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Online Damage Detection in Structural Systems - Applications of Proper Orthogonal Decomposition, and Kalman and Particle Filters (Paperback, 2014 ed.)
Loot Price: R1,557
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Online Damage Detection in Structural Systems - Applications of Proper Orthogonal Decomposition, and Kalman and Particle Filters (Paperback, 2014 ed.)
Series: PoliMI SpringerBriefs
Expected to ship within 10 - 15 working days
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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.
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