{"id":"W4403269684","doi":"10.3397/in_2024_3142","title":"Experimental identification of the bending stiffness and damping of plates using the frequency-adapted virtual fields Method","year":2024,"lang":"en","type":"article","venue":"NOISE-CON proceedings","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Stiffness; Bending; Piecewise; Bending stiffness; Finite element method; Virtual work; Frequency domain; Discretization; Natural frequency; Structural engineering; Frequency response; Computer science; Acoustics; Mathematics; Mathematical analysis; Physics; Vibration; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004613362,0.0003982277,0.0001488039,0.0005754774,0.0002210034,0.0001875244,0.0004347078,0.0004653971,0.00228733],"category_scores_gemma":[0.001010098,0.0001971175,0.000178358,0.0002366549,0.000700866,0.000380474,0.0003481,0.0003433344,0.0002606189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001386939,"about_ca_system_score_gemma":0.0001679066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006359063,"about_ca_topic_score_gemma":0.0007431566,"domain_scores_codex":[0.9997391,0.00004169007,0.00001215508,0.00005327026,0.0001227557,0.00003097235],"domain_scores_gemma":[0.9993875,0.0003089199,0.00006198878,0.00009418848,0.0001199244,0.00002750583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002129796,0.00005289135,0.0009266044,0.00009145057,0.000006541891,0.00008434058,0.0001566263,0.003701469,0.9785882,0.0003885487,0.0000687587,0.01572156],"study_design_scores_gemma":[0.0000308647,0.00104388,0.01618352,0.00002922478,0.00001901352,0.0003096779,0.0003030095,0.03773329,0.9427636,0.0003353104,0.001210409,0.00003814773],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8803541,0.0002554653,0.1161808,0.00006365714,0.00006056259,0.00009352748,0.0001520515,0.0002283699,0.002611463],"genre_scores_gemma":[0.9733844,0.00009183976,0.02518327,0.00001452608,0.000006015883,0.00005244097,0.00005149632,0.00001477994,0.001201174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00228733,"threshold_uncertainty_score":0.007651865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02865968250786328,"score_gpt":0.3207772057391917,"score_spread":0.2921175232313284,"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."}}