{"id":"W2977454527","doi":"10.1016/j.camwa.2019.09.017","title":"A simplified finite volume lattice Boltzmann method for simulations of fluid flows from laminar to turbulent regime, Part I: Numerical framework and its application to laminar flow simulation","year":2019,"lang":"en","type":"article","venue":"Computers & Mathematics with Applications","topic":"Lattice Boltzmann Simulation Studies","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Laminar flow; Lattice Boltzmann methods; Finite volume method; Turbulence; Discretization; Unstructured grid; Grid; Mathematics; Reynolds number; Couette flow; Mechanics; Computational fluid dynamics; Flow (mathematics); Temporal discretization; Incompressible flow; Geometry; Mathematical analysis; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002067653,0.000365966,0.0006004459,0.0002099584,0.0001661317,0.0000652214,0.0003055029,0.0001550374,0.00001790476],"category_scores_gemma":[0.0001201514,0.0003679863,0.00008103652,0.0007257406,0.00002189409,0.000166446,0.0001178466,0.0001486039,0.000186034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008720721,"about_ca_system_score_gemma":0.00002372979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004191722,"about_ca_topic_score_gemma":0.000003989774,"domain_scores_codex":[0.998005,0.0000347481,0.000721149,0.0005667612,0.0003348998,0.0003374118],"domain_scores_gemma":[0.9954054,0.002887756,0.0001936906,0.0008582951,0.0004406716,0.0002141661],"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":[0.00003101172,0.0001231624,0.00006275376,0.0002853414,0.0001375644,1.776476e-7,0.002102738,0.9876738,0.0006843089,0.004329179,0.0002264898,0.004343517],"study_design_scores_gemma":[0.0004623116,0.0001237748,0.0002235864,0.0001828817,0.0001822342,0.000001313622,0.0001451083,0.9719438,0.0003096265,0.004029356,0.02199918,0.0003968129],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03211898,0.0001131618,0.9621484,0.0004790476,0.00006856411,0.004485449,0.0002279474,0.0002709021,0.00008753985],"genre_scores_gemma":[0.4152215,0.000006130766,0.5833342,0.0001581155,0.0001148952,0.0008920288,0.0001104393,0.00007466572,0.00008801544],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3831025,"threshold_uncertainty_score":0.9998772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01753705922961964,"score_gpt":0.2809278563419459,"score_spread":0.2633907971123263,"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."}}