Computational Techniques for Structural Health Monitoring / Springer Series in Reliability Engineering (PDF)
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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.
Dr. Massimo Ruzzene is an associate professor in the School of Aerospace Engineering and in the School of Mechanical Engineering of the Georgia Institute of Technology. He received a Laurea (Summa Cum Laude) and a PhD in Mechanical Engineering from the Politecnico di Torino, Torino, Italy, in 1995 and 1999 respectively. Dr. Ruzzene conducts research in the broad areas of structural dynamics and wave propagation,
Dr. S. Hanagud worked at Stanford Research Institute (now SRI International) prior to joining the Georgia Tech Faculty in 1970. He became a tenure track faculty member in 1974. He was a co-founder of Failure Analysis Institute, Menlo Park, California in 1968. He taught at the University of Santa Clara as an adjunct faculty member from 1964 through 1970. Prior to receiving his PhD, he was a research assistant at Stanford University and a research fellow at the Indian Institute of Science. In addition to conducting research, Dr. Hanagud advises PhD and MS students. He has been responsible for the graduation of 32 PhD students. He has continuously modified the graduate-level structural dynamics courses to reflect the latest developments. He also developed a new graduate-level course in the areas of structural dynamics system identification, crashworthy design of structures, applied non-linear dynamics and smart structures. Honors and awards include the Sigma Gamma Tau Teaching Award (1974) in recognition of his undergraduate teaching; Georgia Tech Faculty Research Award (1989); Lincoln Arc Welding Foundation Award for Innovative Structural Design for Crashworthy Vehicles; four AIAA (IASc) Student Awards at Stanford University; Distinguished Alumnus, Indian Institute of Science, Bangalore, India (1992); Distinguished Fellowship of the International Development Fund of Japan (1993); and Fellow of American Institute of Aeronautics and Astronautics (2004). Dr. Hanagud's major contributions include the introduction of the concept of smart structures to the army research office (ARO); health monitoring techniques based on super-harmonic response associated with delamination, debonding and cracks; optimized sine wave web concept for energy absorbing structures; perturbation-based techniques for identification of nonlinear structural dynamic systems; scanning laser-based techniques for linear structural dynamic system identification; and development of closed loop models and vibration control techniques using smart or adaptive structures. He is the author of more than 250 refereed publications.
- Autoren: Srinivasan Gopalakrishnan , Massimo Ruzzene , Sathyanaraya Hanagud
- 2011, 2011, 500 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 0857292846
- ISBN-13: 9780857292841
- Erscheinungsdatum: 01.08.2011
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- Dateiformat: PDF
- Größe: 19 MB
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