Menu
Search
Filters
Close
Menu

Save 20% on select titles with code HIDDEN24 - Shop The Sale Now

Combination Of High Ph SCC And Near Neutral Ph SCC Models Using Bayesian Networks

Picture for Combination Of High Ph SCC And Near Neutral Ph SCC Models Using Bayesian Networks
Available for download

Environmentally Assisted Cracking (EAC) of gas transmission lines constitute about 2.6% of the total number of significant incidents recorded in the U.S. Pipeline and Hazardous Materials Administration (PHMSA) database [1]. For the hydrocarbon liquid pipelines, the EAC-related incidents constitute about 1%. Although Stress Corrosion Cracking (SCC) incidents are a relatively small percentage of significant incidents, it is important to predict the location and rate of growth of SCC because of the potential for catastrophic consequences from the growth of undetected cracks.

Product Number: 51322-17851-SG
Author: Francois Ayello, Guanlan Liu, Narasi Sridhar, Ramgopal Thodla
Publication Date: 2022
Industries: Cathodic Protection , Corrosion Monitoring and Control , Coatings and Linings , Coatings
$0.00
$20.00
$20.00

Stress corrosion cracking (SCC) continues to be a safety concern, mainly because it may remain
undetected before a major pipeline failure occurs. SCC processes involve complex interactions between metallurgy, stresses, and the electrolyte chemistry beneath the disbonded coating. For these reasons, assessing SCC failure probability at any given location on a pipeline is difficult. In addition, data uncertainties make the prediction of SCC even more challenging. The complex interactions of various seemingly unrelated parameters and varying mechanisms has been addressed using Bayesian network models. Two Bayesian network models have been created to predict both high pH and near neutral pH crack growth rates. This publication presents a new SCC model that combine the previous high pH and near-neutral pH SCC models.

Stress corrosion cracking (SCC) continues to be a safety concern, mainly because it may remain
undetected before a major pipeline failure occurs. SCC processes involve complex interactions between metallurgy, stresses, and the electrolyte chemistry beneath the disbonded coating. For these reasons, assessing SCC failure probability at any given location on a pipeline is difficult. In addition, data uncertainties make the prediction of SCC even more challenging. The complex interactions of various seemingly unrelated parameters and varying mechanisms has been addressed using Bayesian network models. Two Bayesian network models have been created to predict both high pH and near neutral pH crack growth rates. This publication presents a new SCC model that combine the previous high pH and near-neutral pH SCC models.

Product tags
Also Purchased
Picture for Coatings To Regulate Scaling In Geothermal Applications
Available for download

Coatings To Regulate Scaling In Geothermal Applications

Product Number: 51322-17547-SG
Author: Alexandre Sabard, Shiladitya Paul, Briony Holmes, Namrata Kale, Paolo Taddei Pardelli, Claretta Tempesti, Andrea Mannelli, Ural Halaçoğlu, Hakan Alp Sahiller, Raziye Şengün, Sylvie Rouge, Nadia Caney, Andri Stefansson, Per Kjellgren, , Jan Přikryl, Volkan Ediger, Gokhan Kirkil
Publication Date: 2022
$20.00

Geothermal Energy is currently engineered as an “always on” baseload supply, due to the limited flexibility to throttle the well without scaling and fatigue issues, and it is engineered for maximal efficiency at this output level. Scaling is a major problem in geothermal plants, particularly in cases where the geothermal fluid composition and plant operation make it difficult to control scaling. In such areas, particularly where scale inhibitors cannot be employed, the formation of scales can make the process less efficient and in extreme cases can lead to unexpected shutdown.
Cold Work Qualification of UNS N08935 for Use in Chloride and Sour environment
Available for download

Cold Work Qualification Of UNS N08935 For Use In Chloride And Sour Environment

Product Number: 51322-18080-SG
Author: Karen Picker, Luiza Esteves, Marcelo Senatore
Publication Date: 2022
$20.00

UNS N08935 is a new versatile super austenitic alloy with extreme pitting resistance as indicated by its pitting resistance equivalent number (PREN) of 52. It can be used in a broader temperature range than superduplex and hyperduplex stainless steels, offers good weldability and is more cost-effective than Nickel-based materials which make the grade a good candidate for O&G applications, refineries, and chemical industries.1,2
Coating Failure by Design
Available for download

Coating Failures By Design

Product Number: 51322-18164-SG
Author: Leonard Phelps, Ralf Leistikow
Publication Date: 2022
$20.00

Although the form and function of a well-designed building are important, it is the long-term performance and durability of a building and its components that will be important to the owner(s) and occupants. Therefore, during the design of buildings, the selection of the appropriate materials and understanding the long-term performance of the specified materials exposed to various site-specific environmental conditions is critical in avoiding the potential “failure by design”. The case study presented will focus on the coating failure by design, that could have been avoided by the original design and construction team and resulted in costly litigation and eventually the complete removal of a key architectural element on two high-rise condominium buildings located along the Florida coastline
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