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Access anywhere, anytime: Nuclear power, Ice Camp, and Rickover’s enduring standard of excellence
Admiral William Houston
As U.S. Navy submarines surface through Arctic ice during Ice Camp 2026, they demonstrate more than operational proficiency in one of the harshest environments on Earth. They reaffirm a technological truth first proven in August 1958, when the USS Nautilus completed its submerged transit of the North Pole: nuclear power enables access anywhere, anytime.
The Arctic is unforgiving, with vast distances, extreme cold, shifting ice, and no logistical infrastructure. Conventional propulsion is constrained by fuel, air, and endurance. Nuclear propulsion removes those constraints. Only a nuclear-powered submarine can operate anywhere in the world’s oceans, including under the polar ice, undetected and at maximum capability for extended periods. Nuclear power provides sustained high speed and the endurance to reposition across the globe without refueling.
Andrey A. Troshko, Yassin A. Hassan
Nuclear Technology | Volume 131 | Number 2 | August 2000 | Pages 228-238
Technical Paper | Thermal Hydraulics | doi.org/10.13182/NT00-A3113
Articles are hosted by Taylor and Francis Online.
A simulation of VVER1000/320 operational transients was performed with the CATHARE2 V1.3L computer program. These transients consisted of consecutive shutdowns of two primary side pumps, prior to which, the reactor was under nominal operational condition with 72 and 52% power levels, respectively. The comparison between calculated and measured data indicated that the program was able to qualitatively predict the main phenomena taking place in both the primary and the secondary sides of the plant. The role of pump inertia was studied. It was found that implementation of inertial pump shutdown led to a better agreement with experiment. There was a lack of detailed information on the secondary-side geometry. Thus, it was difficult to conclude whether the quantitative discrepancy between experiment and calculation was due to the physical model or the geometric uncertainty.