000			03990nam a22005535i 4500
001			u370537
003			SIRSI
005			20160812080038.0
007			cr nn 008mamaa
008			110730s2011 xxk| s |||| 0|eng d
020			_a9780857292841 _9978-0-85729-284-1
040			_cMX-MeUAM
050		4	_aQ342
082	0	4	_a006.3 _223
100	1		_aGopalakrishnan, Srinivasan. _eauthor.
245	1	0	_aComputational Techniques for Structural Health Monitoring _h[recurso electrónico] / _cby Srinivasan Gopalakrishnan, Massimo Ruzzene, Sathyanaraya Hanagud.
264		1	_aLondon : _bSpringer London, _c2011.
300			_aXVI, 500 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aSpringer Series in Reliability Engineering, _x1614-7839
505	0		_a1. Introduction -- 2. Fundamentals Concepts in Elasticity, Mechanics and Wave Propagation -- 3. Signal Processing Techniques -- 4. Application of The Finite Element Method in SHM -- 5. Spectral Finite Element Method -- 6. Simplified Spectral Models for Damaged Waveguides -- 7. Perturbation Methods for Damaged Structures -- 8. Bridging Scale Method -- 9. Modeling of Actuators and Sensors for SHM -- 10. Computational Techniques for Damage Detection, Classification and Quantification -- 11. Use of Soft Computing Tools for Damage Detection.
520			_aThe increased level of activity on structural health monitoring (SHM) in various universities and research labs has resulted in the development of new methodologies for both identifying the existing damage in structures and predicting the onset of damage that may occur during service. Designers often have to consult a variety of textbooks, journal papers and reports, because many of these methodologies require advanced knowledge of mechanics, dynamics, wave propagation, and material science. Computational Techniques for Structural Health Monitoring gives a one-volume, in-depth introduction to the different computational methodologies available for rapid detection of flaws in structures. Techniques, algorithms and results are presented in a way that allows their direct application. A number of case studies are included to highlight further the practical aspects of the selected topics.  Computational Techniques for Structural Health Monitoring also provides the reader with numerical simulation tools that are essential to the development of novel algorithms for the interpretation of experimental measurements, and for the identification of damage and its characterization. Upon reading Computational Techniques for Structural Health Monitoring, graduate students will be able to begin research-level work in the area of structural health monitoring. The level of detail in the description of formulation and implementation also allows engineers to apply the concepts directly in their research.
650		0	_aEngineering.
650		0	_aComputer simulation.
650		0	_aComputer aided design.
650		0	_aVibration.
650		0	_aBuilding construction.
650		0	_aMaterials.
650	1	4	_aEngineering.
650	2	4	_aComputational Intelligence.
650	2	4	_aVibration, Dynamical Systems, Control.
650	2	4	_aBuilding Repair and Maintenance.
650	2	4	_aComputer-Aided Engineering (CAD, CAE) and Design.
650	2	4	_aSimulation and Modeling.
650	2	4	_aStructural Materials.
700	1		_aRuzzene, Massimo. _eauthor.
700	1		_aHanagud, Sathyanaraya. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780857292834
830		0	_aSpringer Series in Reliability Engineering, _x1614-7839
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-0-85729-284-1
596			_a19
942			_cLIBRO_ELEC
999			_c198417 _d198417