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
Evaluation of Quantification of Margins and Uncertainties Methodology for Assessing and Certifying the Reliability of the Nuclear Stockpile
โ 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
No coin nor oath required. For personal study only.
โฆ 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.
โฆ 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
๐ SIMILAR VOLUMES
Based on deep theoretical as well as practical experience in Reliability and Quality Sciences, <i>Robust Design Methodology for Reliability</i> constructively addresses practical reliability problems. It offers a comprehensive design theory for reliability, utilizing robust design methodology and si