Bayesian model evaluation of three k–ω turbulence models for hypersonic shock wave–boundary layer interaction flows
J Li, F Zeng, S Chen, K Zhang, C Yan - Acta Astronautica, 2021 - Elsevier
Shock wave–boundary layer interaction (SWBLI) is one of the most prevalent challenges in
the field of fluid mechanics. Excessive interaction may lead to strong flow separation, which …
the field of fluid mechanics. Excessive interaction may lead to strong flow separation, which …
Accelerated basis adaptation in homogeneous chaos spaces
Polynomial chaos expansions (PCE) provide an efficient approach to uncertainty
quantification (UQ) and have been adapted to diverse applications across the spectrum of …
quantification (UQ) and have been adapted to diverse applications across the spectrum of …
Investigations on turbulence model uncertainty for hypersonic shock-wave/boundary-layer interaction flows
J Li, FZ Zeng, ZH Jiang, Y Li, C Yan - AIAA Journal, 2022 - arc.aiaa.org
Shock-wave/boundary-layer interaction (SWBLI) is a fundamental scientific problem that
restricts the breakthrough of high-speed flight technology. Owing to the complex shock …
restricts the breakthrough of high-speed flight technology. Owing to the complex shock …
Uncertainty Quantification in high-density fluid radial-inflow turbines for renewable low-grade temperature cycles
The inclusion of uncertainties in the design of turbines for renewable low-grade temperature
power cycles is becoming a crucial aspect in the development of robust and reliable power …
power cycles is becoming a crucial aspect in the development of robust and reliable power …
Sensitivity-informed bayesian inference for home PLC network models with unknown parameters
Bayesian inference is used to calibrate a bottom-up home PLC network model with unknown
loads and wires at frequencies up to 30 MHz. A network topology with over 50 parameters is …
loads and wires at frequencies up to 30 MHz. A network topology with over 50 parameters is …
Sparse spectral surrogate models for deterministic and stochastic computer simulations
N Lüthen - 2022 - research-collection.ethz.ch
Computer simulations are an invaluable tool for modeling and investigating real-world
phenomena and processes. However, as any model, simulations are affected by uncertainty …
phenomena and processes. However, as any model, simulations are affected by uncertainty …
Towards Hybrid Quantum-Classical Ciphersuite Primitives
HS Jacinto - 2020 - scholarworks.boisestate.edu
With the dawn of quantum computing in scale, current secure classical primitives are at risk.
Protocols with immediate risk of breach are those built on the advanced encryption standard …
Protocols with immediate risk of breach are those built on the advanced encryption standard …