{"id":"W7161906901","doi":"10.82308/46977","title":"Implementation of an aeroelasticity tool for compressor blades and vanes vibratory stresses prediction using ANSYS and CFX for Pratt & Whitney Canada","year":2017,"lang":"en","type":"dissertation","venue":"","topic":"Turbomachinery Performance and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aeroelasticity; Eurocode; Gas compressor; Motion study","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008714255,0.001091539,0.0006330832,0.0005944227,0.0005868591,0.0009070475,0.001797742,0.0007279772,0.02647809],"category_scores_gemma":[0.001434796,0.0008690743,0.0007456103,0.0004270731,0.0002955243,0.0007743901,0.0006644407,0.001058534,0.004003617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007234291,"about_ca_system_score_gemma":0.002260924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02519343,"about_ca_topic_score_gemma":0.02682923,"domain_scores_codex":[0.9995967,0.00003090097,0.00002740057,0.00006046806,0.0002458049,0.00003873257],"domain_scores_gemma":[0.9993958,0.0002015095,0.0000342885,0.00008354851,0.0002490248,0.00003580521],"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":[0.0003713716,0.0003624776,0.0087756,0.0006229235,0.0001625097,0.0005327512,0.0009524319,0.4473678,0.0945343,0.01377308,0.03438671,0.398158],"study_design_scores_gemma":[0.00009208169,0.000103708,0.002193344,0.0000592877,0.00002782259,0.0001159087,0.0001073916,0.9248894,0.02738556,0.001329288,0.04362246,0.00007377531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03101439,0.00007385637,0.8966947,0.0001351017,0.0001085677,0.0003187692,0.001784467,0.05847639,0.01139377],"genre_scores_gemma":[0.2328468,0.0002671906,0.7275306,0.0001155825,0.00002974416,0.0007098911,0.004700509,0.007688446,0.02611135],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02647809,"threshold_uncertainty_score":0.08857799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01351587522895133,"score_gpt":0.2782017856963631,"score_spread":0.2646859104674118,"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."}}