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Recent developments of Bayesian model class selection and applications in civil engineering
Bayesian model class selection has attracted substantial interest in recent years for
selecting the most plausible/suitable class of models based on system input–output data …
selecting the most plausible/suitable class of models based on system input–output data …
Bayesian methods for updating dynamic models
Abstract Model updating of dynamical systems has been attracting much attention because it
has a very wide range of applications in aerospace, civil, and mechanical engineering, etc …
has a very wide range of applications in aerospace, civil, and mechanical engineering, etc …
[كتاب][B] Bayesian methods for structural dynamics and civil engineering
KV Yuen - 2010 - books.google.com
Bayesian methods are a powerful tool in many areas of science and engineering, especially
statistical physics, medical sciences, electrical engineering, and information sciences. They …
statistical physics, medical sciences, electrical engineering, and information sciences. They …
Model selection using response measurements: Bayesian probabilistic approach
A Bayesian probabilistic approach is presented for selecting the most plausible class of
models for a structural or mechanical system within some specified set of model classes …
models for a structural or mechanical system within some specified set of model classes …
Bayesian operational modal analysis: theory, computation, practice
Ambient vibration tests have attracted increasing attention over the last few decades
because they can be performed economically with the structure under working condition …
because they can be performed economically with the structure under working condition …
Automated Bayesian operational modal analysis of the long-span bridge using machine-learning algorithms
Abstract The Bayesian Operational Modal Analysis (OMA) approach can both estimate the
most probable value (MPV) of modal parameters and swiftly give identification uncertainty …
most probable value (MPV) of modal parameters and swiftly give identification uncertainty …
Efficient model updating and health monitoring methodology using incomplete modal data without mode matching
A methodology is presented for Bayesian structural model updating using noisy incomplete
modal data corresponding to natural frequencies and partial mode shapes of some of the …
modal data corresponding to natural frequencies and partial mode shapes of some of the …
Structural health monitoring of Shanghai Tower during different stages using a Bayesian approach
The dynamic characterization of structures is essential for assessing their response when
subjected to dynamic loads in structural health monitoring. It mainly comprises the modal …
subjected to dynamic loads in structural health monitoring. It mainly comprises the modal …
A transfer Bayesian learning methodology for structural health monitoring of monumental structures
A critical aspect in structural health monitoring (SHM) applied to civil engineering structures
is the lack of diagnostic labels able to assign a damage class to the measured data. In this …
is the lack of diagnostic labels able to assign a damage class to the measured data. In this …
Uncertainty quantification in operational modal analysis of time-varying structures based on time-dependent autoregressive moving average model
The identified modal parameters in Operational Modal Analysis (OMA) are always subject to
statistical uncertainties from many sources and the uncertainty is also important to assess …
statistical uncertainties from many sources and the uncertainty is also important to assess …