Quantitative assessment of nonlinear macro-models for global behavior and design of planar RC walls

Pozo, Juan D.; Hube, M.; Kurama, Yahya C.

doi:10.1016/j.engstruct.2020.111190

Cited by 13 publications

(7 citation statements)

References 28 publications

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“…They concluded that the lumped-plasticity modeling approach gives reliable results for rectangular and nonrectangular wall cross-section shapes. As another example, Pozo et al 9 assessed the effects of the modeling parameters and discretization on the global and local nonlinear behaviors and computational times of numerical cyclic lateral force-deformation responses of squad and slender RC walls modeled using four nonlinear macro models. They proposed a new quantitative assessment approach of nonlinear macro models used to simulate the hysteretic responses of RC walls that can be incorporated into the performance-based seismic design guidelines for RC wall buildings.…”

Section: Numerical Models Proposed In the Literaturementioning

confidence: 99%

“…They can be defined either by force‐deformation, moment‐rotation, or stress‐strain constitutive laws and consider either coupled or uncoupled axial, flexural, and shear responses 1–5 . The capability of the numerical models to predict the seismic structural responses of buildings depends on the complexity of the building (e.g., material properties, geometry, number of stories, and dynamic properties), the characteristics of the ground motion (e.g., intensity, frequency content, directionality, and duration), the assumptions made for the development of a modeling approach (e.g., nonlinearity, coupled structural responses, and modeled failure mechanisms), and the calibration of the numerical model parameters considering their uncertainty 6,7 . A comparative analysis is needed to select the appropriate modeling approach for the problem that is being solved.…”

Section: Introductionmentioning

confidence: 99%

“…They concluded that the lumped‐plasticity modeling approach gives reliable results for rectangular and nonrectangular wall cross‐section shapes. As another example, Pozo et al 9 . assessed the effects of the modeling parameters and discretization on the global and local nonlinear behaviors and computational times of numerical cyclic lateral force‐deformation responses of squad and slender RC walls modeled using four nonlinear macro models.…”

Section: Introductionmentioning

confidence: 99%

“…They proposed a new quantitative assessment approach of nonlinear macro models used to simulate the hysteretic responses of RC walls that can be incorporated into the performance‐based seismic design guidelines for RC wall buildings. The same authors also conducted numerical earthquake simulations of RC wall buildings to quantify the effects of the variability from different nonlinear RC wall modeling approaches on the local and global responses using four fiber‐based nonlinear models 7 . They concluded that the variability in the simulated global responses was significantly smaller than the variability in the simulated local responses.…”

Section: Introductionmentioning

confidence: 99%

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Reinforced concrete wall buildings with force‐limiting connections: Modeling effects and uncertainty propagation

Mayorga,

Tsampras

2024

Earthq Engng Struct Dyn

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This paper assesses the effects of (1) the gravity load‐resisting system (GLRS) modeling approach, (2) the seismic force‐resisting system (SFRS) modeling approach, and (3) the uncertainty of the model parameters of the constitutive law of the longitudinal reinforcing steel of the SFRS on the seismic responses of a 12‐story reinforced concrete wall building with force‐limiting connections. This is achieved by conducting nonlinear numerical earthquake simulations. The seismic responses of the building models with force‐limiting connections using two GLRS modeling approaches, (1) a moment frame system and (2) a pin‐base lean‐on‐column system, are compared. The seismic responses of the building models with conventional connections and force‐limiting connections, respectively, using two SFRS modeling approaches, (1) a distributed‐plasticity modeling approach and (2) a lumped‐plasticity modeling approach, are compared. A joint probability density function for the ASTM‐A615 Grade 60 steel available in the literature is used to conduct an uncertainty propagation analysis through Monte Carlo simulation. The uncertainty in the steel model parameters is propagated to the seismic responses of the building models with conventional connections and force‐limiting connections, respectively. The distributions of the mean values of the peak structural responses of the building models are studied. The effects of the GLRS modeling approach on the seismic responses are not significant in the context of seismic performance‐based design and assessment of buildings with force‐limiting connections. The effects of the SFRS modeling approach and the uncertainty in the steel model parameters on the floor total acceleration and force responses are reduced by including force‐limiting connections.

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Section: Numerical Models Proposed In the Literaturementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Reinforced concrete wall buildings with force‐limiting connections: Modeling effects and uncertainty propagation

Mayorga,

Tsampras

2024

Earthq Engng Struct Dyn

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“…It is recognized that distributed-plasticity beam-column models with fiber sections [20][21][22] provide a more accurate approach to simulate NL behaviour RC walls than lumped-plasticity models under both static and dynamic loads [18], because they can capture the variation of axial force in the axial-flexural interaction. This behaviour can be expressed by shear, bending, or combined shear-bending [7].…”

Section: Modeling Aspectmentioning

confidence: 99%

Slenderness Ratio and Influencing Parameters on the NL Behaviour of RC Shear Wall

2021

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Shear walls are very efficient structural elements to resist lateral seismic disturbance. Despite the aforementioned seismic performance, recent investigations report that they have suffered from significant structural damage after recent seismic activity, even for those complying with seismic provisions. These deficiencies in resistance and deformation capacities need to be explored. This study considers the influence of plastic length Lp, concrete compressive strength f_c28, longitudinal reinforcement ratio ρl, transverse reinforcement ratio ρsh, reduced axial load ν, confinement zone depth CS and focusing on the geometric slenderness λ. The parametric study has been conducted through NL pushover analysis using Peform3D software. The chosen coupled shear-flexure fiber macro model was calibrated with well-known cyclic experimental specimens. The paper points out the discrepancy between the two well-known codes EC8 and ASCE/SEI 41-13. In fact, the value of the slenderness ratio (λ) that trigger the beginning of a purely flexural behaviour recommended by EC8 (λ>2) is very different from the value of the ASCE/SEI 41-13 (λ>3) without accounting for the effect of the reduced axial force. Finally, it was found that RCW capacities are very sensitive to f_c28, ν, ρl, Lp and less sensitive to ρsh and CS. However, (λ) is the most decisive factor affecting the NL wall response. A new limit of slenderness and appropriate deformations of rotations are recommended to provide an immediate help to designers and an assistance to those involved with drafting codes. Doi: 10.28991/cej-2021-03091777 Full Text: PDF

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Collapse Fragility Functions for Squat Reinforced Concrete Shear Walls with Different Design Parameters

Akl

Ezzeldin

2023

Lecture Notes in Civil Engineering

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Quantitative assessment of nonlinear macro-models for global behavior and design of planar RC walls

Cited by 13 publications

References 28 publications

Reinforced concrete wall buildings with force‐limiting connections: Modeling effects and uncertainty propagation

Reinforced concrete wall buildings with force‐limiting connections: Modeling effects and uncertainty propagation

Slenderness Ratio and Influencing Parameters on the NL Behaviour of RC Shear Wall

Collapse Fragility Functions for Squat Reinforced Concrete Shear Walls with Different Design Parameters

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