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Performance modeling of asphalt concrete pavements is one of the most difficult, but important tasks facing pavement engineers. Experiences at North Carolina State University suggest that this task is best accomplished by utilizing two separate models; one to account for the material behavior and another to account for boundary conditions, such as tire-pavement interaction, temperature gradient along the layer thickness, pavement structural design, etc. The material characterization model should focus on the material irrespective of geometry, i.e., fundamental properties. The structural model should be robust enough to account for the range of conditions experienced by pavements in service. Two peer-reviewed and published papers are presented here which deal with the development of a constitutive material model for asphalt concrete. In the first, the viscoelastoplastic continuum damage model in tension is applied to materials from the Federal Highway Administration's Accelerated Load Facility study on modified mixture performance. It is shown that the material model is capable of describing the behavior of the tested mixtures over a range of conditions from primarily viscoelastic to primarily viscoplastic. Further, the model shows sensitivity to changes in asphalt binder and the ability to predict the behavior of asphalt concrete mixtures containing polymer modified binder. The second paper presents results from an experimental study of anisotropy in asphalt concrete. Anisotropy occurs due to the preferential orientation of aggregate particles in the mixture and is found to have varying levels of significance depending on both the mode of loading and the levels of deformation applied. In the linear viscoelastic range, anisotropy is found to have little effect on the material behavior, whereas under monotonic compressive loading until failure, it is found to contribute significantly. Further, it is found that temperature and rate affect the significance of anisotropy.
The design and construction of “long and deep” tunnels, i.e. tunnels under mountains, characterised by either considerable length and/or overburden, represent a considerable challenge. The scope of this book is not to instruct how to design and construct such tunnels but to share a method to identify the potential hazards related to the process of designing and constructing long and deep tunnels, to produce a relevant comprehensive analysis and listing, to quantify the probability and consequences, and to design proper mitigation measures and countermeasures. The design, developed using probabilistic methods, is verified during execution by means of the so called Plan for Advance of the Tunnel (PAT) method, which allows adapting the design and control parameters of the future stretches of the tunnel to the results of the stretches already finished, using the monitoring data base. Numerous criteria are given to identify the key parameters, necessary for the PAT procedure. Best practices of excavation management with the help of real time monitoring and control are also provided. Furthermore cost and time evaluation systems are analysed. Finally, contractual aspects related to construction by contract are investigated, for best development and application of models more appropriate for tunnelling-construction contracts. The work will be of interest to practising engineers, designers, consultants and students in mining, underground, tunnelling, transportation and construction engineering, as well as to foundation and geological engineers, urban planners/developers and architects.
The objective of the research presented is to develop an accurate and advanced material characterization procedure to be incorporated in the Superpave performance models system. The procedure includes the theoretical models and its supporting experimental testing protocols necessary for predicting responses of asphalt mixtures subjected to tension loading. The model encompasses the elastic, viscoelastic, plastic and viscoplastic components of asphalt concrete behavior. Addressed are the major factors affecting asphalt concrete response such as: rate of loading, temperature, stress state in addition to damage and healing. Modeling strategy is based on modeling strain components separately and then adding the resulting models to attain a final integrated ViscoElastoPlastic model. Viscoelastic response, including elastic component, is modeled based on Schapery's continuum damage theory comprising of an elastic-viscoelastic correspondence principle and work potential theory. As for the viscoplastic response, which includes the plastic component, its characterization stems from Uzan's strain hardening model. The testing program required for developing the models consists of complex modulus testing for determination of material response functions, constant crosshead rate testing at low temperatures for viscoelastic modeling, and repetitive creep and recovery testing for viscoplastic modeling. The developed model is successful in predicting responses up to localization when microcracks start to coalesce. After that, fracture process zone strains detected using Digital Image Correlation are used to extend the model's ability in predicting responses in the post-localization stage. However, once major macrocracks develop, the currently developed model ceases to accurately predict responses. At that state, the theory of fracture mechanics needs to be integrated with the current continuum damage-based model.
Premature cracking in asphalt pavements and overlays continues to shorten pavement lifecycles and creates significant economic and environmental burden. In response, RILEM Technical Committee TC 241-MCD on Mechanisms of Cracking and Debonding in Asphalt and Composite Pavements has conducted a State-of-the-Art Review (STAR), as detailed in this comprehensive book. Cutting-edge research performed by RILEM members and their international partners is presented, along with summaries of open research questions and recommendations for future research. This book is organized according to the theme areas of TC 241-MCD - i.e., fracture in the asphalt bulk material, interface debonding behaviour, and advanced measurement systems. This STAR is expected to serve as a long term reference for researchers and practitioners, as it contributes to a deeper fundamental understanding of the mechanisms behind cracking and debonding in asphalt concrete and composite pavement systems.
The objective of this research is to develop an accurate and advanced material characterization model for predicting response of asphalt mixtures subjected to compression loading. The first step of the modeling is to check the validity of the time-temperature superposition principle for asphalt concrete with growing damage and viscoplastic strain in the compression state. Constant crosshead rate compression test results are used to construct the stress-log reduced time master curves for various strain levels. Research results indicate that asphalt concrete with growing damage remains thermorheologically simple (TRS), and that the time-temperature shift factor is only a function of temperature and is independent of the strain level. The model encompasses the elastic, plastic, viscoelastic, and viscoplastic strain components of asphalt concrete behavior and the effects of test conditions such as temperature and loading rate on the major strain components. The modeling approach is to model each response component separately and then integrate the submodels to obtain the final viscoelastoplastic model. The viscoelastic component, including elastic strain, is modeled based on Schapery's continuum damage theory and work potential theory, whereas Uzan's strain hardening model forms the basis of the viscoplastic model that also includes the plastic strain component. The testing program required for calibrating the viscoelastoplastic model is composed of small-strain complex modulus testing at various temperatures and frequencies to determine linear viscoelastic properties, constant crosshead rate testing at low temperatures/fast loading rates for viscoelastic modeling, and repeated creep and recovery testing at high temperatures for viscoplastic modeling. The developed viscoelastoplastic model performs well in predicting material responses up to peak stress.
Advances in Materials and Pavement Performance Prediction contains the papers presented at the International Conference on Advances in Materials and Pavement Performance Prediction (AM3P, Doha, Qatar, 16- 18 April 2018). There has been an increasing emphasis internationally in the design and construction of sustainable pavement systems. Advances in Materials and Pavement Prediction reflects this development highlighting various approaches to predict pavement performance. The contributions discuss links and interactions between material characterization methods, empirical predictions, mechanistic modeling, and statistically-sound calibration and validation methods. There is also emphasis on comparisons between modeling results and observed performance. The topics of the book include (but are not limited to): • Experimental laboratory material characterization • Field measurements and in situ material characterization • Constitutive modeling and simulation • Innovative pavement materials and interface systems • Non-destructive measurement techniques • Surface characterization, tire-surface interaction, pavement noise • Pavement rehabilitation • Case studies Advances in Materials and Pavement Performance Prediction will be of interest to academics and engineers involved in pavement engineering.
The proliferation of technological capability, miniaturization, and demand for aerial intelligence is pushing unmanned aerial systems (UAS) into the realm of a multi-billion dollar industry. This book surveys the UAS landscape from history to future applications. It discusses commercial applications, integration into the national airspace system (NAS), System function, operational procedures, safety concerns, and a host of other relevant topics. The book is dynamic and well-illustrated with separate sections for terminology and web- based resources for further information.