Drift capacity of lightly reinforced concrete columns

Wibowo, Ari; Wilson, John L.; Lam, Nelson; Gad, Emad

doi:10.7158/s13-002.2014.15.2

Cited by 17 publications

(8 citation statements)

References 12 publications

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“…The localisation of post‐peak shear strains in the critical length is herein termed shear failure localisation . In essence, it mainly represents the relative rigid body displacement between the discrete upper and lower parts of the column along the shear crack; this can be seen in the image of an actual experimental test of a shear‐deficient R/C column in Figure B …”

Section: Hysteretic Shear Model Descriptionmentioning

confidence: 99%

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Modelling of R/C members accounting for shear failure localisation: Hysteretic shear model

Zimos

Mergos

Kappos

2018

Earthq Engng Struct Dyn

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Summary Reinforced concrete (R/C) frame buildings designed according to older seismic codes represent a large part of the existing building stock worldwide. Their structural elements are often vulnerable to shear or flexure‐shear failure, which can eventually lead to loss of axial load resistance of vertical elements and initiate vertical progressive collapse of a building. In this study, a hysteretic model capturing the local shear response of shear‐deficient R/C elements is described in detail, with emphasis on post‐peak behaviour; it differs from existing models in that it considers the localisation of shear strains after the onset of shear failure in a critical length defined by the diagonal failure planes. Additionally, an effort is made to improve the state of the art in post‐peak shear response modelling, by compiling the largest database of experimental results for shear and flexure‐shear critical R/C columns cycled well beyond the onset of shear failure and/or up to the onset of axial failure, and developing empirical relationships for the key parameters defining the local backbone post‐peak shear response of such elements. The implementation of the derived local hysteretic shear model in a computationally efficient beam‐column finite element model with distributed shear flexibility, which accounts for all deformation types, will be presented in a companion paper.

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Section: Hysteretic Shear Model Descriptionmentioning

confidence: 99%

“…A, Illustrative sketch of the critical length in a shear‐damaged column. B, Image of an actual experimental test of an axially failed shear‐deficient R/C column [Colour figure can be viewed at wileyonlinelibrary.com]…”

Section: Hysteretic Shear Model Descriptionmentioning

confidence: 99%

Modelling of R/C members accounting for shear failure localisation: Hysteretic shear model

Zimos

Mergos

Kappos

2018

Earthq Engng Struct Dyn

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“…The reason for the differences is that RC material exhibits strong uncertainties and nonlinearity. Moreover, under the combination of constant vertical and lateral dynamic loads, the seismic performance of RC columns is affected by many other properties of structural components, such as the shear span ratio [7], longitudinal and transverse reinforcement ratio [8,9] and the axial compression ratio [10].…”

Section: Introductionmentioning

confidence: 99%

Development of an ANN-Based Lumped Plasticity Model of RC Columns Using Historical Pseudo-Static Cyclic Test Data

Liu

2019

Applied Sciences

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This study explores the possibility of using an ANN-based model for the rapid numerical simulation and seismic performance prediction of reinforced concrete (RC) columns. The artificial neural network (ANN) method is implemented to model the relationship between the input features of RC columns and the critical parameters of the commonly used lumped plasticity (LP) model: The strength and the yielding, capping and ultimate deformation capacity. Cyclic test data of 1163 column specimens obtained from the PEER and NEEShub database and other sources are collected and divided into the training set, test set and validation set for the ANN model. The effectiveness of the proposed ANN model is validated by comparing it with existing explicit formulas and experimental results. Results indicated that the developed model can effectively predict the strength and deformation capacities of RC columns. Furthermore, the response of two RC frame structures under static force and strong ground motion were simulated by the ANN-based, bi-linear and tri-linear LP model method. The good agreement between the proposed model and test results validated that the ANN-based method can provide sufficiently accurate model parameters for modeling the seismic response of RC columns using the LP model.

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“…In this model, the concrete shear strength uses the formula developed based on principal tensile strength by authors [22], whilst the steel strength proposed by Wesley and Hashimoto [23] is used as follows:…”

mentioning

confidence: 99%

Cyclic Behaviour of Expanded Polystyrene (EPS) Sandwich Reinforced Concrete Walls

Wibowo

Wijatmiko

Nainggolan

2018

Advances in Materials Science and Engineering

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Precast concrete walls become increasingly utilized due to the rapid needs of inexpensive fabricated house especially as traditional construction cost continues to climb, and also, particularly at damaged area due to natural disasters when the requirement of a lot of fast-constructed and cost-efficient houses are paramount. However, the performance of precast walls under lateral load such as earthquake or strong wind is still not comprehensively understood due to various types of reinforcements and connections. Additionally, the massive and solid wall elements also enlarge the building total weight and hence increase the impact of earthquake significantly. Therefore, the precast polystyrene-reinforced concrete walls which offer light weight and easy installment became the focus of this investigation. The laboratory test on two reinforced concrete wall specimens using EPS (expanded polystyrene) panel and wire mesh reinforcement has been conducted. Quasi-static load in the form of displacement controlled cyclic tests were undertaken until reaching peak load. At each discrete loading step, lateral load-deflection behaviour, crack propagation, and collapse mechanism were measured which then were compared with theoretical analysis. The findings showed that precast polystyrene-reinforced concrete walls gave considerable seismic performance for the low-to-moderate seismic region reaching up to 1% drift at 20% drop of peak load. However, it might not be sufficient for high seismic regions, at which double-panel wall type can be more suitable.

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Drift capacity of lightly reinforced concrete columns

Cited by 17 publications

References 12 publications

Modelling of R/C members accounting for shear failure localisation: Hysteretic shear model

Modelling of R/C members accounting for shear failure localisation: Hysteretic shear model

Development of an ANN-Based Lumped Plasticity Model of RC Columns Using Historical Pseudo-Static Cyclic Test Data

Cyclic Behaviour of Expanded Polystyrene (EPS) Sandwich Reinforced Concrete Walls

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