دانلود مقاله ISI انگلیسی شماره 26647
عنوان فارسی مقاله

عدم اطمینان و آنالیز حساسیت در ارزیابی عملکرد برای مخزن زباله های رادیو اکتیو سطح بالا ارائه شده در کوه یوکای امریکایی، نوادا

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
26647 2012 10 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Uncertainty and sensitivity analysis in performance assessment for the proposed high-level radioactive waste repository at Yucca Mountain, Nevada
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Reliability Engineering & System Safety, Volume 107, November 2012, Pages 44–63

کلمات کلیدی
عدم قطعیت - عدم قطعیت معرفت شناختی - ارزیابی عملکرد - دفع زباله های رادیو اکتیو - تجزیه و تحلیل حساسیت - تجزیه و تحلیل عدم قطعیت - کوه یوکای امریکایی -
پیش نمایش مقاله
پیش نمایش مقاله  عدم اطمینان و آنالیز حساسیت در ارزیابی عملکرد برای مخزن زباله های رادیو اکتیو سطح بالا ارائه شده در کوه یوکای امریکایی، نوادا

چکیده انگلیسی

Extensive work has been carried out by the U.S. Department of Energy (DOE) in the development of a proposed geologic repository at Yucca Mountain (YM), Nevada, for the disposal of high-level radioactive waste. As part of this development, a detailed performance assessment (PA) for the YM repository was completed in 2008 and supported a license application by the DOE to the U.S. Nuclear Regulatory Commission (NRC) for the construction of the YM repository. The following aspects of the 2008 YM PA are described in this presentation: (i) conceptual structure and computational organization, (ii) uncertainty and sensitivity analysis techniques in use, (iii) uncertainty and sensitivity analysis for physical processes, and (iv) uncertainty and sensitivity analysis for expected dose to the reasonably maximally exposed individual (RMEI) specified the NRC’s regulations for the YM repository.

مقدمه انگلیسی

Extensive work has been carried out by the U.S. Department of Energy (DOE) in the development of a proposed geologic repository at Yucca Mountain (YM), Nevada, for the disposal of high-level radioactive waste [1], [2], [3], [4], [5] and [6]. As part of this development, a detailed performance assessment (PA) for the YM repository was completed in 2008 [6] and supported a license application by the DOE to the U.S. Nuclear Regulatory Commission (NRC) for the construction of the YM repository [7]. This presentation provides an overview of the conceptual and computational structure of the indicated PA (hereafter referred to as the 2008 YM PA) and the roles that uncertainty analysis and sensitivity analysis play in this structure. The following aspects of the 2008 YM PA are described in this presentation: (i) conceptual structure and computational organization (Section 2), (ii) uncertainty and sensitivity analysis techniques in use (Section 3), (iii) uncertainty and sensitivity analysis for physical processes (Section 4), and (iv) uncertainty and sensitivity analysis for expected dose to a reasonably maximally exposed individual (RMEI) specified the NRC’s regulations for the YM repository (Section 5). The presentation then ends with a summary discussion (Section 6). This presentation is based on an invited talk given at the 2010 Sensitivity Analysis of Model Output (SAMO) conference in Milan, Italy [8], and, in turn, is an adaptation of three earlier presentations given at the 2008 International High-Level Radioactive Waste Management Conference (IHLRWMC) in Las Vegas, Nevada [9], [10] and [11]. The primary background reference for this presentation is a large and detailed technical report that describes the 2008 YM PA and provides references to a large body of additional reports that provide further information on the details of the 2008 YM PA and the models incorporated into this PA [6]. Selected aspects of the 2008 YM PA have also been described by the authors of this presentation in three additional conference papers [12], [13] and [14] and a book chapter [15]. At present, a special issue of Reliability Engineering & System Safety is under development that will provide more details on uncertainty and sensitivity analysis in the 2008 YM PA than can be included in a single journal article.

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