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S A (2015) Social and engineering aspects of construction site management using simulation and social network analysis, Unpublished PhD Thesis, , North Carolina State University.
Abudayyeh, O Y (1991) An automated data acquisition and data storage model for improving cost and schedule control, Unpublished PhD Thesis, , North Carolina State University.
Al-Ibrahim, A (2006) Optimizing roof maintenance and replacement decisions, Unpublished PhD Thesis, , North Carolina State University.
Alsharef, A F A (2022) Leveraging data analytics to improve construction operations and occupational safety, Unpublished PhD Thesis, , North Carolina State University.
Arocho Rosa, I d M (2015) The impact of transportation construction projects and activities on emissions, Unpublished PhD Thesis, , North Carolina State University.
- Type: Thesis
- Keywords: optimization; construction equipment; construction project; construction site; equipment; highway; commercial building; regulation
- ISBN/ISSN:
- URL: https://www.proquest.com/docview/1703693416
- Abstract:
Construction equipment is an important contributor to emissions from construction projects. EPA develops emissions regulations that are followed by equipment manufacturers when producing new equipment. However, there are no national regulations that address emissions related to equipment use or fleet management. The objective of this research is to model emissions from construction projects and to analyze and understand the impact of equipment and activity characteristics in the total emissions. The study will focus on the exhaust pollutants that are included in the EPA NONROAD model for equipment used on construction sites. The first part of the study included the estimation of construction equipment emissions for various transportation construction projects. The projects included road and utility projects, and highway projects. The calculations included emissions per day, emissions per construction activity, and emissions per equipment. Total project emissions were used to determine emissions metrics including emissions per dollar of bid cost, emissions per day of construction, and emissions per unit of work, that for the transportation projects was emissions per foot of road length. The results were compared to the total emissions and the emissions metrics for a commercial building project that was completed previously. The data needed to complete these calculations was collected from different sources. Actual construction data was collected from the contractors for all projects. Data collected during construction vary between projects. The contractor’s data was supplemented with data from the RS Means Construction Data publication. Basic equipment characteristics were collected from the Caterpillar Performance Manual. Emissions factors for all the equipment were collected from the EPA NONROAD model. The second part of the study included the development of an optimization model to select equipment fleet composition to minimize emissions or cost. This part also included a sensitivity analysis that was used to identify the effect of equipment characteristics and schedule changes on construction emissions. The model was developed with multiple objectives: minimize emissions, minimize cost, or minimize cost with a cap on emissions. The results showed that equipment cost increase if the emissions are minimized. The minimum cost solution includes all Tier 1 equipment while the minimum emissions solution requires all the equipment to be Tier 3. Changing the emissions limit results on a mixed fleet that includes items of different tiers. The last part of the study included the identification and assessment of the emissions regulations and the incentive programs that are in use currently. Future and possible policies were also identified. Current and future policies were assessed based on the lessons learned from the first two sections of this study and the unique construction industry characteristics.
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.
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.