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2026 Nuclear Energy Conference & Expo (NECX)
August 24–27, 2026
Dallas, TX|Hilton Anatole
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ANS panel discussion looks at nuclear’s place in maritime, energy, medicine, space
The applications of nuclear energy extend beyond providing power to the electrical grid. Advanced nuclear technologies may soon have new applications in oil and gas facilities, in hospitals and clinics, on the open seas, and on the moon.
A June 1 executive session, “How Nuclear Technologies will Shape the Future Energy Economy,” at the American Nuclear Society’s Annual Conference allowed experts have an open discussion on the future of nuclear advancements in multiple sectors.
Algirdas H. Marchertas, Ted B. Belytschko
Nuclear Technology | Volume 51 | Number 3 | December 1980 | Pages 433-442
Technical Paper | Mechanics Applications to Fast Breeder Reactor Safety / Reactor | doi.org/10.13182/NT80-A32579
Articles are hosted by Taylor and Francis Online.
A finite element analytical model involving an explicit time integration procedure is used to treat a prestressed concrete reactor vessel (PCRV) for liquid-metal fast breeder reactor containment. The model is axisymmetric and includes simulations of the tensile cracking of concrete, the reinforcement, and a prestressing capability under transient load. The quasi-static prestressing operation of the PCRV model is performed by an improved dynamic relaxation technique. The concrete material model used in these analyses accounts for tensile cracking in arbitrary directions, crushing of concrete, and the reinforcing steel The variation of the concrete tensile cracking limit with strain rate is taken into account. The prestressing tendons are modeled and relative slip is permitted. Several example solutions using the analytical model were compared with experimental results. The comparisons included simply supported beams and also small scale models of PCR Vs. It was shown that the analytical methods correlate quite well with experimental results, although in the vicinity of the failure load, the response of the models tends to be quite sensitive to input parameters.