Search
Filters
Close

Online Conference Paper

View as
Sort by
Display per page
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 Using Robotic Inspection for Flare System to Avoid Plant Shutdown
Available for download

Using Robotic Inspection for Flare System to Avoid Plant Shutdown

Product Number: MPWT19-14300
Author: Amro Hassanein
Publication Date: 2019
$0.00

From day to day, Robots advance from testing in labs to operating in the outside world. The
industrial application of Robotic technologies continually increases, providing unique solutions for
different challenges. Flare System is an important and critical equipment required for continuous
safe operations for any petrochemical plant addressing proper burning of excess hydrocarbon
gases, unusable gases which cannot be recovered or recycled, and gas flaring protects against
the dangers of over-pressure. This paper discusses the different types of robotic inspection,
advantages, and limitations based on actual site demonstrations. As an innovative case, here to
introduce actual business case for close aerial inspection and surveying technique to avoid
polyethylene plant shutdown and providing a reliable inspection technique for on-stream integrity
evaluation for the flare tip. Drones, formally known as unmanned aerial vehicles (UAVs), are a
flying robot that can be remotely controlled, and offer an innovative inspection method launched
between 2006-2008 for Engineering professional aerial inspection and surveying using Remotely
Operated Aerial Vehicles (ROAVs). The visual inspection detection accuracy of (ROAV) offer
higher than the normal visual inspection and easily approach all the flare structure from four
directions. Drone inspection cost is competitive considering the cost of maintenance to dismantle
the flare tip. Drone inspection can be used to assess the elevated flare parts for any seriously
damage in order to define a clear maintenance scope ahead of shutdown.