{"id":"W4410981381","doi":"10.1139/tcsme-2025-0029","title":"Semi-analytical modeling and thermomechanical coupling vibration analysis of hard-coating thin-walled cylindrical shell under thermal environments and arbitrary boundary conditions","year":2025,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Composite Structure Analysis and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Coating; Materials science; Shell (structure); Thermal; Vibration; Coupling (piping); Boundary value problem; Thermomechanical analysis; Composite material; Thermal analysis; Boundary (topology); Finite element method; Structural engineering; Mechanics; Mechanical engineering; Thermal expansion; Engineering; Physics; Mathematical analysis; Mathematics; Acoustics; Thermodynamics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001726247,0.0001570763,0.0003479178,0.0001716283,0.0002358504,0.00003584392,0.0001179182,0.0001795971,0.00002283483],"category_scores_gemma":[0.00001343331,0.0001464039,0.0004660412,0.0005232868,0.00004274527,0.00009832388,0.00001133196,0.0002492075,4.984171e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001639357,"about_ca_system_score_gemma":0.00005863103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005325134,"about_ca_topic_score_gemma":0.001474548,"domain_scores_codex":[0.9990783,0.000009375054,0.000385095,0.0001920413,0.0001365848,0.0001986482],"domain_scores_gemma":[0.9994973,0.0001348003,0.0000382096,0.0001869584,0.00002975781,0.0001129749],"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":[0.000003662863,0.000007954002,0.00001577197,0.00005284114,0.001701726,6.353559e-8,0.00009774399,0.9658331,0.0287099,0.003476932,0.000001971711,0.00009838094],"study_design_scores_gemma":[0.0002299121,0.00001112263,0.0004075098,0.00003504198,0.002322957,6.987017e-7,0.00007993155,0.993982,0.002475115,0.0003240801,0.00001060097,0.0001210061],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2449499,0.0001818393,0.7543597,0.0001616603,0.00006790134,0.0001687455,0.00006589583,0.00002605352,0.00001830999],"genre_scores_gemma":[0.9919775,0.00004784941,0.007819434,0.00006528867,0.00001241894,0.00001425182,0.0000295475,0.00002025772,0.0000134946],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7470276,"threshold_uncertainty_score":0.5970178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007290813298319115,"score_gpt":0.2001094452080018,"score_spread":0.1928186319096827,"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."}}