Efficient modeling of uncertainty introduced by the manufacturing process is critical in the
design of turbine engine components. In this study, a stochastic multiscale modeling …

Efficient modeling of uncertainty introduced by the manufacturing process is critical in the
design of the components of the aircraft engines. In this study, a stochastic approach is …

A common strategy to handle simulation-based uncertainty quantification problems is
adopting a metamodel to replace time-demanding calculations such as computational fluid …

The gas turbine engine is a widely used thermodynamic system for aircraft. The demand for
quantifying the uncertainty of engine performance is increasing due to the expectation of …

An uncertainty quantification and validation framework is presented to account for both
aleatory and epistemic uncertainties in stochastic simulations of turbine engine components …

The objective existence of uncertain operating conditions can cause significant variations in
the aerodynamic performance of turbomachinery. This study presents a comprehensive …

To support effective decision making, engineers should comprehend and manage various
uncertainties throughout the design process. Unfortunately, in today's modern systems …

In this work we propose, analyze, and demonstrate an adjoint‐based multilevel multifidelity
Monte Carlo (MLMF) framework called FastUQ. The framework is based on the MLMF of …

Product modeling has been applied in product engineering with success for geometric
representation. With the application of multidisciplinary analysis, application‐driven models …

The importance of uncertainty has been recognized in various modeling, simulation, and
analysis applications, where inherent assumptions and simplifications affect the accuracy of …