AN INNOVATIVE COMPUTATIONAL FRAMEWORK FOR COMPLEX DYNAMICS UNDER ROUGH NOISE
Abstract
Coupled multi-physics systems of interest to Air Force are subject to multiple sources of uncertainty and inherent random fluctuations at different correlation lengths. While progress on Uncertainty Quantification (UQ) has been substantial in the last two decades, the issue of small correlation length encountered in real applications in large domains is still an open and essential question. However, UQ with such rough noise is crucial to the manufacturing of modern aircraft, such as wings-flow interactions and the productions of composite materials. In this project, we develop a set of novel theories, algorithms and efficient computational frameworks to address the ssues of simulation with rough and white noise.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Aug 12, 2021
- Source ID
- FA95502010056
Entities
People
- Zhongqiang Zhang
Organizations
- Air Force Office of Scientific Research
- United States Air Force
- Worcester Polytechnic Institute