Optimizing Ship Structural Integrity Management: Opportunistic Maintenance with Corrosion Prediction

This paper presents a novel Opportunistic Maintenance Cost and Risk Optimization (OMCRO) framework, designed to optimize maintenance decisions. The framework integrates economic and reliability considerations, leveraging an opportunistic repair grouping process as a payoff for quantitative risk reduction. Specifically, it is applied in this work to address the structural integrity management of ships, considering probabilistic corrosion models. Through metaheuristic optimization, it seeks a good trade-off between operational risks and repair costs, providing clear guidance for stakeholders on what, when, and where to survey and repair, as well as understanding the associated costs and risks. Simulation results demonstrate the framework’s efficacy in aligning with industry standards while offering valuable insights for academia, engineers, surveyors, shipyards, Classification Societies, and asset managers involved in ship structural integrity management.

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Publication Details

Journal
SNAME Maritime Convention
Published
2024-09-09
DOI
https://doi.org/10.5957/smc-2024-031
Primary Topic
Structural Integrity and Reliability Analysis
Type
article
Field-Weighted Citation Impact
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article

Optimizing Ship Structural Integrity Management: Opportunistic Maintenance with Corrosion Prediction

Joao Casares, Nickolas Vlahopoulos
SNAME Maritime Convention
Structural Integrity and Reliability Analysis
article

Optimizing Ship Structural Integrity Management: Opportunistic Maintenance with Corrosion Prediction

Joao Casares, Nickolas Vlahopoulos
article en

Abstract

This paper presents a novel Opportunistic Maintenance Cost and Risk Optimization (OMCRO) framework, designed to optimize maintenance decisions. The framework integrates economic and reliability considerations, leveraging an opportunistic repair grouping process as a payoff for quantitative risk reduction. Specifically, it is applied in this work to address the structural integrity management of ships, considering probabilistic corrosion models. Through metaheuristic optimization, it seeks a good trade-off between operational risks and repair costs, providing clear guidance for stakeholders on what, when, and where to survey and repair, as well as understanding the associated costs and risks. Simulation results demonstrate the framework’s efficacy in aligning with industry standards while offering valuable insights for academia, engineers, surveyors, shipyards, Classification Societies, and asset managers involved in ship structural integrity management.

SNAME Maritime Convention
University of Michigan (US), Brazilian Naval School (BR)
Openalex Percentile: Top 85%
Structural Integrity and Reliability Analysis
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Optimizing Ship Structural Integrity Management: Opportunistic Maintenance with Corrosion Prediction — Joao Casares, Nickolas Vlahopoulos · SNAME Maritime Convention (2024) | TGRS Research Map | TGRS