000 03994nam a22005655i 4500
001 978-0-85729-284-1
003 DE-He213
005 20170628033420.0
007 cr nn 008mamaa
008 110730s2011 xxk| s |||| 0|eng d
020 _a9780857292841
_9978-0-85729-284-1
024 7 _a10.1007/978-0-85729-284-1
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aGopalakrishnan, Srinivasan.
_eauthor.
245 1 0 _aComputational Techniques for Structural Health Monitoring
_h[electronic resource] /
_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 _uhttp://dx.doi.org/10.1007/978-0-85729-284-1
912 _aZDB-2-ENG
999 _c15088
_d15088