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Recent Advances in Uncertainty Quantification Methods for Engineering Problems
Dinesh Kumar, Farid Ahmed, Shoaib Usman +2
In the last few decades, uncertainty quantification (UQ) methods have been used widely to ensure the robustness of engineering designs. This chapter aims to detail recent advances…
Surrogate Modeling-Driven Physics-Informed Multi-fidelity Kriging: Path Forward to Digital Twin Enabling Simulation for Accident Tolerant Fuel
Kazuma Kobayashi, James Daniell, Shoaib Usman +2
The Gaussian Process (GP)-based surrogate model has the inherent capability of capturing the anomaly arising from limited data, lack of data, missing data, and data inconsistencies…
Reliability-Based Robust Design Optimization Method for Engineering Systems with Uncertainty Quantification
Richa Verma, Dinesh Kumar, Kazuma Kobayashi +1
Robust optimization is a method for optimization under uncertainties in engineering systems and designs for applications ranging from aeronautics to nuclear. In a robust design pro…