کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
773644 1462966 2016 17 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Stochastic modelling of perfect inspection and repair actions for leak–failure prone internal corroded pipelines
ترجمه فارسی عنوان
مدل سازی تصادفی از اقدامات بازرسی و تعمیر کامل برای خطرات خطا در خط لوله های خوردگی داخلی
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی صنعتی و تولید
چکیده انگلیسی


• Modelled inspection and repair of corroded pipeline using Markov process
• Expressed the transition states as a function of retained pipe-wall thickness
• Inspection and repair on the pipeline depended on the corroded depth.
• Monte Carlo simulation was used to predict the time of corrosion wastage.

To enhance the performance of any facility, reduce cost and failure probability involves proper inspection and repair decisions. To be able to establish the cost of repair and inspection of corroded pipelines at different stages of the corrosion defect depth growth, Markov modelling technique was adopted. This model formulated an inspection and repair technique, which has the potentials of aiding policy makers in maintenance management of internally corroded pipelines. The transition states were determined using the Remaining Useful Life (RUL) of the pipelines whilst Weibull distribution was used for calculating the corrosion wastage rates at the lifecycle transition phases. Monte Carlo simulation and degradation models were applied for determining future corrosion defect depth growth, in a bid to establish periodic inspection and repair procedures and their costs. Data from an onshore pipeline inspected with Magnetic Flux Leakage (MFL) in-Line-Inspection (ILI) technique was used to test the validity of the model. The results obtained indicate that the model has practical applications for inspection and repairs of aged-internally corroded pipelines.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Engineering Failure Analysis - Volume 60, February 2016, Pages 40–56
نویسندگان
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