{"id":"W3096615044","doi":"10.1115/detc2020-22286","title":"Natural Frequency Based Topology Optimization of an Aircraft Engine Support Frame","year":2020,"lang":"en","type":"article","venue":"","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Natural frequency; Frame (networking); Computer science; Topology optimization; Space frame; Aerospace; Frequency domain; Topology (electrical circuits); Control theory (sociology); Mathematical optimization; Engineering; Structural engineering; Acoustics; Vibration; Mathematics; Finite element method; Aerospace engineering; Electrical 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":[0.0005407241,0.0004172593,0.0004317829,0.0004497065,0.0001645392,0.0003682718,0.0003379437,0.0003874776,0.001925629],"category_scores_gemma":[0.0008237247,0.0001953572,0.0003672015,0.0001608483,0.0002910813,0.0002959512,0.0003266817,0.0002829339,0.000180024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000318217,"about_ca_system_score_gemma":0.0004115412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001297225,"about_ca_topic_score_gemma":0.001626024,"domain_scores_codex":[0.9998484,0.00006061946,0.000004837327,0.00001881734,0.00004629929,0.00002103533],"domain_scores_gemma":[0.9997372,0.0001359994,0.00003358435,0.00002170943,0.00006027769,0.00001117011],"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":[0.00005537543,0.00003089711,0.0004451924,0.00004612327,0.000008800984,0.0000462709,0.00002134298,0.9688967,0.01146401,0.002920225,0.0001569543,0.01590811],"study_design_scores_gemma":[0.000008634097,0.0001248996,0.0002281426,0.000004133608,0.000004123237,0.00001465765,0.00001434503,0.9955606,0.002853541,0.0006308343,0.0005526844,0.000003360183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4471793,0.0001717179,0.5414032,0.0001026272,0.00003272044,0.00007975029,0.00008909583,0.0001649504,0.01077674],"genre_scores_gemma":[0.9333987,0.00005584399,0.06455094,0.00001561206,0.000005418532,0.00005181923,0.00006349842,0.00003495641,0.001823177],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001925629,"threshold_uncertainty_score":0.006441832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006577238984390481,"score_gpt":0.2070890296647867,"score_spread":0.2005117906803962,"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."}}