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Predicting the Probability Of Failure of Gas Pipelines Including Inspection and Repair Procedures. L.Zhang, R.Adey Computational Mechanics International San Sebastian 12.09.2007. Contents. Why Probability of Failure (POF) analysis An introduction to the POF calculation method
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Predicting the Probability Of Failure of Gas Pipelines Including Inspection and Repair Procedures L.Zhang, R.Adey Computational Mechanics International San Sebastian 12.09.2007
Contents • Why Probability of Failure (POF) analysis • An introduction to the POF calculation method • Overview of POF calculation tool- PipeSafety developed for NATURALHY project • A sample problem • Summary
Probability Of Failure • What is Probability of Failure? • A number which indicates the probability that a pipeline could fail within a given timeframe • Failure criterion: leakage including breakage (zero tolerance to gas/hydrogen leakage) • The Probability of Failure can be used to assess the impact on the safety of a pipeline of changes in the design and management and the type of gas carried by the pipeline • The POF also provides a link to economics type models
Probability Of Failure • The POF can include the impact on the pipeline safety of: • The type of gas being carried and its impact on the materials or defects present in the pipeline • The operational loads on the pipeline • The inspection strategy and the performance of the inspection tools • The repair strategy • The quality of the pipeline • e.g. The number and type of defects present
Hydrogen • Hydrogen has been shown to change the behaviour of materials subject to low cycle fatigue loads • These changes are associated with plastic deformation of the material • Hydrogen is therefore expected to change the behaviour of sharp crack like defects • The POF calculation is therefore focused on crack-like defects
Probability Of Failure • A probabilistic fracture mechanics approach has been used to determine the behaviour of crack like defects • There are three main ways of obtaining the POF • Analytical solution • First/Second Order Reliability Method (FORM) • Monte-Carlo simulation with/without variance reduction technique
POF Calculation Method • The current failure criteria used in the model is based on BS7910 level 2 FAD • Other failure models could be added to the POF tool
POF Calculation Method • Monte-Carlo simulation
POF Calculation Method • All the inputs into the model can be expressed probabilistically • Defect distribution, material behaviour etc. • Common probability density functions • Lognormal distribution • Weibull distribution • Exponential distribution, normal distribution…etc.
POF Calculation Method • The POF of a whole pipeline can be calculated as follows:
POF Calculation Tool PipeSafety • Main page
POF Calculation Tool PipeSafety • Pipe geometry
POF Calculation Tool PipeSafety • Defect definitions
POF Calculation Tool PipeSafety • Loads definitions
POF Calculation Tool PipeSafety • Residual stresses
POF Calculation Tool PipeSafety • Material properties Data is being obtained by experimental testing as part of the NATURALHY project
POF Calculation Tool PipeSafety • Inspection tool characteristics
POF Calculation Tool PipeSafety • Repair procedure
POF Calculation Tool PipeSafety • Analysis and other options
Sample Application Basic input data
Sample Application Fatigue crack growth data from TNO, Netherlands for natural gas and 100% hydrogen
X52 Base Material In 100% Natural Gas • Repair criteria • Pre-inspected and then inspected at every 10 years • If a detected crack will lead to failure in 12 years it is repaired • A pipeline with 10 cracks/km • Fracture and fatigue properties • c=5.2e-13 • m=3 • KIC=4743.416MPa*mm1/2 • Result • Cumulative POF of a single defect (60 years): 3.0e-5 • Total POF: 3.0e-4 per km
Improve Inspection What happens if we improve the sensitivity of the inspection tool? New inspection tool Probability of Detection Curve
POF Of A DefectBase Metal Higher sensitivity of inspection tool reduces the POF
Summary • Probability of Failure analysis enables the impact of hydrogen on the safety of pipelines to be assessed • The analysis does not only consider the impact of hydrogen on the micro mechanical behaviour of the materials but also the way the pipeline is managed • Inspection strategy • Repair strategy • Operational loads
Summary • It can be used as a sensitivity tool to assess management options and can link to more economic models • The initial crack size distribution is an important input parameter and further work is required to validate this and other data • Material properties such as crack growth threshold value, fatigue properties and toughness are key parameters
The End Question time