03999nam a22005535i 4500 978-0-85729-284-1 DE-He213 20260521092038.0 cr nn 008mamaa 110730s2011 xxk| s |||| 0|eng d 9780857292841 99780857292841 10.1007/978-0-85729-284-1 doi 006.3 23 Gopalakrishnan, Srinivasan. author. Computational Techniques for Structural Health Monitoring [electronic resource] / by Srinivasan Gopalakrishnan, Massimo Ruzzene, Sathyanaraya Hanagud. London : Springer London, 2011. XVI, 500 p. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Springer Series in Reliability Engineering, 1614-7839 1. 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. The 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. ENGINEERING. COMPUTER SIMULATION. COMPUTER AIDED DESIGN. VIBRATION. BUILDING CONSTRUCTION. MATERIALS. ENGINEERING. COMPUTATIONAL INTELLIGENCE. VIBRATION, DYNAMICAL SYSTEMS, CONTROL. BUILDING REPAIR AND MAINTENANCE. COMPUTER-AIDED ENGINEERING (CAD, CAE) AND DESIGN. SIMULATION AND MODELING. STRUCTURAL MATERIALS. Ruzzene, Massimo. author. Hanagud, Sathyanaraya. author. SpringerLink (Online service) Springer eBooks Printed edition: 9780857292834 Springer Series in Reliability Engineering, 1614-7839 http://dx.doi.org/10.1007/978-0-85729-284-1 Ver el texto completo en las instalaciones del CICY ZDB-2-ENG ddc ER 35937 35937 0 0 ddc 0 0 LE CICY CICY EL 2025-10-06 0 006.3 2025-10-06 08:44:43 2025-10-06 ER