书目名称 | Online Damage Detection in Structural Systems |
副标题 | Applications of Prop |
编辑 | Saeed Eftekhar Azam |
视频video | |
概述 | Focuses on the development of fast and robust algorithms for online damage detection in structural systems.Compares the performances of Kalman, particle and hybrid filters using numerical examples.Ass |
丛书名称 | SpringerBriefs in Applied Sciences and Technology |
图书封面 |  |
描述 | 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. |
出版日期 | Book 2014 |
关键词 | Kalman Filter; Particle Filter; Proper Orthogonal Decomposition; Stochastic Inverse Analysis; Structural |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-319-02559-9 |
isbn_softcover | 978-3-319-02558-2 |
isbn_ebook | 978-3-319-02559-9Series ISSN 2191-530X Series E-ISSN 2191-5318 |
issn_series | 2191-530X |
copyright | The Author(s) 2014 |