The Point-Collocation Non-Intrusive Polynomial Chaos (NIPC) method utilizing Euler CFD simulations has been applied to the stochastic analysis of a pressure probe designed for Mach number measurements in three-dimensional supersonic flows with moderate swirl. The probe is in the shape of a truncated cone with a flat nose opening for total pressure measurement and includes four holes on the cone surface for static pressure measurements. The present stochastic CFD study is performed to provide information for further refinement of the supersonic pressure probe design in the presence of geometric uncertainties and to quantify the variation in the pressure measurements and the Mach number due to the uncertainty in the cone angle, the nose dia...
The Point Collocation Non-Intrusive Polynomial Chaos (NIPC) method was applied to a stochastic synth...
The objective of this study was to introduce a combined sparse sampling and stochastic expansion app...
This paper offers an uncertainty quantification (UQ) study applied to the performance analysis of th...
The Point-Collocation Non-Intrusive Polynomial Chaos (NIPC) method utilizing Euler CFD simulations h...
The Point-Collocation Non-Intrusive Polynomial Chaos (NIPC) method utilizing Euler CFD simulations h...
Total and static pressures are vital measurements in any supersonic experiment. By measuring these t...
Total and static pressures are vital measurements in any supersonic experiment. By measuring these t...
Total and static pressures are vital measurements in any supersonic experiment. By measuring these ...
This paper examines uncertainty quantification in computational fluid dynamics (CFD) with non-intrus...
An inexpensive non-intrusive polynomial chaos (NIPC) method for the propagation of input uncertainty...
This paper describes a point-collocation nonintrusive polynomial chaos technique used for uncertaint...
The Point Collocation Non-Intrusive Polynomial Chaos (NIPC) method has been applied to two stochasti...
The Point-Collocation Non-intrusive Polynomial Chaos (NIPC) method has been applied to a stochastic ...
The uncertainties can generate fluctuations with aerodynamic characteristics. Uncertainty Quantifica...
The NASA Rotor 37 is investigated in a probabilistic framework accounting for the presence of many g...
The Point Collocation Non-Intrusive Polynomial Chaos (NIPC) method was applied to a stochastic synth...
The objective of this study was to introduce a combined sparse sampling and stochastic expansion app...
This paper offers an uncertainty quantification (UQ) study applied to the performance analysis of th...
The Point-Collocation Non-Intrusive Polynomial Chaos (NIPC) method utilizing Euler CFD simulations h...
The Point-Collocation Non-Intrusive Polynomial Chaos (NIPC) method utilizing Euler CFD simulations h...
Total and static pressures are vital measurements in any supersonic experiment. By measuring these t...
Total and static pressures are vital measurements in any supersonic experiment. By measuring these t...
Total and static pressures are vital measurements in any supersonic experiment. By measuring these ...
This paper examines uncertainty quantification in computational fluid dynamics (CFD) with non-intrus...
An inexpensive non-intrusive polynomial chaos (NIPC) method for the propagation of input uncertainty...
This paper describes a point-collocation nonintrusive polynomial chaos technique used for uncertaint...
The Point Collocation Non-Intrusive Polynomial Chaos (NIPC) method has been applied to two stochasti...
The Point-Collocation Non-intrusive Polynomial Chaos (NIPC) method has been applied to a stochastic ...
The uncertainties can generate fluctuations with aerodynamic characteristics. Uncertainty Quantifica...
The NASA Rotor 37 is investigated in a probabilistic framework accounting for the presence of many g...
The Point Collocation Non-Intrusive Polynomial Chaos (NIPC) method was applied to a stochastic synth...
The objective of this study was to introduce a combined sparse sampling and stochastic expansion app...
This paper offers an uncertainty quantification (UQ) study applied to the performance analysis of th...