Operational Modal Analysis
Presents operational modal analysis, employing a coherent and comprehensive Bayesian framework for modal identification Covers materials from introductory to advanced level, which are classified accordingly to ensure easy access for readers from different fields Includes stochastic modeling, theoretical formulations, computational algorithms, and practical applications
| Autor: | Au, Siu-Kui |
|---|---|
| ISBN: | 9789811041174 |
| Sprache: | Englisch |
| Seitenzahl: | 542 |
| Produktart: | Gebunden |
| Verlag: | Springer Singapore |
| Veröffentlicht: | 07.07.2017 |
| Untertitel: | Modeling, Bayesian Inference, Uncertainty Laws |
| Schlagworte: | Ambient Vibrations Bayesian Inference Bayesian Modal Identification FFT Approximations OMA Stochastic Modelling Stochastic Structural Dynamics Wishart Distribution |
Dr. Au is Professor of Uncertainty, Reliability & Risk in the Center for Engineering Dynamics and Institute for Risk & Uncertainty, University of Liverpool (UK); and Chutian Professor in the School of Water Resources & Hydropower Engineering, Wuhan University (China). He holds a PhD (2001, Caltech) in civil engineering and has been working in the area of the monograph for over twenty years. He performs fundamental and applied research in engineering risk methods and structural health monitoring. He has developed an advanced Monte Carlo method called Subset Simulation that has found applications in many disciplines, e.g., civil, mechanical, aerospace, electrical and nuclear engineering. He is experienced in full-scale dynamic testing of structures and has consulted on vibration projects on long-span pedestrian bridges, large-span floors, super-tall buildings and micro-tremors. Dr. Au is recipient of the IASSAR Junior Research Prize (2005), Nishino Prize (2011),JSPS Fellowship (2014) and Tan Chin Tuan Fellowship (2015).