{"id":{"repo_id":"buffalo","oai_identifier":"oai:ubir.buffalo.edu:10477/83856"},"canonical_url":"https://search.dev.ndltd.org/etd/buffalo/oai:ubir.buffalo.edu:10477/83856","repository":{"repo_id":"buffalo","name":"Buffalo","base_url":"https://ubir.buffalo.edu/oai/request"},"display":{"title":"A Numerically Effective Methodology for Risk-Based Design of Control Systems for Stochastic Structures","abstract":"Ph.D.","abstract_html":"Ph.D.","abstract_has_math":false,"creators":["Goswami, Kundan; 0000-0003-4138-279X"],"institution":"State University of New York at Buffalo","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Dargush, Gary","Mechanical and Aerospace Engineering"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2022,"date_issued":"2022-06-17T19:54:49Z","date_published":"2022-06-17T19:54:49Z","updated_at":"2026-07-27T19:05:28Z","subjects":["mechanical engineering","civil engineering","statistics"],"languages":["eng"],"rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10477/83856","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Dargush, Gary","Mechanical and Aerospace Engineering"]},{"key":"dc:creator","label":"Author","values":["Goswami, Kundan; 0000-0003-4138-279X"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2022-06-17T19:54:49Z","2020"]},{"key":"dc:publisher","label":"Institution","values":["State University of New York at Buffalo"]},{"key":"dc:type","label":"Dc Type","values":["Text","Dissertation"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["mechanical engineering","civil engineering","statistics"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/10477/83856"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Ph.D.","Failure of structural systems under the action of dynamic loads can be alleviated via active and passive control techniques. The structural systems, control systems, and dynamic loads typically show significant variations in practice. If the uncertainties in structural and control systems and the randomness of dynamic loads are not accounted for properly, the designed controlled systems might fail. To this end, a methodology for solving an Optimization Under Uncertainty (OUU) problem is developed in the present work that will rigorously account for various uncertainties and result in a cost-effective design of systems that satisfy user-prescribed reliability. The methodology is devised using two novel numerically effective schemes that are based on the Importance Sampling (IS) technique. The methodology requires only a single set of high resolution simulation results, which are reused throughout the optimization process. Numerical results indicate that, for a given sample budget, the proposed methodology is likely to ensure a feasible sub-optimal solution of an OUU problem. Using OUU problem formulations, risk-based methodologies for design of active and passive control systems are also developed in the present work. The OUU problem formulation for risk-based design of active control systems is based on the Quadratic Partial Eigenvalue Assignment (QPEA) technique, which is used here within a probabilistic framework for the first time. The methodology for risk-based design of passive control systems is first developed for generic passive dampers and then tailored for nonlinear viscous fluid dampers. Numerical illustrations using a few linear and/or nonlinear civil and aerospace structures, subjected to random dynamic loads, indicate that the control systems designed via the proposed methodologies are likely to ensure satisfactory performance of structural systems. Hence, the proposed risk-based design methodologies might be useful for practical design of various active and passive control systems.","**To request an accessible version of the file(s) associated with this item, contact library@buffalo.edu. Please include the item's persistent URL [http://hdl.handle.net/. . .] in your request.**"]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["A Numerically Effective Methodology for Risk-Based Design of Control Systems for Stochastic Structures"]}]}],"canonical_facts":{"dc:contributor":["Dargush, Gary","Mechanical and Aerospace Engineering"],"dc:creator":["Goswami, Kundan; 0000-0003-4138-279X"],"dc:date":["2022-06-17T19:54:49Z","2020"],"dc:description":["Ph.D.","Failure of structural systems under the action of dynamic loads can be alleviated via active and passive control techniques. The structural systems, control systems, and dynamic loads typically show significant variations in practice. If the uncertainties in structural and control systems and the randomness of dynamic loads are not accounted for properly, the designed controlled systems might fail. To this end, a methodology for solving an Optimization Under Uncertainty (OUU) problem is developed in the present work that will rigorously account for various uncertainties and result in a cost-effective design of systems that satisfy user-prescribed reliability. The methodology is devised using two novel numerically effective schemes that are based on the Importance Sampling (IS) technique. The methodology requires only a single set of high resolution simulation results, which are reused throughout the optimization process. Numerical results indicate that, for a given sample budget, the proposed methodology is likely to ensure a feasible sub-optimal solution of an OUU problem. Using OUU problem formulations, risk-based methodologies for design of active and passive control systems are also developed in the present work. The OUU problem formulation for risk-based design of active control systems is based on the Quadratic Partial Eigenvalue Assignment (QPEA) technique, which is used here within a probabilistic framework for the first time. The methodology for risk-based design of passive control systems is first developed for generic passive dampers and then tailored for nonlinear viscous fluid dampers. Numerical illustrations using a few linear and/or nonlinear civil and aerospace structures, subjected to random dynamic loads, indicate that the control systems designed via the proposed methodologies are likely to ensure satisfactory performance of structural systems. Hence, the proposed risk-based design methodologies might be useful for practical design of various active and passive control systems.","**To request an accessible version of the file(s) associated with this item, contact library@buffalo.edu. Please include the item's persistent URL [http://hdl.handle.net/. . .] in your request.**"],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/10477/83856"],"dc:language":["eng"],"dc:publisher":["State University of New York at Buffalo"],"dc:rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"dc:subject":["mechanical engineering","civil engineering","statistics"],"dc:title":["A Numerically Effective Methodology for Risk-Based Design of Control Systems for Stochastic Structures"],"dc:type":["Text","Dissertation"]},"updated_at":"2026-07-27T19:05:28Z"}