Date of Award
Master of Science
A multi-objective optimization of CO2 emissions and cost for the design of reinforced concrete beam developed. The analysis and design procedures are based on specifications prescribed by the American Concrete Institute (ACI 318M-11) and Eurocode 2 (EC2) for concrete design. Two, three, and four span continuous beams are optimized to meet strength and serviceability limits of each code and then compared. In addition, cost optimization only is used to compare results with results from another publication. The multi-objective optimization uses a hybrid Big Bang-Big Crunch algorithm. Pareto fronts for cost and CO2 emissions are developed for design examples to compare the theoretical analysis to simplified analysis and investigate tradeoffs between CO2 emissions and cost.
dissertation or thesis originally submitted to the local University of Memphis Electronic Theses & dissertation (ETD) Repository.
Nelson, Darin Patrick, "Cost and CO2 Optimization of Reinforced Concrete Beams using a Big Bang-Big Crunch Algorithm" (2014). Electronic Theses and Dissertations. 1035.