Seismic Risk Analysis of Existing Link Slab Bridges Using Novel Fragility Functions
In this paper, a comprehensive probabilistic framework is proposed and adopted to perform seismic reliability and risk analysis of existing link slab (LS) bridges, representing a widely diffused structural typology within the infrastructural networks of many countries worldwide. Unlike classic risk...
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MDPI AG
2023-12-01
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Online Access: | https://www.mdpi.com/2076-3417/14/1/112 |
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author | Fabrizio Scozzese Lucia Minnucci |
author_facet | Fabrizio Scozzese Lucia Minnucci |
author_sort | Fabrizio Scozzese |
collection | DOAJ |
description | In this paper, a comprehensive probabilistic framework is proposed and adopted to perform seismic reliability and risk analysis of existing link slab (LS) bridges, representing a widely diffused structural typology within the infrastructural networks of many countries worldwide. Unlike classic risk analysis methods, innovative fragility functions are used in this work to retrieve more specific and detailed information on the possible failure modes, without limiting the analysis to the global failure conditions but also considering several intermediate damage scenarios (including one or more damage mechanisms), and providing insights on the numerosity of elements involved within a given damage scenario. Reliability analyses are performed on a set of LS bridges with different geometries (total lengths and pier heights) designed according to the Italian codes enforced in the 1970s. Accurate numerical models are developed in OpenSees and Multiple-Stripe nonlinear time–history analyses are carried out to build proper demand models, from which fragility functions are determined according to two limit states: damage onset and near-collapse. Mean annual rates of exceeding are thus estimated through the convolution between the hazard and the fragility. The results shed light on the main failure mechanisms characterizing this bridge typology, highlighting how different levels of risk (hence safety margins) can be associated with failure scenarios that differ in terms of elements/mechanisms involved and damage extension. Such a higher level of detail in the risk analysis may be useful to better quantify post-earthquake consequences (e.g., costs and losses) and define more tailored retrofit interventions. A comparison of the reliability levels associated with bridges of the same class with different geometries is finally presented. |
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issn | 2076-3417 |
language | English |
last_indexed | 2024-03-08T15:12:03Z |
publishDate | 2023-12-01 |
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spelling | doaj.art-15052af26404483ea89c3262250ccd2d2024-01-10T14:50:57ZengMDPI AGApplied Sciences2076-34172023-12-0114111210.3390/app14010112Seismic Risk Analysis of Existing Link Slab Bridges Using Novel Fragility FunctionsFabrizio Scozzese0Lucia Minnucci1School of Architecture and Design, University of Camerino, Viale della Rimembranza 3, 62032 Camerino, ItalyFABRE Research Consortium, Via Le Mosse 19, 62032 Camerino, ItalyIn this paper, a comprehensive probabilistic framework is proposed and adopted to perform seismic reliability and risk analysis of existing link slab (LS) bridges, representing a widely diffused structural typology within the infrastructural networks of many countries worldwide. Unlike classic risk analysis methods, innovative fragility functions are used in this work to retrieve more specific and detailed information on the possible failure modes, without limiting the analysis to the global failure conditions but also considering several intermediate damage scenarios (including one or more damage mechanisms), and providing insights on the numerosity of elements involved within a given damage scenario. Reliability analyses are performed on a set of LS bridges with different geometries (total lengths and pier heights) designed according to the Italian codes enforced in the 1970s. Accurate numerical models are developed in OpenSees and Multiple-Stripe nonlinear time–history analyses are carried out to build proper demand models, from which fragility functions are determined according to two limit states: damage onset and near-collapse. Mean annual rates of exceeding are thus estimated through the convolution between the hazard and the fragility. The results shed light on the main failure mechanisms characterizing this bridge typology, highlighting how different levels of risk (hence safety margins) can be associated with failure scenarios that differ in terms of elements/mechanisms involved and damage extension. Such a higher level of detail in the risk analysis may be useful to better quantify post-earthquake consequences (e.g., costs and losses) and define more tailored retrofit interventions. A comparison of the reliability levels associated with bridges of the same class with different geometries is finally presented.https://www.mdpi.com/2076-3417/14/1/112seismic riskbridgeslink slabexpansion jointsseismic vulnerabilityOpenSees |
spellingShingle | Fabrizio Scozzese Lucia Minnucci Seismic Risk Analysis of Existing Link Slab Bridges Using Novel Fragility Functions Applied Sciences seismic risk bridges link slab expansion joints seismic vulnerability OpenSees |
title | Seismic Risk Analysis of Existing Link Slab Bridges Using Novel Fragility Functions |
title_full | Seismic Risk Analysis of Existing Link Slab Bridges Using Novel Fragility Functions |
title_fullStr | Seismic Risk Analysis of Existing Link Slab Bridges Using Novel Fragility Functions |
title_full_unstemmed | Seismic Risk Analysis of Existing Link Slab Bridges Using Novel Fragility Functions |
title_short | Seismic Risk Analysis of Existing Link Slab Bridges Using Novel Fragility Functions |
title_sort | seismic risk analysis of existing link slab bridges using novel fragility functions |
topic | seismic risk bridges link slab expansion joints seismic vulnerability OpenSees |
url | https://www.mdpi.com/2076-3417/14/1/112 |
work_keys_str_mv | AT fabrizioscozzese seismicriskanalysisofexistinglinkslabbridgesusingnovelfragilityfunctions AT luciaminnucci seismicriskanalysisofexistinglinkslabbridgesusingnovelfragilityfunctions |