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pro vyhledávání: '"Friswell, Michael Ian"'
Autor:
Pandey, Pushpa, Khodaparast, Hamed Haddad, Friswell, Michael Ian, Chatterjee, Tanmoy, Madinei, Hadi, Deighan, Tom
The study presents a novel approach for stochastic nonlinear model updating in structural dynamics, employing a Bayesian framework integrated with Markov Chain Monte Carlo (MCMC) sampling for parameter estimation by using an approximated likelihood f
Externí odkaz:
http://arxiv.org/abs/2410.11902
Autor:
Pandey, Pushpa a, Haddad Khodaparast, Hamed a, ⁎, Friswell, Michael Ian a, Chatterjee, Tanmoy b, Madinei, Hadi a, Deighan, Tom c
Publikováno v:
In Applied Mathematical Modelling February 2025 138 Part B
Publikováno v:
In Composite Structures 1 May 2020 239
Publikováno v:
In European Journal of Mechanics / A Solids September-October 2019 77
Publikováno v:
In Computers and Structures 15 April 2017 183:61-72
Akademický článek
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Autor:
JACQUELIN, Eric, Dessombz, Olivier, Sinou, Jean-Jacques, Adhikari, Sondipon, FRISWELL, Michael Ian
Publikováno v:
International Journal for Numerical Methods in Engineering
International Journal for Numerical Methods in Engineering, Wiley, 2017, 111 (12), pp.1170-1191. ⟨10.1002/nme.5497⟩
International Journal for Numerical Methods in Engineering, Wiley, 2017, 111 (12), pp.1170-1191. ⟨10.1002/nme.5497⟩
The response of a random dynamical system is totally characterized by its probability density function (pdf). However, determining a pdf by a direct approach requires a high numerical cost; similarly, surrogate models such as direct polynomial chaos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b4c9ef724c909b9f63c7470afe7c3744
https://hal.archives-ouvertes.fr/hal-01656560
https://hal.archives-ouvertes.fr/hal-01656560
Autor:
Friswell, Michael Ian1 m.i.friswell@bristol.ac.uk
Publikováno v:
Communications in Numerical Methods in Engineering. Apr2007, Vol. 23 Issue 4, p333-334. 2p.