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Gardoni, Paolo Sharma, Neetesh 2016-07-07T21:18:05Z 2016-07-07T21:18:05Z 2018-07-08T09:15:36Z 2016-04-26 2016-05 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. application/pdf http://hdl.handle.net/2142/90960 en Copyright 2016 Neetesh Sharma Resilience quantification recovery process Resilience analysis: a mathematical formulation to model resilience of engineering systems text text Civil & Environmental Eng Civil Engineering University of Illinois at Urbana-Champaign Thesis M.S.