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Materials and Fabrication

Fabrication Uncertainty in B2 for Nuclear Pipe Bends Subjected to In-Plane Opening Moment

[+] Author and Article Information
Pronab Roy

e-mail: pronabroy07@gmail.com

Siddhartha Ghosh

e-mail: sghosh@civil.iitb.ac.in
Department of Civil Engineering,
Indian Institute of Technology Bombay,
Mumbai 400076, India

1Corresponding author.

Contributed by the Pressure Vessel and Piping Division of ASME for publication in the JOURNAL OF PRESSURE VESSEL TECHNOLOGY. Manuscript received May 24, 2011; final manuscript received August 7, 2012; published online December 5, 2012. Assoc. Editor: Somnath Chattopadhyay.

J. Pressure Vessel Technol 135(1), 011402 (Dec 05, 2012) (6 pages) Paper No: PVT-11-1129; doi: 10.1115/1.4007470 History: Received May 24, 2011; Revised August 07, 2012

For reliability-based design of pipe bends and elbows, a probabilistic characterization of the primary stress indices (B1 and B2) is essential. This paper aims at the characterization of the fabrication/geometric uncertainty in B2, for thin stainless steel long radius pipe bends, subjected to in-plane opening moment. This characterization is performed in a framework based on Monte Carlo simulation and nonlinear finite element analysis. A revision of the code-based expression for B2 is proposed where a random variable K replaces the constant numerator in this expression. The statistics for K are provided for different pipe nominal dimensions, which indicates that the existing provision gives a very conservative estimate of the plastic collapse moment for pipe bends subjected to in-plane opening flexure.

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References

Figures

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Fig. 1

Schematic diagram of the pipe specimen and its cross-section geometry

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Fig. 2

Determination of the plastic collapse moment

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Fig. 3

Sample moment-end rotation plot for nominal Do = 0.4064 m

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Fig. 4

Sample moment-end rotation plot for nominal Do = 0.2032 m

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Fig. 5

Sample moment-end rotation plot for nominal Do = 0.1524 m

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Fig. 6

Sample moment-end rotation plot for nominal Do = 0.1016 m

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Fig. 7

Effect of number of simulations on μK for different cases

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