Our system is currently under heavy load due to increased usage. We're actively working on upgrades to improve performance. Thank you for your patience.
2022
DOI: 10.1016/j.ijfatigue.2022.106951
|View full text |Cite
|
Sign up to set email alerts
|

Probabilistic fatigue life analysis considering mean stress effects of fiber reinforced polymer (FRP) composites

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
4
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
7
1

Relationship

1
7

Authors

Journals

citations
Cited by 9 publications
(4 citation statements)
references
References 41 publications
0
4
0
Order By: Relevance
“…The materials withstand a large number of cycles, exceeding 10,000, at relatively low-stress levels (below 50% of UTS, respectively) without signs of failure. This indicates that the material has the potential for long-term reliability in low to moderate load structural applications involving cyclic loading [51,52].…”
Section: Fatigue Analysismentioning
confidence: 98%
“…The materials withstand a large number of cycles, exceeding 10,000, at relatively low-stress levels (below 50% of UTS, respectively) without signs of failure. This indicates that the material has the potential for long-term reliability in low to moderate load structural applications involving cyclic loading [51,52].…”
Section: Fatigue Analysismentioning
confidence: 98%
“…The Bayesian method based on Markov chain Monte Carlo (MCMC) is employed to sample the probability distribution. The detailed procedures can refer to [32].…”
Section: Probabilistic Analysis Of Fatigue Crack Propagation Ratementioning
confidence: 99%
“…The materials withstand a high number of cycles, in excess of 10,000, at relatively low stress levels with no signs of failure. This indicates that the material has the potential for long-term reliability in structural applications involving cyclic loading [35,36]. Figure 14 shows the fatigue test results, focusing on the failure modes at 60% fatigue life.…”
Section: Fatigue Analysismentioning
confidence: 99%