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Quantitative monitoring of pitting corrosion based on 3-D cellular automata and real-time ENA for RC structures

Qiao, Guofu / Hong, Yi / Ou, Jinping

A quantitative 3-D cellular automata (CA) prediction algorithm based on real-time electrochemical noise analysis (ENA) has been established for the pitting corrosion monitoring of reinforced concrete (RC) structures. The energy distribution ratio of wavelet energy spectroscopy (WES) has been used to drive a 3-D CA model to qualitatively predict the development of the corrosion pit. The EN characteristics of Q235 carbon steel in simulated concrete pore solutions (SCPS) have been investigated. Finally, the feasibility of the 3-D CA model (driven by the real-time ENA) has been verified by 3-D Ultra-depth Video Microscope experiments.

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Quantitative monitoring of pitting corrosion based on 3-D cellular automata and real-time ENA for RC structures

Qiao, Guofu / Hong, Yi / Ou, Jinping

A quantitative 3-D cellular automata (CA) prediction algorithm based on real-time electrochemical noise analysis (ENA) has been established for the pitting corrosion monitoring of reinforced concrete (RC) structures. The energy distribution ratio of wavelet energy spectroscopy (WES) has been used to drive a 3-D CA model to qualitatively predict the development of the corrosion pit. The EN characteristics of Q235 carbon steel in simulated concrete pore solutions (SCPS) have been investigated. Finally, the feasibility of the 3-D CA model (driven by the real-time ENA) has been verified by 3-D Ultra-depth Video Microscope experiments.

Quantitative monitoring of pitting corrosion based on 3-D cellular automata and real-time ENA for RC structures

Qiao, Guofu / Hong, Yi / Ou, Jinping

A quantitative 3-D cellular automata (CA) prediction algorithm based on real-time electrochemical noise analysis (ENA) has been established for the pitting corrosion monitoring of reinforced concrete (RC) structures. The energy distribution ratio of wavelet energy spectroscopy (WES) has been used to drive a 3-D CA model to qualitatively predict the development of the corrosion pit. The EN characteristics of Q235 carbon steel in simulated concrete pore solutions (SCPS) have been investigated. Finally, the feasibility of the 3-D CA model (driven by the real-time ENA) has been verified by 3-D Ultra-depth Video Microscope experiments.

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Title:

Quantitative monitoring of pitting corrosion based on 3-D cellular automata and real-time ENA for RC structures

Contributors:

Qiao, Guofu (author) / Hong, Yi (author) / Ou, Jinping (author)

Published in:

Measurement ; 53 ; 270-276

Publication date:

2014

Size:

7 Seiten, 29 Quellen

ISSN:

DOI:

https://doi.org/10.1016/j.measurement.2014.03.045

Type of media:

Article (Journal)

Type of material:

Print

Language:

English

Keywords:

Stahlbetonbau , Korrosionsüberwachung , Lochfraßkorrosion , Korrosion , Energieverteilung , Videomikroskop , Prädiktion , Spektroskopie , bewehrter Beton , Kohlenstoffstahl , Korrosionsnarbe , Porenlösung , elektrochemisches Rauschen , Algorithmus

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