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    <publishedYear>2025</publishedYear>
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    <volume>184</volume>
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    <publisherName>Elsevier</publisherName>
    <publisherPlace>Oxford</publisherPlace>
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    <title language="eng">Accelerated laboratory simulation of corrosion pit evolution in low-carbon steel using phase-field guided overpotential application</title>
    <abstract language="eng">This study is performed to replicate field data of pit geometry evolution in the laboratory by accelerating pit evolution through the application of relatively high overpotential on low-carbon steel. A phase-field model is used to reduce the number of trials and errors in the laboratory. The effect of overpotential on pitting corrosion is studied in low-carbon steel in the electrolyte representative of the North Sea. Based on the results obtained through the numerical model, potentiostatic polarisation tests are performed, and a comparison is made between such accelerated tests and steel coupons collected from the field. The results of this comparison suggest that the pitting corrosion acceleration mechanism effectively produces surface conditions closely resembling those of naturally pitted steel. Additionally, it enables the investigation of the electrochemical characteristics of a stable pit over long-term exposure, where direct probing is challenging. This framework strives to mitigate the excessive costs of time-consuming coupon experiments by correlating accelerated pitting corrosion in short periods of time with actual pitting corrosion observed over the long term.</abstract>
    <parentTitle language="eng">Engineering failure analysis</parentTitle>
    <identifier type="issn">1350-6307</identifier>
    <identifier type="doi">10.1016/j.engfailanal.2025.110352</identifier>
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    <enrichment key="date_peer_review">24.03.2026</enrichment>
    <author>F. Mehri Sofiani</author>
    <author>Somsubhro Chaudhuri</author>
    <author>S. A. Elahi</author>
    <author>E. Wallaert</author>
    <author>T. Depover</author>
    <author>W. De Waele</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Pitting corrosion</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Corrosion acceleration</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Potentiodynamic tests</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Phase-field</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>S355</value>
    </subject>
    <collection role="ddc" number="620">Ingenieurwissenschaften und zugeordnete Tätigkeiten</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.3 Thermografische Verfahren</collection>
    <collection role="themenfelder" number="">Material</collection>
    <collection role="themenfelder" number="">Degradationsmechanismen</collection>
    <collection role="literaturgattung" number="">Verlagsliteratur</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
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  <doc>
    <id>58284</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>27</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>127</volume>
    <type>article</type>
    <publisherName>Elsevier Ltd.</publisherName>
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    <title language="eng">Quantitative Analysis of the Correlation between Geometric Parameters of Pits and Stress Concentration Factors for a Plate Subject to Uniaxial Tensile Stress</title>
    <abstract language="eng">The offshore environment is inherently corrosive. Consequently, pits may nucleate on exposed steel surfaces. Corrosion pits can be a source of crack initiation when the structure is subject to fatigue loading. The criticality of a corrosion pit with respect to the structural integrity depends on its shape and size and can be quantified using a stress concentration factor (𝐾𝑡). In this work, a parametric 3D finite element model is developed to perform stress analysis of a pitted plate subjected to uniaxial tensile stress. The model is used for an extensive parameter study in which 𝐾𝑡 is determined for various pit configurations. It is demonstrated that each one of the geometrical parameters holds a substantial influence on the location of the Most Critical Region (MCR). It is shown that 𝐾𝑡 increases as the pit gets narrower. Pits with an elliptical mouth yield higher 𝐾𝑡 values when the angle between the load direction and the pit mouth major axis increases. Moreover, 𝐾𝑡 increases with the increase in the localized thickness loss which is more pronounced for relatively wider pits. Finally, a regression model is presented for estimating 𝐾𝑡 based on the geometric parameters of a pit.</abstract>
    <parentTitle language="eng">Theoretical and Applied Fracture Mechanics</parentTitle>
    <identifier type="issn">0167-8442</identifier>
    <identifier type="doi">10.1016/j.tafmec.2023.104081</identifier>
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    <enrichment key="date_peer_review">23.10.2023</enrichment>
    <author>F Mehri Sofiani</author>
    <author>Somsubhro Chaudhuri</author>
    <author>S.A. Elahi</author>
    <author>K. Hectors</author>
    <author>W. De Waele</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>FEM</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Corrosion</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>SCF</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Pitting corrosion</value>
    </subject>
    <collection role="ddc" number="621">Angewandte Physik</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.3 Thermografische Verfahren</collection>
    <collection role="themenfelder" number="">Energie</collection>
    <collection role="literaturgattung" number="">Verlagsliteratur</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
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  <doc>
    <id>60693</id>
    <completedYear/>
    <publishedYear>2024</publishedYear>
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    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>15</pageLast>
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    <edition/>
    <issue/>
    <volume>232</volume>
    <type>article</type>
    <publisherName>Elsevier Ltd.</publisherName>
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    <title language="eng">A hybrid probabilistic-deterministic framework for prediction of characteristic size of corrosion pits in low-carbon steel following long-term seawater exposure</title>
    <abstract language="eng">A hybrid deterministic-probabilistic framework is presented that combines in-situ measurements and numerical analysis to predict the characteristic size of corrosion pits over extended periods of exposure to seawater. A probabilistic model, informed by corrosion current density and temperature data, applies a sampling method to a range of overpotential values to reflect the surface deterioration in terms of pitting. The model is calibrated and validated with pit size data obtained from corroded coupons. Results reveal a positively skewed truncated lognormal distribution of pit depths which implies a higher prevalence of smaller pit depths, corroborated both experimentally and numerically.</abstract>
    <parentTitle language="eng">Corrosion Science</parentTitle>
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