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عنوان
Engineering risk assessment and design with subset simulation

پدید آورنده
Siu-Kui Au, Yu Wang.

موضوع
Engineering design-- Mathematics.,Risk assessment-- Mathematics.,Set theory.

رده

کتابخانه
Center and Library of Islamic Studies in European Languages

محل استقرار
استان: Qom ـ شهر: Qom

Center and Library of Islamic Studies in European Languages

تماس با کتابخانه : 32910706-025

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
9781118398067
(Number (ISBN
9781118398074
Erroneous ISBN
9781118398043

NATIONAL BIBLIOGRAPHY NUMBER

Number
dltt

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Engineering risk assessment and design with subset simulation
General Material Designation
[Book]
First Statement of Responsibility
Siu-Kui Au, Yu Wang.

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
Singapore :
Name of Publisher, Distributor, etc.
Wiley,
Date of Publication, Distribution, etc.
2014.

INTERNAL BIBLIOGRAPHIES/INDEXES NOTE

Text of Note
Includes bibliographical references and index.

SUMMARY OR ABSTRACT

Text of Note
"A unique book giving a comprehensive coverage of Subset Simulation - a robust tool for general applicationsThe book starts with the basic theory in uncertainty propagation using Monte Carlo methods and the generation of random variables and stochastic processes for some common distributions encountered in engineering applications. It then introduces a class of powerful simulation method called Markov Chain Monte Carlo method (MCMC), an important machinery behind Subset Simulation that allows one to generate samples for investigating rare scenarios in a probabilistically consistent manner. The theory of Subset Simulation is then presented, addressing related practical issues encountered in the actual implementation. A number of variants of Subset Simulation that can lead to improved performance for specific classes of problems will also be covered. The second half the book introduces the reader to probabilistic failure analysis and reliability-based design, which are laid out in a context that can be efficiently tackled within the context of Subset Simulation or Monte Carlo simulation in general. The result is a general framework that allows the practitioner to investigate reliability sensitivity to uncertain parameters and to explore possible design scenarios systematically for selection of the final design in a convenient but computationally efficient manner via simulation.A unique feature of this book is that it is complemented with a VBA (Visual Basic for Applications) that implements Subset Simulation in the Excel spreadsheet environment. This allows the reader to experiment with the examples in the book and get hands-on experience with simulation. A chapter is devoted to the software framework that allows a practical solution by resolving the risk assessment problem into three uncoupled procedures, namely, deterministic modeling, uncertainty modeling and uncertainty propagation. Presents a powerful simulation method called Subset Simulation for efficient engineering risk assessment and reliability-based design Illustrates application examples with MS Excel spreadsheets allowing readers to gain hands-on experience with simulation techniques Covers theoretical fundamentals as well as advanced implementation issues in practical engineering problems A companion website is available to include the developments of the software ideas "--

OTHER EDITION IN ANOTHER MEDIUM

Title
Engineering risk assessment and design with subset simulation
International Standard Book Number
9781118398043

TOPICAL NAME USED AS SUBJECT

Engineering design-- Mathematics.
Risk assessment-- Mathematics.
Set theory.

OTHER CLASS NUMBERS

Class number
TEC009070
System Code
bisacsh

PERSONAL NAME - PRIMARY RESPONSIBILITY

Au, Siu-Kui.

PERSONAL NAME - ALTERNATIVE RESPONSIBILITY

Wang, Yu.

CORPORATE BODY NAME - ALTERNATIVE RESPONSIBILITY

Wiley Online Library (Online service)

ORIGINATING SOURCE

Date of Transaction
20190423133503.0

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

[Book]

Y

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