Doctoral Dissertations

Keywords and Phrases

Corrosion sensors; Optical fiber sensors; Probability of detection; Structural health monitoring

Abstract

"Graphene-based, Fe-C coated long-period fiber grating (LPFG) sensors individually reveal a causal relation between LPFG wavelength change and Fe-C mass loss. Their correlation parameters vary significantly between the sensors mainly because hydrophobic multilayer graphene and graphene oxide make sensor fabrication inconsistent. This study explores MXene-based, Fe-C coated LPFG sensors due to MXene’s inherent hydrophilic property in the presence of surface functional groups such as hydroxyl and oxygen and the probability of detection (POD) for mass loss from Fe-C coated LPFG sensors when deployed at a fixed location. A novel fabrication process incorporating Piranha solution pretreatment is proposed to ensure uniform MXene coating and robust sensor functionality. The Fe-C coated LPFG sensors were evaluated under natural and accelerated corrosion conditions with temperature compensation. Due to high conductivity, mechanical stability, and chemical sensitivity, MXene-based corrosion sensors revealed more consistent wavelength-mass correlations than graphene-based sensors. When encapsulated in several coaxial steel tubes with corrosion-related material properties comparable to Fe-C’s composition, a set of MXene-based, Fe-C coated LPFG sensors provided long-term corrosion monitoring. In this case, the Fe-C coated LPFG sensors were for corrosion rate measurement in days while the outside steel tubes were for corrosion thresholds in years. By integrating maximum likelihood estimation and Bayesian inference, the POD analyses demonstrated the robustness and sensitivity of corrosion sensors under diverse application conditions. The POD method was extended to analyze strain gauge measurements for the detection of uncertain yield points in steel sheets"-- Abstract, p. iii

Advisor(s)

Chen, Genda

Committee Member(s)

Wu, Chenglin
Yan, Guirong Grace
ElGawady, Mohamed
Brow, Richard K.

Department(s)

Civil, Architectural and Environmental Engineering

Degree Name

Ph. D. in Civil Engineering

Publisher

Missouri University of Science and Technology

Publication Date

2026

Pagination

xv, 157 pages

Note about bibliography

Includes_bibliographical_references_(pages 144-156)

Rights

© 2025 Ying Zhuo , All Rights Reserved

Document Type

Dissertation - Open Access

File Type

text

Language

English

Thesis Number

T 12640

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