{"id":"W2012845884","doi":"10.1115/1.4000969","title":"Optimal Vibration Suppression of Structures Under Random Base Excitation Using Semi-Active Mass Damper","year":2010,"lang":"en","type":"article","venue":"Journal of vibration and acoustics","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Magnetorheological fluid; Damper; Tuned mass damper; Linear-quadratic-Gaussian control; Vibration; Control theory (sociology); Vibration control; Engineering; Structural engineering; Magnetorheological damper; Controller (irrigation); Random vibration; Computer science; Optimal control; Physics; Mathematics; Acoustics; Control (management)","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":[0.0001776953,0.0003310557,0.000272354,0.0001173067,0.0001110124,0.0002019077,0.000260113,0.000309646,0.0003229463],"category_scores_gemma":[0.00032894,0.0000942509,0.0001433177,0.00006653069,0.0002685256,0.0001767155,0.0001901981,0.0001350356,0.00007207356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000794839,"about_ca_system_score_gemma":0.0001118719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002676313,"about_ca_topic_score_gemma":0.0003255891,"domain_scores_codex":[0.9999176,0.00002007455,0.000003024013,0.00001439769,0.00003175027,0.00001324527],"domain_scores_gemma":[0.9998504,0.00006535384,0.00004058167,0.00001121302,0.00002182496,0.00001073361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005466929,0.000102663,0.0007486829,0.0001675806,0.0000286881,0.0002301517,0.0001582217,0.2628391,0.6972849,0.001923262,0.000150651,0.03581946],"study_design_scores_gemma":[0.000029388,0.0004133722,0.00101274,0.000006265714,0.00001601104,0.00004478982,0.00002546511,0.952247,0.04556641,0.0003370806,0.0002947652,0.000006725907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6406459,0.0003100813,0.3563384,0.0000715436,0.00002616004,0.0000186112,0.000009148388,0.0001992733,0.002380859],"genre_scores_gemma":[0.9940733,0.00003693287,0.005628095,0.000004645007,0.000003354891,0.00000508954,0.000002552741,0.000002992814,0.0002430124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0003310557,"threshold_uncertainty_score":0.001080334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01099881896799874,"score_gpt":0.2395726716637649,"score_spread":0.2285738526957662,"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."}}