Menu
Search
Filters
Close
Menu

Using a Computational Galvanic Model in a Fracture Mechanics Framework to Improve Material Degradation Prediction

Picture for Using a Computational Galvanic Model in a Fracture Mechanics Framework to Improve Material Degradation Prediction
Available for download
Product Number: 51321-16509-SG
Author: Robert Adey/ Andres Peratta/ John Baynham/ Thomas Curtin
Publication Date: 2021
$0.00
$20.00
$20.00

Although computational methods have been separately developed to predict corrosion and fatigue crack growth rates for metallic structures, challenges remain in implementing a methodology that considers the combined effects. In this work the output from a galvanic model is used to determine the spatial distribution of corrosion damage; providing a guide for the location of discrete corrosion damage features that can be analyzed using stress fields from structural models. In order to build confidence in this approach the galvanic models are validated by comparing predicted results to surface damage measurements from test specimens subject to ambient atmospheric exposure. There was good comparison between the predicted spatial distribution of corrosion damage and the measured surface damage profiles obtained from the galvanic test specimens. Following this exercise novel computational corrosion damage features were developed to represent simplified cracks shapes emanating from corrosion pits. Stress intensity factors (SIF) for these newly developed hybrid pit-crack features were determined and these solutions compared to cases where the pit is assumed to be an equivalent crack. The impact of the local, cavity induced stress field, on the SIF solutions is discussed. Building on these findings a fatigue crack growth simulation was performed using an initial flaw emanating from a hemispherical cavity (corrosion pit) located at the edge of hole in a plate. A reasonable comparison, of the predicted number of crack growth cycles, to available experimental test results was achieved.

Key words: Galvanic Corrosion, Atmospheric Exposure Measurements, Corrosion Pitting, Fracture Mechanics, Computational Modelling

Although computational methods have been separately developed to predict corrosion and fatigue crack growth rates for metallic structures, challenges remain in implementing a methodology that considers the combined effects. In this work the output from a galvanic model is used to determine the spatial distribution of corrosion damage; providing a guide for the location of discrete corrosion damage features that can be analyzed using stress fields from structural models. In order to build confidence in this approach the galvanic models are validated by comparing predicted results to surface damage measurements from test specimens subject to ambient atmospheric exposure. There was good comparison between the predicted spatial distribution of corrosion damage and the measured surface damage profiles obtained from the galvanic test specimens. Following this exercise novel computational corrosion damage features were developed to represent simplified cracks shapes emanating from corrosion pits. Stress intensity factors (SIF) for these newly developed hybrid pit-crack features were determined and these solutions compared to cases where the pit is assumed to be an equivalent crack. The impact of the local, cavity induced stress field, on the SIF solutions is discussed. Building on these findings a fatigue crack growth simulation was performed using an initial flaw emanating from a hemispherical cavity (corrosion pit) located at the edge of hole in a plate. A reasonable comparison, of the predicted number of crack growth cycles, to available experimental test results was achieved.

Key words: Galvanic Corrosion, Atmospheric Exposure Measurements, Corrosion Pitting, Fracture Mechanics, Computational Modelling

Product tags
Also Purchased
Picture for Using a Computational Galvanic Model in a Fracture Mechanics Framework to Improve Material Degradation Prediction
Available for download

Using a Computational Galvanic Model in a Fracture Mechanics Framework to Improve Material Degradation Prediction

Product Number: 51320-14646-SG
Author: Robert Adey, Andres Peratta, John Baynham, Thomas Curtin
Publication Date: 2020
$20.00

Although computational methods have been separately developed to predict corrosion and fatigue crack growth rates for metallic structures, challenges remain in implementing a methodology that considers the combined effects. In this work the output from a galvanic model is used to determine the spatial distribution of corrosion damage; providing a guide for the location of discrete corrosion damage features that can be analyzed using stress fields from structural models. In order to build confidence in this approach the galvanic models are validated by comparing predicted results to surface damage measurements from test specimens subject to ambient atmospheric exposure. There was good comparison between the predicted spatial distribution of corrosion damage and the measured surface damage profiles obtained from the galvanic test specimens. Following this exercise novel computational corrosion damage features were developed to represent simplified cracks shapes emanating from corrosion pits. Stress intensity factors (SIF) for these newly developed hybrid pit-crack features were determined and these solutions compared to cases where the pit is assumed to be an equivalent crack.  The impact of the local, cavity induced stress field, on the SIF solutions is discussed. Building on these findings a fatigue crack growth simulation was performed using an initial flaw emanating from a hemispherical cavity (corrosion pit) located at the edge of hole in a plate. A reasonable comparison, of the predicted number of crack growth cycles, to available experimental test results was achieved.
Picture for 98118 EFFECT OF FLOW VELOCITY ON CO2 CORROSION
Available for download

98118 EFFECT OF FLOW VELOCITY ON CO 2 CORROSION AND GALVANIC CORROSION BEHAVIOR IN OIL AND GAS ENVIRONMENTS

Product Number: 51300-98118-SG
ISBN: 98118 1998 CP
Author: H. Kaneta, T. Hara, H. Asahi
$20.00
Picture for The Stochastical approach applied to CO2 Corrosion Modeling
Available for download

51312-01463-The Stochastical approach applied to CO2 Corrosion Modeling

Product Number: 51312-01463-SG
ISBN: 01463 2012 CP
Author: Raymundo Case
Publication Date: 2012
$20.00
Categories
Industry
Recently viewed
Popular tags
View all

Association for Materials Protection and Performance

© AMPP All Rights Reserved.
Membership Terms of Content Use
Contact Customer Support