Abstract

This project aimed to develop and evaluate two statistical methods for determining the probability of detection (POD) in corrosion monitoring using Fe–C coated long-period fiber grating (LPFG) sensors. These methods, referred to as the Size-of-Damage-at-Detection (SODAD) method and the Random Parameter Model (RPM), addressed limitations in traditional POD models by considering the time dependency inherent in sensor data. The goal was to assess steel mass loss at 90% detection probability and establish the largest undetectable mass loss threshold at a 95% lower confidence bound. Both methods were assessed for computational efficiency, sensitivity to distribution assumptions, and robustness under varying model conditions. The more effective approach was recommended for real-world corrosion monitoring applications. To achieve the project objectives, three primary tasks were executed. First, LPFG sensors were fabricated and subjected to corrosion tests in controlled environments to simulate real-world application conditions in steel reinforced concrete structures. Second, the proposed statistical methods were validated by experimental results, determining mass loss levels with 90% POD at a 95% confidence level. Finally, a comparative analysis was conducted to evaluate data requirements, computational efficiency, distribution sensitivity, and robustness of the SODAD and RPM methods, ensuring practical applicability for structural health monitoring.

Department(s)

Civil, Architectural and Environmental Engineering

Research Center/Lab(s)

INSPIRE - University Transportation Center

Sponsor(s)

Office of the Assistant Secretary for Research and Technology U.S. Department of Transportation 1200 New Jersey Avenue, SE Washington, DC 20590

Comments

Principal Investigator: Genda Chen, Ph. D., P. E.

Grant #: USDOT # 69A3551747126

Grant Period: 11/30/2016 - 09/30/2024

Project Period: 01/01/2020 - 09/30/2024

The investigation was conducted under the auspices of the INSPIRE University Transportation Center.

Keywords and Phrases

Probability of detection, long-period fiber gratings, corrosion sensors, mass loss at detection, random effects

Report Number

INSPIRE-026

Document Type

Technical Report

Document Version

Final Version

File Type

text

Language(s)

English

Rights

© 2025 Missouri University of Science and Technology, All rights reserved.

Publication Date

September 30, 2024

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