{"id":"W2206694442","doi":"10.1142/s0219455415500704","title":"Damage Detection of Beams by a Vibration Characteristic Tuning Technique Through an Optimal Design of Piezoelectric Layers","year":2015,"lang":"en","type":"article","venue":"International Journal of Structural Stability and Dynamics","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba","keywords":"Piezoelectricity; Cantilever; Actuator; Vibration; Acoustics; Piezoelectric sensor; Sensitivity (control systems); Beam (structure); Materials science; Structural engineering; Natural frequency; Process (computing); Electronic engineering; Computer science; Engineering; Composite material; Physics; Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002469638,0.0002905567,0.0002582693,0.0002753655,0.0001230089,0.0002242467,0.0003248608,0.0003429501,0.0002969407],"category_scores_gemma":[0.0003965289,0.000313897,0.0002402515,0.0001518495,0.0003030413,0.0004291829,0.0002704957,0.0002352661,0.00007916114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003182701,"about_ca_system_score_gemma":0.000302601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002561231,"about_ca_topic_score_gemma":0.0004857085,"domain_scores_codex":[0.9998166,0.00002272039,0.000008923214,0.00004874017,0.00008237177,0.00002062626],"domain_scores_gemma":[0.999773,0.00006565505,0.00008383142,0.00002912119,0.00003893277,0.000009471251],"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":[0.00005058828,0.00003313537,0.0006567396,0.00009290599,0.00001696013,0.00005677464,0.00005352786,0.04109892,0.9209444,0.003354917,0.0001326834,0.03350847],"study_design_scores_gemma":[0.00003045488,0.0003154537,0.001586215,0.00001631434,0.00002742015,0.0002463154,0.0000225424,0.6555096,0.3382972,0.001743311,0.002173025,0.00003222888],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1975544,0.0005746406,0.800044,0.0001062874,0.0000239382,0.00004609533,0.00002518874,0.0001856579,0.001439738],"genre_scores_gemma":[0.8091837,0.0002377708,0.1899016,0.00002476081,0.000006477157,0.00005003115,0.00001667311,0.00001459004,0.0005643424],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0003429501,"threshold_uncertainty_score":0.002309263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02399701333510892,"score_gpt":0.2816590456729839,"score_spread":0.257662032337875,"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."}}