4 papers
Sample correlation adjustments for robust Multi-fidelity Monte Carlo under limited pilot sampling
Michael Stanley, Thomas Coons, Geoffrey Bomarito +3
Multi-fidelity Monte Carlo (MFMC) is a variance reduction method that leverages a multi-fidelity ensemble of models of varying cost and accuracy levels. Constructing an MFMC estima…
Latent Generative Modeling of Random Fields from Limited Training Data
James E. Warner, Tristan A. Shah, Patrick E. Leser +3
The ability to accurately model random fields plays a critical role in science and engineering for problems involving uncertain, spatially-varying quantities such as heterogeneous…
Bond strength uncertainty quantification via confidence intervals for nondestructive evaluation of bonded composites
Michael C. Stanley, Peter W. Spaeth, James E. Warner +1
As bonded composite materials are used more frequently for aerospace applications, it is necessary to certify that parts achieve desired levels of certain physical characteristics…
Generative Modeling of Microweather Wind Velocities for Urban Air Mobility
Tristan A. Shah, Michael C. Stanley, James E. Warner
Motivated by the pursuit of safe, reliable, and weather-tolerant urban air mobility (UAM) solutions, this work proposes a generative modeling approach for characterizing microweath…