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Technical Briefs

Moving Beyond Nondestructive Examination to Proactive Management of Materials Degradation

[+] Author and Article Information
Leonard J. Bond

 Laboratory Fellow, Applied Physics Group/National Security Directorate, Pacific Northwest National Laboratory, Richland, WA 99352leonard.bond@pnnl.gov

J. Pressure Vessel Technol 134(1), 014501 (Dec 20, 2011) (8 pages) doi:10.1115/1.4005056 History: Received March 02, 2011; Revised September 01, 2011; Published December 20, 2011; Online December 20, 2011

There is growing interest in life extensions to enable longer term operation (LTO) for both existing nuclear power plants (NPPs) and proposed new NPPs. In order to justify an initial license extension for the 40–60 yr period, new nondestructive examination (NDE) approaches have been developed and deployed by NPP operators in their aging management programs. However, to achieve the goals of even longer term operation, and specifically for the United States in looking at methodologies to support subsequent license renewal periods (i.e., 60–80 yr and beyond), it is necessary to understand the capabilities of current NDE methods to detect, monitor, and trend degradation and hence enable timely implementation of appropriate mitigation and corrective actions. This paper discusses insights from past experience, the state-of-the-art, and current activities in the move toward providing a capacity for proactive management of materials degradation to support NPP LTO.

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Copyright © 2012 by American Society of Mechanical Engineers
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References

Figures

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Figure 1

Data and types of first identification of new degradation processes found in U.S. nuclear power plants [9]

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Figure 2

Illustration of the fundamental differences in data structures between NDE and SHM (after Thompson [25])

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Figure 3

Schematic diagram illustrating materials or damage development with time, and the differentiation between reactive and proactive actions. Note that the degradation process versus time is rarely linear, as is often assumed.

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Figure 4

Range of prognostic approaches

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Figure 5

Strategy for development of a PMMD system

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