{"id":"W2935024427","doi":"10.1016/j.ijpvp.2019.03.037","title":"Implementation of the Tresca yield criterion in finite element analysis of burst capacity of pipelines","year":2019,"lang":"en","type":"article","venue":"International Journal of Pressure Vessels and Piping","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Western University","keywords":"von Mises yield criterion; Finite element method; Yield surface; Structural engineering; Tangent; Constitutive equation; Engineering; Applied mathematics; Mathematics; Geometry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003018621,0.00006812347,0.0002908499,0.0003226049,0.000008594441,0.0000113005,0.000199006,0.00004402717,0.0001649014],"category_scores_gemma":[0.00005039537,0.00004715938,0.0001856269,0.0002598828,0.00003391715,0.0001438757,0.00002994761,0.000128888,6.122076e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001784063,"about_ca_system_score_gemma":0.0000123861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005829873,"about_ca_topic_score_gemma":0.0003480072,"domain_scores_codex":[0.9989077,0.00003810361,0.0006470808,0.00005989912,0.0002879662,0.00005928343],"domain_scores_gemma":[0.9990806,0.0001763094,0.00033247,0.00008194247,0.0003130022,0.00001566692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00006982456,0.00004173005,0.3922125,0.0003386571,0.003629087,0.000001005103,0.00361112,0.4885095,0.1073246,0.0004526724,0.00002749737,0.00378178],"study_design_scores_gemma":[0.0007559492,0.00009216317,0.6804199,0.0007282338,0.001380583,0.00000608355,0.001964,0.1186504,0.194899,0.0004773047,0.0004787121,0.000147681],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976687,0.0004178653,0.001234396,0.0001982602,0.0003211845,0.00004994348,0.00005287103,0.000001631149,0.00005511065],"genre_scores_gemma":[0.9995238,0.0002717561,0.0001412151,0.00001204769,0.0000370511,4.690501e-7,0.000002621589,0.000003086486,0.000007907272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3698591,"threshold_uncertainty_score":0.1923104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01508039212645103,"score_gpt":0.2702343568586703,"score_spread":0.2551539647322192,"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."}}