{"id":"W3209940208","doi":"10.1016/j.coco.2021.100967","title":"Efficient finite element simulation of compression after impact behaviour in quasi-isotropic composite laminates","year":2021,"lang":"en","type":"article","venue":"Composites Communications","topic":"Mechanical Behavior of Composites","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Composite laminates; Materials science; Residual strength; Isotropy; Finite element method; Residual; Compression (physics); Structural engineering; Transverse plane; Composite material; Composite number; Izod impact strength test; Computer science; Engineering; Ultimate tensile strength; Algorithm; Physics","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":[0.0002215456,0.0003930962,0.0005008393,0.0004292314,0.000448698,0.0006699382,0.00079624,0.001097938,0.003169805],"category_scores_gemma":[0.001005338,0.0003988605,0.0002902657,0.0004351226,0.0006276559,0.0004621829,0.0003802949,0.0004725584,0.0003433008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006189446,"about_ca_system_score_gemma":0.0007100594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007820912,"about_ca_topic_score_gemma":0.007946226,"domain_scores_codex":[0.9998904,0.00002140073,0.000004238571,0.00001068425,0.00004242233,0.00003076044],"domain_scores_gemma":[0.9994753,0.000312017,0.00005080477,0.00004222469,0.00008248883,0.00003724799],"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":[0.00009018194,0.00008625374,0.0007414345,0.00003123052,0.000009110154,0.0000724081,0.00006066429,0.9896289,0.005530014,0.001129017,0.0001233715,0.002497379],"study_design_scores_gemma":[0.000005509174,0.00001342576,0.0001625925,0.000001443907,0.000001046703,0.000004444283,0.00001032218,0.9989503,0.0007176921,0.00008333044,0.00004827521,0.000001628723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9412761,0.0001239845,0.04165367,0.0001572263,0.00003401165,0.00004579758,0.0001690573,0.0004673231,0.01607289],"genre_scores_gemma":[0.9910102,0.00003884198,0.006764059,0.00002334798,0.00000459507,0.00002480979,0.00007735472,0.00006873422,0.001988072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007820912,"threshold_uncertainty_score":0.01555079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02001912769778615,"score_gpt":0.2972480081899994,"score_spread":0.2772288804922132,"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."}}