Comparative efficiency analysis of different nonlinear modelling strategies to simulate the biaxial response of RC columns

Rodrigues, Hugo; Varum, Humberto; Arêde, António; Costa, Anı́bal

doi:10.1007/s11803-012-0141-1

Cited by 58 publications

(18 citation statements)

References 26 publications

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“…For a short-period shearcritical structure, the global response can be largely different depending on the adopted numerical model. Rodrigues et al (2012) made a comparison between lumped plasticity and distributed inelasticity. The results of experimental and numerically analysis of 24 columns show that the global envelope response is satisfactorily represented with the three modeling strategies, but significant differences were found in the strength degradation for higher drift demands and energy dissipation.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Different Numerical Models of RC Elements for Predicting the Seismic Performance of Structures

Zendaoui

Kadid

2016

Int J Concr Struct Mater

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This paper aims to provide guidelines for the numerical modeling of reinforced concrete (RC) frame elements in order to assess the seismic performance of structures. Several types of numerical models RC frame elements are available in nonlinear structural analysis packages. Since these numerical models are formulated based on different assumption and theories, the models accuracy, computing time, and applicability vary, which poses a great difficulty to practicing engineering and limits their confidence in the analysis resultants. In this study, the applicability of four representative numerical models of RC frame elements is evaluated through comparison with experimental results of four-storey bare frame available from European Laboratory for Structural Assessment. The accuracy of a numerical model is evaluated according to the top displacement, interstorey drift, Maximum storey shear, damage pattern and energy dissipation capacity of the frame structure. The results obtained allow a better understanding of the characteristics and potentialities of all procedures, helping the user to choose the best approach to perform nonlinear analysis.

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Section: Introductionmentioning

confidence: 99%

Comparison of Different Numerical Models of RC Elements for Predicting the Seismic Performance of Structures

Zendaoui

Kadid

2016

Int J Concr Struct Mater

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“…Deierlein et al summarized the main features of five types of frame elements and provided a general modeling guideline. Rodrigues et al compared the efficiency of three fiber models to represent the biaxial behavior of RC columns. In addition to these, there is a large body of studies on numerical modeling of RC elements.…”

Section: Introductionmentioning

confidence: 99%

Numerical models of RC elements and their impacts on seismic performance assessment

Huang

Kwon

2014

Earthq Engng Struct Dyn

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This paper aims to provide a guideline for numerical modeling of reinforced concrete (RC) frame elements for the seismic performance assessment of a structure. Several types of numerical models of RC frame elements are available in nonlinear structural analysis packages. Because the numerical models are formulated based on different assumptions and theories, the models' accuracy, computing time, and applicability vary, which poses a great difficulty to practicing engineers and limits their confidence in the analysis results. In this study, the applicability of five representative numerical models of RC frame elements is evaluated through comparison with 320 experimental results available from the Pacific Earthquake Engineering Research column database. The accuracy of a numerical model is evaluated according to its initial stiffness, peak strength, and energy dissipation capacity of the global responses. In addition, a parametric study of a cantilever RC column subjected to earthquake excitation is carried out to systematically evaluate the consequence of the adopted numerical models on the maximum inelastic structural responses. It is found from this study that the accuracy of the numerical models is sensitive to shear force demand-capacity ratio. If a structural period is short and the structure is shear critical, the use of numerical models that can explicitly capture the shear deformation and failure is suggested. If the structural period is long, the selection of a numerical model does not greatly influence the global response of the structure. The paper also presents statistical parameters of each numerical model, which can be used for probabilistic seismic performance assessment.measures, the sophisticated numerical model can predict the specimen's response more accurately than other numerical models. This observation, however, is not sufficient to define the applicability of the numerical models for seismic performance assessment because the dynamic response of a structure also depends on other parameters, such as structural period, intensity of seismic excitation, and Figure 11. Peak displacement of flexure-critical columns (left) and shear-critical columns (right) when modeled with OS-FBEC and VT2-MCFT.

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“…This decision was based on the reports provided by Priestley and Park [27], Paulay and Priestley [28] and by other authors who have concluded from experimental evidence that the plastic hinge length is not strongly affected by two-dimensional loading [29]. The modeling assumptions adopted for the beams and columns were based on the conclusions of the work developed by Rodrigues et al [30], in which they studied the biaxial flexural behavior of RC columns. For the concrete modeling, the uniaxial material model based on the Mander et al [31] and Madas [32] uniaxial models was adopted.…”

Section: Numerical Modeling Strategiesmentioning

confidence: 99%

Influence of seismic loading on axial load variation in reinforced concrete columns

Rodrigues

Furtado

Arêde

et al. 2018

e-GFOS

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Experimental tests demonstrated the importance of the axial load variation in the seismic response of RC columns, namely, through the reduction in the strength capacity, reduced deformation capacity, and reduced energy dissipation capacity. Thus, this manuscript aims to study the axial load variability of RC columns, according to the plan and height disposition, and assess the relationship between the corresponding column flexure capacity and its influence on the global response of the structure. Hence, three RC structures were modeled using the software SeismoStruct and subjected to non-linear static pushover and dynamic analyses. According to the results, which are assessed in terms of capacity curves, axial load variation, and story/global shear capacity of each model, it can be concluded that the axial load variation is higher in the bottom storys and decreases with the story height of the structure. As observed, the corner columns reached a higher axial load variation than the façade and central columns.

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Comparative efficiency analysis of different nonlinear modelling strategies to simulate the biaxial response of RC columns

Cited by 58 publications

References 26 publications

Comparison of Different Numerical Models of RC Elements for Predicting the Seismic Performance of Structures

Comparison of Different Numerical Models of RC Elements for Predicting the Seismic Performance of Structures

Numerical models of RC elements and their impacts on seismic performance assessment

Influence of seismic loading on axial load variation in reinforced concrete columns

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