Optimal sensor placement for corrosion induced thickness loss monitoring in ship structures

Silionis, Nicholas E.; Anyfantis, Konstantinos N.

doi:10.1016/j.marstruc.2023.103524

Cited by 3 publications

(1 citation statement)

References 37 publications

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“…Most structural systems currently in operation are exposed to some degree of corrosion deterioration; this is especially true for marine structures, which is the primary field of the authors. Despite recent interest in deploying SHM systems for CITL monitoring [17,[41][42][43], the naturally slow evolution of the phenomenon has constrained investigations to a numerical setting. In response to this, a novel testing procedure has been employed to achieve substantial CITL in a laboratory setting in a significantly accelerated timeframe, that is presented here for the first time.…”

Section: Accelerated Corrosion Under Three-point Bending Experimentsmentioning

confidence: 99%

On the Detection of Thickness Loss in Ship Hull Structures Through Strain Sensing

Silionis¹,

Anyfantis²

2022

Lecture Notes in Civil Engineering

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Fatigue crack growth is one of the most common types of deterioration in metal structures with significant implications on their reliability. Recent advances in Structural Health Monitoring (SHM) have motivated the use of structural response data to predict future crack growth under uncertainty, in order to enable a transition towards predictive maintenance. Accurately representing different sources of uncertainty in stochastic crack growth (SCG) processes is a non-trivial task. The present work builds on previous research on physics-based SCG modeling under both material and loadrelated uncertainty. The aim here is to construct computationally efficient, probabilistic surrogate models for SCG processes that successfully encode these different sources of uncertainty. An approach inspired by latent variable modeling is employed that utilizes Gaussian Process (GP) regression models to enable the surrogates to be used to generate prior distributions for different Bayesian SHM tasks as the application of interest. Implementation is carried out in a numerical setting and model performance is assessed for two fundamental crack SHM problems; namely crack length monitoring (damage quantification) and crack growth monitoring (damage prognosis).

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Section: Accelerated Corrosion Under Three-point Bending Experimentsmentioning

confidence: 99%

On the Detection of Thickness Loss in Ship Hull Structures Through Strain Sensing

Silionis¹,

Anyfantis²

2022

Lecture Notes in Civil Engineering

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On decision-theoretic model assessment for structural deterioration monitoring

Silionis,

Anyfantis

2025

Mechanical Systems and Signal Processing

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Study of the Microstructure and Mechanical Properties of Steel Grades for Ship Hull Construction

Imanian Ghazanlou,

Mobasher Amini,

Carrier

et al. 2024

Materials

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This paper comprehensively examines three structural steel grades’ microstructural features and mechanical properties, evaluating their suitability for shipbuilding applications. The steels analyzed include quench and tempered (Q and T) steel, thermomechanical controlled processed (TMCP) steel, and hot rolled (HR) steel. A microstructural characterization was performed using optical microscopy (OM), scanning electron microscopy (SEM), and electron backscatter diffraction (EBSD). The analysis was complemented by extensive mechanical testing including assessments of hardness, tensile, and Charpy impact tests across a range of temperatures. Additionally, corrosion behavior was evaluated using the potentiodynamic polarization test. The findings revealed that Q and T grade steel exhibited the most refined microstructure, characterized by a complex mixture of ferrite, tempered martensite, upper bainite, and Fe3C phases. In contrast, the TMCP grade steel demonstrated a balanced microstructure of polygonal ferrite and pearlite. Meanwhile, the HR grade steel contained polygonal ferrite and aligned pearlite. The tensile testing results demonstrated that the Q and T grade steel had superior hardness, yield strength (YS), and ultimate tensile strength (UTS), although it exhibited the lowest elongation % (El %). The TMCP grade steel met all ABS standards for marine steels, displaying optimal YS, UTS, and El %. Despite the superior YS of the HR grade steel, it did not meet the necessary criteria for UTS. Charpy impact tests revealed that the TMCP grade steel exhibited the highest impact energy absorption across a range of temperatures. As a result, the TMCP grade steel emerged as the optimal choice for ship construction, fulfilling all ABS requirements with a balanced combination of strength, ductility, and impact energy absorption. Additionally, the potentiodynamic polarization results revealed that the Q and T grade steel demonstrated the highest corrosion resistance. Following Q and T steel, the HR grade steel ranked second in corrosion resistance, with TMCP steel closely behind, showing only a slight difference.

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Optimal sensor placement for corrosion induced thickness loss monitoring in ship structures

Cited by 3 publications

References 37 publications

On the Detection of Thickness Loss in Ship Hull Structures Through Strain Sensing

On the Detection of Thickness Loss in Ship Hull Structures Through Strain Sensing

On decision-theoretic model assessment for structural deterioration monitoring

Study of the Microstructure and Mechanical Properties of Steel Grades for Ship Hull Construction

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