{"id":"W2806856384","doi":"10.1115/1.4040421","title":"Elastic Interaction in Bolted Flange Joints: An Analytical Model to Predict and Optimize Bolt Load","year":2018,"lang":"en","type":"article","venue":"Journal of Pressure Vessel Technology","topic":"Engineering Structural Analysis Methods","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Flange; Bolted joint; Structural engineering; Finite element method; Gasket; Engineering; Tension (geology); Preload; Joint (building); Compression (physics); Materials science; Mechanical engineering; Composite material","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":[0.0002882537,0.0007317435,0.0006312215,0.0006016421,0.0003968377,0.0007457017,0.001330124,0.001572279,0.002343248],"category_scores_gemma":[0.0008555998,0.0006788106,0.0007420282,0.0005228982,0.0005616305,0.0007237407,0.0004010549,0.0005505151,0.0008786057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008833147,"about_ca_system_score_gemma":0.001019156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007913578,"about_ca_topic_score_gemma":0.006080536,"domain_scores_codex":[0.9998049,0.00003067318,0.000007808659,0.00003653823,0.00008532224,0.00003472516],"domain_scores_gemma":[0.9998047,0.0000671461,0.00005036719,0.00001741379,0.00005073827,0.000009584068],"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":[0.00001265848,0.00001490697,0.0002593083,0.00002311221,0.00000529216,0.0000701333,0.00003213467,0.9898686,0.004715308,0.001135669,0.0001191613,0.00374369],"study_design_scores_gemma":[0.000001963329,0.00001187812,0.0001062501,0.000003462874,0.00000400581,0.00001303329,0.000005764522,0.9987193,0.0006289182,0.0001984274,0.000303028,0.000003886009],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09644873,0.0006605965,0.8802238,0.0001938063,0.00004472052,0.0001033918,0.0002025185,0.0009093682,0.0212131],"genre_scores_gemma":[0.94787,0.0007618335,0.03683793,0.00005047857,0.00002334908,0.0002453399,0.0001276877,0.0002092712,0.01387404],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007913578,"threshold_uncertainty_score":0.01573503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01654723103263976,"score_gpt":0.2906765573135068,"score_spread":0.274129326280867,"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."}}