Stochastic life-cycle analysis: renewal-theory life-cycle analysis with state-dependent deterioration stochastic models. Issue 8 (3rd August 2019)
- Record Type:
- Journal Article
- Title:
- Stochastic life-cycle analysis: renewal-theory life-cycle analysis with state-dependent deterioration stochastic models. Issue 8 (3rd August 2019)
- Main Title:
- Stochastic life-cycle analysis: renewal-theory life-cycle analysis with state-dependent deterioration stochastic models
- Authors:
- Jia, Gaofeng
Gardoni, Paolo - Abstract:
- Abstract: For the life-cycle analysis (LCA) of deteriorating engineering systems, it is critical to model and incorporate the various deterioration processes and associated uncertainties. This paper proposes a renewal-theory life-cycle analysis (RTLCA) with state-dependent stochastic models (SDSMs) that describe the deterioration processes. The SDSMs capture the multiple deterioration processes and their interactions through modelling the changes in the system state variables due to different deterioration processes. Then proper capacity and demand models that take the time-variant state variables as input are adopted to fully capture the impact of deterioration processes on the capacity, demand, and other time-variant performance indicators of the engineering system. The SDSMs are then integrated into RTLCA to efficiently evaluate various life-cycle performance quantities such as availability, operation cost and benefits of the engineering system. To implement the proposed formulation, a sampling-based approach is adopted to simulate samples from the relevant probability density functions (PDFs) to estimate the life-cycle performance quantities, while stochastic simulation-based approach is adopted to estimate the time-variant performance indicators needed to inform intervention activities. As an illustration, the proposed formulation is used to analyse the life-cycle performances of an example reinforced concrete bridge subject to deterioration due to corrosion and seismicAbstract: For the life-cycle analysis (LCA) of deteriorating engineering systems, it is critical to model and incorporate the various deterioration processes and associated uncertainties. This paper proposes a renewal-theory life-cycle analysis (RTLCA) with state-dependent stochastic models (SDSMs) that describe the deterioration processes. The SDSMs capture the multiple deterioration processes and their interactions through modelling the changes in the system state variables due to different deterioration processes. Then proper capacity and demand models that take the time-variant state variables as input are adopted to fully capture the impact of deterioration processes on the capacity, demand, and other time-variant performance indicators of the engineering system. The SDSMs are then integrated into RTLCA to efficiently evaluate various life-cycle performance quantities such as availability, operation cost and benefits of the engineering system. To implement the proposed formulation, a sampling-based approach is adopted to simulate samples from the relevant probability density functions (PDFs) to estimate the life-cycle performance quantities, while stochastic simulation-based approach is adopted to estimate the time-variant performance indicators needed to inform intervention activities. As an illustration, the proposed formulation is used to analyse the life-cycle performances of an example reinforced concrete bridge subject to deterioration due to corrosion and seismic loading. … (more)
- Is Part Of:
- Structure and infrastructure engineering. Volume 15:Issue 8(2019)
- Journal:
- Structure and infrastructure engineering
- Issue:
- Volume 15:Issue 8(2019)
- Issue Display:
- Volume 15, Issue 8 (2019)
- Year:
- 2019
- Volume:
- 15
- Issue:
- 8
- Issue Sort Value:
- 2019-0015-0008-0000
- Page Start:
- 1001
- Page End:
- 1014
- Publication Date:
- 2019-08-03
- Subjects:
- Stochastic models -- life cycle costs -- deterioration -- corrosion -- seismic effects -- structural reliability -- reinforced concrete bridges
Structural analysis (Engineering) -- Periodicals
Structural engineering -- Periodicals
Buildings -- Performance -- Periodicals
620.005 - Journal URLs:
- http://www.tandfonline.com/toc/nsie20/current ↗
http://www.tandfonline.com/ ↗
http://journalsonline.tandf.co.uk/app/home/journal.asp?wasp=efd3fd8f25b146fd904d3f0781f2efe7&referrer=parent&backto=searchpublicationsresults, 1, 1;homemain, 1, 1; ↗ - DOI:
- 10.1080/15732479.2019.1590424 ↗
- Languages:
- English
- ISSNs:
- 1573-2479
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8476.030000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 10473.xml