Comparative seismic loss analysis of an existing non-ductile RC building based on element fragility functions proposals

Romano, Fabio; Faggella, Marco; Gigliotti, Rosario; Zucconi, Maria; Ferracuti, Barbara

doi:10.1016/j.engstruct.2018.08.005

Cited by 44 publications

(20 citation statements)

References 51 publications

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“…Only taking into account the degradation of the mechanical properties of reinforcements, the sectional capacity of any RC element appears significantly reduced in the time [40][41][42][43][44][45][46][47][48]. This aspect may significantly affect the seismic behavior of corroded structures [49][50][51][52][53][54]. Obviously, the decay may become more significant if the bond and cracking are also considered.…”

Section: Introductionmentioning

confidence: 99%

Ultimate Flexural Capacity of Reinforced Concrete Elements Damaged by Corrosion

2019

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Worldwide, steel corrosion is one of the greatest deterioration problems for reinforced concrete structures. Comparing some experimental results from literature with a complex FEM model, the present paper points out the principal aspects that characterize the static behavior of reinforced concrete (RC) elements damaged by corrosion. Moreover, the nondimensional abaci defined for some specific case studies finalized to the evaluation of the residual flexural strength of corroded elements highlight the dangerousness of the corrosion degradation if the failure of the element is governed by the steel.

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Section: Introductionmentioning

confidence: 99%

Ultimate Flexural Capacity of Reinforced Concrete Elements Damaged by Corrosion

2019

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“…The work can be extended to assess the potential impact of structural model class uncertainty on loss assessment, which was not performed here, since it was outside the scope of the present work. Moreover, additional uncertainty in PSDA results that may arise due to the choice of different number of GM samples as opposed to the fixed number of GMs (30 GMs per intensity level) used in this study could be explored in future.…”

Section: Resultsmentioning

confidence: 99%

Probabilistic seismic demand assessment accounting for finite element model class uncertainty: Application to a code‐designed URM infilled reinforced concrete frame building

Alam

Barbosa

2018

Earthq Engng Struct Dyn

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Summary Reliable and robust probabilistic assessment of structures requires explicit consideration of all relevant sources of uncertainty, both aleatory and epistemic. This paper proposes a formulation to incorporate model class uncertainty in probabilistic seismic demand assessment (PSDA) of structures, where model class uncertainty relates to the use of different structural analysis models used to predict the physical response of structural systems. The application of the proposed formulation is illustrated through the assessment of a recent code‐designed reinforced concrete (RC) frame building with unreinforced masonry (URM) infills, which is a prevalent form of construction worldwide. The model class uncertainty analyzed in this paper is related to the potential selection of one of three state‐of‐the‐art masonry infill strut models. In the application example, nonlinear static pushover (NSP) analyses and tornado sensitivity analyses are performed to identify the important parameters of infill strut models affecting the seismic response of the infilled RC frame. A hybrid stripe analysis (HSA) approach is adopted to perform nonlinear response history analyses (NRHAs) of the example RC frame. To account for relevant sources of uncertainty, latin hypercube sampling (LHS) is used to quantify the minimum number of realizations of model parameters necessary to achieve convergence of the coefficient of variation (COV) of the engineering response parameters assessed. Results of the NRHAs indicate that incorporating model class uncertainty significantly affects the estimation of uncertainties of the drift hazard demand.

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“…Noncollapse related non-convergence issues during the seismic response analysis need to be resolved using, for example, adaptive switching between nonlinear solution algorithms, integration methods, convergence criteria, etc., or explicit integration. If a physical collapse related convergence issue occurs, the collapse probability needs to be considered in the overall methodology [Zhang (2006); Romano, Faggella, Gigliotti et al (2018)]. However, distinguishing between lack of convergence due to numerical issues or due to imminent physical failure (collapse) of the structure being analyzed is challenging and can possibly be addressed by artificial intelligence.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

Probabilistic Performance-Based Optimum Seismic Design Framework: Illustration and Validation

Li¹,

Conte²,

Gill³

2019

Computer Modeling in Engineering &Amp; Sciences

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In the field of earthquake engineering, the advent of the performance-based design philosophy, together with the highly uncertain nature of earthquake ground excitations to structures, has brought probabilistic performance-based design to the forefront of seismic design. In order to design structures that explicitly satisfy probabilistic performance criteria, a probabilistic performance-based optimum seismic design (PPBOSD) framework is proposed in this paper by extending the state-of-the-art performance-based earthquake engineering (PBEE) methodology. PBEE is traditionally used for risk evaluation of existing or newly designed structural systems, thus referred to herein as forward PBEE analysis. In contrast, its use for design purposes is limited because design is essentially a more challenging inverse problem. To address this challenge, a decision-making layer is wrapped around the forward PBEE analysis procedure for computer-aided optimum structural design/retrofit accounting for various sources of uncertainty. In this paper, the framework is illustrated and validated using a proof-of-concept problem, namely tuning a simplified nonlinear inelastic single-degreeof-freedom (SDOF) model of a bridge to achieve a target probabilistic loss hazard curve. For this purpose, first the forward PBEE analysis is presented in conjunction with the multilayer Monte Carlo simulation method to estimate the total loss hazard curve efficiently, followed by a sensitivity study to investigate the effects of system (design) parameters on the probabilistic seismic performance of the bridge. The proposed PPBOSD framework is validated by successfully tuning the system parameters of the structure rated for a target probabilistic seismic loss hazard curve. The PPBOSD framework provides a tool that is essential to develop, calibrate and validate simplified probabilistic performance-based design procedures.

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Comparative seismic loss analysis of an existing non-ductile RC building based on element fragility functions proposals

Cited by 44 publications

References 51 publications

Ultimate Flexural Capacity of Reinforced Concrete Elements Damaged by Corrosion

Ultimate Flexural Capacity of Reinforced Concrete Elements Damaged by Corrosion

Probabilistic seismic demand assessment accounting for finite element model class uncertainty: Application to a code‐designed URM infilled reinforced concrete frame building

Probabilistic Performance-Based Optimum Seismic Design Framework: Illustration and Validation

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