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Technical Brief

Optimization of Piping Supports and Supporting Structure

[+] Author and Article Information
Kleio Avrithi

Assistant Professor
Department of Computer Science
and Engineering Technology,
University of Houston-Downtown,
1 Main Street, Suite N707,
Houston, TX 77002
e-mail: avrithik@uhd.edu

Harrison Hyung Min Kim

Professor
Donald Biggar Willett Scholar
Department of Industrial and
Enterprise Systems Engineering (ISE),
University of Illinois at Urbana-Champaign,
104 South Mathews Avenue,
Urbana, IL 61801
e-mail: hmkim@illinois.edu

1Corresponding author.

Contributed by the Pressure Vessel and Piping Division of ASME for publication in the JOURNAL OF PRESSURE VESSEL TECHNOLOGY. Manuscript received September 23, 2016; final manuscript received February 11, 2017; published online April 20, 2017. Assoc. Editor: Kunio Hasegawa.

J. Pressure Vessel Technol 139(4), 044503 (Apr 20, 2017) (7 pages) Paper No: PVT-16-1172; doi: 10.1115/1.4036144 History: Received September 23, 2016; Revised February 11, 2017

Optimization of piping supports is a well-known problem. The paper considers the optimization of piping supports with respect to cost and the loads transmitted to the supporting structural elements, when the orientation of the supporting structure is to be determined. This is the case, when new structural elements need to be added to the existing building structure to support components and piping systems that come as a new addition to a nuclear plant. The analytical target cascading (ATC) method is used for the optimization, combining the support loads from different piping analyses in a hierarchical framework. It is shown that the ATC method can be used for an optimized location of structural elements simultaneously supporting complex piping systems and implemented in a structural analysis software.

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References

Figures

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Fig. 1

Supports adjustment relevant to systems components for optimum design

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Fig. 2

Boundary between piping support and supporting structure

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Fig. 3

Structural element j = 1 fixed at end points i = 1 and i = 2

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Fig. 4

ATC decomposition in subsystems and components

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Fig. 5

Flowchart for optimization

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Fig. 6

Piping isometric view with optimized supports, showing physical points B and D from which the four beams need to pass

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Fig. 7

Layout (X–Y) of beams based only on piping system 1 analysis

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Fig. 8

Layout (X–Y) of beams based only on piping system 2 analysis

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Fig. 9

Layout (X–Y) of beams based on the converged optimal solution using ATC

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