{"id":"W2141895344","doi":"10.1002/nag.2233","title":"Frictional contact algorithms in SPH for the simulation of soil–structure interaction","year":2013,"lang":"en","type":"article","venue":"International Journal for Numerical and Analytical Methods in Geomechanics","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Fundamental Research Funds for the Central Universities; Natural Science Foundation of Jiangsu Province","keywords":"Smoothed-particle hydrodynamics; Contact dynamics; Pile; Finite element method; Contact force; Discrete element method; Mechanics; Boundary (topology); Boundary value problem; Acceleration; Work (physics); Rotation (mathematics); Boundary element method; Computer science; Algorithm; Engineering; Structural engineering; Physics; Classical mechanics; Mechanical engineering; Mathematics; Geometry; Mathematical analysis","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003128452,0.0001162409,0.0001962373,0.0002482015,0.00005924109,0.00007966784,0.000148641,0.00008673129,0.0001628065],"category_scores_gemma":[0.0005832555,0.00008706916,0.0001256523,0.0001724066,0.00001076229,0.0002934547,0.00002434102,0.0003106512,8.697344e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001453676,"about_ca_system_score_gemma":0.00001819675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004142766,"about_ca_topic_score_gemma":0.00001245547,"domain_scores_codex":[0.9989909,0.00003902912,0.0005326107,0.0001224059,0.0001567615,0.000158275],"domain_scores_gemma":[0.9976587,0.001828328,0.00008513228,0.00006371501,0.0002994738,0.00006464036],"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":[0.00004388893,0.00004152792,0.0001018044,0.000009170341,0.00008969996,4.920229e-7,0.00005205943,0.9258692,0.001338074,0.01029629,0.00006309235,0.06209474],"study_design_scores_gemma":[0.0004898387,0.00006593488,0.0006666271,0.000032089,0.00001859799,0.00002058452,0.0001241708,0.9575509,0.0001307833,0.03863136,0.002179176,0.00008991078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01124367,0.00008639356,0.9860464,0.0005260552,0.00176265,0.0002439911,0.00004251272,0.00001160776,0.00003671268],"genre_scores_gemma":[0.9271444,0.00008483684,0.0723675,0.00006795767,0.0002313081,0.00003595919,0.00001456977,0.00001688381,0.00003656357],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9159008,"threshold_uncertainty_score":0.3550577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02580061846089795,"score_gpt":0.3733197988176811,"score_spread":0.3475191803567831,"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."}}