Continuum Modelling Framework for Local Buckling Response of Plain and Girth Welded Pipes
Bibliographic record
Abstract
Abstract In this paper, the significance of boundary conditions (L/D ratio), initial geometric imperfections, anisotropic material properties, and material constitutive model on the local buckling response of plain and girth welded pipes was evaluated using continuum finite element modelling procedures. A numerical model was developed, using the finite-element simulator ABAQUS/Standard, to predict the local buckling and post-buckling response of high strength pipelines subject to combined state of loading. The numerical procedures were calibrated using test data from large-scale experiments examining the local buckling of high strength linepipe. The moment and strain response estimates, predicted by the numerical simulation tool, was consistent with the experimental data well into the post-yield range. As the models with high L/D ratio exhibit global Euler-type response, a numerical algorithm was developed to calculate the local section moment response based on FE predictions. Introduction Arctic pipelines may be subject to large deformation geohazards such as ice gouging, frost heave, thaw settlement, seismic fault movement and lateral spreading due to liquefaction. The imposed ground displacement field and load transfer effects will develop a pipe bending and axial feed-in response that may result in local pipeline buckling response. For these design conditions, mechanical performance criteria are generally based on strain limits in order to develop practical and cost-effective engineering solutions. Although there have been a significant number of investigations on the bending and local buckling response of pipelines over the past 80 years, which include analytical, physical and computational modelling studies, there remains some areas of uncertainty [1–11]. Some of these areas include parameter characterization and quantification on effects of capacity reduction associated with initial geometric imperfections of the pipe body, residual stress and geometric imperfections associated with girth welding processes, material anisotropic behavior and discontinuous yielding [6,12,13]. This paper will address these issues through discussion of studies conducted by the authors, using continuum finite element modelling procedures, and reference to other publications. Numerical Modelling Procedures The numerical modeling procedures were developed using the commercial software package ABAQUS/Standard. These numerical modeling procedures were calibrated with full scale tests conducted on linepipe segments with a 3.5 L/D ratio. Zimmerman et al. [14] presented a generalized description of the experimental apparatus and test procedure. The FE modelling procedures simulated experimental tests on a linepipe segment subject to end rotation, internal pressure and axial force. A typical FE model is illustrated in Figure 1. The pipeline was modeled using a reduced integrated shell element (S4R). The mesh topology was an element length of 20 mm on the pipeline length and circumference, which was based on a mesh convergence study [15]. The mesh density was selected to maintain a consistent topology across the range the two segment lengths examined. In the experimental test program, for pipeline segment lengths of 3.5 D, end support collars were used to mitigate the effects of boundary conditions on the local buckling response. In this study, the support collars were assumed to have perfect contact with the pipeline segment. The support collars were modeled with a nominal wall thickness equal to the nominal pipeline wall thickness and a length of 0.5D.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".