Abstract
The major goal of the present study is to develop fast and robust algorithms for online damage detection in structural systems. To accomplish this objective, the research study presented in this monograph can contribute to three different research areas: (a) stochastic system identification of multi degrees-of-freedom structural systems via recursive Bayesian inference algorithms, (b) reduced order modeling of multi degrees-of-freedom structural systems through proper orthogonal decomposition; and (c) stochastic system identification of reduced order models of multi degrees of freedom structural systems through recursive Bayesian filters.
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References
Bartlett MS (1978) An introduction to stochastic processes with special reference to methods and applications. Cambridge University Press, London
de Lautour OR, Omenzetter P (2010) Damage classification and estimation in experimental structures using time series analysis and pattern recognition. Mech Syst Sign Proces 24:1556–1569
Shane C, Jha R (2011a) Proper orthogonal decomposition based algorithm for detecting damage location and severity in composite beams. Mech Syst Sign Proces 25:1062–1072
Skolnik DA, Nigbor RL, Wallace JW (2011) A quantitative basis for building instrumentation specifications. Earthquake Spectra 27:133–152
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Eftekhar Azam, S. (2014). Conclusions. In: Online Damage Detection in Structural Systems. SpringerBriefs in Applied Sciences and Technology(). Springer, Cham. https://doi.org/10.1007/978-3-319-02559-9_6
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DOI: https://doi.org/10.1007/978-3-319-02559-9_6
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-319-02559-9
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