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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Main Authors: Fabrizio Scozzese, Lucia Minnucci
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Applied Sciences
Subjects:
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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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