{"id":"W2781561670","doi":"10.2514/6.2018-1955","title":"Computational Aeroelastic Analysis using an Enhanced OpenFOAM-based CFD-CSD Solver","year":2018,"lang":"en","type":"article","venue":"2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Computational fluid dynamics; Solver; Aeroelasticity; Computer science; Computational science; Aerodynamics; Aerospace engineering; Engineering; Programming language","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":[0.0003308235,0.0005354551,0.0005888495,0.0004869289,0.0005171231,0.0009179618,0.001619034,0.0009806695,0.0051659],"category_scores_gemma":[0.001191073,0.0003019258,0.0007598042,0.0003422116,0.0004144617,0.0007307404,0.001729724,0.000902257,0.000751941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004974891,"about_ca_system_score_gemma":0.001432007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004179975,"about_ca_topic_score_gemma":0.003439944,"domain_scores_codex":[0.999662,0.00004162929,0.0000186041,0.00003953888,0.0001985337,0.00003969393],"domain_scores_gemma":[0.9995852,0.0001303087,0.00004037017,0.00006246706,0.0001449845,0.00003659803],"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":[0.00007052542,0.0001236645,0.00208876,0.0001560349,0.00005090881,0.0002684862,0.0001186708,0.8866995,0.02568362,0.02640386,0.002159495,0.05617645],"study_design_scores_gemma":[0.00001193113,0.00001351002,0.0001586829,0.000004367608,0.000003521024,0.00003571822,0.000006374316,0.9932455,0.002229124,0.0008654186,0.003419084,0.000006740747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03931353,0.0001370384,0.945515,0.0001248839,0.0001233713,0.0001276391,0.0002823965,0.001189113,0.01318706],"genre_scores_gemma":[0.47147,0.0002532028,0.5150256,0.0001637594,0.00009702422,0.000456105,0.0009197416,0.0004787037,0.0111359],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0051659,"threshold_uncertainty_score":0.01728165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01364149910538128,"score_gpt":0.2470875191007781,"score_spread":0.2334460199953968,"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."}}