Reactor Safety Research Programs: January - March 1981
Title | Reactor Safety Research Programs: January - March 1981 PDF eBook |
Author | S. K. Edler |
Publisher | |
Pages | 142 |
Release | 1981 |
Genre | Nuclear fuel rods |
ISBN |
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Reactor Safety Research Programs
Title | Reactor Safety Research Programs PDF eBook |
Author | U.S. Nuclear Regulatory Commission. Office of Nuclear Regulatory Research. Division of Accident Evaluation |
Publisher | |
Pages | 173 |
Release | 1978 |
Genre | Nuclear fuel rods |
ISBN |
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Light Water Reactor Safety Research Program
Title | Light Water Reactor Safety Research Program PDF eBook |
Author | Sandia National Laboratories |
Publisher | |
Pages | 286 |
Release | 1982-10 |
Genre | Light water reactors |
ISBN |
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Light Water Reactor Safety Research Program
Title | Light Water Reactor Safety Research Program PDF eBook |
Author | Marshall Berman |
Publisher | |
Pages | 248 |
Release | 1983 |
Genre | Light water reactors |
ISBN |
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Light-water-reactor Safety Research Program
Title | Light-water-reactor Safety Research Program PDF eBook |
Author | Marshall Berman |
Publisher | |
Pages | 176 |
Release | 1981 |
Genre | Light water reactors |
ISBN |
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Reactor Safety Research Programs
Title | Reactor Safety Research Programs PDF eBook |
Author | S. K. Edler |
Publisher | |
Pages | 136 |
Release | 1981 |
Genre | Nuclear fuel rods |
ISBN |
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Light-water-reactor Safety Research Program. Quarterly Progress Report, January-March 1981
Title | Light-water-reactor Safety Research Program. Quarterly Progress Report, January-March 1981 PDF eBook |
Author | |
Publisher | |
Pages | |
Release | 1981 |
Genre | |
ISBN |
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A mechanistic model for the prediction of microcracking (grain-boundary separation) during transient conditions has been generated within the context of the FASTGRASS computer code. A model based on the work of DiMelfi and Deitrich describing ductile/brittle behavior has been replaced by one based on the work of Beere and Speight, Chuang and Rice, and Chen and Argon. The theory underlying this new model is described and its proposed implementation in the prediction of DEH test results is outlined.