Presentation Type

Poster

Presentation Type

Submission

Keywords

complex networks, sensor data, structural health monitoring, betweenness centrality

Department

Mathematics

Major

Biology

Abstract

In 2013, the White House issued Presidential Policy Directive 21 (PPD-21) on Critical Infrastructure Security and Resilience to advance a nationally unified effort to ensure a secure, functioning, and resilient critical infrastructure. In 2017, US Senator Dianne Feinstein expressed her concern that inspections conducted on critical infrastructure may not adequately consider the safety consequences of increasingly extreme weather patterns linked to climate change or considerable seismic hazards. Engineers responded to these opportunities by updating surveillance and monitoring programs designed to capture actual infrastructure behavior during operations. While advances in modern instrumentation and computer technologies make it easier to acquire behavior during both normal and extreme operating conditions, interpreting the data for decision makers who ensure continued and safe infrastructure operations remains a challenge. Consequently, the need exists for the development of algorithms that can evaluate an infrastructure’s existing condition based on measurements acquired on the infrastructure during normal and extreme operations. Key to achieving this, however, is developing indicators that relate a monitoring location’s relative importance to conditions within the infrastructure.

This poster describes the development of a network centrality-based evaluation procedure to assess which measured responses of an infrastructure are the most critical for monitoring applications. The procedure is described and applied to a case study involving measured seismic responses acquired during an actual earthquake on an embankment dam. Results and implications are discussed within the context of the mathematical procedure as well as against engineering judgment.

Faculty Mentor

Dr. Christina Duron

Funding Source or Research Program

Academic Year Undergraduate Research Initiative

Location

Waves Cafeteria

Start Date

22-3-2024 1:30 PM

End Date

22-3-2024 2:30 PM

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Mar 22nd, 1:30 PM Mar 22nd, 2:30 PM

Network Evaluation of Influential Sensors: A Proposed Approach

Waves Cafeteria

In 2013, the White House issued Presidential Policy Directive 21 (PPD-21) on Critical Infrastructure Security and Resilience to advance a nationally unified effort to ensure a secure, functioning, and resilient critical infrastructure. In 2017, US Senator Dianne Feinstein expressed her concern that inspections conducted on critical infrastructure may not adequately consider the safety consequences of increasingly extreme weather patterns linked to climate change or considerable seismic hazards. Engineers responded to these opportunities by updating surveillance and monitoring programs designed to capture actual infrastructure behavior during operations. While advances in modern instrumentation and computer technologies make it easier to acquire behavior during both normal and extreme operating conditions, interpreting the data for decision makers who ensure continued and safe infrastructure operations remains a challenge. Consequently, the need exists for the development of algorithms that can evaluate an infrastructure’s existing condition based on measurements acquired on the infrastructure during normal and extreme operations. Key to achieving this, however, is developing indicators that relate a monitoring location’s relative importance to conditions within the infrastructure.

This poster describes the development of a network centrality-based evaluation procedure to assess which measured responses of an infrastructure are the most critical for monitoring applications. The procedure is described and applied to a case study involving measured seismic responses acquired during an actual earthquake on an embankment dam. Results and implications are discussed within the context of the mathematical procedure as well as against engineering judgment.

 

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