03719nam 2200661 a 450 991095346670332120251117063159.09786612083655978030917846403091784609781282083653128208365197803091285440309128544(CKB)1000000000785681(OCoLC)567829931(CaPaEBR)ebrary10286198(SSID)ssj0000150839(PQKBManifestationID)11149118(PQKBTitleCode)TC0000150839(PQKBWorkID)10281679(PQKB)10952942(MiAaPQ)EBC3564163(Au-PeEL)EBL3564163(CaPaEBR)ebr10286198(CaONFJC)MIL208365(Perlego)4734879(BIP)25845202(EXLCZ)99100000000078568120090930d2009 uy 0engurcn|||||||||txtccrEvaluation of quantification of margins and uncertainties methodology for assessing and certifying the reliability of the nuclear stockpile /Committee on the Evaluation of Quantification of Margins and Uncertainties Methodology for Assessing and Certifying the Reliability of the Nuclear Stockpile, Division on Engineering and Physical Sciences, National Research Council of the National Academies1st ed.Washington, D.C. National Academies Press20091 online resource (91 p.) Bibliographic Level Mode of Issuance: Monograph9780309128537 0309128536 Includes bibliographical references.Intro -- Preface -- Acknowledgments -- Contents -- Summary -- 1 Overview -- 2 Use of the QMU Methodology -- 3 QMU and the Annual Assessment Review -- 4 Comparison and Contrast of the Use of QMU -- 5 QMU and the RRW Program -- Appendixes -- Appendix A: A Probabilistic Risk Assessment Perspective of QMU -- Appendix B: Committee Biographical Information -- Appendix C: Glossary.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 framework helping to link those components is the quantification of margins and uncertainties (QMU) methodology. 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 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. Nuclear weaponsUnited StatesTestingUncertainty (Information theory)Nuclear weaponsTesting.Uncertainty (Information theory)355.8251190973National Research Council (U.S.).Division on Engineering and Physical Sciences.MiAaPQMiAaPQMiAaPQBOOK9910953466703321Evaluation of quantification of margins and uncertainties methodology for assessing and certifying the reliability of the nuclear stockpile4360231UNINA