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oai:www.ideals.illinois.edu:2142/102965 2023-07-11 col_2142_14770 col_2142_5131 com_2142_3518 com_2142_234 com_2142_5130

Gardoni, Paolo Gharzouzi, Paul 2019-02-08T18:44:46Z 2019-02-08T18:44:46Z 2021-02-09T10:15:45Z 2018-12-14 2018-12 During their life-cycle, engineering systems typically suffer from deterioration due to regular operation and exposure to extreme events and harsh environmental conditions. As a result, regular recovery strategies are often required to restore the system to a target safety and functionality level. There is a need to evaluate the associated impact of such strategies on the life-cycle sustainability of engineering systems. This work proposes a novel stochastic formulation, named Stochastic Life-cycle Sustainability Analysis (SLCSA), for evaluating the sustainability of engineering systems throughout their service lives. In the SLCSA, the sustainability of the system is evaluated for a fixed time horizon in terms of its environmental impact, which includes the impact of the construction, operation processes and recovery strategies that are associated with the various structural and mechanical components of the system. The formulation proposes state-dependent stochastic models that capture the effects of gradual and shock deteriorations in the evaluation of the environmental impact of the system. Moreover, the formulation accounts for the relevant uncertainties, such as those in the external conditions (e.g., environmental exposure and potential hazards), and those in the environmental emissions, associated with the materials and energy used throughout the system life-cycle. As an illustration, the proposed analysis is used to evaluate the life-cycle sustainability of a typical reinforced concrete (RC) bridge. Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2020-12-01 The student, Paul Gharzouzi, accepted the attached license on 2018-12-13 at 16:45. The student, Paul Gharzouzi, submitted this Thesis for approval on 2018-12-13 at 17:06. This Thesis was approved for publication on 2018-12-14 at 09:33. DSpace SAF Submission Ingestion Package generated from Vireo submission #13323 on 2019-02-08 at 11:42:23 Made available in DSpace on 2019-02-08T18:44:46Z (GMT). No. of bitstreams: 2 GHARZOUZI-THESIS-2018.pdf: 579714 bytes, checksum: 8fac57b68f9ae7e602f2ffe32faf2dbd (MD5) LICENSE.txt: 4211 bytes, checksum: 0ad8e6f018abbe3260d5847c6ed8ba2d (MD5) Previous issue date: 2018-12-14 Embargo set by: Seth Robbins for item 109993 Lift date: 2021-02-08T18:44:50Z Reason: Author requested closed access (OA after 2yrs) in Vireo ETD system Limited Restriction Lifted for Item 109993 on 2021-02-09T10:15:45Z. application/pdf http://hdl.handle.net/2142/102965 en Copyright 2018 Paul Gharzouzi Sustainability state-dependent stochastic models life-cycle analysis Sustainability analysis: A stochastic formulation for evaluating the sustainability of engineering systems text text Civil & Environmental Eng Civil Engineering University of Illinois at Urbana-Champaign Thesis M.S.