{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/109391"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/109391","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Wind shielding in refining and petrochemical facilities","abstract":"The most influential climatic load affecting the structural design of gulf coast refining and petrochemical facilities is wind. Despite this fact, little has been done to customize wind design for these unique facilities. This paper proposes a probabilistic model to predict the magnitude of shielding that is provided by the vast network of pipe rack structures that encircle these densely arranged facilities. The probabilistic model is built from data obtained through a broad sampling of pipe rack configurations simulated with hurricane-force winds using computational fluid dynamics (CFD). The CFD simulation approach is validated against published wind tunnel data that relate the proposed methodology to code-recognized procedures (i.e. wind load reductions corroborated by wind tunnel testing). A reliability analysis is then carried out to re-calibrate the LRFD design equation to include the proposed shielding effects while maintaining the code-specified level of reliability.","abstract_html":"The most influential climatic load affecting the structural design of gulf coast refining and petrochemical facilities is wind. Despite this fact, little has been done to customize wind design for these unique facilities. This paper proposes a probabilistic model to predict the magnitude of shielding that is provided by the vast network of pipe rack structures that encircle these densely arranged facilities. The probabilistic model is built from data obtained through a broad sampling of pipe rack configurations simulated with hurricane-force winds using computational fluid dynamics (CFD). The CFD simulation approach is validated against published wind tunnel data that relate the proposed methodology to code-recognized procedures (i.e. wind load reductions corroborated by wind tunnel testing). A reliability analysis is then carried out to re-calibrate the LRFD design equation to include the proposed shielding effects while maintaining the code-specified level of reliability.","abstract_has_math":false,"creators":["Barto, Jeffrey"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Civil Engineering","degree_department":null,"school":null,"contributors":["Gardoni, Paolo"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2021,"date_issued":"2021-03-05T21:38:07Z","date_published":"2021-03-05T21:38:07Z","updated_at":"2026-07-22T22:24:50Z","subjects":["Shielding","Reliability","Wind","Industrial","Performance-Based Design"],"languages":["en"],"rights":["Copyright 2020 Jeffrey Barto"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/109391","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Gardoni, Paolo"]},{"key":"dc:creator","label":"Author","values":["Barto, Jeffrey"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2021-03-05T21:38:07Z","2020-11-30","2020-12"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Civil Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Shielding","Reliability","Wind","Industrial","Performance-Based Design"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2020 Jeffrey Barto"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/109391"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["The most influential climatic load affecting the structural design of gulf coast refining and petrochemical facilities is wind. Despite this fact, little has been done to customize wind design for these unique facilities. This paper proposes a probabilistic model to predict the magnitude of shielding that is provided by the vast network of pipe rack structures that encircle these densely arranged facilities. The probabilistic model is built from data obtained through a broad sampling of pipe rack configurations simulated with hurricane-force winds using computational fluid dynamics (CFD). The CFD simulation approach is validated against published wind tunnel data that relate the proposed methodology to code-recognized procedures (i.e. wind load reductions corroborated by wind tunnel testing). A reliability analysis is then carried out to re-calibrate the LRFD design equation to include the proposed shielding effects while maintaining the code-specified level of reliability.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2021-03-04 without embargo terms","The student, Jeffrey Barto, accepted the attached license on 2020-11-26 at 09:51.","The student, Jeffrey Barto, submitted this Thesis for approval on 2020-11-26 at 09:55.","This Thesis was approved for publication on 2020-11-30 at 16:22.","DSpace SAF Submission Ingestion Package generated from Vireo submission #15966 on 2021-03-04 at 15:35:08","Made available in DSpace on 2021-03-05T21:38:07Z (GMT). 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The probabilistic model is built from data obtained through a broad sampling of pipe rack configurations simulated with hurricane-force winds using computational fluid dynamics (CFD). The CFD simulation approach is validated against published wind tunnel data that relate the proposed methodology to code-recognized procedures (i.e. wind load reductions corroborated by wind tunnel testing). A reliability analysis is then carried out to re-calibrate the LRFD design equation to include the proposed shielding effects while maintaining the code-specified level of reliability.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2021-03-04 without embargo terms","The student, Jeffrey Barto, accepted the attached license on 2020-11-26 at 09:51.","The student, Jeffrey Barto, submitted this Thesis for approval on 2020-11-26 at 09:55.","This Thesis was approved for publication on 2020-11-30 at 16:22.","DSpace SAF Submission Ingestion Package generated from Vireo submission #15966 on 2021-03-04 at 15:35:08","Made available in DSpace on 2021-03-05T21:38:07Z (GMT). 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