Abstracts – Browse Results
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Abbasian Hosseini, S A (2015) Social and engineering aspects of construction site management using simulation and social network analysis, Unpublished PhD Thesis, , North Carolina State University.
Abudayyeh, O Y (1991) An automated data acquisition and data storage model for improving cost and schedule control, Unpublished PhD Thesis, , North Carolina State University.
Al-Ibrahim, A (2006) Optimizing roof maintenance and replacement decisions, Unpublished PhD Thesis, , North Carolina State University.
Alsharef, A F A (2022) Leveraging data analytics to improve construction operations and occupational safety, Unpublished PhD Thesis, , North Carolina State University.
Arocho Rosa, I d M (2015) The impact of transportation construction projects and activities on emissions, Unpublished PhD Thesis, , North Carolina State University.
Attia, T M (2002) The impact of communication technologies on group problem-solving performance in construction, Unpublished PhD Thesis, , North Carolina State University.
Bai, Y (1996) Planning and control model for robotic bridge painting, Unpublished PhD Thesis, , North Carolina State University.
Banerjee, S (2022) Developing an organization-wide knowledge repository with intelligent knowledge transference to enhance construction project outcomes, Unpublished PhD Thesis, , North Carolina State University.
Becker, T C (2012) Improving the predictability of construction project outcomes through project level indirect construction cost practices, Unpublished PhD Thesis, , North Carolina State University.
Chmielewski, H T (2023) Overcoming modeling barriers in long-term interdependent infrastructure systems planning, Unpublished PhD Thesis, , North Carolina State University.
Choi, B (2003) Topics in risk-based design and performance evaluation of structures, Unpublished PhD Thesis, , North Carolina State University.
Dorr, E E (1979) Economies of scale in high school construction and operation, Unpublished PhD Thesis, , North Carolina State University.
Hollar, D A (2011) Predicting preliminary engineering costs for highway projects, Unpublished PhD Thesis, , North Carolina State University.
Isied, M M (2023) Critical assessment of asphalt mixture design procedures and asphalt mixture classification systems, Unpublished PhD Thesis, , North Carolina State University.
- Type: Thesis
- Keywords: highway; artificial neural network; fatigue; neural network; case study; measurement; pavement; specification
- ISBN/ISSN:
- URL: https://www.proquest.com/docview/2901811209
- Abstract:
State highway agencies (SHAs) and the asphalt industry are continually implementing new technologies, test methods, and specifications to improve asphalt mixtures and pavement performance. However, evaluating the effect of those new technologies is not an easy task. The link between mix design and pavement performance is not clear when it comes to asphalt pavements. Furthermore, a few SHAs have begun the process of implementing a cracking test and a rutting test into the mixture design process for what is termed a “balanced mix design” (BMD) approach. While there are four potential approaches, according to AASHTO PP 105 for implementing a BMD procedure, most states follow Approach A in which each mix design must meet both the volumetric requirements plus the performance test criteria. In addition, specimen preparation and testing time have limited the frequency of testing used for the purpose of BMD or acceptance testing.In consequence, this dissertation evaluated the most common adjustments made by SHAs (NCDOT in particular) to their Superpave volumetric mix design procedures, and verified the effectiveness of these adjustments through historical data. In addition, this research supported the ongoing efforts to reintegrate the mechanical tests as part of the mix design by generating performance prediction models for mixture characteristics that can be used in mechanistic-based pavement performance prediction models and highlighted the issues and challenges resulting from relying on only mixtures volumetrics.SHAs (NCDOT) mix design data from the HiCAMS database (North Carolina Department of Transportation mixtures database) as well as actual measured mixture performance data over the past years from the NCSU mixture database, were harvested and analyzed. The job mix formulas (JMFs) from the HiCAMS database were compiled and compared over a span of 20 years, focusing on changes implemented over the years and their effects on volumetrics. The analysis presented in this dissertation investigated how these changes have affected asphalt mixture designs with respect to composition and performance. The extracted job mix formulas were compared based on their volumetric and constituent composition. In addition, the effect of Ndesign on asphalt content and VMA as well as the sensitivity of calculated VMA values to the variability in Gsb measurements, was evaluated. The performance characteristics of mixtures with the same classifications were compared, focusing on showing the challenges when trying to relate the volumetric properties of asphalt mixtures with performance indicators. A compelling case that volumetrics-only mix design has limitations and a case study showing how the mixtures reported volumetric properties can be deceiving were presented and discussed. Different levels of mixture design and performance characteristics prediction models were developed utilizing Artificial Neural Network (ANN) modeling techniques. Mainly, three different ANN prediction models were developed and presented. The first model was a mathematical-based ANN model that has the ability to leverage state DOT mix design data to predict the Superpave optimum binder content for given mix properties. A detailed framework for the model development was presented as well. The second was a new ANN based prediction model for dynamic modulus |E*| from the basic mix design information that included the recycled binder content. The third was a series of ANN frameworks and models for predicting the cyclic fatigue test analysis results, specifically D R , Sapp C11, and C12. The findings presented in this dissertation suggest that SHAs should consider restructuring their mixture classification system to be based on mixture performance rather than on volumetric design and demonstrate the need for mechanical mixture evaluation. In addition, this dissertation demonstrated the potential use of the ANN models for aiding and simplifying the material evaluation process while highlighting and assessing the challenges related to their use.
Javanmardi, A (2019) Strategies and predictive models for reducing workflow variability in construction production systems, Unpublished PhD Thesis, , North Carolina State University.
Kranz, C N (2021) Optimizing compost incorporation for stormwater infiltration, runoff quality, and vegetation establishment in post-construction soils, Unpublished PhD Thesis, , North Carolina State University.
Lee, D (2023) Development of a real-time automated mobile robotic welding system in construction, Unpublished PhD Thesis, , North Carolina State University.
Lee, J (2005) Value analysis of Wi-Fi agent functions in construction, Unpublished PhD Thesis, , North Carolina State University.
Namian, M (2017) Factors affecting construction hazard recognition and safety risk perception, Unpublished PhD Thesis, , North Carolina State University.
Noghabaei, M (2021) Visual and behavioral data analysis in immersive virtual environments for enhancing construction safety, planning, and control, Unpublished PhD Thesis, , North Carolina State University.
Nuntasunti, S (2004) The effects of visual-based information logistics in construction, Unpublished PhD Thesis, , North Carolina State University.
Orgut, R E (2017) Metrics that matter: Improving project controls and analytics in construction industry, Unpublished PhD Thesis, , North Carolina State University.
Piper, B E B (2014) Optimization methods for improving the resilience of civil infrastructure systems subject to natural hazards, Unpublished PhD Thesis, , North Carolina State University.
Rihani, R A (2006) An investigation of critical success factors for robotic masonry, Unpublished PhD Thesis, , North Carolina State University.
Russell, M M (2013) Allocation of time buffer to construction project task durations, Unpublished PhD Thesis, , North Carolina State University.
Vereen, S C (2013) Forecasting skilled labor demand in the US construction industry, Unpublished PhD Thesis, , North Carolina State University.
Wambeke, B W (2011) Identifying, prioritizing, and reducing variation of construction related tasks, Unpublished PhD Thesis, , North Carolina State University.
Zuluaga Santa, C M (2018) Protecting bridge maintenance workers: Evaluating fall protection supplementary devices using virtual prototyping and wearable technology, Unpublished PhD Thesis, , North Carolina State University.