{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/90960"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/90960","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Resilience analysis: a mathematical formulation to model resilience of engineering systems","abstract":"Resilience of engineering systems is related to their ability of absorbing both gradual and abrupt changes under exposure conditions and rapidly recover from disruptions. In this thesis, we develop a general stochastic formulation to model the recovery process and quantify system's resilience. In particular, we develop models for time-dependent capacity of a system and the imposed demand, under joint effects of recovery and shock deterioration processes. Using the developed models, a recovery curve is formulated in terms of system's reliability, functionality and work progress. Furthermore, we propose a novel approach for resilience analysis by defining measures to capture characteristics of recovery curves. The proposed approach makes a distinction in resilience of systems with different recovery patterns. A numerical example is provided to illustrate the application of the model.","abstract_html":"Resilience of engineering systems is related to their ability of absorbing both gradual and abrupt changes under exposure conditions and rapidly recover from disruptions. In this thesis, we develop a general stochastic formulation to model the recovery process and quantify system's resilience. In particular, we develop models for time-dependent capacity of a system and the imposed demand, under joint effects of recovery and shock deterioration processes. Using the developed models, a recovery curve is formulated in terms of system's reliability, functionality and work progress. Furthermore, we propose a novel approach for resilience analysis by defining measures to capture characteristics of recovery curves. The proposed approach makes a distinction in resilience of systems with different recovery patterns. A numerical example is provided to illustrate the application of the model.","abstract_has_math":false,"creators":["Sharma, Neetesh"],"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":2016,"date_issued":"2016-07-07T21:18:05Z","date_published":"2016-07-07T21:18:05Z","updated_at":"2026-07-22T22:26:34Z","subjects":["Resilience quantification","recovery process"],"languages":["en"],"rights":["Copyright 2016 Neetesh Sharma"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/90960","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":["Sharma, Neetesh"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2016-07-07T21:18:05Z","2018-07-08T09:15:36Z","2016-04-26","2016-05"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"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":["Resilience quantification","recovery process"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2016 Neetesh Sharma"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/90960"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Resilience of engineering systems is related to their ability of absorbing both gradual and abrupt changes under exposure conditions and rapidly recover from disruptions. In this thesis, we develop a general stochastic formulation to model the recovery process and quantify system's resilience. In particular, we develop models for time-dependent capacity of a system and the imposed demand, under joint effects of recovery and shock deterioration processes. Using the developed models, a recovery curve is formulated in terms of system's reliability, functionality and work progress. Furthermore, we propose a novel approach for resilience analysis by defining measures to capture characteristics of recovery curves. The proposed approach makes a distinction in resilience of systems with different recovery patterns. A numerical example is provided to illustrate the application of the model.","Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2018-05-01","The student, Neetesh Sharma, accepted the attached license on 2016-04-26 at 10:51.","The student, Neetesh Sharma, submitted this Thesis for approval on 2016-04-26 at 10:56.","This Thesis was approved for publication on 2016-04-26 at 12:38.","DSpace SAF Submission Ingestion Package generated from Vireo submission #9502 on 2016-07-07 at 14:18:01","Made available in DSpace on 2016-07-07T21:18:05Z (GMT). No. of bitstreams: 2 SHARMA-THESIS-2016.pdf: 907958 bytes, checksum: 2ce825da3012a6907547bc0ba7a4c71c (MD5) LICENSE.txt: 4211 bytes, checksum: da9509151d04ab69152b43b257a62b5c (MD5) Previous issue date: 2016-04-26","Embargo set by: Seth Robbins for item 93315 Lift date: 2018-07-07T21:18:16Z Reason: Author requested closed access (OA after 2yrs) in Vireo ETD system","Limited Restriction Lifted for Item 93315 on 2018-07-08T09:15:36Z."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Resilience analysis: a mathematical formulation to model resilience of engineering systems"]}]}],"canonical_facts":{"dc:contributor":["Gardoni, Paolo"],"dc:creator":["Sharma, Neetesh"],"dc:date":["2016-07-07T21:18:05Z","2018-07-08T09:15:36Z","2016-04-26","2016-05"],"dc:description":["Resilience of engineering systems is related to their ability of absorbing both gradual and abrupt changes under exposure conditions and rapidly recover from disruptions. In this thesis, we develop a general stochastic formulation to model the recovery process and quantify system's resilience. In particular, we develop models for time-dependent capacity of a system and the imposed demand, under joint effects of recovery and shock deterioration processes. Using the developed models, a recovery curve is formulated in terms of system's reliability, functionality and work progress. Furthermore, we propose a novel approach for resilience analysis by defining measures to capture characteristics of recovery curves. The proposed approach makes a distinction in resilience of systems with different recovery patterns. A numerical example is provided to illustrate the application of the model.","Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2018-05-01","The student, Neetesh Sharma, accepted the attached license on 2016-04-26 at 10:51.","The student, Neetesh Sharma, submitted this Thesis for approval on 2016-04-26 at 10:56.","This Thesis was approved for publication on 2016-04-26 at 12:38.","DSpace SAF Submission Ingestion Package generated from Vireo submission #9502 on 2016-07-07 at 14:18:01","Made available in DSpace on 2016-07-07T21:18:05Z (GMT). No. of bitstreams: 2 SHARMA-THESIS-2016.pdf: 907958 bytes, checksum: 2ce825da3012a6907547bc0ba7a4c71c (MD5) LICENSE.txt: 4211 bytes, checksum: da9509151d04ab69152b43b257a62b5c (MD5) Previous issue date: 2016-04-26","Embargo set by: Seth Robbins for item 93315 Lift date: 2018-07-07T21:18:16Z Reason: Author requested closed access (OA after 2yrs) in Vireo ETD system","Limited Restriction Lifted for Item 93315 on 2018-07-08T09:15:36Z."],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/2142/90960"],"dc:language":["en"],"dc:rights":["Copyright 2016 Neetesh Sharma"],"dc:subject":["Resilience quantification","recovery process"],"dc:title":["Resilience analysis: a mathematical formulation to model resilience of engineering systems"],"dc:type":["text"],"thesis:degree_discipline":["Civil Engineering"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:26:34Z"}