{"id":"W4319864148","doi":"10.1016/j.ijpvp.2023.104906","title":"Numerical sensitivity analysis of corroded pipes and burst pressure prediction using finite element modeling","year":2023,"lang":"en","type":"article","venue":"International Journal of Pressure Vessels and Piping","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"German University in Cairo","keywords":"Corrosion; Sensitivity (control systems); Finite element method; Materials science; Hardening (computing); Structural engineering; Strain hardening exponent; Mechanics; Engineering; Composite material; 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":[0.0007592454,0.0005338513,0.0006839233,0.0006426331,0.0003565996,0.0006200847,0.0007978874,0.001220254,0.001269558],"category_scores_gemma":[0.003042223,0.000592077,0.0006188597,0.0003710604,0.0008669011,0.0006557304,0.0007234343,0.0005967836,0.0001090372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006286447,"about_ca_system_score_gemma":0.0003697572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005724903,"about_ca_topic_score_gemma":0.002327166,"domain_scores_codex":[0.999684,0.00009955623,0.00001524957,0.00004488878,0.0001046237,0.0000516754],"domain_scores_gemma":[0.9977536,0.001726029,0.0001424236,0.000110455,0.0002266775,0.00004088996],"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":[0.0000618671,0.00003626848,0.0006965212,0.00003792685,0.00001228526,0.0000896425,0.00002845513,0.9902245,0.006455378,0.0005462607,0.0000610595,0.001749828],"study_design_scores_gemma":[0.000001474454,0.00001495104,0.0002443772,0.000001915053,0.00000282166,0.000008108804,0.00000669742,0.9982771,0.001322396,0.00009316577,0.00002392932,0.000003071067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8710928,0.0004572154,0.1199163,0.000271159,0.00007149889,0.00006893868,0.0001509886,0.0003083498,0.007662689],"genre_scores_gemma":[0.9967033,0.00005620261,0.002604364,0.00001351798,0.000004002904,0.0000101971,0.00002236831,0.0000128967,0.0005730461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005724903,"threshold_uncertainty_score":0.01138318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02092296404266113,"score_gpt":0.2654801464635519,"score_spread":0.2445571824208908,"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."}}