{"id":"W4405043832","doi":"10.1016/j.eml.2024.102271","title":"Simulating flow-induced reconfiguration by coupling corotational plate finite elements with a simplified pressure drag","year":2024,"lang":"en","type":"article","venue":"Extreme Mechanics Letters","topic":"Lattice Boltzmann Simulation Studies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche","keywords":"Drag; Control reconfiguration; Coupling (piping); Flow (mathematics); Mechanics; Finite element method; Physics; Parasitic drag; Mechanical engineering; Engineering; Structural engineering; Embedded system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002976336,0.0005255049,0.0004159396,0.0004326571,0.000393352,0.0007845018,0.001002902,0.0008870875,0.004389208],"category_scores_gemma":[0.001188605,0.000296438,0.0004465811,0.0003448442,0.0007102398,0.0004087955,0.0007504573,0.0007527758,0.0005122112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004047789,"about_ca_system_score_gemma":0.0009385349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006297464,"about_ca_topic_score_gemma":0.005584116,"domain_scores_codex":[0.9998036,0.00003580193,0.000009872534,0.00002159922,0.00009763487,0.00003150891],"domain_scores_gemma":[0.9995257,0.0002395278,0.00004877992,0.00008784365,0.00006389591,0.00003439892],"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":[0.00003604118,0.00005875853,0.001158726,0.00007180513,0.00001270967,0.00009026253,0.0001169049,0.980718,0.007085889,0.004717146,0.0004084217,0.005525337],"study_design_scores_gemma":[0.00000941041,0.00001599051,0.0001520759,0.000008444861,0.000002680982,0.00002049988,0.00002177903,0.9957985,0.002377089,0.0007001838,0.000887586,0.000005688156],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3736521,0.0001733978,0.5860206,0.0002830028,0.0001993328,0.0002444515,0.0007750243,0.002803107,0.03584896],"genre_scores_gemma":[0.8635743,0.0001120068,0.1305203,0.00006416791,0.00001110422,0.0002117476,0.0003485352,0.000330239,0.004827672],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006297464,"threshold_uncertainty_score":0.01468331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02852815466676604,"score_gpt":0.2373580498182503,"score_spread":0.2088298951514843,"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."}}