{"id":{"repo_id":"rice","oai_identifier":"oai:repository.rice.edu:1911/111677"},"canonical_url":"https://search.dev.ndltd.org/etd/rice/oai:repository.rice.edu:1911/111677","repository":{"repo_id":"rice","name":"Rice University","base_url":"https://repository.rice.edu/server/oai/request"},"display":{"title":"Constitutive Modeling of Friction in Bolted Connections","abstract":"Bolted joints are ubiquitous in mechanical engineering, requiring accurate models to optimize designs. However, the exact nature of frictional contact between components is unknown and poses a significant challenge to modeling the nonlinear vibration of assemblies. This thesis applies empirical and physics-based modeling approaches to identify improvements to current models and a potential path towards predictive models of friction in bolted joints. The empirical modeling approach solves a multi-objective optimization to fit 26 friction model/interface representation combinations to experimental data and quantify the model form error. While the empirical models are not physical, the optimized results highlight the benefits of using smooth friction models and the limitations of a common physically motivated model. The physics-based model formulates the frictional force based on contact interactions of surface features and derives parameters from surface scans. While the physics-based model is not completely predictive, results show promising agreement with experiments.","abstract_html":"Bolted joints are ubiquitous in mechanical engineering, requiring accurate models to optimize designs. However, the exact nature of frictional contact between components is unknown and poses a significant challenge to modeling the nonlinear vibration of assemblies. This thesis applies empirical and physics-based modeling approaches to identify improvements to current models and a potential path towards predictive models of friction in bolted joints. The empirical modeling approach solves a multi-objective optimization to fit 26 friction model/interface representation combinations to experimental data and quantify the model form error. While the empirical models are not physical, the optimized results highlight the benefits of using smooth friction models and the limitations of a common physically motivated model. The physics-based model formulates the frictional force based on contact interactions of surface features and derives parameters from surface scans. While the physics-based model is not completely predictive, results show promising agreement with experiments.","abstract_has_math":false,"creators":["Porter, Justin H."],"institution":"Rice University","degree_name":"Master of Science","degree_level":"Masters","degree_discipline":"Engineering","degree_department":null,"school":null,"contributors":[],"advisors":["Brake, Matthew R.W."],"committee_chairs":[],"committee_members":[],"year":2021,"date_issued":"2021-11-16","date_published":"2021-11-16","updated_at":"2026-07-24T04:10:32Z","subjects":["Jointed Structures","Frictional Systems","Hysteretic Systems","Empirical Modeling","Physics-Based Modeling"],"languages":["eng"],"rights":["Copyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/1911/111677","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Brake, Matthew R.W."]},{"key":"dc:creator","label":"Author","values":["Porter, Justin H."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2021-11-23T15:09:16Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2022-06-01T05:01:12Z"]},{"key":"dc:date.issued","label":"Date","values":["2021-11-16"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Masters"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Rice University"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Jointed Structures","Frictional Systems","Hysteretic Systems","Empirical Modeling","Physics-Based Modeling"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright is held by the author, unless otherwise indicated. 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This thesis applies empirical and physics-based modeling approaches to identify improvements to current models and a potential path towards predictive models of friction in bolted joints. The empirical modeling approach solves a multi-objective optimization to fit 26 friction model/interface representation combinations to experimental data and quantify the model form error. While the empirical models are not physical, the optimized results highlight the benefits of using smooth friction models and the limitations of a common physically motivated model. The physics-based model formulates the frictional force based on contact interactions of surface features and derives parameters from surface scans. 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