{"id":"W4387807716","doi":"10.1016/j.engfracmech.2023.109681","title":"Damage progression and strength prediction of open-hole CFRP laminates containing ply gaps","year":2023,"lang":"en","type":"article","venue":"Engineering Fracture Mechanics","topic":"Mechanical Behavior of Composites","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Japan Science and Technology Agency; Council for Science, Technology and Innovation; Mitsubishi Heavy Industries; Swine Innovation Porc","keywords":"Materials science; Finite element method; Structural engineering; Composite material; Ultimate tensile strength; Shell (structure); Composite laminates; Stress (linguistics); Stress concentration; Composite number; Fracture mechanics; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002303274,0.0003777962,0.0002503352,0.000596577,0.0002104209,0.0002252496,0.0003115812,0.0006891526,0.0007080714],"category_scores_gemma":[0.0005008486,0.0002047645,0.0002738647,0.0002029657,0.0002692675,0.0003360374,0.0001528902,0.0002324773,0.0001661468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002803184,"about_ca_system_score_gemma":0.0001365788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00236324,"about_ca_topic_score_gemma":0.003342532,"domain_scores_codex":[0.9999131,0.000008639584,0.000003898856,0.00002616706,0.00003064775,0.00001748443],"domain_scores_gemma":[0.9995097,0.0001579951,0.0001262491,0.00004392294,0.0001333785,0.00002873009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001176604,0.0005194145,0.04733307,0.0001285477,0.000035239,0.000345239,0.0001731794,0.4994797,0.4089855,0.0005389156,0.0003291407,0.04095542],"study_design_scores_gemma":[0.000006983583,0.0004225681,0.04209084,0.000008059963,0.00001221247,0.00006232615,0.0000419344,0.887881,0.06924769,0.0001017159,0.0001124928,0.00001215062],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965264,0.00003714929,0.003022036,0.00000446437,0.000002455005,0.000004093947,0.00003686244,0.00005253949,0.0003139912],"genre_scores_gemma":[0.999149,0.00001222881,0.0006012396,0.000001070174,6.138417e-7,0.000002062834,0.00003331139,0.000003548907,0.0001969028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00236324,"threshold_uncertainty_score":0.004698992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01051972379150311,"score_gpt":0.2458119670695924,"score_spread":0.2352922432780893,"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."}}