THERMAL management systems are an important consideration in modern aerospace
engineering. Managing the maximum heat load at the fluid–solid interface is necessary in …

Compressed air energy storage systems must promptly adapt to power network demand
fluctuations, necessitating a high surge margin in the compression system to ensure safety. It …

The use of uncertainty quantification and machine learning platforms in ensuring the
robustness of small modular reactor (or popularly known as SMR) core design is rare. Most …

One of the key enablers of valued early decision-making in composite material designs is
the ability to account for different aspects/scale of uncertainties within models and design …

The aim of the current paper is the robust optimization of an internally cooled gas turbine
vane by increasing the cooling performance and decreasing the sensitivity of the …

To increase the contribution and reliability of computational fluid dynamics efforts in design
process of industrial equipments, it is necessary to quantify the effects of uncertainties on the …

In this work, a new multifidelity (MF) uncertainty quantification (UQ) framework is presented
and applied to the LS89 nozzle modified by fouling. Geometrical uncertainties significantly …

In this paper uncertainty quantification of turbulent flow and heat transfer through ribbed
channels of gas turbine blades is presented and discussed. The uncertainty quantification …

This paper presents a numerical study of the impact of tip gap uncertainties in a multistage
turbine. It is well known that the rotor gap can change the gas turbine efficiency, but the …

This work newly proposes an uncertainty quantification (UQ) method named sparse
approximation of moment-based arbitrary polynomial chaos (SAMBA PC) that offers a single …