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research-article

On the Multiphysics Modeling of Surface Aging under Cathodic Protection

[+] Author and Article Information
John Michopoulos

Fellow of ASME, Computational Multiphysics Systems Laboratory, Center of Materials Physics and Technology, Naval Research Laboratory, Washington DC, 20375, USA
john.michopoulos@nrl.navy.mil

Athanasios P. Iliopoulos

Member of ASME, Computational Multiphysics Systems Laboratory, Center of Materials Physics and Technology, Naval Research Laboratory, Washington DC, 20375, USA
athanasios.iliopoulos@nrl.navy.mil

John Steuben

Member of ASME, Computational Multiphysics Systems Laboratory, Center of Materials Physics and Technology, Naval Research Laboratory, Washington DC, 20375, USA
john.steuben@nrl.navy.mil

Virginia DeGiorgi

Fellow of ASME, Multifunctional Materials Branch, Naval Research Laboratory, Washington DC, 20375, USA
virginia.degiorgi@nrl.navy.mil

1Corresponding author.

ASME doi:10.1115/1.4039311 History: Received October 14, 2017; Revised January 09, 2018

Abstract

In order to account and compensate for the dissipative processes contributing to the aging of cathodic surfaces protected by impressed current cathodic protection (ICCP) systems, it is necessary to develop the proper modeling and numerical infrastructure that can predict aging associated with quantities affecting the controller of these systems. In the present work we describe various approaches for developing Cathodic Surface Aging Models (CSAMs) based on both data-driven and first principles based methodologies. A computational ICCP framework is implemented in a manner that enables the simulation of the effects of cathodic aging in a manner that allows the utilization of various CSAMs that effect the relevant potentiodynamic polarization curves of the cathodic materials. An application of this framework demonstrates the capabilities of this system. We introduce a data-driven CSAM based on a loft-surface approximation, and in response to the limitations of this approach we also formulate a first principles based multiphysics and thermodynamic theory for aging. Furthermore, we discuss the design of a systematic experimental task for validating and calibrating this theory in the near future.

Copyright (c) 2018 by ASME
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