2019
DOI: 10.1016/j.applthermaleng.2018.11.072
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Probabilistic CFD computations of gas turbine vane under uncertain operational conditions

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Cited by 28 publications
(3 citation statements)
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“…During the above investigations, the disperse characteristics of fatigue life were sufficiently studied, laying the groundwork for fatigue reliability degree assessment. However, few works simultaneously consider the multiple uncertainties like load fluctuations [28][29][30][31], material variabilities [32][33][34][35] and model uncertainties [36][37][38][39], which disrupts the correlations between multisource uncertainties and therefore causes significant computational discrepancies in fatigue reliability assessment [40][41][42]. To consider multisource uncertainties in anti-fatigue design, various probabilistic analysis techniques are widely applied.…”
Section: Mcsmentioning
confidence: 99%
“…During the above investigations, the disperse characteristics of fatigue life were sufficiently studied, laying the groundwork for fatigue reliability degree assessment. However, few works simultaneously consider the multiple uncertainties like load fluctuations [28][29][30][31], material variabilities [32][33][34][35] and model uncertainties [36][37][38][39], which disrupts the correlations between multisource uncertainties and therefore causes significant computational discrepancies in fatigue reliability assessment [40][41][42]. To consider multisource uncertainties in anti-fatigue design, various probabilistic analysis techniques are widely applied.…”
Section: Mcsmentioning
confidence: 99%
“…The Ishigami function, originally formulated in [59], is often employed as a benchmark for UQ codes [21,[60][61][62][63]. The function has expression sin(x 1 ) + asin 2 (x 2 ) + bx 4 3 sin(x 1 ),…”
Section: Ishigamimentioning
confidence: 99%
“…Parsi et al 14 developed a probabilistic model for predicting the dynamic contact force of honeycomb structures subjected to impacts at low velocities. Probabilistic methods have also been used in analysis and design in many engineering fields, such as vibrations, [15][16][17][18] fracture mechanics, [19][20][21][22] computational fluid mechanics, 23,24 and structural stability. 25,26 A stochastic/probabilistic analysis represents each imprecise parameter as a random variable that follows a specific probability distribution.…”
Section: Introductionmentioning
confidence: 99%