{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/108585"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/108585","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Methods for the integrated design of viscoelastic materials and structural geometry","abstract":"Design engineers have traditionally selected simple materials, including linear elastic solids and Newtonian fluids, for their designs, and optimize designed systems within the limitations of preselected materials. However, allowing complex materials (e.g., viscoelastic materials and soft solids) as options for system materials can eliminate some associated limitations on design freedom. Furthermore, designing material characteristics may open up avenues to unprecedented designs with optimal materials. This dissertation research presents integrated design methodologies for the system-level performance-driven design of structural geometry and viscoelastic material properties. By relaxing unnecessary assumptions and optimizing system-level performance by searching the rich spectrum of possible design options throughout the combined structural and material design space, the studies in this dissertation seek to obtain design improvements, which previously were inaccessible using conventional design paradigms and assumptions. Achieving this integrated design of structural geometry and viscoelastic material properties has many underlying challenges. One of the main challenges is how to formulate design representations that can efficiently and effectively model the system behavior within the limits of physics, but are not restrictive with respect to other factors to allow full design exploration freedom. Another challenge comes from the numerical implementations and limits on computational resources available to design engineers. Higher-fidelity models or models with complex behavior (e.g., viscoelastic stress relaxation) are generally more expensive to solve. However, the computational cost of numerical models is a crucial factor in the success of integrated and multidisciplinary design optimization. Not all models are design-appropriate. Specifically, quantities defining viscoelastic constitutive relations are interrelated to each other, and not all are independently controllable. Such challenges obstruct design with and of complex materials and integrated design associated with these material models. Thus, identifying underlying challenges and overcoming them are the main purposes of this dissertation research. This dissertation is organized into two parts. The chapters in Part I present methodologies for designing surface texture geometries and other challenging design problems. Studies in this part present surface texture parameterizations for enhancing the lubricated frictional performance indices by eliminating unnecessary design constraints (Chapter 2), high-dimensional design optimization of surfaces texture using linearization, sequential linear programming, and trust-region methods (Chapter 3), and novel efficient sampling and implicit constraint generation methods for multiobjective surrogate-based optimization for challenging problems (Chapter 4). The chapters in Part II present integrated design studies and methodologies that apply to the design problems of viscoelastic material systems. Studies in this part present numerical methods for efficiently solving viscoelastic stress relaxation with convolution integrals (Chapter 5), a design-appropriate continuous stress relaxation spectra design representation and its use in the linear viscoelastic design problem (Chapter 6), and method for a simultaneous design of surface texture and non-Newtonian lubricant properties using nonlinear viscoelastic models to achieve better tribological performance beyond the results of the study presented in the earlier chapter that demonstrated surface texture design (Chapter 7). The methodologies and design studies presented in this dissertation have an impact on exploring previously-unexplored design spaces from an integrated structural and material systems design perspective. The contributions presented in this dissertation open up new possibilities for design engineers to better use complex materials in the system-level performance-driven design studies incorporating a new material design paradigm.","abstract_html":"Design engineers have traditionally selected simple materials, including linear elastic solids and Newtonian fluids, for their designs, and optimize designed systems within the limitations of preselected materials. However, allowing complex materials (e.g., viscoelastic materials and soft solids) as options for system materials can eliminate some associated limitations on design freedom. Furthermore, designing material characteristics may open up avenues to unprecedented designs with optimal materials. This dissertation research presents integrated design methodologies for the system-level performance-driven design of structural geometry and viscoelastic material properties. By relaxing unnecessary assumptions and optimizing system-level performance by searching the rich spectrum of possible design options throughout the combined structural and material design space, the studies in this dissertation seek to obtain design improvements, which previously were inaccessible using conventional design paradigms and assumptions. Achieving this integrated design of structural geometry and viscoelastic material properties has many underlying challenges. One of the main challenges is how to formulate design representations that can efficiently and effectively model the system behavior within the limits of physics, but are not restrictive with respect to other factors to allow full design exploration freedom. Another challenge comes from the numerical implementations and limits on computational resources available to design engineers. Higher-fidelity models or models with complex behavior (e.g., viscoelastic stress relaxation) are generally more expensive to solve. However, the computational cost of numerical models is a crucial factor in the success of integrated and multidisciplinary design optimization. Not all models are design-appropriate. Specifically, quantities defining viscoelastic constitutive relations are interrelated to each other, and not all are independently controllable. Such challenges obstruct design with and of complex materials and integrated design associated with these material models. Thus, identifying underlying challenges and overcoming them are the main purposes of this dissertation research. This dissertation is organized into two parts. The chapters in Part I present methodologies for designing surface texture geometries and other challenging design problems. Studies in this part present surface texture parameterizations for enhancing the lubricated frictional performance indices by eliminating unnecessary design constraints (Chapter 2), high-dimensional design optimization of surfaces texture using linearization, sequential linear programming, and trust-region methods (Chapter 3), and novel efficient sampling and implicit constraint generation methods for multiobjective surrogate-based optimization for challenging problems (Chapter 4). The chapters in Part II present integrated design studies and methodologies that apply to the design problems of viscoelastic material systems. Studies in this part present numerical methods for efficiently solving viscoelastic stress relaxation with convolution integrals (Chapter 5), a design-appropriate continuous stress relaxation spectra design representation and its use in the linear viscoelastic design problem (Chapter 6), and method for a simultaneous design of surface texture and non-Newtonian lubricant properties using nonlinear viscoelastic models to achieve better tribological performance beyond the results of the study presented in the earlier chapter that demonstrated surface texture design (Chapter 7). The methodologies and design studies presented in this dissertation have an impact on exploring previously-unexplored design spaces from an integrated structural and material systems design perspective. The contributions presented in this dissertation open up new possibilities for design engineers to better use complex materials in the system-level performance-driven design studies incorporating a new material design paradigm.","abstract_has_math":false,"creators":["Lee, Yong Hoon"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Mechanical Engineering","degree_department":null,"school":null,"contributors":["Allison, James T","Ewoldt, Randy H","Wang, Pingfeng","Gazzola, Mattia"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2020,"date_issued":"2020-10-07T22:44:26Z","date_published":"2020-10-07T22:44:26Z","updated_at":"2026-07-22T22:24:48Z","subjects":["linear time-invariant","integrated design","optimization","non-Newtonian fluid","lubrication","tribology","rheology","shape optimization","system design","viscoelasticity","stress relaxation","numerical methods","surrogate-based optimization","metamodel","sampling","linearization","trust-region method","state-space approximation","polymer","polymeric solution","Criminale-Ericksen-Filbey","Giesekus"],"languages":["en"],"rights":["Copyright 2020 by Yong Hoon Lee. All rights reserved."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/108585","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Allison, James T","Ewoldt, Randy H","Wang, Pingfeng","Gazzola, Mattia"]},{"key":"dc:creator","label":"Author","values":["Lee, Yong Hoon"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2020-10-07T22:44:26Z","2022-10-07T22:44:53Z","2020-07-15","2020-08"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Mechanical Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"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":["linear time-invariant","integrated design","optimization","non-Newtonian fluid","lubrication","tribology","rheology","shape optimization","system design","viscoelasticity","stress relaxation","numerical methods","surrogate-based optimization","metamodel","sampling","linearization","trust-region method","state-space approximation","polymer","polymeric solution","Criminale-Ericksen-Filbey","Giesekus"]}]},{"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 by Yong Hoon Lee. 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By relaxing unnecessary assumptions and optimizing system-level performance by searching the rich spectrum of possible design options throughout the combined structural and material design space, the studies in this dissertation seek to obtain design improvements, which previously were inaccessible using conventional design paradigms and assumptions. Achieving this integrated design of structural geometry and viscoelastic material properties has many underlying challenges. One of the main challenges is how to formulate design representations that can efficiently and effectively model the system behavior within the limits of physics, but are not restrictive with respect to other factors to allow full design exploration freedom. Another challenge comes from the numerical implementations and limits on computational resources available to design engineers. Higher-fidelity models or models with complex behavior (e.g., viscoelastic stress relaxation) are generally more expensive to solve. However, the computational cost of numerical models is a crucial factor in the success of integrated and multidisciplinary design optimization. Not all models are design-appropriate. Specifically, quantities defining viscoelastic constitutive relations are interrelated to each other, and not all are independently controllable. Such challenges obstruct design with and of complex materials and integrated design associated with these material models. Thus, identifying underlying challenges and overcoming them are the main purposes of this dissertation research. This dissertation is organized into two parts. The chapters in Part I present methodologies for designing surface texture geometries and other challenging design problems. Studies in this part present surface texture parameterizations for enhancing the lubricated frictional performance indices by eliminating unnecessary design constraints (Chapter 2), high-dimensional design optimization of surfaces texture using linearization, sequential linear programming, and trust-region methods (Chapter 3), and novel efficient sampling and implicit constraint generation methods for multiobjective surrogate-based optimization for challenging problems (Chapter 4). The chapters in Part II present integrated design studies and methodologies that apply to the design problems of viscoelastic material systems. Studies in this part present numerical methods for efficiently solving viscoelastic stress relaxation with convolution integrals (Chapter 5), a design-appropriate continuous stress relaxation spectra design representation and its use in the linear viscoelastic design problem (Chapter 6), and method for a simultaneous design of surface texture and non-Newtonian lubricant properties using nonlinear viscoelastic models to achieve better tribological performance beyond the results of the study presented in the earlier chapter that demonstrated surface texture design (Chapter 7). The methodologies and design studies presented in this dissertation have an impact on exploring previously-unexplored design spaces from an integrated structural and material systems design perspective. The contributions presented in this dissertation open up new possibilities for design engineers to better use complex materials in the system-level performance-driven design studies incorporating a new material design paradigm.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2022-08-01","The student, Yong Hoon Lee, accepted the attached license on 2020-07-09 at 12:51.","The student, Yong Hoon Lee, submitted this Dissertation for approval on 2020-07-09 at 13:44.","This Dissertation was approved for publication on 2020-07-15 at 07:03.","DSpace SAF Submission Ingestion Package generated from Vireo submission #15527 on 2020-10-02 at 15:31:41","Made available in DSpace on 2020-10-07T22:44:26Z (GMT). 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However, allowing complex materials (e.g., viscoelastic materials and soft solids) as options for system materials can eliminate some associated limitations on design freedom. Furthermore, designing material characteristics may open up avenues to unprecedented designs with optimal materials. This dissertation research presents integrated design methodologies for the system-level performance-driven design of structural geometry and viscoelastic material properties. By relaxing unnecessary assumptions and optimizing system-level performance by searching the rich spectrum of possible design options throughout the combined structural and material design space, the studies in this dissertation seek to obtain design improvements, which previously were inaccessible using conventional design paradigms and assumptions. Achieving this integrated design of structural geometry and viscoelastic material properties has many underlying challenges. One of the main challenges is how to formulate design representations that can efficiently and effectively model the system behavior within the limits of physics, but are not restrictive with respect to other factors to allow full design exploration freedom. Another challenge comes from the numerical implementations and limits on computational resources available to design engineers. Higher-fidelity models or models with complex behavior (e.g., viscoelastic stress relaxation) are generally more expensive to solve. However, the computational cost of numerical models is a crucial factor in the success of integrated and multidisciplinary design optimization. Not all models are design-appropriate. Specifically, quantities defining viscoelastic constitutive relations are interrelated to each other, and not all are independently controllable. Such challenges obstruct design with and of complex materials and integrated design associated with these material models. Thus, identifying underlying challenges and overcoming them are the main purposes of this dissertation research. This dissertation is organized into two parts. The chapters in Part I present methodologies for designing surface texture geometries and other challenging design problems. Studies in this part present surface texture parameterizations for enhancing the lubricated frictional performance indices by eliminating unnecessary design constraints (Chapter 2), high-dimensional design optimization of surfaces texture using linearization, sequential linear programming, and trust-region methods (Chapter 3), and novel efficient sampling and implicit constraint generation methods for multiobjective surrogate-based optimization for challenging problems (Chapter 4). The chapters in Part II present integrated design studies and methodologies that apply to the design problems of viscoelastic material systems. Studies in this part present numerical methods for efficiently solving viscoelastic stress relaxation with convolution integrals (Chapter 5), a design-appropriate continuous stress relaxation spectra design representation and its use in the linear viscoelastic design problem (Chapter 6), and method for a simultaneous design of surface texture and non-Newtonian lubricant properties using nonlinear viscoelastic models to achieve better tribological performance beyond the results of the study presented in the earlier chapter that demonstrated surface texture design (Chapter 7). The methodologies and design studies presented in this dissertation have an impact on exploring previously-unexplored design spaces from an integrated structural and material systems design perspective. The contributions presented in this dissertation open up new possibilities for design engineers to better use complex materials in the system-level performance-driven design studies incorporating a new material design paradigm.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2022-08-01","The student, Yong Hoon Lee, accepted the attached license on 2020-07-09 at 12:51.","The student, Yong Hoon Lee, submitted this Dissertation for approval on 2020-07-09 at 13:44.","This Dissertation was approved for publication on 2020-07-15 at 07:03.","DSpace SAF Submission Ingestion Package generated from Vireo submission #15527 on 2020-10-02 at 15:31:41","Made available in DSpace on 2020-10-07T22:44:26Z (GMT). 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