A new technique for studying the behaviour of concrete in shear

Boulifa, Ridha; Samai, Mohamed Laid; Benhassine, Mohamed Tayeb

doi:10.1016/j.jksues.2012.07.001

Cited by 16 publications

(17 citation statements)

References 16 publications

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“…Because the capacity curves are also used for civil protection purposes, namely for assessing the degree of damage associated with any given earthquake scenario [16], and not only for assessing the seismic safety level that is established in the EC3-3, a different approach was adopted in the context of the PERSISTAH project, which was already used in past seismic assessment studies [26], namely: if the NC shear capacity limit was reached during the iterative process, which corresponds to the shear capacity that is given by Equation (A.12) of EC8-3, then the shear strength was reduced to a value corresponding to 20% of the initial shear strength without stopping the pushover analysis. This value is the SeismoStruct default option, which agrees with results obtained from some laboratorial tests results [27]. The EC8-1 establishes that it is necessary to consider three positions of the MC (to account for the accidental eccentricity) for each horizontal direction and two different patterns of force distribution (an "uniform" distribution, which is obtained by considering φi = 1, and a "modal" distribution, which in the present study was considered equal to shape deformation associated with the vibration mode with the highest participation factor in each direction), as schematized in Figure 9.…”

Section: The Obtained Capacity Curvessupporting

confidence: 87%

Nonlinear Seismic Analysis of Existing RC School Buildings: The “P3” School Typology

Estêvão

Esteves

2020

Buildings

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The seismic assessment of existing school buildings is an important issue in earthquake prone regions; such is the case of the Algarve, which is the southern region of Portugal mainland. Having this problem in mind, the PERSISTAH project (Projetos de Escolas Resilientes aos SISmos no Território do Algarve e de Huelva, in Portuguese) aimed to develop a computational approach enabling the damage evaluation of a large number of individual school buildings. One of the school typologies assessed was the so-called “P3” schools. This typology is composed of several different modules that are combined in different manners depending on the number of students. Each module was built in accordance with architectural standardised designs. For this reason, there are many replicas of these modules all over the Algarve region. The structural system of each module is composed of a frame of reinforced concrete (RC) elements. Nonlinear static seismic analysis procedures were adopted to evaluate the structural seismic behaviour, namely by using the new concept of performance curve. Based on the obtained results, it was possible to conclude that the seismic safety of this type of school building is mainly ruled by the shear capacity of the columns. This study also shows the difficulties of carrying out accurate seismic assessments of existing buildings using the methods of analysis that are established in the Eurocode 8.

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Section: The Obtained Capacity Curvessupporting

confidence: 87%

Nonlinear Seismic Analysis of Existing RC School Buildings: The “P3” School Typology

Estêvão

Esteves

2020

Buildings

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“…Each incremental static nonlinear structural analysis was carried out until the EC8-3 near collapse (NC) limit state was reached for the chord rotation capacity (Equation (A.1) of the EC8-3), or when it was impossible to reach the convergence of iterative process used in the nonlinear structural analysis. When the NC shear capacity limit was reached (Equation (A.12) of EC8-3), the shear strength was reduced to a value corresponding to only 20% of the original strength (this is the SeismoStruct default option, which seems acceptable when observing some laboratorial tests results [29]).…”

Section: Adopted Mffnnmentioning

confidence: 99%

Feasibility of Using Neural Networks to Obtain Simplified Capacity Curves for Seismic Assessment

Estêvão

2018

Buildings

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The selection of a given method for the seismic vulnerability assessment of buildings is mostly dependent on the scale of the analysis. Results obtained in large-scale studies are usually less accurate than the ones obtained in small-scale studies. In this paper a study about the feasibility of using Artificial Neural Networks (ANNs) to carry out fast and accurate large-scale seismic vulnerability studies has been presented. In the proposed approach, an ANN was used to obtain a simplified capacity curve of a building typology, in order to use the N2 method to assess the structural seismic behaviour, as presented in the Annex B of the Eurocode 8. Aiming to study the accuracy of the proposed approach, two ANNs with equal architectures were trained with a different number of vectors, trying to evaluate the ANN capacity to achieve good results in domains of the problem which are not well represented by the training vectors. The case study presented in this work allowed the conclusion that the ANN precision is very dependent on the amount of data used to train the ANN and demonstrated that it is possible to use ANN to obtain simplified capacity curves for seismic assessment purposes with high precision.

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“…The great difficulty is to develop an accurate test setup capable of introducing a pure shear stress field. Several shear test setup configurations have been proposed by various researchers in an attempt of capturing the shear behavior of materials (Ohno 1957;Iosipescu 1967;Banks-Sills and Arcan 1983;Reinhardt et al 1997;Boulifa et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Shear Properties of the Strain Hardening Cementitious Composite Material

Baghi

Barros

2016

J. Mater. Civ. Eng.

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Recently, Strain Hardening Cementitious Composite (SHCC) material has been used for the shear strengthening and the structural rehabilitation of reinforced concrete structures. However, the shear behavior of this material has not been yet fully understood due to lack of an appropriate and accurate direct shear test method. This paper aims to investigate the shear properties of the SHCC material. For this purpose, Iosipescu shear test was selected, where loads are applied in antisymmetric four points bending, assuring a pure shear section at the center of the specimen. A special geometry for the specimen was adopted in order to assure a uniform shear stress distribution in the pure shear section. This experimental test can characterize the shear behavior of SHCC material. The experimental test was simulated by the FEM-based computer program, FEMIX. To predict the average shear stress-sliding response, the shear crack softening diagram, available in the multi-directional fixed smeared crack model, was used. After demonstration the good predictive performance of the numerical model, a parametric study was carried out to evaluate the influence of shear retention factor, fracture energy of mode II, and crack shear strength on the average shear stress-sliding response of the SHCC. The advantage of SHCC instead of conventional mortar was also studied.

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A new technique for studying the behaviour of concrete in shear

Cited by 16 publications

References 16 publications

Nonlinear Seismic Analysis of Existing RC School Buildings: The “P3” School Typology

Nonlinear Seismic Analysis of Existing RC School Buildings: The “P3” School Typology

Feasibility of Using Neural Networks to Obtain Simplified Capacity Curves for Seismic Assessment

Shear Properties of the Strain Hardening Cementitious Composite Material

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