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001			293315
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007			cr nn 008mamaa
008			150903s2005 au | o |||| 0|eng d
020			_a9783211381342 _99783211381342
024	7		_a10.1007/3211381341 _2doi
035			_avtls000345425
039		9	_a201509030743 _bVLOAD _c201404121308 _dVLOAD _c201404091045 _dVLOAD _y201402061336 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aQ342
100	1		_aMróz, Zenon. _eeditor. _9325806
245	1	0	_aParameter Identification of Materials and Structures / _cedited by Zenon Mróz, Georgios E. Stavroulakis.
264		1	_aVienna : _bSpringer Vienna, _c2005.
300			_avii, 340 páginas 180 ilustraciones _brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
490	0		_aCISM International Centre for Mechanical Sciences, Courses and Lectures ; _v469
500			_aSpringer eBooks
505	0		_aAn Overview of Enhanced Modal Identification -- The Reciprocity Gap Functional for Identifying Defects and Cracks -- Some innovative industrial prospects centered on inverse analyses -- Identification of damage in beam and plate structures using parameter dependent modal changes and thermographic methods -- Crack and Flaw Identification in Statics and Dynamics, using Filter Algorithms and Soft Computing -- Application of Advanced Optimization Techniques to Parameter and Damage Identification Problems -- Neural Networks in the Identification Analysis of Structural Mechanics Problems.
520			_aThe nature and the human creations are full of complex phenomena, which sometimes can be observed but rarely follow our hypotheses. The best we can do is to build a parametric model and try to adjust (identify) the unknown parameters based on the available observations. The authors discuss problems relevant to materials and structures like inverse analysis in structures, crack, material parameter and damage identification, modal analysis and thermographic methods. The solution methods vary from classical optimization to neural networks and genetic algorithms. Since all the authors are engineers, well-known in the academic and industrial world, the emphasis is posed on methods which really work. In fact, the chapters provide state-of-the-art information supplemented by selected examples and numerous references to modern publications, so that the reader can directly proceed with the study of his own problems.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aStavroulakis, Georgios E. _eeditor. _9324763
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9783211301517
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/3-211-38134-1 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c293315 _d293315