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Research Papers: Design and Analysis

Probabilistic Structural Integrity Analysis of Reactor Pressure Vessels During Pressurized Thermal Shock Events

[+] Author and Article Information
Jinya Katsuyama

e-mail: katsuyama.jinya@jaea.go.jp

Kunio Onizawa

Nuclear Safety Research Center,
Japan Atomic Energy Agency,
2-4 Shirakata-shirane, Tokai-mura,
Naka-gun, Ibaraki 319-1195Japan

1Present address: Mizuho Information & Research Institute, Inc., 2-3 Kanda Nishiki-cho, Chiyoda-ku, Tokyo 101-8443, Japan.

Contributed by the Pressure Vessel and Piping Division of ASME for publication in the JOURNAL OF PRESSURE VESSEL TECHNOLOGY. Manuscript received February 13, 2013; final manuscript received August 2, 2013; published online November 27, 2013. Assoc. Editor: David L. Rudland.

J. Pressure Vessel Technol 136(1), 011208 (Nov 27, 2013) (7 pages) Paper No: PVT-13-1034; doi: 10.1115/1.4025615 History: Received February 13, 2013; Revised August 02, 2013

To apply a probabilistic fracture mechanics (PFM) analysis to the structural integrity assessment of a reactor pressure vessel (RPV), a PFM analysis code has been developed at JAEA. Using this PFM analysis code, pascal version 3, the conditional probabilities of crack initiation (CPIs) and fracture for an RPV during pressurized thermal shock (PTS) events have been analyzed. Sensitivity analyses on certain input parameters were performed to clarify their effect on the conditional fracture probability. Comparisons between the conditional probabilities and the temperature margin (ΔTm) based on the current deterministic analysis method were made for various model plant conditions for typical domestic older types of RPVs. From the analyses, a good correlation between ΔTm and the conditional probability of crack initiation was obtained.

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References

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Figures

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Fig. 1

Main flow chart in pascal3

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Fig. 5

KI curves for PTS transients and KIc curve at f = 10 × 10+19 n/cm2 in weld metal of model plant 1

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Fig. 6

Definitions of ΔTm with or without considering the WPS effect

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Fig. 7

Conditional probability of crack initiation in weld metal of model plant 1

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Fig. 8

Conditional probability of fracture in weld metal of model plant 1

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Fig. 9

Conditional probability of crack initiation in base metal of model plant 1

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Fig. 10

Conditional probability of fracture in base metal of model plant 1

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Fig. 11

Ratio of conditional probability of fracture to crack initiation for LBLOCA

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Fig. 12

Ratio of conditional probability of fracture to crack initiation for MSLB

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Fig. 13

Relationship between ΔTm and conditional probability of crack initiation for model plant 0

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Fig. 14

Relationship between ΔTm and conditional probability of crack initiation for all model plants

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Fig. 15

Relationship between ΔTm and conditional probability of fracture for all model plants

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