Bayesian spectral density approach for identification of bridge section’s flutter derivatives operated in turbulent flow
Sign Up to like & getrecommendations! Published in 2022 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2021.108782
Abstract: This study presents a Bayesian spectral density approach for identification and uncertainty quantification of flutter derivatives of bridge sections utilizing buffeting displacement responses, where thewind tunnel test is conducted in turbulent flow. Different from traditional… read more here.
Keywords: spectral density; bayesian spectral; approach; flutter derivatives ... See more keywords
Bayesian Spectral Deconvolution Based on Poisson Distribution: Bayesian Measurement and Virtual Measurement Analytics (VMA)
Sign Up to like & getrecommendations! Published in 2019 at "Journal of the Physical Society of Japan"
DOI: 10.7566/jpsj.88.044003
Abstract: In this paper, we propose a new method of Bayesian measurement for spectral deconvolution, which regresses spectral data into the sum of unimodal basis function such as Gaussian or Lorentzian funct... read more here.
Keywords: deconvolution based; bayesian measurement; measurement; spectral deconvolution ... See more keywords