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10231 Probability-Based Corrosion Control for High Level Waste Tanks

Picture for 10231 Probability-Based Corrosion Control for High Level Waste Tanks
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Product Number: 51300-10231-SG
ISBN: 10231 2010 CP
Author: Elizabeth N. Hoffman, Philip E. Zapp, Bruce J. Wiersma, Thomas B. Edwards
Publication Date: 2010
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$20.00
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Controls on the solution chemistry are in place to prevent the initiation and propagation of pitting and stress corrosion cracking in high level waste (HLW) tanks. These controls are based upon a series of experiments performed using solutions that simulate waste tank conditions on materials used for construction of the tanks, namely ASTM A537 carbon steel (A537). An experimental program was undertaken to investigate the risk associated with reducing the minimum nitrite concentration required to confidently inhibit pitting in dilute solutions. Electrochemical and coupon testing were performed within the framework of the statistical test matrix to determine the pitting propensity associated with inhibitor concentrations. A mixture/amount model has been identified as a valid model based on statistical analysis of recent and historically collected electrochemical data; the model divides the nitrate/nitrite concentration space into regions of probable and unlikely pitting. Understanding the probability for pitting will allow the facility to make tank-specific risk-based decisions for chemistry control.
Controls on the solution chemistry are in place to prevent the initiation and propagation of pitting and stress corrosion cracking in high level waste (HLW) tanks. These controls are based upon a series of experiments performed using solutions that simulate waste tank conditions on materials used for construction of the tanks, namely ASTM A537 carbon steel (A537). An experimental program was undertaken to investigate the risk associated with reducing the minimum nitrite concentration required to confidently inhibit pitting in dilute solutions. Electrochemical and coupon testing were performed within the framework of the statistical test matrix to determine the pitting propensity associated with inhibitor concentrations. A mixture/amount model has been identified as a valid model based on statistical analysis of recent and historically collected electrochemical data; the model divides the nitrate/nitrite concentration space into regions of probable and unlikely pitting. Understanding the probability for pitting will allow the facility to make tank-specific risk-based decisions for chemistry control.
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