{"id":"W2068890635","doi":"10.1016/j.compstruc.2010.09.008","title":"Modeling thick composite laminate and sandwich structures with linear viscoelastic damping","year":2011,"lang":"en","type":"article","venue":"Computers & Structures","topic":"Composite Structure Analysis and Optimization","field":"Engineering","cited_by":68,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke; National Research Council Canada","funders":"","keywords":"Orthotropic material; Viscoelasticity; Finite element method; Materials science; Boundary value problem; Shearing (physics); Composite number; Composite material; Structural engineering; Mathematical analysis; Mathematics; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00004814033,0.0003693578,0.0003732504,0.0002069086,0.0001964936,0.0001170092,0.0002369552,0.0001113135,0.00003518877],"category_scores_gemma":[0.000003756333,0.0002923585,0.00006412071,0.0002370756,0.00007598391,0.0001944968,0.00009073286,0.0002855741,0.000001190847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003383346,"about_ca_system_score_gemma":0.00001141339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005743748,"about_ca_topic_score_gemma":0.00004175949,"domain_scores_codex":[0.9987695,0.00003368475,0.0002947437,0.0003706859,0.0002057812,0.0003255637],"domain_scores_gemma":[0.999413,0.00003426761,0.0000515558,0.0002954714,0.00007969829,0.000125983],"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":[0.00003924032,0.000003965435,0.0009458054,0.00008292955,0.0002053744,0.00001523088,0.001712922,0.9897407,0.001284958,0.001202269,0.00003150632,0.00473514],"study_design_scores_gemma":[0.0004138279,0.00006234358,0.01072414,0.00006281502,0.0001398092,0.00006989419,0.00005542173,0.9842274,0.001447239,0.00235167,0.00003863983,0.0004067678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5613257,0.0005263467,0.4371464,0.00000782928,0.0002472316,0.0001138938,0.00000508356,0.0002282214,0.0003993101],"genre_scores_gemma":[0.9218146,0.00005965476,0.07781307,0.00007014448,0.0001514726,0.00000260532,0.00003245072,0.00005174294,0.000004334207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3604889,"threshold_uncertainty_score":0.9999529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009475692044789404,"score_gpt":0.1931757777333835,"score_spread":0.1837000856885941,"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."}}