Heung-Fai Lam, Jia-Hua Yang

Vibration Testing and Applications in System Identification of Civil Engineering Structures

• Gebundenes Buch

Produktbeschreibung

This book covers vibration testing and identification of dynamic structural systems. It starts from the fundamentals of structural dynamics, and covers the methods of modal analysis and model identification, vibration tests and the related experimental setup. It concludes with an outline of the authors' software, demonstrating practical applications, and illustrated with real-world case studies of full-scale structures.

Theory is presented and derived step-by-step, with a detailed measurement system developed for vibration tests. This book is written for Masters students and enables them to understand the theories of system identification and empowers them to apply this in practice.

Produktdetails

• Verlag: CRC Press / Taylor & Francis
• Seitenzahl: 430
• Erscheinungstermin: 6. September 2022
• Englisch
• Abmessung: 250mm x 175mm x 28mm
• Gewicht: 950g
• ISBN-13: 9781138332881
• ISBN-10: 1138332887
• Artikelnr.: 62608631

Autorenporträt

Lam, Heung Fai is currently Associate Professor at Department of Architecture and Civil Engineering, City University of Hong Kong, and Associate Editor of Engineering Structures. Yang, Jia-Hua is currently Associate Professor at College of Civil Engineering and Architecture and Scientific Research Center of Engineering Mechanics, Guangxi University (China).

Inhaltsangabe

1 Introduction 2 Fundamental of Structural Dynamics 3 Modal Analysis Based on Power Spectral Density Data 4 Modal Analysis Based on Cross-correlation Data 5 System Identification Based on Vector Autoregressive Moving Average Models 6 Modal updating by minimizing errors in modal parameters 7 Bayesian Model Updating Based on Markov chain Monte Carlo

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1 Introduction 2 Fundamental of Structural Dynamics 3 Modal Analysis Based
on Power Spectral Density Data 4 Modal Analysis Based on Cross-correlation
Data 5 System Identification Based on Vector Autoregressive Moving Average
Models 6 Modal updating by minimizing errors in modal parameters 7 Bayesian
Model Updating Based on Markov chain Monte Carlo