...Tianyuan Ji; Wuli Chu Accurate uncertainty quantification of compressor performance arising from blade geometric deviations is conducive to blade optimization design, blade error verification, etc. In order to investigate the impact of actual blade geometric deviations on compressor performance...

... and conclusions of the work are then summarized, including directions for future work. To address the issue of uncertainty quantification, Bayesian machine learning techniques are explored in this work to obtain probabilistic estimates of the flowfields at the exit of the injector orifice. First...

... = 5 N, CF = 6.6 kg) 1 Corresponding author. e-mail:  erhan.ferhatoglu@polito.it e-mail:  daniele.botto@polito.it e-mail:  stefano.zucca@polito.it 14 07 2022 24 07 2022 19 10 2022 nonlinear response nonunique friction forces uncertainty quantification...

...Richard Amankwa Adjei; Xinqian Zheng; Fangyuan Lou; Chuang Ding This paper presents a multifidelity optimization strategy for efficient uncertainty quantification and robust optimization applicable to turbomachinery blade design. The proposed strategy leverages freeform parameterization technique...

.... The novelty of this paper is that it regards performance degradation as an uncertainty quantification problem rather than a deterministic problem. The health indicator calibration method is validated on a natural gas compressor and a gas turbine. The results show that when severe degradation occurs...

... a response surface modeling applied to SOFC hybrid systems, but only for uncertainty quantification on the monitored outputs. This first study allowed to understand that RSM could be a valuable methodology to study such systems, when a large number of simulations would be needed [ 3 ]. Among the research...

..., the main sources and features of gas turbine geometric uncertainty are reviewed first. Then, the basic principles, characteristics, and application in gas turbines of different uncertainty quantification (UQ) methods are reviewed. Finally, the progress, challenges, and prospects for correlational research...

...Sajjad Yousefian; Gilles Bourque; Rory F. D. Monaghan Uncertainty quantification (UQ) is becoming an essential attribute for development of computational tools in gas turbine combustion systems. Prediction of emissions with a variety of gaseous fuels and uncertain conditions requires probabilistic...

... OWER . Manuscript received March 9, 2016; final manuscript received March 22, 2016; published online May 3, 2016. Editor: David Wisler. 09 03 2016 22 03 2016 Aerodynamics Centrifugal compressors Computational fluid dynamics Uncertainty quantification Centrifugal pumps...