語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Uncertainty Quantification for Safet...
~
Boafo, Emmanuel.
FindBook
Google Book
Amazon
博客來
Uncertainty Quantification for Safety Verification Applications in Nuclear Power Plants.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Uncertainty Quantification for Safety Verification Applications in Nuclear Power Plants./
作者:
Boafo, Emmanuel.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2016,
面頁冊數:
165 p.
附註:
Source: Dissertation Abstracts International, Volume: 78-10(E), Section: B.
Contained By:
Dissertation Abstracts International78-10B(E).
標題:
Engineering. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10608954
ISBN:
9781369800869
Uncertainty Quantification for Safety Verification Applications in Nuclear Power Plants.
Boafo, Emmanuel.
Uncertainty Quantification for Safety Verification Applications in Nuclear Power Plants.
- Ann Arbor : ProQuest Dissertations & Theses, 2016 - 165 p.
Source: Dissertation Abstracts International, Volume: 78-10(E), Section: B.
Thesis (Ph.D.)--University of Ontario Institute of Technology (Canada), 2016.
There is an increasing interest in computational reactor safety analysis to systematically replace the conservative calculations by best estimate calculations augmented by quantitative uncertainty analysis methods. This has been necessitated by recent regulatory requirements that have permitted the use of such methods in reactor safety analysis. Stochastic uncertainty quantification methods have shown great promise, as they are better suited to capture the complexities in real engineering problems. This study proposes a framework for performing uncertainty quantification based on the stochastic approach, which can be applied to enhance safety analysis. (Abstract shortened by ProQuest.).
ISBN: 9781369800869Subjects--Topical Terms:
586835
Engineering.
Uncertainty Quantification for Safety Verification Applications in Nuclear Power Plants.
LDR
:01628nmm a2200289 4500
001
2125225
005
20171113075202.5
008
180830s2016 ||||||||||||||||| ||eng d
020
$a
9781369800869
035
$a
(MiAaPQ)AAI10608954
035
$a
AAI10608954
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Boafo, Emmanuel.
$3
3287278
245
1 0
$a
Uncertainty Quantification for Safety Verification Applications in Nuclear Power Plants.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2016
300
$a
165 p.
500
$a
Source: Dissertation Abstracts International, Volume: 78-10(E), Section: B.
502
$a
Thesis (Ph.D.)--University of Ontario Institute of Technology (Canada), 2016.
520
$a
There is an increasing interest in computational reactor safety analysis to systematically replace the conservative calculations by best estimate calculations augmented by quantitative uncertainty analysis methods. This has been necessitated by recent regulatory requirements that have permitted the use of such methods in reactor safety analysis. Stochastic uncertainty quantification methods have shown great promise, as they are better suited to capture the complexities in real engineering problems. This study proposes a framework for performing uncertainty quantification based on the stochastic approach, which can be applied to enhance safety analysis. (Abstract shortened by ProQuest.).
590
$a
School code: 1555.
650
4
$a
Engineering.
$3
586835
650
4
$a
Electrical engineering.
$3
649834
650
4
$a
Nuclear engineering.
$3
595435
690
$a
0537
690
$a
0544
690
$a
0552
710
2
$a
University of Ontario Institute of Technology (Canada).
$b
Engineering and Applied Sciences.
$3
3287279
773
0
$t
Dissertation Abstracts International
$g
78-10B(E).
790
$a
1555
791
$a
Ph.D.
792
$a
2016
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10608954
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9335837
電子資源
01.外借(書)_YB
電子書
EB
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入