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May 31–June 3, 2026
Denver, CO|Sheraton Denver
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Modernizing I&C for operations and maintenance, one phase at a time
The two reactors at Dominion Energy’s Surry plant are among the oldest in the U.S. nuclear fleet. Yet when the plant celebrated its 50th anniversary in 2023, staff could raise a toast to the future. Surry was one of the first plants to file a subsequent license renewal (SLR) application, and in May 2021, it became official: the plant was licensed to operate for a full 80 years, extending its reactors’ lifespans into 2052 and 2053.
Kaushik Chatterjee, Mohammad Modarres
Nuclear Science and Engineering | Volume 170 | Number 2 | February 2012 | Pages 136-150
Technical Paper | doi.org/10.13182/NSE11-27
Articles are hosted by Taylor and Francis Online.
In probabilistic safety assessments of pressurized water reactors, it is imperative to assess the potential and frequency of steam generator tube ruptures. Estimation of the frequency of steam generator tube ruptures has traditionally been based on historical occurrences, which are not applicable to new designs of steam generators with different geometries, material properties, degradation mechanisms, and thermal-hydraulic behaviors. This paper presents a new probabilistic mechanistic-based approach for estimating steam generator tube rupture frequency that is based on the principle that the failure of passive systems is governed by degradation or unfavorable conditions created through the underlying operating conditions and underlying mechanical, electrical, thermal, and chemical processes. This developed approach identifies, probabilistically models, and simulates potential degradations in new and existing steam generator designs to assess degradation versus time, until such degradation exceeds a known endurance limit. An example application of the proposed reliability prediction approach is presented for a new design of small modular reactor steam generators consisting of helically coiled tubes fabricated with advanced tube materials. This developed probabilistic physics-of-failure-based approach, when combined with probabilistic safety assessment techniques, can provide an effective tool for the evaluation of the safety and reliability of steam generators, particularly new steam generator designs used in advanced reactors.