Prediction, Statistical Quantification and Mitigation of Extreme Events Caused by Exogenous Causes or Intrinsic Instabilities

Abstract

We propose an integrated program to develop rigorous theories and efficient algorithms for the prediction, quantification, prevention, and control of rare and extreme transient events, i.e., events characterized by small probability but big consequences. A plethora of dynamical systems in nature and engineering exhibit intermittent behavior in the form of rare/extreme events. These range from structural systems (random vibrations and fatiguecrack nucleation) [36,56] to nonlinear waves (water waves, optical waves, atmospheric waves) [1,9], fluids (flow separation, fluid-structure interactions) and large scale networks (transient resonances, cascades, etc) [16, 59].

Document Details

Document Type
DoD Grant Award
Publication Date
Jan 21, 2022
Source ID
FA95502110058XX0

Entities

People

  • Themistoklis Sapsis

Organizations

  • Air Force Office of Scientific Research
  • Massachusetts Institute of Technology
  • United States Air Force

Tags

Fields of Study

  • Physics

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Computational Fluid Dynamics (CFD)
  • Distributed Systems and Data Platform Development