Research Papers: Structures and Safety Reliability

Spatial Corrosion Wastage Modeling of Steel Plates Exposed to Marine Environments

[+] Author and Article Information
Yordan Garbatov

Centre for Marine Technology and
Ocean Engineering (CENTEC),
Instituto Superior Técnico,
Universidade de Lisboa,
Av. Rovisco Pais,
Lisboa 1049-001, Portugal
e-mail: yordan.garbatov@centec.tecnico.ulisboa.pt

C. Guedes Soares

Fellow ASME
Centre for Marine Technology and
Ocean Engineering (CENTEC),
Instituto Superior Técnico,
Universidade de Lisboa,
Av. Rovisco Pais,
Lisboa 1049-001, Portugal
e-mail: c.guedes.soares@centec.tecnico.ulisboa.pt

1Corresponding author.

Contributed by the Ocean, Offshore, and Arctic Engineering Division of ASME for publication in the JOURNAL OF OFFSHORE MECHANICS AND ARCTIC ENGINEERING. Manuscript received February 10, 2018; final manuscript received July 18, 2018; published online January 17, 2019. Assoc. Editor: Jonas W. Ringsberg.

J. Offshore Mech. Arct. Eng 141(3), 031602 (Jan 17, 2019) (6 pages) Paper No: OMAE-18-1014; doi: 10.1115/1.4041991 History: Received February 10, 2018; Revised July 18, 2018

The objective of the present study is to identify the most suitable corrosion degradation model, fitted with real corrosion depth measurement data sets and to reproduce the corroded steel plate surface as a function of time and spatial distribution using advanced statistical methods. An approach for adequately identifying the best-fitted model to real corrosion depth measurement data sets is employed. Two distinct statistical methods for generating a statistical representation of a corroded plate surface in the case of significant and insignificant correlation of the corrosion degradation are provided. A sequence-dependent data analysis is performed based on the fast Fourier transform, which is used as an input for a random field modeling of corroded steel plate surfaces. The output of this study represents very important information about the corroded plate surface topology that can be used in any advanced finite element analyses of structural integrity assessment. The formulations can be adapted to any structural components and corrosion environments.

Copyright © 2019 by ASME
Topics: Corrosion , Steel , Modeling
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Grahic Jump Location
Fig. 1

Histogram of observed (measured) (left) and mean corrosion thickness

Grahic Jump Location
Fig. 2

Corroded plate surface, at 15th year, three-dimensional (3D) view (left) and two-dimesional (2D) view (right)

Grahic Jump Location
Fig. 3

Corroded plate surface at t = 15 yr, 3D (left) and 2D (right)

Grahic Jump Location
Fig. 4

Corrosion depth scatter around the mean value in the x-direction (left) and y-direction (right)

Grahic Jump Location
Fig. 5

Autocorrelation function, x-record (left) and y-record (right)

Grahic Jump Location
Fig. 6

Corroded plate surface, E[dcp(t)] = 9.75 mm, t = 15 yr, 3D view (left) and 2D view (right)



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