Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Chaoping, Zang"'
Publikováno v:
Applied Sciences, Vol 14, Iss 22, p 10698 (2024)
The performance of a rotor system is influenced by various design parameters that are neither precise nor constant. Uncertainties in rotor operation arise from factors such as assembly errors, material defects, and wear. To obtain more reliable analy
Externí odkaz:
https://doaj.org/article/3e352d8c1b5d447ba50f1aa314512128
Publikováno v:
In Mechanical Systems and Signal Processing 15 June 2023 193
Publikováno v:
Applied Sciences, Vol 13, Iss 4, p 2128 (2023)
Analysis of the vibration reduction characteristics of shock absorbers is crucial for engines. In this study, the fractal theory was applied to the contact surface of an under-platform damper (UPD), and the influence of the excitation force in the sa
Externí odkaz:
https://doaj.org/article/5d2811f08e6140d39c9bee70b0a776e1
Bayesian Uncertainty Identification of Model Parameters for the Jointed Structures with Nonlinearity
Publikováno v:
Shock and Vibration, Vol 2021 (2021)
Jointed structures in engineering naturally perform with some of nonlinearity and uncertainty, which significantly affect the dynamic characteristics of the structural system. In this paper, the method of Bayesian uncertainty identification of model
Externí odkaz:
https://doaj.org/article/1bbf2b4f3212403b85cf215c1235a1da
Autor:
Tong Jing1 jingtongemail@nuaa.edu.cn, Chaoping Zang1 c.zang@nuaa.edu.cn, Evgeny Petrov2 y.petrov@sussex.ac.uk
Publikováno v:
Journal of Engineering for Gas Turbines & Power. Mar2024, Vol. 146 Issue 3, p1-11. 11p.
Publikováno v:
Shock and Vibration, Vol 2020 (2020)
In this paper, an intelligent robust design approach combined with different techniques such as polynomial chaos expansion (PCE), radial basis function (RBF) neural network, and evolutionary algorithms is presented with a focus on the optimization of
Externí odkaz:
https://doaj.org/article/864579913da544f28daae9fb176ed2a6
Publikováno v:
Shock and Vibration, Vol 2020 (2020)
The measured frequency response functions (FRFs) in the modal test are usually contaminated with noise that significantly affects the modal parameter identification. In this paper, a modal peak-based Hankel-SVD (MPHSVD) method is proposed to eliminat
Externí odkaz:
https://doaj.org/article/b480e82513ea4d1fbc4eee42ff22e3d5
Publikováno v:
Engineering Computations. 39:2144-2161
PurposeFor fast calculation of complex structure in engineering, correlations among input variables are often ignored in uncertainty propagation, even though the effect of ignoring these correlations on the output uncertainty is unclear. This paper a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::649811ddaee0d1da1f21f14c9ca8013b
https://doi.org/10.1108/ec-04-2021-0205
https://doi.org/10.1108/ec-04-2021-0205
Publikováno v:
Archive of Applied Mechanics. 92:755-770
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db68a6b878ac6109f7c898790e902d66
https://doi.org/10.1007/s00419-021-02070-5
https://doi.org/10.1007/s00419-021-02070-5
Bayesian Uncertainty Identification of Model Parameters for the Jointed Structures with Nonlinearity
Publikováno v:
Shock and Vibration, Vol 2021 (2021)
Jointed structures in engineering naturally perform with some of nonlinearity and uncertainty, which significantly affect the dynamic characteristics of the structural system. In this paper, the method of Bayesian uncertainty identification of model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bba5c343585dd22697b0d5cfb4cb3fdd
https://doi.org/10.1155/2021/2638995
https://doi.org/10.1155/2021/2638995