Early corrosion monitoring of prestressed concrete piles using acoustic emission

2013 ◽  
Author(s):  
William Vélez ◽  
Fabio Matta ◽  
Paul H. Ziehl
Keyword(s):  
Acoustic Emission ◽  
Prestressed Concrete ◽  
Corrosion Monitoring ◽  
Concrete Piles

Acoustic emission diagnostics of corrosion monitoring in prestressed concrete using hidden Markov and semi-Markov models

2020 ◽  
pp. 147592172097693
Author(s):  
Brennan Dubuc ◽  
Konstantinos Sitaropoulos ◽  
Arvin Ebrahimkhanlou ◽  
Salvatore Salamone
Keyword(s):  
Acoustic Emission ◽  
Corrosion Rate ◽  
Hidden Markov Models ◽  
Prestressed Concrete ◽  
Markov Models ◽  
Hidden Markov ◽  
Accelerated Weathering ◽  
Corrosion Monitoring ◽  
Markov Modeling ◽  
Hidden Markov Modeling

This article presents a framework based on hidden Markov modeling for monitoring corrosion damage in prestressed concrete structures through acoustic emission measurements. Both hidden Markov models and hidden semi-Markov models are investigated to determine the merits of each under typical challenges encountered in real-world monitoring scenarios: an unknown initial corrosion condition and an uncertain corrosion rate. To enable hidden semi-Markov models to perform effectively, they are constructed using extended state hidden Markov models in a manner which is able to easily accommodate these scenarios. Furthermore, a framework is proposed for adopting frequency- and topological-based features of acoustic emission data as indicators of corrosion for the models. Accelerated corrosion tests were carried out on two prestressed concrete specimens; one specimen was used for training the models and the other one for testing. The testing specimen was additionally subjected to accelerated weathering to approximate certain conditions found in the field. A combination of established visual inspection, mass loss measurement, and acoustic emission activity analysis was first used to obtain a benchmark corrosion assessment of the specimens. Frequency- and topological-based acoustic emission features were then used as the basis of the hidden Markov modeling framework. The results demonstrate that both hidden Markov models and hidden semi-Markov models are highly reliable under an unknown initial condition. However, in these tests, the hidden semi-Markov model showed slightly greater reliability against error in the assumed corrosion rate. To improve accuracy in this scenario, a procedure for combining predictions from various candidate corrosion rates was also proposed. The diagnostics obtained from this work may provide useful information for established prognostic models of corrosion mechanisms in prestressed concrete.

scholarly journals Damage Evaluation of prestressed concrete-piles by acoustic emission.

2000 ◽  
pp. 133-141 ◽  
Author(s):  
Tomoki SHIOTANI ◽  
Mitsuhiro SHIGEISHI ◽  
Masayasu OHTSU
Keyword(s):  
Acoustic Emission ◽  
Prestressed Concrete ◽  
Damage Evaluation ◽  
Concrete Piles

Rational seismic design of precast, prestressed concrete piles

PCI Journal ◽  
2008 ◽  
Vol 53 (5) ◽  
pp. 40-53 ◽  
Author(s):  
Andrew Budek-Schmeisser ◽  
Gianmario Benzoni
Keyword(s):  
Seismic Design ◽  
Prestressed Concrete ◽  
Concrete Piles ◽  
Precast Prestressed Concrete

PRESTRESSED CONCRETE PILES

PCI Journal ◽  
1962 ◽  
Vol 7 (5) ◽  
pp. 46-55
Author(s):  
N. H. E. Weller
Keyword(s):  
Prestressed Concrete ◽  
Concrete Piles
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