{"id":"W2753402958","doi":"10.1016/j.engfracmech.2017.09.001","title":"Numerical investigation on the dynamic progressive fracture mechanism of cracked chevron notched semi-circular bend specimens in split Hopkinson pressure bar tests","year":2017,"lang":"en","type":"article","venue":"Engineering Fracture Mechanics","topic":"High-Velocity Impact and Material Behavior","field":"Materials Science","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China","keywords":"Split-Hopkinson pressure bar; Materials science; Chevron (anatomy); Fracture (geology); Structural engineering; Fracture toughness; Bar (unit); Fracture mechanics; Composite material; Dynamic testing; Dynamic loading; Strain rate; Geology; 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":[0.0002733052,0.0002726793,0.000309407,0.0005512722,0.0004887081,0.000299302,0.0008472593,0.0007916722,0.002303139],"category_scores_gemma":[0.0007166086,0.0002822337,0.000265161,0.0003573627,0.0006370215,0.0003087499,0.0002684877,0.0002735539,0.0001281364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003685202,"about_ca_system_score_gemma":0.0004041926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005420153,"about_ca_topic_score_gemma":0.006899958,"domain_scores_codex":[0.9999012,0.00001280425,0.000005593005,0.00001769354,0.00004111792,0.00002156317],"domain_scores_gemma":[0.9996081,0.0002062559,0.00004297579,0.00003832957,0.00007581111,0.00002852389],"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":[0.0004730978,0.0002566139,0.01238883,0.0001819774,0.00003563769,0.0008446219,0.0002723317,0.8310941,0.1340002,0.004120943,0.0003329317,0.01599856],"study_design_scores_gemma":[0.00001489837,0.000136891,0.006337842,0.000007306887,0.00001052484,0.00008087645,0.0000899045,0.9846433,0.008295185,0.0002366575,0.0001347646,0.00001182389],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916225,0.00005625329,0.005981001,0.00002808302,0.000006473143,0.00001681656,0.00007810018,0.00004022044,0.002170468],"genre_scores_gemma":[0.9978726,0.0000259848,0.001442183,0.000003267342,0.000001050326,0.000007171571,0.00002625757,0.000004605231,0.0006168677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005420153,"threshold_uncertainty_score":0.01077718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01358995740135473,"score_gpt":0.2463651087638537,"score_spread":0.2327751513624989,"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."}}