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 study to compare such methods with results from time- and frequency-domain analyses. Best-fitting expressions are derived to relate the variability of the damage directly to bandwidth parameters of a PSD. Finally, the paper analyses the variability of the damage when computed from one or few time-histories. For both cases, confidence intervals are constructed to bound the expected damage; simulations confirm their correctness.

Variability of the fatigue damage due to the randomness of a stationary vibration load

Benasciutti D.;
2020-01-01

Abstract

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 study to compare such methods with results from time- and frequency-domain analyses. Best-fitting expressions are derived to relate the variability of the damage directly to bandwidth parameters of a PSD. Finally, the paper analyses the variability of the damage when computed from one or few time-histories. For both cases, confidence intervals are constructed to bound the expected damage; simulations confirm their correctness.
File in questo prodotto:
File Dimensione Formato  
2020_MARQUES BENA TOVO_Variability damage random loading_IJF_2020.pdf

non disponibili

Licenza: Non pubblico
Dimensione 1.44 MB
Formato Adobe PDF
1.44 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11390/1293527
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 16
  • ???jsp.display-item.citation.isi??? 13
social impact