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 Ureteral Stone Management by Saeed Eftekhar Azam
Cover of the book Transformations of Global Prosperity by Saeed Eftekhar Azam
Cover of the book Sources and Transport of Inorganic Carbon in the Unsaturated Zone of Karst by Saeed Eftekhar Azam
Cover of the book The Role of Anesthesiology in Global Health by Saeed Eftekhar Azam
Cover of the book Family Therapy with Adolescents in Residential Treatment by Saeed Eftekhar Azam
Cover of the book The New Eastern Mediterranean by Saeed Eftekhar Azam
Cover of the book Methodological Reflections on Practice Oriented Theories by Saeed Eftekhar Azam
Cover of the book Special Operations from a Small State Perspective by Saeed Eftekhar Azam
Cover of the book Advances in Body Area Networks I by Saeed Eftekhar Azam
Cover of the book Atmospheric and Space Sciences: Neutral Atmospheres by Saeed Eftekhar Azam
Cover of the book Algorithmic Aspects in Information and Management by Saeed Eftekhar Azam
Cover of the book Spectroscopy and Optical Diagnostics for Gases by Saeed Eftekhar Azam
Cover of the book Protection of Information and the Right to Privacy - A New Equilibrium? by Saeed Eftekhar Azam
Cover of the book Sustaining River Ecosystems and Water Resources by Saeed Eftekhar Azam
Cover of the book Dictionary of Corporate Social Responsibility 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