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Keywords: gas pipelineClose
Proc. ASME. PVP2021, Volume 1: Codes and Standards, V001T01A026, July 13–15, 2021
Paper No: PVP2021-61097
... in the management of buried gas pipelines, a FM management correction factor FD damage correction factor special quantitative risk assessment method was proposed in FMH hidden risk management correction factor FMO management plan correction factor order to clarify the key points of control, optimize resource FME...
Jeffrey T. Fong, Pedro V. Marcal, Robert Rainsberger, N. Alan Heckert, James J. Filliben, Steven R. Doctor, Ned A. Finney, Jr.
Proc. ASME. PVP2021, Volume 1: Codes and Standards, V001T01A029, July 13–15, 2021
Paper No: PVP2021-62169
... rupture test data with simple loading histories. cracked pipe; failure probability; fatigue modeling; fracture In this paper, we extend the theory to include a methodology to mechanics; gas pipeline; inspection interval; minimum time to estimate the co-reliability of a cracked pipe from fatigue crack...
Proc. ASME. PVP2013, Volume 6B: Materials and Fabrication, V06BT06A040, July 14–18, 2013
Paper No: PVP2013-98052
... numerical analysis methods. The purpose is to identify a method to be used in engineering design or to be investigated further for determining the minimum fracture toughness to arrest a ductile running crack in a modern high-pressure, high-strength gas pipeline. running fracture CVN energy DWTT...
Proc. ASME. PVP2007, Volume 7: Operations, Applications and Components, 349-356, July 22–26, 2007
Paper No: PVP2007-26819
... 21 08 2009 The acceptable failure probability of different gas pipeline should differ as a result of their severity degree of pipeline failure consequence. In this paper, several influencing factors to the pipeline acceptable probability were analyzed and a method for the determination...
Proc. ASME. PVP2005, Volume 7: Operations, Applications, and Components, 359-367, July 17–21, 2005
Paper No: PVP2005-71268
... propagation model is generated along the gas pipelines, and signals based on the model are compared with experimental data. In modeling the wave propagation, auto power spectral density (APSD) and cross power spectral density (CPSD) processing methods are applied to distinguish damage signals from noises...