TIARA analysis of tritium inventory in Li{sub 2}O
The TIARA code has been developed to predict tritium inventory in Li{sub 2}O breeder ceramic and to predict purge exit flow rate and composition under steady-state operating conditions. Inventory predictions are based on models for bulk diffusion, surface desorption, solubility and precipitation. Parameters for these models are determined from the results of laboratory annealing studies on unirradiated and irradiated Li{sub 2}O and from a limited number (2) of inventory data measured after in-reactor purge-flow testing. The remaining inventory data points (18) are used for code validation. In the validation exercise, models and model parameters are fixed to assess how well TIARA predictions agree with data. On the average, the TIARA predictions are in excellent agreement with the inventory data from the following in-reactor tests: EXOTIC-2, SIBELIUS, VOM-15H, CRITIC-1, BEATRIX-II (Phase 1) thin ring, and BEATRIX-II (Phase 1) thick pellet. Thus, TIARA can be used with a reasonable degree of confidence for design analysis over a broad range of fabrication variables and steady-state operating conditions.
- Research Organization:
- Argonne National Lab., IL (United States)
- Sponsoring Organization:
- USDOE, Washington, DC (United States)
- DOE Contract Number:
- W-31109-ENG-38
- OSTI ID:
- 10155074
- Report Number(s):
- ANL/TD/CP-82063; CONF-940664-3; ON: DE94012643; TRN: 94:012902
- Resource Relation:
- Conference: ISFNT-3: international symposium on fusion nuclear technology,Los Angeles, CA (United States),27 Jun - 1 Jul 1994; Other Information: PBD: May 1994
- Country of Publication:
- United States
- Language:
- English
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