Innovative Fragility-Based Method for Failure Mechanisms and Damage Extension Analysis of Bridges
The seismic assessment of existing bridges is of the utmost importance to characterise the main structural deficiencies, estimate the risk, prioritise retrofit interventions, or estimate losses and repair costs in case of earthquakes. The above tasks require information on the damage mechanisms like...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-09-01
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| Series: | Infrastructures |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2412-3811/7/9/122 |
| _version_ | 1797486893878738944 |
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| author | Lucia Minnucci Fabrizio Scozzese Sandro Carbonari Fabrizio Gara Andrea Dall’Asta |
| author_facet | Lucia Minnucci Fabrizio Scozzese Sandro Carbonari Fabrizio Gara Andrea Dall’Asta |
| author_sort | Lucia Minnucci |
| collection | DOAJ |
| description | The seismic assessment of existing bridges is of the utmost importance to characterise the main structural deficiencies, estimate the risk, prioritise retrofit interventions, or estimate losses and repair costs in case of earthquakes. The above tasks require information on the damage mechanisms likely to occur as well as on the damage extent over the structure. Such types of information are generally not provided by classical fragility analysis, which is mainly focused on the evaluation of the global performance of the bridge. In this paper, a systematic probabilistic methodology for the evaluation of bridge fragility is proposed. The methodology aims at offering insight into the failure mechanisms most likely to occur and the evolution and extent of damage within the bridge structure. First, a mathematical description of the proposed analysis methods is given, then an application to a realistic case study—a reinforced concrete multi-span simply supported deck link-slab bridge—is provided to illustrate the applicability of the tool. A nonlinear 3D finite element model is developed, and a multiple-stripe (nonlinear dynamic) analysis is performed by using a stochastic bidirectional seismic input. The results highlight the suitability of the proposed methodology to reveal the main structural deficiencies, the relations among different failure mechanisms (involving piers, bearings, abutments, etc.), and the expected damage extent. |
| first_indexed | 2024-03-09T23:39:51Z |
| format | Article |
| id | doaj.art-53dd69a4be414db1b65431f18fb698c7 |
| institution | Directory Open Access Journal |
| issn | 2412-3811 |
| language | English |
| last_indexed | 2024-03-09T23:39:51Z |
| publishDate | 2022-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Infrastructures |
| spelling | doaj.art-53dd69a4be414db1b65431f18fb698c72023-11-23T16:53:50ZengMDPI AGInfrastructures2412-38112022-09-017912210.3390/infrastructures7090122Innovative Fragility-Based Method for Failure Mechanisms and Damage Extension Analysis of BridgesLucia Minnucci0Fabrizio Scozzese1Sandro Carbonari2Fabrizio Gara3Andrea Dall’Asta4Consorzio Interuniversitario FABRE, 63032 Camerino, ItalySchool of Architecture and Design (SAAD), University of Camerino, 63100 Ascoli Piceno, ItalyDepartment of Construction, Civil Engineering and Architecture, Polytechnic University of Marche, 60131 Ancona, ItalyDepartment of Construction, Civil Engineering and Architecture, Polytechnic University of Marche, 60131 Ancona, ItalySchool of Architecture and Design (SAAD), University of Camerino, 63100 Ascoli Piceno, ItalyThe seismic assessment of existing bridges is of the utmost importance to characterise the main structural deficiencies, estimate the risk, prioritise retrofit interventions, or estimate losses and repair costs in case of earthquakes. The above tasks require information on the damage mechanisms likely to occur as well as on the damage extent over the structure. Such types of information are generally not provided by classical fragility analysis, which is mainly focused on the evaluation of the global performance of the bridge. In this paper, a systematic probabilistic methodology for the evaluation of bridge fragility is proposed. The methodology aims at offering insight into the failure mechanisms most likely to occur and the evolution and extent of damage within the bridge structure. First, a mathematical description of the proposed analysis methods is given, then an application to a realistic case study—a reinforced concrete multi-span simply supported deck link-slab bridge—is provided to illustrate the applicability of the tool. A nonlinear 3D finite element model is developed, and a multiple-stripe (nonlinear dynamic) analysis is performed by using a stochastic bidirectional seismic input. The results highlight the suitability of the proposed methodology to reveal the main structural deficiencies, the relations among different failure mechanisms (involving piers, bearings, abutments, etc.), and the expected damage extent.https://www.mdpi.com/2412-3811/7/9/122earthquakesfragility curvesbridgesdamage mechanismsfailurestochastic model |
| spellingShingle | Lucia Minnucci Fabrizio Scozzese Sandro Carbonari Fabrizio Gara Andrea Dall’Asta Innovative Fragility-Based Method for Failure Mechanisms and Damage Extension Analysis of Bridges Infrastructures earthquakes fragility curves bridges damage mechanisms failure stochastic model |
| title | Innovative Fragility-Based Method for Failure Mechanisms and Damage Extension Analysis of Bridges |
| title_full | Innovative Fragility-Based Method for Failure Mechanisms and Damage Extension Analysis of Bridges |
| title_fullStr | Innovative Fragility-Based Method for Failure Mechanisms and Damage Extension Analysis of Bridges |
| title_full_unstemmed | Innovative Fragility-Based Method for Failure Mechanisms and Damage Extension Analysis of Bridges |
| title_short | Innovative Fragility-Based Method for Failure Mechanisms and Damage Extension Analysis of Bridges |
| title_sort | innovative fragility based method for failure mechanisms and damage extension analysis of bridges |
| topic | earthquakes fragility curves bridges damage mechanisms failure stochastic model |
| url | https://www.mdpi.com/2412-3811/7/9/122 |
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