Abstracts – Browse Results
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Abdollahipour, S (2013) Multi-parameter bidding in highway construction and rehabilitation projects, Unpublished PhD Thesis, , Oklahoma State University.
Alroomi, A S (2013) Integrative framework for sustainable development of the cost estimating profession, Unpublished PhD Thesis, , Oklahoma State University.
Brown, B H J (1974) An econometric forecasting model for a segment of the construction market, Unpublished PhD Thesis, , Oklahoma State University.
Duffy, G A (2009) Linear scheduling of pipeline construction projects with varying production rates, Unpublished PhD Thesis, , Oklahoma State University.
Eldin, N N (1987) Methodology for project management control in the construction industry, Unpublished PhD Thesis, , Oklahoma State University.
Ghulman, B A (2000) Predicting construction cost growth in ODOT's paving projects using information available at the bidding time, Unpublished PhD Thesis, , Oklahoma State University.
Hajji, A M (2013) Development of a productivity-based economic, energy, environmental model for heavy duty diesel construction equipment, Unpublished PhD Thesis, , Oklahoma State University.
Johnson, L R (1969) A competitive strategy model for highway construction proposals, Unpublished PhD Thesis, , Oklahoma State University.
Karimi, B (2018) Evaluation of emissions reduction strategies for heavy duty diesel construction equipment, Unpublished PhD Thesis, , Oklahoma State University.
- Type: Thesis
- Keywords: measurement; construction equipment; equipment; standards; environmental impact
- ISBN/ISSN:
- URL: https://www.proquest.com/docview/2195467136
- Abstract:
Heavy-duty diesel (HDD) construction equipment expends a considerable amount of fuels and correspondingly emits a substantial amount of pollutants to the air. This dissertation assesses potential impacts of diesel exhaust on operator and investigates some emission reduction strategies for HDD construction equipment based on real-world in-use data. Second-by-second data for fuel use and emission rates of hydrocarbons (HC), carbon monoxide (CO), carbon dioxide (CO2), nitrogen oxides (NOx), and particular matter (PM) as well as engine attributes were collected from 32 HDD construction equipment using Portable Emission Measurement Systems (PEMS). First, the impacts of tailpipe diesel exhaust emissions on Indoor Air Quality(IAQ) in heavy equipment cabs were characterized. The working hypothesis for this objective was tailpipe pollutant concentrations of NOx, CO, CO2, and PM exceed industry Permissible Exposure Limit (PELs). Based on the results, tailpipe emissions of NOx, CO, and CO2 greatly exceed their respective PEL (or reasonable surrogate). In some cases, the limit was exceeded by orders of magnitude. Therefore, some emission reduction strategies were investigated to improve IAQ in heavy equipment cabs. Using the same real world data, statistical comparisons of B20 versus petroleum diesel fuel use were performed on a fleet of backhoes, motor graders, and wheel loaders. Results show that B20 had a non-significant higher average price per gallon, as well as a significantly higher average hourly fuel use rate than petroleum diesel; however, B20 had significantly lower average emissions of NOx, HC, CO, and CO2 on a gram per gallon basis. Then, the energy and environmental impact of engine tier standards (tier 0 vs. tier 1 vs. tier2) were assessed. Based on the results, the major conclusion is that there are measurable differences in the impacts of higher tier number when used in off-road maintenance equipment. Overall, we can see an improvement in emission rates in more than 60% of cases, when higher tier number was concerned. Fuel use decreases as well in almost all cases with higher tier number. So, the general conclusion is that higher tier number has a positive environmental impact based on reductions in emissions of NOx, HC, CO, and CO 2 on a grams per gallon and gram per hour basis as well as fuel use on a gram per hour basis.
Kim, J (2022) A multimodal approach to improve fire safety on construction sites, Unpublished PhD Thesis, , Oklahoma State University.
King-Lewis, A (2020) Diversity and inclusion of women in the construction industry, Unpublished PhD Thesis, , Oklahoma State University.
Lee, B-H (2011) Forecasting wheat yield and quality conditional on weather information and estimating construction costs of agricultural facilities, Unpublished PhD Thesis, , Oklahoma State University.
Lusby, A K (2003) The effect of increased public investment in transportation infrastructure on oklahoma's economic development, Unpublished PhD Thesis, , Oklahoma State University.
Miller, R H (1973) Life cycle system model for estimating construction equipment ownership costs, Unpublished PhD Thesis, , Oklahoma State University.
Rainer, R K (1968) Predicting productivity of one or two elevators for construction of high-rise buildings, Unpublished PhD Thesis, , Oklahoma State University.
Shararah, H H (1981) Evaluation of wall construction techniques based upon economical factors influencing labor and materials, Unpublished PhD Thesis, , Oklahoma State University.
Spencer, G R (1987) Integration of cost estimating with critical path scheduling, Unpublished PhD Thesis, , Oklahoma State University.
Syachrani, S (2010) Advanced sewer asset management using dynamic deterioration models, Unpublished PhD Thesis, , Oklahoma State University.
Tamimi, M F (2022) Reliability and sensitivity analysis of civil and marine structures using machine-learning-assisted simulation, Unpublished PhD Thesis, , Oklahoma State University.
Trost, S M (1998) A quantitative model for predicting the accuracy of early cost estimates for construction projects in the process industry, Unpublished PhD Thesis, , Oklahoma State University.
Zeitoun, A A (1992) Evaluation of cost and schedule growth trends during construction, Unpublished PhD Thesis, , Oklahoma State University.