2023
DOI: 10.1007/s13349-022-00658-1
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Structural health monitoring and fatigue life reliability assessment of a flexible structure in extreme wind

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Cited by 3 publications
(2 citation statements)
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“…This approach enabled accounting for the uncertainty in the monitored responses. Tsai and Alipour [187] monitored a cantilever traffic signal structure under different wind conditions. They proposed a data-driven algorithm for wind-excited structures based on the long-term monitoring data of this structure.…”
Section: Windmentioning
confidence: 99%
“…This approach enabled accounting for the uncertainty in the monitored responses. Tsai and Alipour [187] monitored a cantilever traffic signal structure under different wind conditions. They proposed a data-driven algorithm for wind-excited structures based on the long-term monitoring data of this structure.…”
Section: Windmentioning
confidence: 99%
“…Wang et al [18] proposed a reliability analysis method based on a dynamic Bayesian network using the Monte Carlo simulation to evaluate the failure probability of subsea wellhead connectors during their service life. Tsai et al [19] considered wind speed probability, fatigue strength of mast arm base, miner summation, and other uncertain factors to perform the Monte Carlo simulation and generate failure probability curve. Simon et al [20] described a verification method for subsea pipeline maintenance to confirm that the product design meets DNV standards.…”
Section: Introductionmentioning
confidence: 99%