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.
von Gopalakrishnan, Srinivasan und Hanagud, Sathyanaraya und Ruzzene, Massimo.
Jayakanth Srinivasan
Srinivasan Chandrasekaran
R. Gopalakrishnan
Srinivasan Chandrasekaran
Srinivasan Chandrasekaran
A. V. Srinivasan
Gopalakrishnan Subramaniam
Shashikala Srinivasan
Ramesh Srinivasan
Ramesh Srinivasan
Harini Gopalswami Srinivasan
Prabha Srinivasan
R. Gopalakrishnan
Divya Srinivasan Sridhar
Ravi Srinivasan
Krishnan Srinivasan
Srinivasan Sunderasan
Mandyam M. Srinivasan
Kasthurirangan Gopalakrishnan
A. V. Srinivasan
Seetha Srinivasan
Kasthurirangan Gopalakrishnan
The term "soft computing" applies to variants of and combinations under the four broad categories of evolutionary computing, neural networks, fuzzy logic, and bayesian statistics.
Girija Srinivasan
Girija Srinivasan
Srinivasan, R. Prof.
Chitra Gopalakrishnan
Bina Srinivasan
Bina Srinivasan
Śr̲īnivāsan, Pi. Ke.
Mangalam Srinivasan
Sridhar Srinivasan Iyengar
P. Srinivasan
Heinz Walterscheid
David Baldacci
Tyler Cowen
Liqiu Wang
Veronica Pacini-Ketchabaw
Heinzwerner Preuß
Donald F. Toomey
Peter Schröder
Peter C. Lockemann
G. Familiari
John D. Lambris
John Henderson Soga
Amir M. Rahmani
This book presents the state-of-the art of one of the main concerns with microprocessors today, a phenomenon known as "dark silicon".
S. Challacombe
Karim Miské
Janan Ganesh
Louise Lemire
United States. Congress. Senate. Committee on Small Business and Entrepreneurship
Karin K. Breitman
M. Munochiveyi
Gunther Bastert
Richard J. Davidson
Walter Leal Filho
A major objective of this volume is to create and share knowledge about the socio-economic, political and cultural dimensions of climate change.
Steve Santagati
Amon Saba Saakana
L. McKie
Vladimir P. Gerdt
This book constitutes the proceedings of the 14th international workshop on computer algebra in scientific computing, casc 2013, held in berlin, germany, in september 2013.
Johan Huizinga
William Manchester
Monica Baldwin
David E. Sadava
Tae-Yeon Seong
Elaine Marie Alphin
S.M. Ansari
American Institute for Cancer Research
Gali Einav
M. Shoham
Lawrence W Sinclair
Moshe Jarden
Montefiore Hugh Sebag
Nicholas Goodrick-Clarke
Vladimir N. Obridko
Georg Kühnemann
Victor Shoup
Michael Trimmel
Paul Glasserman
Max Kuhn
John Heebner
Stephen Ernest Rodabaugh
Oystein Bruserud
Daniel L. Schacter