کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
790762 1466096 2012 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Evaluation of burst pressure prediction models for line pipes
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی مکانیک
پیش نمایش صفحه اول مقاله
Evaluation of burst pressure prediction models for line pipes
چکیده انگلیسی

Accurate prediction of burst pressure plays a central role in engineering design and integrity assessment of oil and gas pipelines. Theoretical and empirical solutions for such prediction are evaluated in this paper relative to a burst pressure database comprising more than 100 tests covering a variety of pipeline steel grades and pipe sizes. Solutions considered include three based on plasticity theory for the end-capped, thin-walled, defect-free line pipe subjected to internal pressure in terms of the Tresca, von Mises, and ZL (or Zhu-Leis) criteria, one based on a cylindrical instability stress (CIS) concept, and a large group of analytical and empirical models previously evaluated by Law and Bowie (International Journal of Pressure Vessels and Piping, 84, 2007: 487–492). It is found that these models can be categorized into either a Tresca-family or a von Mises-family of solutions, except for those due to Margetson and Zhu-Leis models. The viability of predictions is measured via statistical analyses in terms of a mean error and its standard deviation. Consistent with an independent parallel evaluation using another large database, the Zhu-Leis solution is found best for predicting burst pressure, including consideration of strain hardening effects, while the Tresca strength solutions including Barlow, Maximum shear stress, Turner, and the ASME boiler code provide reasonably good predictions for the class of line-pipe steels with intermediate strain hardening response.


► This paper evaluates different burst pressure prediction models for line pipes.
► The existing models are categorized into two major groups of Tresca and von Mises solutions.
► Prediction quality of each model is assessed statistically using a large full-scale burst test database.
► The Zhu-Leis solution is identified as the best predictive model.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Pressure Vessels and Piping - Volume 89, January 2012, Pages 85–97
نویسندگان
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