04065nam a22005535i 4500001001800000003000900018005001700027007001500044008004100059020001800100020001900118024003500137082001400172100004100186245015700227264003800384300003400422336002600456337002600482338003600508347002400544490005900568505054700627520151401174650001702688650002502705650002702730650001502757650002702772650001502799650001702814650003202831650004302863650003702906650005402943650002902997650002603026700003103052700003603083710003403119773002003153776003603173830005903209856010103268912001403369942001203383999001703395952009903412978-0-85729-284-1DE-He21320260521092038.0cr nn 008mamaa110730s2011    xxk|    s    |||| 0|eng d  a9780857292841  a997808572928417 a10.1007/978-0-85729-284-12doi04a006.32231 aGopalakrishnan, Srinivasan.eauthor.10aComputational Techniques for Structural Health Monitoringh[electronic resource] /cby Srinivasan Gopalakrishnan, Massimo Ruzzene, Sathyanaraya Hanagud. 1aLondon :bSpringer London,c2011.  aXVI, 500 p.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aSpringer Series in Reliability Engineering,x1614-78390 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.  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. 0aENGINEERING. 0aCOMPUTER SIMULATION. 0aCOMPUTER AIDED DESIGN. 0aVIBRATION. 0aBUILDING CONSTRUCTION. 0aMATERIALS.14aENGINEERING.24aCOMPUTATIONAL INTELLIGENCE.24aVIBRATION, DYNAMICAL SYSTEMS, CONTROL.24aBUILDING REPAIR AND MAINTENANCE.24aCOMPUTER-AIDED ENGINEERING (CAD, CAE) AND DESIGN.24aSIMULATION AND MODELING.24aSTRUCTURAL MATERIALS.1 aRuzzene, Massimo.eauthor.1 aHanagud, Sathyanaraya.eauthor.2 aSpringerLink (Online service)0 tSpringer eBooks08iPrinted edition:z9780857292834 0aSpringer Series in Reliability Engineering,x1614-783940uhttp://dx.doi.org/10.1007/978-0-85729-284-1zVer el texto completo en las instalaciones del CICY  aZDB-2-ENG  2ddccER  c35937d35937  00102ddc40708LEaCICYbCICYcELd2025-10-06l0o006.3r2025-10-06 08:44:43w2025-10-06yER