Tensile strength assessment of corroded small scale specimens

Garbatov, Y.; Soares, C. Guedes; Parunov, Joško; Kodvanj, Janoš

doi:10.1016/j.corsci.2014.04.031

Cited by 156 publications

(83 citation statements)

References 25 publications

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“…It has to be pointed out here that the DOD is not the only parameter that governs the strength reduction when the non-uniform corrosion is present, but also many other factors such as initial imperfection (Tekgoz et al 2012), boundary conditions and load effect (Garbatov et al 2011), corrosion plate surface roughness (Silva et al 2013), residual stresses (Tekgoz et al 2013a(Tekgoz et al , 2013b(Tekgoz et al , 2014 and material properties change (Garbatov et al 2014b) due to the corrosion degradation have an adverse effect on the ultimate strength.…”

Section: Numerical Analysismentioning

confidence: 98%

“…Before the test, the box girders were subjected to two pre-loading cycles to eliminate the existing residual stresses due to the welding process. This box girder has been tested to ultimate strength as reported in SaadEldeen et al (2011c) and specimens cut from them have been fatigue and tensile tested in Garbatov et al 2014aGarbatov et al , 2014b.…”

Section: Corroded Test Specimenmentioning

confidence: 99%

“…A comparison of the behaviour of three tested corroded box girder specimens was performed with respect to collapse modes, strain measurements, residual stresses, load-displacement relationship, moment-curvature relationship and the effect of different corrosion levels on structural integrity. Garbatov et al (2014b) performed tensile strength tests on small-scale corroded specimens, so as to derive their mechanical properties. The specimens were cut out of a box girder that was initially corroded in real seawater conditions.…”

Section: Introductionmentioning

confidence: 99%

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Experimental and numerical strength assessment of stiffened plates subjected to severe non-uniform corrosion degradation and compressive load

Garbatov

Tekgoz

Soares

2016

Ships and Offshore Structures

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The objective of this work is to investigate experimentally and numerically the severe non-uniform corrosion degradation effect on the load carrying capacity of stiffened plates. Eight stiffened plates, which are initially corroded in real open sea conditions with different corrosion degradation levels, have been tested under compressive load. Different factors leading to a reduction of structural capacity have been investigated, including the material properties, degree of degradation, equivalent thickness and testing support conditions. The experimental results also showed to be very close to those estimated by the existing guideline procedure for a numerical evaluation of the ultimate strength, adjusted to be used for the severe corroded stiffened plates.

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Section: Numerical Analysismentioning

confidence: 98%

Section: Corroded Test Specimenmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Experimental and numerical strength assessment of stiffened plates subjected to severe non-uniform corrosion degradation and compressive load

Garbatov

Tekgoz

Soares

2016

Ships and Offshore Structures

Self Cite

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“…Corroded box girders have been tested for ultimate strength, showing an important reduction of mechanical properties. Further analyses have been performed using the tensile test specimens that have been cut from corroded box girders [19]. The analysis of the results from specimens confirmed changes in mechanical properties of the corroded steel.…”

Section: Influence Of the Degradation Of Mechanical Propertiesmentioning

confidence: 99%

“…It is easy to observe that the main aging effect, reduction of the plate thickness, increases plate slenderness, while the modification of mechanical properties has contradictory effect, since the reduction of yield strength reduces, while reduction of modulus of elasticity increases plate slenderness [19].…”

Section: Impact Of Corrosion Degradation On the Collapse Strengthmentioning

confidence: 99%

Aging Effects on Ship Structural Integrity

Jurišić¹,

Parunov

Garbatov

2017

Brod

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SummaryThe most important degradation effects of ship structures are corrosion and fatigue cracks. Both of these aging effects have clear consequences of increasing the level of stresses and degrading the strength of ship structures for almost all relevant failure modes. This study presents an overview of some recent developments on the aging effects on the ship structural integrity. The analysis of the thickness measurements has been undertaken to improve understanding of the corrosion degradation phenomena and to develop prediction models of aging effects suitable for practical applications in the ship structural design and analysis. The study also deals with the application of the non-linear finite element analysis as a suitable tool for a collapse assessment of uniaxially loaded plates and stiffened panels of ship structures weakened by non-uniform corrosion degradation and fatigue cracks. Experimental studies have also been reviewed to better understand the recently found degradation of mechanical properties of corroded steel, while theoretical calculations have been performed to evaluate consequences of such degradation on the ship structural integrity.

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Classification of pitting corrosion damage in process facilities using supervised machine learning

Patel,

Aryai,

Arzaghi

et al. 2024

Can J Chem Eng

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Corrosion is widely known to be a major cause of the failures in process facilities. Prediction of corrosion damage is therefore essential for industries to manage the availability of their assets. This research aims to investigate the application of supervised machine learning methods for the classification of pitting corrosion damage. Several machine learning classifiers, namely ensemble methods, support vector machine (SVM), K‐nearest neighbours, and the decision tree are used to classify the extent of pitting corrosion damage in corroded steel samples. To simulate the corrosion of the steel samples, a series of laboratory experiments were conducted. After processing the results using appropriate statistical methods, the corrosion data was used to train the machine learning models. The trained models can predict the class of corrosion damage with acceptable accuracy using the material and environmental specifications of the samples. Additionally, a discussion on the selection of machine learning techniques which classify corrosion damage using a risk‐based approach is provided. With their optimal accuracy and lower risk of misclassification, the SVM and AdaBoost models perform better than the other studied models.

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Tensile strength assessment of corroded small scale specimens

Cited by 156 publications

References 25 publications

Experimental and numerical strength assessment of stiffened plates subjected to severe non-uniform corrosion degradation and compressive load

Experimental and numerical strength assessment of stiffened plates subjected to severe non-uniform corrosion degradation and compressive load

Aging Effects on Ship Structural Integrity

Classification of pitting corrosion damage in process facilities using supervised machine learning

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