Optimum Selection of Retrofit Measures for R/C Bridges Using Fragility Curves

Paraskevopoulos, Elias; Kappos, Andreas J.

doi:10.7712/120113.4565.c1489

Cited by 4 publications

(2 citation statements)

References 28 publications

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“…Two representative bridges of the most common categories in Greek motorways (#221-Polymylos-Leukopetra bridge and #232-Kalogirou bridge according to the classification scheme presented in §2) are studied. Another common category (overpass #121) has been studied and results can be found elsewhere [19], however they are briefly presented herein as well. Both case study bridges are part of the Egnatia Motorway.…”

Section: [(D Dsmentioning

confidence: 99%

Methodology for the Development of Structure Specific Fragility Curves for Bridges in a Roadway Network

Paraskevopoulos¹,

Kappos²

2015

Proceedings of the 5th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COM

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Section: [(D Dsmentioning

confidence: 99%

Methodology for the Development of Structure Specific Fragility Curves for Bridges in a Roadway Network

Paraskevopoulos¹,

Kappos²

2015

Proceedings of the 5th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COM

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“…Most of the methodologies available refer to highway bridges and are differentiated regarding the limit state definition, the critical components considered, the analysis methods and intensity measure used, the uncertainty treatment, etc. They are used to derive bridge fragility curves as a tool for risk assessment, retrofit optimization, and prioritization 30,31 . Even though many methodologies are available for the seismic fragility analysis of highway bridges, few of them are extended to railway bridges, considering proposed classification schemes, methods, and fragility models similar to highway bridges 32–34 .…”

Section: Introductionmentioning

confidence: 99%

Seismic fragility analysis of railway reinforced concrete bridges considering real‐time vehicle‐bridge interaction with the aid of co‐simulation techniques

Paraskevopoulos

2022

Earthq Engng Struct Dyn

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Based on past earthquake events, bridges are the most critical and most vulnerable component of road and rail transport systems, while bridge damage is related to substantial direct and indirect losses. For the case of railway bridges, the estimation of seismic fragility is a rather complex and computationally demanding procedure given the real-time interaction of the train movement and the bridge and the different failure modes of subsystems. Considering vehicle-bridge interaction (VBI) in the frame of railway bridge fragility analysis is rather challenging, requiring analysis of the bridge and the vehicle at every time step. Partitioning of the coupled VBI problem proposing a weak formulation scheme and a set of second-order ordinary differential equations (ODEs) is performed in a way that allows for independent subsystem (vehicle and bridge) analysis. Several methodologies are available in the literature to estimate the seismic fragility of train-bridge systems that ignore the nonlinear behavior of the bridge during earthquake loading, the step-by-step VBI, and the different failure modes of critical components. The scope of this research paper is to propose a real-time component-based methodology for estimating bridge fragility curves, considering all critical components and failure modes of subsystems. The two subsystems are incorporated in a uniform software platform using the co-simulation approach and a Gauss-Seidel communication pattern. The vehicle-rail system is solved using a C++ tailor-made code, including a mathematical formulation that is based on the description of the constrained problem with a set of pure ODEs, avoiding issues related to differential-algebraic equations, constraint violation, drifts, energy loss, stability, and convergence. The vehicle subsystem is solved using multibody dynamics (MBD), while the bridge subsystem is modeled and solved using OpenSees.py. An ad-hoc software for the implementation of the probabilistic framework and the derivation of fragility curves is developed in Python. A novel methodological procedure is proposed, dully tailored to the demanding estimation of fragility curves of the coupled vehicle-bridge problem.The step-by-step solution of subsystems is performed using the co-simulation technique. Real-time interaction is allowed, considering a rational transfer of

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Optimum selection of bridge pier retrofit measures considering performance, cost and sustainability criteria

Paraskevopoulos

2023

Structures

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Optimum Selection of Retrofit Measures for R/C Bridges Using Fragility Curves

Abstract: Abstract. The key objective of this paper is to present a methodology for the selection of the appropriate retrofit scheme for bridges, based on the performance of different components (piers, bearings, abutments)

Cited by 4 publications

References 28 publications

Methodology for the Development of Structure Specific Fragility Curves for Bridges in a Roadway Network

Methodology for the Development of Structure Specific Fragility Curves for Bridges in a Roadway Network

Seismic fragility analysis of railway reinforced concrete bridges considering real‐time vehicle‐bridge interaction with the aid of co‐simulation techniques

Optimum selection of bridge pier retrofit measures considering performance, cost and sustainability criteria

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