000			03226nam a22003974a 4500
005			20250930133538.0
008			120613s2010 flua b 001 0 eng
020			_a9780415492478 (hbk.) _cRM474.05
020			_a0415492475 (hbk.)
020			_a9780203834985 (ebook)
020			_a0203834984 (ebook)
039		9	_a201208151519 _brosli _c201208030909 _drasyilla _y06-13-2012 _zrasyilla
040			_aDLC _cDLC _dUKM _dBTCTA _dYDXCP _dBWX _dCDX _dWAU _dUAB _dINU _dDLC _dUKM
090			_aTA174.N435 3
090			_aTA174 _b.N435 3
100	1		_aNikolaidis, Efstratios.
245	1	0	_aDesign decisions under uncertainty with limited information / _cEfstratios Nikolaidis, Zissimos P. Mourelatos, and Vijitashwa Pandey.
260			_aBoca Raton : _bCRC Press, _c2010.
300			_axiv, 521 p. : _bill. ; _c26 cm.
490	1		_aStructures and infrastructures series, _x1747-7735 ; _vv. 7
504			_aIncludes bibliographical references and index.
520			_a'Reliability methods are becoming increasingly popular in engineering design because they help build safer and more efficient products than traditional deterministic methods. A principal challenge in using these methods in practical design problems is to model uncertainty when little data is available and the underlying mechanism of uncertain events is unknown. There is a need for an integrated presentation of tools for modeling uncertainty and making design decisions under severe uncertainty, which bridges the gap between theory and practice for methods for design under uncertainty. This work presents and compare the most important theories for modeling uncertainty and explains what tools are most suitable for a given design problem. It illustrates how to solve practical design problems in the aerospace and automotive engineering industries with a balanced approach explaining both the theoretical foundations of methods and their application to engineering design. The numerous examples in each section will help to appreciate the importance of design under uncertainty and the theoretical developments of the methods. Readers will learn a structured, risk-based approach for design under uncertainty when limited information is available, which tools are available and which to select and apply given a design decision problem. They will further understand how to improve their overall performance using a structured, risk-based approach for design under uncertainty. Intended for mechanical and civil engineers working in aerospace, automotive, civil, shipbuilding and power engineering, and for graduate level courses and students in reliability analysis and design and decision-making under uncertainty'-- _cProvided by publisher.
650		0	_aEngineering design.
650		0	_aDecision making. _959541
650		0	_aReliability (Engineering)
700	1		_aMourelatos, Zissimos P.
700	1		_aPandey, Vijitashwa.
830		0	_aStructures and infrastructures series ; _vv. 7.
907			_a.b1539525x _b2019-11-12 _c2019-11-12
942			_c01 _n0 _kTA174.N435 3
914			_avtls003504357
990			_ark4
991			_aFakulti Kejuruteraan dan Alam Bina
998			_al _b2012-01-06 _cm _da _feng _gflu _y0 _z.b1539525x
999			_c523023 _d523023