{"id":"W2048611138","doi":"10.1007/s00707-011-0606-8","title":"Finite element analysis of elastoplastic modeling: application to one-dimensional loading of as-received and pre-strained materials","year":2012,"lang":"en","type":"article","venue":"Acta Mechanica","topic":"Fatigue and fracture mechanics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Sciences and Engineering Research Council of Canada; Hydro-Québec; Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Université du Québec à Chicoutimi","keywords":"Solid mechanics; Subroutine; von Mises yield criterion; Finite element method; Materials science; Structural engineering; Constitutive equation; Material properties; Plasticity; Yield (engineering); Applied mathematics; Mechanics; Computer science; Mathematics; Composite material; Engineering; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004406294,0.0005684101,0.0007500216,0.0007314674,0.0004801947,0.0005820955,0.001121578,0.001414225,0.003476558],"category_scores_gemma":[0.001314607,0.0004764561,0.0005830904,0.0005886767,0.0006866473,0.0005751591,0.0004678879,0.000514687,0.0005393886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003484459,"about_ca_system_score_gemma":0.0005812002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002132843,"about_ca_topic_score_gemma":0.002832639,"domain_scores_codex":[0.9998331,0.00004565749,0.00001227127,0.00002157997,0.00007264123,0.00001473144],"domain_scores_gemma":[0.999449,0.0003338496,0.00004711243,0.00005408885,0.00009932895,0.00001666889],"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":[0.00008882058,0.0001964791,0.0007750305,0.0001334855,0.00002287137,0.0001051354,0.0002392611,0.930058,0.03122172,0.005662141,0.0002725772,0.03122444],"study_design_scores_gemma":[0.000004211498,0.00001779588,0.0001335569,0.000004447741,0.000003398568,0.00002102131,0.00001691215,0.9970872,0.002004337,0.0004417411,0.0002613314,0.000004134998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1686846,0.0002012577,0.8233933,0.0001733576,0.00003682337,0.00008944866,0.0001483141,0.0007104808,0.006562372],"genre_scores_gemma":[0.8275204,0.0003958664,0.1640752,0.0000647063,0.00002351174,0.000229537,0.0001991595,0.0002779926,0.007213659],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003476558,"threshold_uncertainty_score":0.01163024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01371084359445329,"score_gpt":0.2328747947629246,"score_spread":0.2191639511684713,"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."}}