{"id":"W2065752210","doi":"10.1007/s00158-001-0167-x","title":"A finite element optimization technique to determine critical imperfections of shell structures","year":2001,"lang":"en","type":"article","venue":"Structural and Multidisciplinary Optimization","topic":"Composite Structure Analysis and Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Buckling; Finite element method; Structural engineering; Shell (structure); Parametric statistics; Critical load; Conical surface; Nonlinear system; Cylinder; Genetic algorithm; Stability (learning theory); Hydrostatic pressure; Engineering; Mathematics; Geometry; Mathematical optimization; Computer science; Mechanics; Mechanical engineering; Physics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005548021,0.0007358028,0.0007344154,0.0007164706,0.0006057047,0.000399809,0.0009675094,0.0009203255,0.003020954],"category_scores_gemma":[0.001662924,0.0007603597,0.0006490895,0.0005348555,0.0005116457,0.0005677657,0.0006077749,0.0009602454,0.0005265968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002989111,"about_ca_system_score_gemma":0.0009587338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002335548,"about_ca_topic_score_gemma":0.004429602,"domain_scores_codex":[0.9998327,0.0000336114,0.000008435552,0.00001694745,0.00009446916,0.00001367607],"domain_scores_gemma":[0.9995436,0.0002247954,0.00004804986,0.00005130147,0.0001131631,0.00001909078],"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":[0.00004461158,0.0001002006,0.0004649826,0.0001047697,0.0000503939,0.00005625976,0.0001062614,0.8966653,0.02125465,0.01204129,0.001355265,0.06775606],"study_design_scores_gemma":[0.000006622104,0.00001744386,0.00009381291,0.00000459338,0.000007138254,0.00001637737,0.000007725098,0.9963219,0.002061297,0.000703856,0.0007557101,0.000003456334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01005338,0.00004790385,0.9866142,0.00004222862,0.00002186517,0.0000516471,0.00003933018,0.0003744793,0.002755062],"genre_scores_gemma":[0.1366348,0.0001039704,0.8587013,0.00006048716,0.00002221394,0.0002711575,0.0001594999,0.0003265238,0.003720153],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003020954,"threshold_uncertainty_score":0.01010609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00823460788167437,"score_gpt":0.2566600659130512,"score_spread":0.2484254580313769,"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."}}