000			03551nam a22003855i 4500
001			291982
003			MX-SnUAN
005			20170705134224.0
007			cr nn 008mamaa
008			150903s2007 xxk| o |||| 0|eng d
020			_a9781846284458 _99781846284458
024	7		_a10.1007/9781846284458 _2doi
035			_avtls000343846
039		9	_a201509030356 _bVLOAD _c201405050259 _dVLOAD _y201402061206 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aTA169.7
100	1		_aChoi, Seung-Kyum. _eautor _9323493
245	1	0	_aReliability-based Structural Design / _cby Seung-Kyum Choi, Robert A. Canfield, Ramana V. Grandhi.
264		1	_aLondon : _bSpringer London, _c2007.
300			_ax, 306 páginas 88 illus, _brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
500			_aSpringer eBooks
505	0		_aPreliminaries -- Probabilistic Analysis -- Methods of Structural Reliability -- Reliability-based Structural Optimization -- Stochastic Expansion for Probabilistic Analysis -- Probabilistic Analysis Examples via Stochastic Expansion -- Summary.
520			_aAs 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.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aCanfield, Robert A. _eautor _9323494
700	1		_aGrandhi, Ramana V. _eautor _9323495
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9781846284441
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-84628-445-8 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c291982 _d291982