Finite element analysis of experimentally tested RC and PC beams using the cracked membrane model

Thoma, Karel

doi:10.1016/j.engstruct.2018.04.010

Cited by 11 publications

(16 citation statements)

References 11 publications

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“…The beam studied is shown in Figure 3. [11] It was observed that both the crack orientation and the decompressed area in the longitudinal girder are determined sufficiently well by the NLFE analysis. The similar behavior can be seen in Figure 4 where the red lines represent the NFLE analysis.…”

Section: Behavior Of Indirect Supportmentioning

confidence: 90%

“…To calculate this reinforcement, two strut ant tie models are connected, one for the supported beam and the other for the supporting beam. Thoma [11] used a nonlinear finite element analysis (NFLE) to model numerically the static behavior of different experimentally tested beams, with one being a case of a prestressed beam with an indirect support. The beam studied is shown in Figure 3.…”

Section: Behavior Of Indirect Supportmentioning

confidence: 99%

“…Figure 4. Crack pattern at failure: (a) view of longitudinal girder; (b) view of transverse girder-longitudinal girder [11]. …”

mentioning

confidence: 99%

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Considerations on the design of indirect supports in reinforced concrete beams

Celestino

Horowitz

2023

Rev. IBRACON Estrut. Mater.

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Indirect supports consist of beams being supported by others beams, demanding the presence of a hanger reinforcement, required by ABNT NBR 6118, that will act as a tie hanging the applied load from the supported beam to the upper chord of the supporting beam. Therefore, the present work, through the study of experimental results in the literature, aims to present recommendations for the design of indirect supports and hanger reinforcements in reinforced concrete beams. Through a parametric analysis, was obtained an equation that calculates the load to be suspended as a function of the dimensions of the beams. It was observed that in some cases the reinforcement can be dispensed. The hanger reinforcement must be added to the shear reinforcement and in the case of regions where there is a torsional moment acting on the support beam, it was noticed that only the inner legs of the support beam stirrups collaborate to hang the load.

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Section: Behavior Of Indirect Supportmentioning

confidence: 90%

Section: Behavior Of Indirect Supportmentioning

confidence: 99%

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Considerations on the design of indirect supports in reinforced concrete beams

Celestino

Horowitz

2023

Rev. IBRACON Estrut. Mater.

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“…Therefore, the simplified version of the model considering rotating, stress-free cracks, the CMM-R, is considered in the following 23,24 . This model has been successfully implemented in FE-codes by several researchers [33][34][35] , including a generalization to the analysis of shell elements using a sandwich model approach [36][37][38] .…”

Section: Compression Field Approaches For Conventionally Reinforced Cmentioning

confidence: 99%

Compression Field Analysis of Fiber-Reinforced Concrete Based on Cracked Membrane Model

Kaufmann¹,

Mata‐Falcón²,

Amin³

2019

ACI Structural Journal

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“…In the first phase, non-linear FEM for reinforced concrete plates and slabs developed at ETH Zurich [3][4][5][6][7][8] are combined with scientific machine learning (SciML) algorithms to create hybrid AI-FEM models, which are expected to be much more efficient compared to established analysis methods both in terms of the computing power required and the reliability of predicting the load-bearing behaviour. In the second phase of this project, the AI-FEM-Hybrids will be used within a novel Generative Design process for accelerated yet realistic conceptual design of bridges [1,2].…”

Section: Introductionmentioning

confidence: 99%

Artificial intelligence - finite element method - hybrids for efficient nonlinear analysis of concrete structures

Kraus

Bischof

Kaufmann

et al. 2022

APP

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Realistic structural analyses and optimisations using the non-linear finite element method are possible today yet suffer from being very time-consuming, particularly in case of reinforced concrete plates and shells. Hence such investigations are currently dismissed in the vast majority of cases in practice. The "Artificial Intelligence - Finite Element - Hybrids" project addresses the current unsatisfactory situation with an approach that combines non-linear finite element models for reinforced concrete shells with scientific machine learning algorithms to create hybrid AI-FEM models. The AI-based surrogate material model provides the material stiffness as well as the stress tensor for given concrete design parameters and the strain tensor. This paper reports on the current status of the project and findings of the calibration of the AI-based reinforced concrete material model. We successfully calibrated and evaluated k-nearest-neighbour, LGBM and ResNet algorithms and report their predictive capabilities. Finally, some light is shed on the future work of integrating the AI surrogate material models back into the finite element method in the course of the numerical analysis of reinforced concrete structures.

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Finite element analysis of experimentally tested RC and PC beams using the cracked membrane model

Cited by 11 publications

References 11 publications

Considerations on the design of indirect supports in reinforced concrete beams

Considerations on the design of indirect supports in reinforced concrete beams

Compression Field Analysis of Fiber-Reinforced Concrete Based on Cracked Membrane Model

Artificial intelligence - finite element method - hybrids for efficient nonlinear analysis of concrete structures

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