{"id":"W2061165302","doi":"10.1007/s11044-012-9322-y","title":"Use of penalty formulations in dynamic simulation and analysis of redundantly constrained multibody systems","year":2012,"lang":"en","type":"article","venue":"Multibody System Dynamics","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Augmented Lagrangian method; Constraint (computer-aided design); Kinematics; Multibody system; Computer science; Penalty method; Stiffness; Lagrangian; Mechanical system; Mathematical optimization; Control theory (sociology); Mathematics; Engineering; Applied mathematics; Algorithm; Structural engineering; Mechanical engineering; Physics","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":[0.001094113,0.000698661,0.0007749718,0.000540228,0.0005972702,0.0009607176,0.001008724,0.0008989379,0.001552771],"category_scores_gemma":[0.004037725,0.0005202719,0.0005055207,0.0004145541,0.0007022698,0.001101188,0.001119577,0.0009007402,0.0002837665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003160513,"about_ca_system_score_gemma":0.000621948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002514703,"about_ca_topic_score_gemma":0.00253772,"domain_scores_codex":[0.9996027,0.0001994784,0.00002351958,0.00002430225,0.0001141203,0.00003582014],"domain_scores_gemma":[0.9983473,0.0009186699,0.0001666069,0.0002028891,0.0002582883,0.0001063453],"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":[0.0000374563,0.00003681961,0.0001821828,0.00003188447,0.00001378962,0.00005300699,0.00002323867,0.9800005,0.001348489,0.01141056,0.0001410072,0.006721116],"study_design_scores_gemma":[0.000001352576,0.000003993001,0.00001105855,0.000001502793,8.118775e-7,0.00000299058,0.000001813361,0.9988742,0.0001440387,0.0008754023,0.0000815125,0.000001352585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05363981,0.0001863565,0.9395641,0.0002015903,0.00007019335,0.00004302884,0.00004143042,0.0002644586,0.005988932],"genre_scores_gemma":[0.8661698,0.0002212044,0.1307869,0.00006247978,0.00002770494,0.0001133726,0.00006915262,0.0002191471,0.002330226],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002514703,"threshold_uncertainty_score":0.0057863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01767156806500311,"score_gpt":0.2575783246316138,"score_spread":0.2399067565666107,"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."}}