Zobrazeno 1 - 10
of 48
pro vyhledávání: '"random loadings"'
Publikováno v:
Metals, Vol 12, Iss 4, p 616 (2022)
This article presents an application of a method for estimating the inherent statistical variability of the fatigue damage computed in one single nonstationary random time history. The method applies the concept of confidence interval for the damage,
Externí odkaz:
https://doaj.org/article/446bafb7257340558ced09c66855694b
Publikováno v:
Metals, Vol 11, Iss 3, p 447 (2021)
This paper presents an overview of fatigue testing systems in high-cycle regime for metals subjected to uniaxial and multiaxial random loadings. The different testing systems are critically discussed, highlighting advantages and possible limitations.
Externí odkaz:
https://doaj.org/article/d4d523d700d24e0690ce0861eed6aef4
Publikováno v:
Metals, vol. 11, no. 3, 447, 2021.
Metals, Vol 11, Iss 447, p 447 (2021)
Metals, Vol 11, Iss 447, p 447 (2021)
This paper presents an overview of fatigue testing systems in high-cycle regime for metals subjected to uniaxial and multiaxial random loadings. The different testing systems are critically discussed, highlighting advantages and possible limitations.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8695fe83ca6ae0cff4c5e99dd0cdaf46
https://hdl.handle.net/20.500.12556/RUL-134991
https://hdl.handle.net/20.500.12556/RUL-134991
Akademický článek
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More on variance of fatigue damage in non-Gaussian random loadings – effect of skewness and kurtosis
Publikováno v:
Procedia Structural Integrity. 25:101-111
This work investigates the variance of fatigue damage in stationary random loadings with non-Gaussian probability distribution and narrow-band power spectral density. It presents an approach exploiting a non-linear time-invariant transformation that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44593966f581416fe0b23d4074df9a54
https://doi.org/10.1016/j.prostr.2020.04.014
https://doi.org/10.1016/j.prostr.2020.04.014
Publikováno v:
Metals; Volume 12; Issue 4; Pages: 616
This article presents an application of a method for estimating the inherent statistical variability of the fatigue damage computed in one single nonstationary random time history. The method applies the concept of confidence interval for the damage,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b50b0c8380a2d388f9a0823fe0bbd21
https://doi.org/10.3390/met12040616
https://doi.org/10.3390/met12040616
Akademický článek
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In this paper, the variance of fatigue damage under stationary random loadings is investigated by means of different case studies (linear oscillator system, random process with ideal unimodal or bimodal power spectral density). Monte Carlo method is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5eaec70d045dfc63c90a6a34b56510ed
http://hdl.handle.net/11392/2416933
http://hdl.handle.net/11392/2416933
This paper investigates the variability of the fatigue damage caused by the randomness of a stationary Gaussian random loading. After reviewing some methods from the literature (e.g. Madsen et al., Low), the paper presents a Monte Carlo simulation st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b81c9b06dd4cf3bec52de80b6e7121f3
https://hdl.handle.net/11392/2430180
https://hdl.handle.net/11392/2430180