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

Alam, Md. Shabbir; Barbosa, André R.

doi:10.1002/eqe.3113

Cited by 15 publications

(15 citation statements)

References 67 publications

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“…The nonlinear static analyses provided results with rather limited variations between the different software in terms of stiffness, base shear and displacement capacity of the pushover curves. Comparison of the results of the five software programs also provided interesting outcomes regarding the impact of the model uncertainties (e.g., Alam and Barbosa 2018;De Falco et al 2017).…”

Section: Discussionmentioning

confidence: 99%

On the reliability of the equivalent frame models: the case study of the permanently monitored Pizzoli’s town hall

Abbati

Morandi

Cattari

et al. 2021

Bull Earthquake Eng

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This paper presents the comparison of the results of modal and nonlinear analyses carried out on a 2-story masonry building with rigid diaphragms, inspired by the Pizzoli’s town hall (AQ, Italy). The case study is one of the Benchmark Structures (labeled BS6) in the “URM nonlinear modelling–Benchmark project” funded by the Italian Department of Civil Protection (DPC) within the framework of the ReLUIS projects. The building has been instrumented since 2009 with a permanent monitoring system by the Osservatorio Sismico delle Strutture (OSS) of the DPC and was hit by the 2016/2017 Central Italy earthquake sequence. In the research first phase, modal and nonlinear static analyses were carried out in a blind prediction, without any preliminary calibration of the models, but referring only to commonly made assumptions on materials and modelling. Five computer programs based on the Equivalent Frame Model (EFM) approach were used. Four different structural configurations were considered: with weak spandrels (A), with tie rods coupled to spandrels (B), with RC ring beams coupled to spandrels (C) and with “shear type” idealization (D). In the research second phase, two of the developed EFMs were calibrated in the elastic range using the results of available Ambient Vibration Tests (AVTs). The models were then validated in the nonlinear range by simulating the dynamic response of the structure recorded during the mainshocks of the 2016/2017 Central Italy earthquake. Recorded and numerical results were compared at both the global and local scale.

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Section: Discussionmentioning

confidence: 99%

On the reliability of the equivalent frame models: the case study of the permanently monitored Pizzoli’s town hall

Abbati

Morandi

Cattari

et al. 2021

Bull Earthquake Eng

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“…Beam-column joints are modeled using partially rigid-end offsets. The possible column shear failure due to infill-frame interaction is modeled through a zero-length nonlinear shear spring, which is an adapted version of the spring in [14] per [6], located at both ends of columns. Following the approach in Sattar and Liel [15], URM infill walls are modeled with equivalent diagonal single struts, concentric in the beam-column joint nodes, as presented in Figure 2(a).…”

Section: Infilled Rc Frame Modeling and Uncertaintiesmentioning

confidence: 99%

“…Together with modeling parameter uncertainty, record-to-record variability is taken into account using 30 natural ground motion (GM) records for eight hazard levels (HLs) from 50% in 50 years to 1% in 200 years. A hybrid stripe analysis (HSA; [6] approach is adopted to perform NRHAs. Further details on the infilled RC building modeling and GM selection are reported in Alam and Barbosa [6].…”

Section: Infilled Rc Frame Modeling and Uncertaintiesmentioning

confidence: 99%

“…A hybrid stripe analysis (HSA; [6] approach is adopted to perform NRHAs. Further details on the infilled RC building modeling and GM selection are reported in Alam and Barbosa [6]. Table 1 Parameters of lognormal random variables: mean value, , and coefficient of variation, COV.…”

Section: Infilled Rc Frame Modeling and Uncertaintiesmentioning

confidence: 99%

“…The effects of record-to-record variability and modeling uncertainties on the seismic response of structures have been extensively studied in the literature [3][4][5]. Recently, Alam and Barbosa [6] proposed a probabilistic formulation to incorporate model class uncertainties in probabilistic seismic demand assessment (PSDA) and used several infill-strut model classes for the probabilistic assessment of drift hazard demand for an unreinforced masonry (URM) infilled reinforced concrete (RC) frame buildings. Seismic performance of this building typology is highly uncertain due to uncertainties in infill properties as well as the complex interaction of infills with surrounding frame, which contribute to increased lateral strength and initial stiffness of infilled frames [7,8].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Seismic Loss Analysis of a Modern Rc Building Accounting for Uncertainty of Infill Strut Modeling Parameters

Romano¹,

Alam²,

Faggella³

et al. 2019

Proceedings of the 7th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COM

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Probabilistic seismic risk analysis is affected by several sources of uncertainty. Investigating the influence of uncertainties on loss analysis results is important to understand their impact on computed risk. Even though the topic has been the focus of many previous studies, however, only a few studies focused on the effects of modeling uncertainty of often-neglected non-structural elements, such as masonry infill walls in reinforced concrete (RC) moment frame buildings. This paper explores the effect of uncertainty related to modeling parameters of masonry infill walls on the seismic loss estimates for a modern code designed infilled RC frame building. The unreinforced masonry (URM) infill walls are modeled using equivalent strut models and probability density functions (PDFs) are assigned to selected infill strut parameters, based on existing literature on analytical and experimental studies. Using a latin hypercube sampling (LHS) method to sample the PDFs, a set of two-dimensional models are generated and are subjected to nonlinear response history analyses (NRHAs) at increasing seismic intensities. The building seismic performance in terms of damage and direct losses is evaluated for two performance models, the first one considering only the median values of infill strut parameters, the second one considering the uncertainties of such parameters. For both performance models, element fragility characterization is completed by state-of-the-art fragility and consequence functions for clay brick infill walls. Results are presented for an intensity-based risk analysis as well as for complete life-cycle analysis, which outputs expected annualized losses.

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Modeling uncertainty of specimens employing spines and force‐limiting connections tested at E‐defense shake table

Astudillo

Rivera

Duke

et al. 2023

Earthq Engng Struct Dyn

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In light of the significant damage observed after earthquakes in Japan and New Zealand, enhanced performing seismic force‐resisting systems and energy dissipation devices are increasingly being utilized in buildings. Numerical models are needed to estimate the seismic response of these systems for seismic design or assessment. While there have been studies on modeling uncertainty, selecting the model features most important to response can remain ambiguous, especially if the structure employs less well‐established lateral force‐resisting systems and components. Herein, a global sensitivity analysis was used to address modeling uncertainty in specimens with elastic spines and force‐limiting connections (FLCs) physically tested at full‐scale at the E‐Defense shake table in Japan. Modeling uncertainty was addressed for both model class and model parameter uncertainty by varying primary models to develop several secondary models according to pre‐established uncertainty groups. Numerical estimates of peak story drift ratio and floor acceleration were compared to the results from the experimental testing program using confidence intervals and root‐mean‐square error. Metrics such as the coefficient of variation, variance, linear Pearson correlation coefficient, and Sobol index were used to gain intuition about each model feature's contribution to the dispersion in estimates of the engineering demands. Peak floor acceleration was found to be more sensitive to modeling uncertainty compared to story drift ratio. Assumptions for the spine‐to‐frame connection significantly impacted estimates of peak floor accelerations, which could influence future design methods for spines and FLC in enhanced lateral‐force resisting systems.

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

Cited by 15 publications

References 67 publications

On the reliability of the equivalent frame models: the case study of the permanently monitored Pizzoli’s town hall

On the reliability of the equivalent frame models: the case study of the permanently monitored Pizzoli’s town hall

Seismic Loss Analysis of a Modern Rc Building Accounting for Uncertainty of Infill Strut Modeling Parameters

Modeling uncertainty of specimens employing spines and force‐limiting connections tested at E‐defense shake table

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