Type of Document Thesis Author Platt, Bethany Susan URN etd-06232006-114933 Title Parametric Optimization of Steel Floor System Cost Using Evolver Degree Master of Science Department Civil and Environmental Engineering, Department of Advisory Committee
Advisor Name Title Primus V. Mtenga Committee Chair John O. Sobanjo Committee Member Kamal S. Tawfiq Committee Member Keywords
- Genetric Algorithms
Date of Defense 2006-06-21 Availability unrestricted AbstractThis paper examines the application of Evolver, a genetic algorithm (GA) solving program, in a three-parameter optimization of a steel truss floor system with a concrete slab floor deck. The floor system is comprised of truss girders supporting beams running in a direction
perpendicular to the truss girders with a composite floor deck along the top. Using Evolver, three parameters are optimized for two truss girder topologies in order to find the least cost floor system. The weight of the structural members is correlated to the expenses of material, labor, equipment, and overhead and profit required for the construction of the floor through information given by Means Building Construction Cost Data and interviews with steel fabricators. This procedure may be modified to optimize the cost of any floor area size that may use different truss girder topologies, beam sections, and connections.
Parametric optimization is defined in this paper as the combination of configuration, size, and topology optimization of a truss girder, the size optimization of beams, and the optimization
of the spacings of both beams and truss girders in the system. A discrete set of values has been
selected for each variable that makes up the search space from which all solutions to the problem exist. A GA is a search algorithm, incorporated to quickly explore a wide range of answers and focus on better areas of the search space to find improved solutions.
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