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contributor authorZ. L. Chou
contributor authorJ. Zhou
contributor authorJ. J. R. Cheng
date accessioned2017-05-09T00:53:49Z
date available2017-05-09T00:53:49Z
date copyrightMay, 2012
date issued2012
identifier issn0892-7219
identifier otherJMOEEX-28394#021702_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/150017
description abstractAs both onshore and offshore pipeline constructions push further into higher risk terrains, such as geologically unstable terrain and the Arctic region, the risk of local buckling failure (wrinkling) for these buried pipelines has been increasing gradually. However, current methods used to prevent buried pipelines from buckling failure are expensive, time consuming, and unreliable. Therefore, to overcome these problems, a reliable method of predicting pipeline wrinkling is proposed. The method can provide active warning for pipeline wrinkling through a decision-making system (DMS). The DMS has been designed to identify strain distribution patterns and their development on critical pipe segments and detect the onset of pipe wrinkling. To create a reliable DMS, studies of the strain distribution patterns of line-pipes during pipe buckling are very important. In this paper, the strain distribution patterns of various line-pipes are presented. These line-pipes have different material and geometric properties, loading conditions, and manufacturing conditions. A total of 32 sets of experimental results and 72 sets of finite element analyses (FEA) along with parametric studies were included in the study. The study revealed significant behavioral characteristics of the strain distribution patterns during pipe buckling and important parameters affecting these strain patterns. For practical application, three thresholds of the strain distribution patterns are proposed. Furthermore, the optimal positions and spacing of the strain measurements for early detecting pipelines wrinkling are discussed as well.
publisherThe American Society of Mechanical Engineers (ASME)
titlePattern Studies of Strain Distributions for Detecting Pipe Wrinkling
typeJournal Paper
journal volume134
journal issue2
journal titleJournal of Offshore Mechanics and Arctic Engineering
identifier doi10.1115/1.4004522
journal fristpage21702
identifier eissn1528-896X
keywordsPipes
keywordsBuckling AND Pipelines
treeJournal of Offshore Mechanics and Arctic Engineering:;2012:;volume( 134 ):;issue: 002
contenttypeFulltext


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