{"id":"W4412754852","doi":"10.11159/iccste25.368","title":"Numerical Investigation of Fluid–Structure Interaction in LNG Storage Tanks under Seismic Loading","year":2025,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Civil, Structural and Transportation Engineering","topic":"Spacecraft and Cryogenic Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fluid–structure interaction; Storage tank; Petroleum engineering; Geology; Marine engineering; Engineering; Structural engineering; Mechanical engineering; Finite element method","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0002708275,0.0004907409,0.0005093111,0.0005219561,0.0006818498,0.0006541568,0.0005796996,0.00140795,0.001989749],"category_scores_gemma":[0.0008156869,0.0002424593,0.0004469655,0.0004864102,0.001018328,0.0004521751,0.0007377069,0.000525227,0.0001608116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005547791,"about_ca_system_score_gemma":0.0006928378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01377794,"about_ca_topic_score_gemma":0.007590671,"domain_scores_codex":[0.9998488,0.00003093587,0.000009360494,0.00002393938,0.00004297991,0.00004387002],"domain_scores_gemma":[0.9996767,0.0001532157,0.00006825021,0.00001834318,0.00004837223,0.00003508097],"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":[0.00007822532,0.00005009271,0.004324254,0.00006045297,0.00001558275,0.0004123132,0.0001132296,0.9834119,0.007452942,0.001276638,0.0002575083,0.002546894],"study_design_scores_gemma":[0.000005744409,0.0000240131,0.0006692303,0.000005277709,0.000003392561,0.00002124713,0.00006541827,0.9982489,0.0006618194,0.0001380267,0.0001515092,0.00000537374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9643117,0.0002477196,0.02225436,0.0003607719,0.0000523291,0.00005730075,0.0003022412,0.0002019194,0.01221179],"genre_scores_gemma":[0.9939588,0.00007949083,0.003857364,0.00003098286,0.000007067476,0.00003626647,0.00008841715,0.00001644876,0.001925084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01377794,"threshold_uncertainty_score":0.02739549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01042735530287896,"score_gpt":0.2163272052689309,"score_spread":0.2058998499660519,"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."}}