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Parametric Optimization of Steel Floor System Cost Using Evolver

Title: Parametric Optimization of Steel Floor System Cost Using Evolver.
Name(s): Platt, Bethany Susan, author
Mtenga, Primus V., professor directing thesis
Sobanjo, John O., committee member
Tawfiq, Kamal S., committee member
Department of Civil and Environmental Engineering, degree granting department
Florida State University, degree granting institution
Type of Resource: text
Genre: Text
Issuance: monographic
Date Issued: 2006
Publisher: Florida State University
Place of Publication: Tallahassee, Florida
Physical Form: computer
online resource
Extent: 1 online resource
Language(s): English
Abstract/Description: This 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.
Identifier: FSU_migr_etd-0645 (IID)
Submitted Note: A Thesis submitted to the Department of Civil and Environmental Engineering in partial fulfillment of the requirements for the degree of Master of Science.
Degree Awarded: Degree Awarded: Summer Semester, 2006.
Date of Defense: Date of Defense: June 21, 2006.
Keywords: Genetric Algorithms, Truss, Structures, Engineering
Bibliography Note: Includes bibliographical references.
Advisory committee: Primus V. Mtenga, Professor Directing Thesis; John O. Sobanjo, Committee Member; Kamal S. Tawfiq, Committee Member.
Subject(s): Civil engineering
Environmental engineering
Persistent Link to This Record:
Owner Institution: FSU

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Platt, B. S. (2006). Parametric Optimization of Steel Floor System Cost Using Evolver. Retrieved from