๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Evaluation of Quantification of Margins and Uncertainties Methodology for Assessing and Certifying the Reliability of the Nuclear Stockpile

โœ Scribed by Committee on the Evaluation of Quantification of Margins and Uncertainties Methodology for Assessing and Certifying the Reliability of the Nuclear Stockpile, National Research Council


Publisher
National Academies Press
Year
2009
Tongue
English
Leaves
93
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ Synopsis


Maintaining the capabilities of the nuclear weapons stockpile and performing the annual assessment for the stockpile's certification involves a wide range of processes, technologies, and expertise. An important and valuable element helping to link those components is the quantification of margins and uncertainties (QMU) framework. In this book, the National Research Council evaluates: how the national security labs were using QMU, including any significant differences among the three labs; its use in the annual assessment; and, whether the applications of QMU to assess the proposed reliable replacement warhead (RRW) could reduce the likelihood of resuming underground nuclear testing. This book presents an assessment of each of these issues and includes findings and recommendations to help guide laboratory and NNSA implementation and development of the QMU framework. It also serves as a guide for congressional oversight of those activities.

โœฆ Table of Contents


FrontMatter......Page 2
Preface......Page 8
Acknowledgments......Page 10
Contents......Page 12
Summary......Page 14
1 Overview......Page 17
2 Use of the QMU Methodology......Page 31
3 QMU and the Annual Assessment Review......Page 47
4 Comparison and Contrast of the Use of QMU......Page 52
5 QMU and the RRW Program......Page 56
Appendixes......Page 62
Appendix A: A Probabilistic Risk Assessment Perspective of QMU......Page 64
Appendix B: Committee Biographical Information......Page 80
Appendix C: Glossary......Page 90


๐Ÿ“œ SIMILAR VOLUMES


Assessing the Reliability of Complex Mod
โœ National Research Council; Division on Engineering and Physical Sciences; Board ๐Ÿ“‚ Library ๐Ÿ“… 2012 ๐Ÿ› National Academies Press ๐ŸŒ English

Advances in computing hardware and algorithms have dramatically improved the ability to simulate complex processes computationally. Today's simulation capabilities offer the prospect of addressing questions that in the past could be addressed only by resource-intensive experimentation, if at all. "A