Reliability-based Structural Design

As modern structures require more critical and complex designs, the need for accurate approaches to assess uncertainties in loads, geometry, material properties, manufacturing processes and operational environments has increased significantly. Reliability assessment techniques help to develop safe d...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Choi, Seung-Kyum (Συγγραφέας), Canfield, Robert A. (Συγγραφέας), Grandhi, Ramana V. (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: London : Springer London, 2007.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 03812nam a22005535i 4500
001 978-1-84628-445-8
003 DE-He213
005 20151204152904.0
007 cr nn 008mamaa
008 100301s2007 xxk| s |||| 0|eng d
020 |a 9781846284458  |9 978-1-84628-445-8 
024 7 |a 10.1007/978-1-84628-445-8  |2 doi 
040 |d GrThAP 
050 4 |a TA169.7 
050 4 |a T55-T55.3 
050 4 |a TA403.6 
072 7 |a TGPR  |2 bicssc 
072 7 |a TEC032000  |2 bisacsh 
082 0 4 |a 658.56  |2 23 
100 1 |a Choi, Seung-Kyum.  |e author. 
245 1 0 |a Reliability-based Structural Design  |h [electronic resource] /  |c by Seung-Kyum Choi, Robert A. Canfield, Ramana V. Grandhi. 
264 1 |a London :  |b Springer London,  |c 2007. 
300 |a X, 306 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a Preliminaries -- Probabilistic Analysis -- Methods of Structural Reliability -- Reliability-based Structural Optimization -- Stochastic Expansion for Probabilistic Analysis -- Probabilistic Analysis Examples via Stochastic Expansion -- Summary. 
520 |a As modern structures require more critical and complex designs, the need for accurate approaches to assess uncertainties in loads, geometry, material properties, manufacturing processes and operational environments has increased significantly. Reliability assessment techniques help to develop safe designs and identify where significant contributors of uncertainty occur in structural systems, or, where further research, testing and quality control could increase the safety and efficiency of the structure. 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 theoretical fundamentals, computational implementations and applications for probabilistic analysis and design. 
650 0 |a Engineering. 
650 0 |a Computational intelligence. 
650 0 |a Structural mechanics. 
650 0 |a Automotive engineering. 
650 0 |a Quality control. 
650 0 |a Reliability. 
650 0 |a Industrial safety. 
650 1 4 |a Engineering. 
650 2 4 |a Quality Control, Reliability, Safety and Risk. 
650 2 4 |a Computational Intelligence. 
650 2 4 |a Structural Mechanics. 
650 2 4 |a Automotive Engineering. 
700 1 |a Canfield, Robert A.  |e author. 
700 1 |a Grandhi, Ramana V.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9781846284441 
856 4 0 |u http://dx.doi.org/10.1007/978-1-84628-445-8  |z Full Text via HEAL-Link 
912 |a ZDB-2-ENG 
950 |a Engineering (Springer-11647)