Reliability-based Structural Design provides readers with an understanding of the fundamentals and applications of structural reliability, stochastic finite element method, reliability analysis via stochastic expansion, and optimization under uncertainty. Probability theory, statistic methods, and reliability analysis methods including Monte Carlo Sampling, Latin hypercube sampling, first and second-Order reliability methods, stochastic finite element method, and stochastic optimization are discussed. In addition, the use of stochastic expansions, including polynomial chaos expansion and Karhunen-Loeve expansion, for the reliability analysis of practical engineering problems is also examined. Detailed examples of practical engineering applications including an uninhabited joined-wing aircraft and a supercavitating torpedo are presented to illustrate the effectiveness of these methods.
Reliability-based Structural Design will be a valuable reference for graduate and post graduate students studying structural reliability, probabilistic analysis and optimization under uncertainty; as well as engineers, researchers, and technical managers who are concerned with theoreticalfundamentals, computational implementations and applications for probabilistic analysis and design.
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Reliability-based Structural Design provides readers with an understanding of the fundamentals and applications of structural reliability, stochastic finite element method, reliability analysis via stochastic expansion, and optimization under uncertainty. Probability theory, statistic methods, and reliability analysis methods including Monte Carlo Sampling, Latin hypercube sampling, first and second-Order reliability methods, stochastic finite element method, and stochastic optimization are discussed. In addition, the use of stochastic expansions, including polynomial chaos expansion and Karhunen-Loeve expansion, for the reliability analysis of practical engineering problems is also examined. Detailed examples of practical engineering applications including an uninhabited joined-wing aircraft and a supercavitating torpedo are presented to illustrate the effectiveness of these methods.
Reliability-based Structural Design will be a valuable reference for graduate and post graduate students studying structural reliability, probabilistic analysis and optimization under uncertainty; as well as engineers, researchers, and technical managers who are concerned with theoreticalfundamentals, computational implementations and applications for probabilistic analysis and design.
Imprint | Springer London |
Country of origin | United Kingdom |
Release date | October 2006 |
Availability | Expected to ship within 10 - 15 working days |
First published | 2007 |
Authors | Seung-Kyum Choi, Ramana Grandhi, Robert A. Canfield |
Dimensions | 235 x 155 x 19mm (L x W x T) |
Format | Hardcover |
Pages | 306 |
Edition | 2007 ed. |
ISBN-13 | 978-1-84628-444-1 |
Barcode | 9781846284441 |
Categories | |
LSN | 1-84628-444-9 |