A bandwidth correction to the Allegri-Zhang solution for accelerated random vibration testing
In 2008, Allegri and Zhang published a study [Int. J. Fatigue. 2008, 30(6):967-977] in which they provided an exact analytical solution to the inverse scaling law for accelerated vibration tests of linear systems submitted to stationary Gaussian excitations By combining finite element analysis with...
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2018-01-01
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Series: | MATEC Web of Conferences |
Online Access: | https://doi.org/10.1051/matecconf/201816507006 |
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doaj-0937a57163424f848b4a81bccdcd46492021-03-02T10:51:22ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-011650700610.1051/matecconf/201816507006matecconf_fatigue2018_07006A bandwidth correction to the Allegri-Zhang solution for accelerated random vibration testingBenasciutti DenisCarlet MartaZanellati DavideIn 2008, Allegri and Zhang published a study [Int. J. Fatigue. 2008, 30(6):967-977] in which they provided an exact analytical solution to the inverse scaling law for accelerated vibration tests of linear systems submitted to stationary Gaussian excitations By combining finite element analysis with multiaxial spectral methods defined in the frequency-domain, their solution generalised the simple inverse power law model suggested in some standards. The solution adopted the “equivalent von Mises stress” multiaxial criterion combined with the narrow-band damage expression. This work aims to propose a bandwidth correction to the original Allegri-Zhang solution to account for the actual spectral banwidth of the local multiaxial stress. The corrected Allegri-Zhang solution is also extended to another multiaxial spectral method, namely the “Projection-by-Projection” criterion. A numerical example is finally discussed, in which the corrected solution is applied to an L-shaped beam submitted to random accelerations.https://doi.org/10.1051/matecconf/201816507006 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Benasciutti Denis Carlet Marta Zanellati Davide |
spellingShingle |
Benasciutti Denis Carlet Marta Zanellati Davide A bandwidth correction to the Allegri-Zhang solution for accelerated random vibration testing MATEC Web of Conferences |
author_facet |
Benasciutti Denis Carlet Marta Zanellati Davide |
author_sort |
Benasciutti Denis |
title |
A bandwidth correction to the Allegri-Zhang solution for accelerated random vibration testing |
title_short |
A bandwidth correction to the Allegri-Zhang solution for accelerated random vibration testing |
title_full |
A bandwidth correction to the Allegri-Zhang solution for accelerated random vibration testing |
title_fullStr |
A bandwidth correction to the Allegri-Zhang solution for accelerated random vibration testing |
title_full_unstemmed |
A bandwidth correction to the Allegri-Zhang solution for accelerated random vibration testing |
title_sort |
bandwidth correction to the allegri-zhang solution for accelerated random vibration testing |
publisher |
EDP Sciences |
series |
MATEC Web of Conferences |
issn |
2261-236X |
publishDate |
2018-01-01 |
description |
In 2008, Allegri and Zhang published a study [Int. J. Fatigue. 2008, 30(6):967-977] in which they provided an exact analytical solution to the inverse scaling law for accelerated vibration tests of linear systems submitted to stationary Gaussian excitations By combining finite element analysis with multiaxial spectral methods defined in the frequency-domain, their solution generalised the simple inverse power law model suggested in some standards. The solution adopted the “equivalent von Mises stress” multiaxial criterion combined with the narrow-band damage expression. This work aims to propose a bandwidth correction to the original Allegri-Zhang solution to account for the actual spectral banwidth of the local multiaxial stress. The corrected Allegri-Zhang solution is also extended to another multiaxial spectral method, namely the “Projection-by-Projection” criterion. A numerical example is finally discussed, in which the corrected solution is applied to an L-shaped beam submitted to random accelerations. |
url |
https://doi.org/10.1051/matecconf/201816507006 |
work_keys_str_mv |
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