{"id":"W2094605379","doi":"10.1115/1.4002059","title":"Incorporation of Strain Hardening Effect Into Simplified Limit Analysis","year":2010,"lang":"en","type":"article","venue":"Journal of Pressure Vessel Technology","topic":"Fatigue and fracture mechanics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Limit load; Hardening (computing); Limit analysis; Tangent; Strain hardening exponent; Materials science; Bilinear interpolation; Finite element method; Limit (mathematics); Nonlinear system; Structural engineering; Mechanics; Composite material; Mathematics; Mathematical analysis; Geometry; Physics; Engineering","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":[0.0004497694,0.0001336595,0.0004585316,0.0009383783,0.00002875268,0.0000146243,0.0003200768,0.00039184,0.00003361826],"category_scores_gemma":[0.0002329275,0.0001136818,0.0001450156,0.0007900552,0.0000476454,0.0001405519,0.00003155115,0.0008032836,0.000001771845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009418237,"about_ca_system_score_gemma":0.00002021494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003176019,"about_ca_topic_score_gemma":0.00002571206,"domain_scores_codex":[0.9991103,0.00002650272,0.0004603233,0.00009102003,0.0001738728,0.0001379636],"domain_scores_gemma":[0.9991051,0.00008758084,0.0003386667,0.0002597072,0.0001649901,0.00004396642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002572196,0.00002748598,0.00233594,0.0001296251,0.001346498,0.00002094459,0.0001792863,0.02498886,0.9465463,0.001764662,0.0004566555,0.02217803],"study_design_scores_gemma":[0.0009859279,0.0007179125,0.002495317,0.00007200474,0.002728216,0.00009197017,0.0001419273,0.04879519,0.913031,0.01374538,0.01684246,0.0003526493],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8647864,0.0008337372,0.1327591,0.0004394377,0.000737764,0.0001172204,0.000008733476,0.00014282,0.0001748284],"genre_scores_gemma":[0.9923831,0.00003057453,0.007455823,0.000009015929,0.00008942292,0.000002310105,0.000003495845,0.00001782181,0.000008484985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1275967,"threshold_uncertainty_score":0.4635809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003879815121955014,"score_gpt":0.2173720701791284,"score_spread":0.2134922550571734,"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."}}