9780857292834 - computational techniques for structural health monitoring (springer series in reliability engineering) de ruzzene, massimo; hanagud, sathyanaraya; gopalakrishnan, srinivasan (14 resultados)
Computational Techniques for Structural Health Mon
Gopalakrishnan, Srinivasan; Ruzzene, Massimo; Hanagud, Sathyanaraya
Idioma: Inglés
Editorial: Springer, 2011
Serie: Libro 23 de 90 - Springer Series in Reliability Engineering
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Computational Techniques for Structural Health Monitoring
Srinivasan Gopalakrishnan|Massimo Ruzzene|Sathyanaraya Hanagud
Idioma: Inglés
Editorial: Springer London, 2011
Serie: Libro 23 de 90 - Springer Series in Reliability Engineering
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Computational Techniques for Structural Health Monitoring
Sathyanaraya Hanagud Srinivasan Gopalakrishnan Massimo Ruzzene
Idioma: Inglés
Editorial: Springer, 2011
Serie: Libro 23 de 90 - Springer Series in Reliability Engineering
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Computational Techniques for Structural Health Monitoring
Srinivasan Gopalakrishnan, Sathyanaraya Hanagud, Massimo Ruzzene
Idioma: Inglés
Editorial: Springer London, 2011
Serie: Libro 23 de 90 - Springer Series in Reliability Engineering
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Condición: Sehr gut. Zustand: Sehr gut | Seiten: 516 | Sprache: Englisch | Produktart: Bücher | 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.
Idioma: Inglés
Editorial: Springer London, Springer London, 2011
Serie: Libro 23 de 90 - Springer Series in Reliability Engineering
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Computational Techniques for Structural Health Monitoring (Springer Series in Reliability Engineering)
Gopalakrishnan, Srinivasan; Ruzzene, Massimo; Hanagud, Sathyanaraya
Idioma: Inglés
Editorial: Springer, 2011
Serie: Libro 23 de 90 - Springer Series in Reliability Engineering
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Computational Techniques for Structural Health Monitoring
Gopalakrishnan, Srinivasan/ Ruzzene, Massimo/ Hanagud, Sathyanaraya
Idioma: Inglés
Editorial: Springer Verlag, 2011
Serie: Libro 23 de 90 - Springer Series in Reliability Engineering
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Hardcover. Condición: Brand New. 516 pages. 9.25x6.25x1.25 inches. In Stock.
Computational Techniques for Structural Health Monitoring (Springer Series in Reliability Engineering)
Gopalakrishnan, Srinivasan, Ruzzene, Massimo, Hanagud, Sathy
Idioma: Inglés
Editorial: Springer, 2011
Serie: Libro 23 de 90 - Springer Series in Reliability Engineering
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 516 pp. Englisch.
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Editorial: Springer, 2011
Serie: Libro 23 de 90 - Springer Series in Reliability Engineering
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Buch. Condición: Neu. Computational Techniques for Structural Health Monitoring | Srinivasan Gopalakrishnan (u. a.) | Buch | Springer Series in Reliability Engineering | xvi | Englisch | 2011 | Springer | EAN 9780857292834 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot…]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
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Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 onse…t 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.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 516 pp. Englisch.
Computational Techniques for Structural Health Monitoring
Hanagud Sathyanaraya Gopalakrishnan Srinivasan Ruzzene Massimo
Idioma: Inglés
Editorial: Springer, 2011
Serie: Libro 23 de 90 - Springer Series in Reliability Engineering
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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Condición: New. Print on Demand pp. 518.
Computational Techniques for Structural Health Monitoring
Hanagud Sathyanaraya Gopalakrishnan Srinivasan Ruzzene Massimo
Idioma: Inglés
Editorial: Springer, 2011
Serie: Libro 23 de 90 - Springer Series in Reliability Engineering
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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Condición: New. PRINT ON DEMAND pp. 518.
