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Titlebook: Engineering Probabilistic Design and Maintenance for Flood Protection; Roger Cooke,Max Mendel,Han Vrijling Book 19971st edition Kluwer Aca

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書(shū)目名稱(chēng)Engineering Probabilistic Design and Maintenance for Flood Protection
編輯Roger Cooke,Max Mendel,Han Vrijling
視頻videohttp://file.papertrans.cn/311/310896/310896.mp4
圖書(shū)封面Titlebook: Engineering Probabilistic Design and Maintenance for Flood Protection;  Roger Cooke,Max Mendel,Han Vrijling Book 19971st edition Kluwer Aca
描述The First Conference on Engineering Probability in Flood Defense was orga- nized by the Department of Mathematics and Informatics of the Delft U niver- sity of Technology and the Department of Industrial Engineering and Opera- tions Research of the University of California at Berkeley, and was held on June 1,2 1995 in Delft. Groups at Berkeley and Delft were both deeply engaged in modeling deterioration in civil structures, particularly flood defense structures. The plans for the conference were well under way when the dramatic floods in The Netherlands and California in the winter of 1994-1995 focused world attention on these problems. The design of civil engineering structures and systems is essentially an example of decision making under uncertainty. Although the decision making part of the process is generally acknowledged, the uncertainty in variables and param- eters in the design problem is less frequently recognized. In many practical design procedures the uncertainty is concealed behind sharp probabilistic de- sign targets like ‘once in a thousand years‘ combined with a standardized use of safety factors. The choice of these probabilistic design targets, however, is based
出版日期Book 19971st edition
關(guān)鍵詞civil engineering; research; uncertainty
版次1
doihttps://doi.org/10.1007/978-1-4613-3397-5
isbn_softcover978-1-4613-3399-9
isbn_ebook978-1-4613-3397-5
copyrightKluwer Academic Publishers 1997
The information of publication is updating

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The Case for Engineering Probabilityf symmetries on the distribution, which is then translated into Bayesian likelihood models. One can then leverage off of Bayesian statistical theory to incorporate data into the model. The article uses a simple second-order system to demonstrate these techniques.
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Book 19971st edition- sity of Technology and the Department of Industrial Engineering and Opera- tions Research of the University of California at Berkeley, and was held on June 1,2 1995 in Delft. Groups at Berkeley and Delft were both deeply engaged in modeling deterioration in civil structures, particularly flood def
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https://doi.org/10.1007/978-1-349-13384-0understand the paper in detail. However, being in that subset, it is a pleasure to read the paper. It has been well written and it summarises in a condensed but clear way a great part of the necessary theoretical reliability background.
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