"Quantifying Resilience and Redundancy for Air Force Linear Infrastruct" by Ryan C. Jakovich

Date of Award

3-2024

Document Type

Thesis

Degree Name

Master of Science in Engineering Management

Department

Department of Systems Engineering and Management

First Advisor

Benjamin R. Knost, PhD

Abstract

The historical underfunding of USAF infrastructure necessitates a strategic approach to reduce excess infrastructure while preserving resilience in the face of potential first-strike scenarios. This thesis formulates an infrastructure resilience metric that assesses network performance under varying degrees of damage. Furthermore, the study calculates the impact of redundant infrastructure by introducing added structural elements and measuring the resultant reduction in performance loss during damage scenarios. Utilizing USAF geospatial infrastructure data, adjacency matrices representing graph theory networks were constructed in Arc GIS Pro and evaluated using coding languages from the IGraph library and algorithms developed in RStudio. The newly proposed performance metric undergoes comparative analysis with several commonly used network topology resilience metrics, aiming to identify similarities and potential benefits. The investigation revealed a robust and significant correlation of 0.653 between the newly developed metric and known network characteristics. Additionally, the study demonstrates a measure to gauge the redundancy levels of each network and determine overall resistance to infrastructure loss. Moreover, the research highlights that the addition of a single redundancy to a network resulted in an average decrease in lost performance of 2%. These findings contribute valuable insights to the enhancement of USAF infrastructure resilience assessment strategies.

AFIT Designator

AFIT-ENV-MS-24-M-134

Comments

A 12-month embargo was observed for posting this work on AFIT Scholar.

Distribution Statement A, Approved for Public Release. PA case number on file.

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