Studies of Fast Reactor Fuel Element Behavior Under Transient Heating to Failure

Studies of Fast Reactor Fuel Element Behavior Under Transient Heating to Failure

Author: C. E Dickerman

Publisher:

Published: 1961

Total Pages: 102

ISBN-13:

DOWNLOAD EBOOK

Meltdown tests on single metallic un-irradiated fuel elements in TREAT are described. The fuel elements (EBRII, Mark I fuel pins, EBR-II fuel pins with refractory Nb or Ta cladding, and Fermi-1 fuel pins) are tested in an inert atmosphere, with no coolant. The fuel elements are exposed to reactor power bursts of 200 msec to 25 sec duration, under conditions simulating fast reactor operations. For these tests, the type of power burst, the integrated power, the fuel enrichment, the maximum cladding temperature, and the effects of the test on the fuel element are recorded.


Steady-state and Transient Fission Gas Release and Swelling Model for LIFE-4. [LMFBR].

Steady-state and Transient Fission Gas Release and Swelling Model for LIFE-4. [LMFBR].

Author:

Publisher:

Published: 1984

Total Pages:

ISBN-13:

DOWNLOAD EBOOK

The fuel-pin modeling code LIFE-4 and the mechanistic fission gas behavior model FASTGRASS have been coupled and verified against gas release data from mixed-oxide fuels which were transient tested in the TREAT reactor. Design of the interface between LIFE-4 and FASTGRASS is based on an earlier coupling between an LWR version of LIFE and the GRASS-SST code. Fission gas behavior can significantly affect steady-state and transient fuel performance. FASTGRASS treats fission gas release and swelling in an internally consistent manner and simultaneously includes all major mechanisms thought to influence fission gas behavior. The FASTGRASS steady-state and transient analysis has evolved through comparisons of code predictions with fission-gas release and swelling data from both in- and ex-reactor experiments. FASTGRASS was chosen over other fission-gas behavior models because of its availability, its compatibility with the LIFE-4 calculational framework, and its predictive capability.