roughness index (IRI) prediction models that are nationally calibrated mainly using Long-Term Pavement Performance (LTPP) database in the United States. Implementing the AASHTOWare PMED in KSA requires two main tasks: 1. convert KSA data format to AASHTOWare PMED format, and 2. calibrate the distress and IRI models to KSA conditions. This study first prepared the KSA data to be accepted by AASHTOWare PMED and then calibrated the models to improve the pavement performance models predictions. After calibration, validation of these models was conducted to ensure accurate results with independent pavement sections. Goodness-of-fit statistics and null hypothesis test were used to assess each models’ prediction. Three flexible pavement models were successfully calibrated: asphalt concrete (AC) permanent deformation, top-down cracking, and IRI models. The results showed that the distress and IRI models with national (default) calibration are biased in predicating KSA pavements performance which required recalibration. Calibrating AC rutting, top-down cracking, and IRI models improved the prediction of KSA pavement performance. Most of the data used in this study were obtained from MOT. The AASHTOWare Pavement ME software (version 2.6.0) was used to complete the study.
ContributorsAlbuaymi, Mohammed Ibrahim (Author) / Kaloush, Kamil (Thesis advisor) / Mamlouk, Michael (Committee member) / Stempihar, Jeffrey (Committee member) / Arizona State University (Publisher)
Created2021