A widely-applicable structural maintenance decision-analytic modelling approach assisted by information value computation

Abstract Improving the quality of maintenance decision-making under uncertainty is important for safety, reliability and cost management of marine assets. It is worth studying how condition inspections can be objective-oriented and inspection information be fully utilized in the maintenance decision-making process. Herein a new maintenance decision-analytic modelling approach assisted by value of information (VoI) computation is proposed and applied to a safety-critical marine structure. Three maintenance decision-making cases and three inspection strategies are tested. Below advantages of the proposed approach represent contribution to the current literature. The approach can yield optimal maintenance decisions in various decision-making cases, while condition based maintenance (CBM) is efficient only in the cases where inspections add value. The approach yields maintenance decisions associated with the same or lower life cycle costs (LCC) than decision rule-based approaches (e.g. CBM), and gives more improved decisions (associated with lower LCC) with more in-depth inspections. The advantages are benefited from VoI computation, decision-analytic modelling, and probabilistic modelling of uncertainty, crack growth and inspection outcomes. Maintenance decisions are derived based on integrated crack information via Bayesian updating, rather than only on inspection results. The approach can be used to optimize inspection and maintenance strategies for structural assets.

[1]  Bart De Schutter,et al.  Timely condition-based maintenance planning for multi-component systems , 2017, Reliab. Eng. Syst. Saf..

[2]  Gang Niu,et al.  Development of an optimized condition-based maintenance system by data fusion and reliability-centered maintenance , 2010, Reliab. Eng. Syst. Saf..

[3]  Yisha Xiang,et al.  A review on condition-based maintenance optimization models for stochastically deteriorating system , 2017, Reliab. Eng. Syst. Saf..

[4]  Benoît Iung,et al.  A proactive condition-based maintenance strategy with both perfect and imperfect maintenance actions , 2015, Reliab. Eng. Syst. Saf..

[5]  Torgeir Moan,et al.  Probabilistic methods for planning of inspection for fatigue cracks in offshore structures , 2016 .

[6]  Torgeir Moan,et al.  Life-cycle assessment of marine civil engineering structures , 2011 .

[7]  Karan Doshi,et al.  Probabilistic fracture mechanics based fatigue evaluation of ship structural details , 2013 .

[8]  Arturo González,et al.  Computing the value of information from periodic testing in holistic decision making under uncertainty , 2021, Reliab. Eng. Syst. Saf..

[9]  Torgeir Moan,et al.  Life cycle structural integrity management of offshore structures , 2018 .

[10]  Sebastian Thöns,et al.  Information value-based optimization of structural and environmental monitoring for offshore wind turbines support structures , 2020 .

[11]  P. Gardoni,et al.  Quantifying the value of information from inspecting and monitoring engineering systems subject to gradual and shock deterioration , 2021, Structural Health Monitoring.

[12]  Dan M. Frangopol,et al.  Incorporation of risk and updating in inspection of fatigue-sensitive details of ship structures , 2016 .

[13]  Jianfeng Li,et al.  An evaluation of maintenance strategy using risk based inspection , 2011 .

[14]  Arturo González,et al.  Fatigue inspection and maintenance optimization: A comparison of information value, life cycle cost and reliability based approaches , 2021, Ocean Engineering.

[15]  Michael Havbro Faber,et al.  An integrated probabilistic approach for optimum maintenance of fatigue-critical structural components , 2019 .

[16]  Michael Havbro Faber,et al.  Probabilistic investigations into the value of information: A comparison of condition-based and time-based maintenance strategies , 2019, Ocean Engineering.

[17]  Liping Sun,et al.  Condition based maintenance optimization for offshore wind turbine considering opportunities based on neural network approach , 2018 .

[18]  Naman Recho,et al.  Risk Based Inspection Planning for Fatigue Damage in Offshore Steel Structures , 2015 .

[19]  Dan M. Frangopol,et al.  Generalized Probabilistic Framework for Optimum Inspection and Maintenance Planning , 2013 .

[20]  Dan M. Frangopol,et al.  Optimum inspection planning for minimizing fatigue damage detection delay of ship hull structures , 2011 .

[21]  Dan M. Frangopol,et al.  A probabilistic approach for optimizing inspection, monitoring, and maintenance actions against fatigue of critical ship details , 2016 .

[22]  P. C. Paris,et al.  A Critical Analysis of Crack Propagation Laws , 1963 .

[23]  Dan M. Frangopol,et al.  Life-cycle of structural systems: recent achievements and future directions† , 2016 .

[24]  Daniel Straub,et al.  Value of information from vibration-based structural health monitoring extracted via Bayesian model updating , 2021, Mechanical Systems and Signal Processing.

[25]  N. S. Arunraj,et al.  Risk-based maintenance policy selection using AHP and goal programming. , 2010 .

[26]  Athena Zitrou,et al.  Robustness of maintenance decisions: Uncertainty modelling and value of information , 2013, Reliab. Eng. Syst. Saf..

[27]  Lina Bertling,et al.  An Approach for Condition-Based Maintenance Optimization Applied to Wind Turbine Blades , 2010, IEEE Transactions on Sustainable Energy.

[28]  Khac Tuan Huynh,et al.  Assessment of diagnostic and prognostic condition indices for efficient and robust maintenance decision-making of systems subject to stress corrosion cracking , 2017, Reliab. Eng. Syst. Saf..

[29]  Matteo Pozzi,et al.  Value-of-information in spatio-temporal systems: Sensor placement and scheduling , 2018, Reliab. Eng. Syst. Saf..

[30]  Christophe Bérenguer,et al.  An opportunistic condition-based maintenance policy for offshore wind turbine blades subjected to degradation and environmental shocks , 2015, Reliab. Eng. Syst. Saf..

[31]  Carlos Guedes Soares,et al.  Cost and reliability based strategies for fatigue maintenance planning of floating structures , 2001, Reliab. Eng. Syst. Saf..

[32]  Arturo González,et al.  Reliability-based inspection planning in view of both crack initiation and propagation , 2017 .