{"id":"W2089356610","doi":"10.1016/j.cma.2010.06.020","title":"An augmented Lagrangian approach to Bingham fluid flows in a lid-driven square cavity with piecewise linear equal-order finite elements","year":2010,"lang":"en","type":"article","venue":"Computer Methods in Applied Mechanics and Engineering","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of British Columbia","keywords":"Bingham plastic; Mathematics; Piecewise linear function; Augmented Lagrangian method; Finite element method; Square (algebra); Piecewise; Benchmark (surveying); Lagrangian; Mathematical analysis; Applied mathematics; Mathematical optimization; Geometry; Physics; Engineering; Geology; Structural engineering; Rheology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005332858,0.0005428559,0.0009637824,0.0006277436,0.0007349643,0.001121984,0.00182703,0.001907047,0.003084057],"category_scores_gemma":[0.001140337,0.000658603,0.0006773682,0.0004554956,0.001204639,0.0009805831,0.001853225,0.001152244,0.0004476758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005863827,"about_ca_system_score_gemma":0.001193044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007241246,"about_ca_topic_score_gemma":0.007680438,"domain_scores_codex":[0.9997484,0.00009050882,0.00001079942,0.00002418929,0.00009469055,0.00003125942],"domain_scores_gemma":[0.9996691,0.0001347946,0.00003754927,0.00003024411,0.00008158374,0.0000467093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004085334,0.00006131959,0.0003083906,0.00005263507,0.00001451392,0.0000805204,0.00007489447,0.9651225,0.00211353,0.02247341,0.000377014,0.009280481],"study_design_scores_gemma":[0.000003461715,0.000005406666,0.00001589527,0.000001800019,8.976048e-7,0.0000037485,0.000005400528,0.9988023,0.0001009637,0.0008000607,0.0002578086,0.000002224952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03954916,0.0002253227,0.9508502,0.0002751701,0.0001357544,0.00007215943,0.00007447141,0.0001739474,0.008643774],"genre_scores_gemma":[0.6586012,0.000343812,0.3195299,0.0001946109,0.0001012575,0.0003136073,0.0001408985,0.0002419052,0.02053289],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007241246,"threshold_uncertainty_score":0.01439822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01290307178686579,"score_gpt":0.2719344994391217,"score_spread":0.2590314276522559,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}