Online Damage Detection in Structural Systems

Applications of Proper Orthogonal Decomposition, and Kalman and Particle Filters

Nonfiction, Science & Nature, Technology, Engineering, Mechanical, Electronics
Cover of the book Online Damage Detection in Structural Systems by Saeed Eftekhar Azam, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Saeed Eftekhar Azam ISBN: 9783319025599
Publisher: Springer International Publishing Publication: January 21, 2014
Imprint: Springer Language: English
Author: Saeed Eftekhar Azam
ISBN: 9783319025599
Publisher: Springer International Publishing
Publication: January 21, 2014
Imprint: Springer
Language: English

This monograph assesses in depth the application of recursive Bayesian filters in structural health monitoring. Although the methods and algorithms used here are well established in the field of automatic control, their application in the realm of civil engineering has to date been limited. The monograph is therefore intended as a reference for structural and civil engineers who wish to conduct research in this field. To this end, the main notions underlying the families of Kalman and particle filters are scrutinized through explanations within the text and numerous numerical examples. The main limitations to their application in monitoring of high-rise buildings are discussed and a remedy based on a synergy of reduced order modeling (based on proper orthogonal decomposition) and Bayesian estimation is proposed. The performance and effectiveness of the proposed algorithm is demonstrated via pseudo-experimental evaluations.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This monograph assesses in depth the application of recursive Bayesian filters in structural health monitoring. Although the methods and algorithms used here are well established in the field of automatic control, their application in the realm of civil engineering has to date been limited. The monograph is therefore intended as a reference for structural and civil engineers who wish to conduct research in this field. To this end, the main notions underlying the families of Kalman and particle filters are scrutinized through explanations within the text and numerous numerical examples. The main limitations to their application in monitoring of high-rise buildings are discussed and a remedy based on a synergy of reduced order modeling (based on proper orthogonal decomposition) and Bayesian estimation is proposed. The performance and effectiveness of the proposed algorithm is demonstrated via pseudo-experimental evaluations.

More books from Springer International Publishing

Cover of the book Understanding Other-Oriented Hope by Saeed Eftekhar Azam
Cover of the book Metal-Based Composite Nanomaterials by Saeed Eftekhar Azam
Cover of the book Engineering Secure Software and Systems by Saeed Eftekhar Azam
Cover of the book Representing Irish Religious Histories by Saeed Eftekhar Azam
Cover of the book Economic Responsibility by Saeed Eftekhar Azam
Cover of the book Dynamic Stability and Bifurcation in Nonconservative Mechanics by Saeed Eftekhar Azam
Cover of the book Spectral, Convolution and Numerical Techniques in Circuit Theory by Saeed Eftekhar Azam
Cover of the book Advances in Network Science by Saeed Eftekhar Azam
Cover of the book New Perspectives in End-User Development by Saeed Eftekhar Azam
Cover of the book Kelsenian Legal Science and the Nature of Law by Saeed Eftekhar Azam
Cover of the book Cyber Security Cryptography and Machine Learning by Saeed Eftekhar Azam
Cover of the book Young Children's Play and Environmental Education in Early Childhood Education by Saeed Eftekhar Azam
Cover of the book Financial Innovation and Engineering in Islamic Finance by Saeed Eftekhar Azam
Cover of the book Advances onto the Internet of Things by Saeed Eftekhar Azam
Cover of the book Characterizing Stellar and Exoplanetary Environments by Saeed Eftekhar Azam
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy