Hierarchical Reduced Order Modeling of Nuclear Weapons Electromagnetic Effects for Networked Infrastructure System Analysis

Abstract

Nuclear weapons produce electromagnetic pulse (EMP) effects detrimental to the operation of electrical and electronic systems over a wide geographical area. This research effort seeks to develop and assess new reduced-order modeling approaches that can aid in capturing nuclear weapon effects for different levels of analysis of networked infrastructure systems. The proposed reduced-order methodology will be based on a hierarchical modeling framework consisting of three interacting layers, namely the physical layer that models responses and interactions between EMP and individual devices, the aggregate layer that captures the aggregate impact on a collection of devices within the vicinity, and the network layer that models the propagation of local device damages through networks. Different model-order reduction methods will be investigated and developed for each layer with appropriate approximation level. Through interactions between different modeling layers, the proposed hierarchical framework offers a scalable and efficient way to capture the spatiotemporal dynamics of nuclear detonation effects on with adjustable level of accuracy, enabling different types of system level analysis.

Document Details

Document Type
DoD Grant Award
Publication Date
Jul 16, 2019
Source ID
HDTRA11810050

Entities

People

  • Fernando Teixeira

Organizations

  • Defense Threat Reduction Agency
  • Ohio State University

Tags

Fields of Study

  • Physics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computational Fluid Dynamics (CFD)
  • Computer Networking

Technology Areas

  • Microelectronics