Progress in Modeling Pu Properties and Aging - ESC Review, March 19-23, 2001
An important component of the Pu aging programs both here at LLNL and at LANL is the development of models for the aging processes. These models will, in the foreseeable future, be validated with more and more data from different experiments, and eventually enable us to predict the lifetime of pits. The processes of aging from within the material are mainly caused by the radioactive decay of Pu, and this produces three drivers for changes in properties: (1) Radiation damage in the form of displacements, of defects, of dislocations, and voids. (2) Helium will aggregate in the form of bubbles and cavities. (3) Uranium, Americium, and Neptunium will change the chemical composition and perhaps the phase stability. All the three drivers act synergistically, no doubt. But it is useful to approach the complexity of Pu aging with the strategy of ''first divide, conquer, and then unify''. In this spirit, we have divided the program into three major task areas with individual subtasks to be conquered by various researchers. The subtasks and staffing has changed somewhat from last year, and this is indicated on the viewgraph by underlines. Undoubtedly, it will change in the future, but the objectives of the major tasks and of the entire project will not change until the mission as stated at the beginning will have been accomplished. As you see from the third task, there is a strong emphasis on providing theoretical and computational support for critical, fundamental experiments. Before reviewing the progress made last year for the various tasks, let me briefly state what the physical properties are that we monitor for signs of aging. Prominent is the change in density and microstructure, and its effects on strength and EOS. You will hear little if anything at all about the latter two properties, but work is in progress on these issues, and the review committee will hear about it at the next review. For this review, I want to concentrate on dimensional changes and the underlying changes in microstructure. Once we understand the changes in the microstructure, we can perhaps predict its influence on strength and EOS. It forms the basis for the predictive capability that we want to develop.
- Research Organization:
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Sponsoring Organization:
- US Department of Energy (US)
- DOE Contract Number:
- W-7405-ENG-48
- OSTI ID:
- 15005124
- Report Number(s):
- UCRL-ID-143935; TRN: US200414%%603
- Resource Relation:
- Other Information: PBD: 29 Mar 2001
- Country of Publication:
- United States
- Language:
- English
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