Probabilistic Seismic Assessment of RC Bridges: Part I — Uncertainty Models

Monteiro, Ricardo; Delgado, Raimundo; Pinho, Rui

doi:10.1016/j.istruc.2015.08.002

Cited by 31 publications

(13 citation statements)

References 32 publications

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“…Such fragility functions can be determined using deterministic or, more commonly, probabilistic approaches [11]. A number of past studies have addressed the seismic assessment of individual bridge structures through nonlinear static or dynamic analysis [5,14,19,20,28]. However, such research was built upon the knowledge and the applications initially developed for building structures [10,21,27] and it resulted in the proposal of fragility curves for individual structures [7,8,16,24].…”

Section: Introductionmentioning

confidence: 99%

Parametric Characterization of RC Bridges for Seismic Assessment Purposes

2016

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Section: Introductionmentioning

confidence: 99%

Parametric Characterization of RC Bridges for Seismic Assessment Purposes

2016

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“…Recently, considerable attempts have been made to verify the applicability of different NSPs for design and assessment of bridge structures in transversal direction (Aydınoglu, 2004;Isakovic & Fischinger, 2006;Isakovic, Pompeyo, Lazaro, & Fischinger, 2008;Kappos, Saidi, Aydınoglu, & Isakovic, 2012;Monteiro, 2011;Paraskeva, Kappos, & Sextos, 2006;Pinho, Monteiro, Casarotti, & Delgado, 2009;Shakeria, Tarbalib, & Mohebbia, 2013). In general, these studies verify the acceptable performance of the various NSPs for the case of regular and short bridges.…”

Section: Introductionmentioning

confidence: 87%

Seismic performance of irregular bridges – comparison of different nonlinear static procedures

Kohrangi

Bento

Lopes

2014

Structure and Infrastructure Engineering

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The adequate seismic performance of transportation infrastructures is important for the functioning of the economy and society. This paper focuses on the seismic assessment and analysis of one of the most important components of these infrastructures, the bridges. In this field, nonlinear static procedures (NSPs) have gained significant attention, resulting in different proposals to improve the accuracy of the procedures while keeping their simplicity. The main goal of this study is focused on the evaluation of the applicability of NSPs for irregular reinforced concrete viaducts. A comparative approach is pursued by resorting to (1) the analyses of the performance of three well-known NSPs (N2 method, modal pushover analysis and adaptive capacity spectrum method) and (2) the extension of the scope of previous studies in this field to a more recent method, the extended N2. As such, a set of bridges with different levels of irregularity, configurations and lengths is investigated. The accuracy of different NSPs is evaluated by comparing the results of NSPs with the ones obtained by means of nonlinear dynamic analyses. The comparison of results confirms the acceptable performance of the multi-modal NSPs and highlights the effectiveness of extended N2 method with respect to its simplicity.

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“…The modal combination of the n 'th mode for relative displacement is obtained according to Equation (14) whilst the maximum relative displacement of the j 'th pier with respect to the (j-1) 'th pier, or the j 'th deck node with respect to (j-1) 'th deck node is given by Equation (15).…”

Section: Relative-displacement Based Approachmentioning

confidence: 99%

“…It goes from conventional to adaptive -the former is currently more implemented in commercial software whereas adaptive pushover algorithms are still not common in widely used structural analysis software, which renders them less attractive to practitioners [12]. Correspondingly, the NSPs that incorporate higher mode effects provide a response that is more accurate, especially in structures where higher mode contributions are expected to be important [13][14][15]. Single mode based NSPs on the other hand typically present shortcomings for structures where higher mode effects are important, but they do tend to provide acceptable or good estimates for regular structures and may represent a good compromise for large scale assessment studies [16][17].…”

Section: Introductionmentioning

confidence: 99%