{"id":"W2726058428","doi":"10.1137/17m1128940","title":"Elasto-plastic Shape Optimization Using the Level Set Method","year":2018,"lang":"en","type":"article","venue":"SIAM Journal on Control and Optimization","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Fonds Unique Interministériel","keywords":"Mathematics; von Mises yield criterion; Shape optimization; Set (abstract data type); Applied mathematics; Plasticity; Stress (linguistics); Mathematical analysis; Mathematical optimization; Finite element method; Structural engineering; Computer science","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":[0.0008202357,0.0006935377,0.001108638,0.0009542643,0.0003744399,0.001129593,0.0008753613,0.001074543,0.001980087],"category_scores_gemma":[0.001059445,0.0006052064,0.001087422,0.0007094192,0.001014252,0.0006467763,0.001363333,0.001135064,0.0006132956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008723364,"about_ca_system_score_gemma":0.001122646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001379026,"about_ca_topic_score_gemma":0.0009486281,"domain_scores_codex":[0.9995652,0.000146802,0.00001612824,0.00003607309,0.0002081813,0.00002770011],"domain_scores_gemma":[0.999655,0.0001776271,0.00003424033,0.00004158003,0.00006921125,0.00002236837],"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":[0.00001855557,0.00001878311,0.00008709326,0.00004862059,0.00002237659,0.0000383511,0.00002271275,0.9523056,0.003596257,0.0321021,0.0003668736,0.01137277],"study_design_scores_gemma":[0.000003717976,0.000006422046,0.00002231107,0.000003651381,0.00000198148,0.00000830909,0.000001720102,0.9932932,0.0004536559,0.005713805,0.0004877454,0.000003583404],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008897753,0.0001837038,0.9855056,0.0001491143,0.00003086491,0.00003970616,0.00004645149,0.0001515754,0.004995264],"genre_scores_gemma":[0.3678216,0.0005658283,0.6220176,0.0001585899,0.00006646964,0.000469906,0.000259352,0.0004078716,0.008232839],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001980087,"threshold_uncertainty_score":0.006624103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01820718358368129,"score_gpt":0.2566429109477579,"score_spread":0.2384357273640766,"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."}}