Date of Award

3-2023

Document Type

Thesis

Degree Name

Master of Science

Department

Department of Systems Engineering and Management

First Advisor

Christopher M. Chini, PhD

Abstract

Water distribution networks are of critical importance to provide uninterrupted services to a city. Not only do they provide potable drinking water to customers they also are used for fire services and other emergency support functions. By the year 2039, the United States’ drinking water investment gap is estimated to grow to $136 billion dollars. As the gap between available funding and funding required, being able to prioritize assets for investments is critical. Unfortunately, water distribution networks are typically managed reactively rather than proactively. This paper showcases a methodology for a proactive approach to asset management through the use of fragility curves in a risk-informed approach. Fragility curves are used to predict probability of failure given a specified stressor. By modeling fragility curves in Python’s Water Network Tool for Resilience (WNTR) package, users are able to identify pipes that are at the highest risk of failing before failure occurs.

AFIT Designator

AFIT-ENV-MS-23-M-240

Comments

A 12-month embargo was observed.

Approved for public release. Case number on file.

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