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Optimization of piping supports with respect to supporting structure and cost
Avrithi, Kleio
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https://hdl.handle.net/2142/49784
Description
- Title
- Optimization of piping supports with respect to supporting structure and cost
- Author(s)
- Avrithi, Kleio
- Issue Date
- 2014-05-30T17:17:29Z
- Director of Research (if dissertation) or Advisor (if thesis)
- Kim, Harrison M.
- Department of Study
- Mechanical Sci & Engineering
- Discipline
- Mechanical Engineering
- Degree Granting Institution
- University of Illinois at Urbana-Champaign
- Degree Name
- M.S.
- Degree Level
- Thesis
- Keyword(s)
- piping supports
- optimization
- Analytical Target Cascading (ATC)
- cost
- Abstract
- The optimization of the location of piping supports is a well-known problem. In this study, the location of supports is examined with respect to the supporting structures (building). A two criteria optimization problem is formulated, where the transmitted loads on the supporting structure as well as the cost of the supports are minimized. The stress criteria for the piping and the allowable displacements are considered as constraints. It is shown that the increase of the number of piping supports distribute better the loads on the structural elements and at the same time increase the capital cost of supports. A “Pareto frontier” is formulated showing the interaction of capital cost and reduction of transmitted loads on the structural elements. In certain cases, there is the possibility of optimizing the orientation of the supporting structure in such a way that the effects of the transmitted piping loads on the structure are minimized. In this study, such an example is provided and optimization is performed using the Analytical Target Cascading (ATC) method. It is shown that the ATC method can be used for complex piping systems, where the results of different piping analyses can be integrated to improve the design of supporting structural elements in a hierarchical framework.
- Graduation Semester
- 2014-05
- Permalink
- http://hdl.handle.net/2142/49784
- Copyright and License Information
- Copyright 2014 Kleio Avrithi
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