Nonlinear Finite Element for Reinforced Concrete Slabs

Phuvoravan, Kitjapat; Sotelino, Elisa D.

doi:10.1061/(asce)0733-9445(2005)131:4(643)

Cited by 27 publications

(9 citation statements)

References 2 publications

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“…After this, the analysis of RC structures has enjoyed a growing interest and extensive work has appeared. Great progress has been made in the finiteelement-based numerical analysis of plain and RC structures, for instance, the work in the literature (Carpinteri et al, 2012;Elwood, 2004;Fantilli et al, 2002;Junior and Venturini, 2007;Majewski et al, 2008;Phuvoravan and Sotelino, 2005;Saleh and Aliabadi, 1998;Wang and Teng, 2007; just to mention a few). Most of these investigations are established in the context of macro-scale models.…”

Section: Introductionmentioning

confidence: 99%

A meso-scale analysis method for the simulation of nonlinear damage and failure behavior of reinforced concrete members

Jin

2012

International Journal of Damage Mechanics

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Based on the meso-mechanical analysis model of concrete material, a meso-scale numerical approach is developed for the simulation of failure behavior and nonlinear mechanical properties of reinforced concrete members. The present meso-mechanical approach, i.e. so-called the meso-element equivalent method, is capable of capturing the important characteristic of concrete heterogeneity. Two reinforced concrete columns of different sizes subjected to uniaxial compression is simulated using both a macroscale homogeneous and a meso-scale heterogeneous model to illustrate the rationality of the meso-scale approach. In the simulations, perfect bond between concrete and reinforcing steel is assumed. The mesoscale simulation results are compared with the macro-scale results as well as the experimental observations. Results of the simulation at the meso-scale are in good agreement with experiments in terms of the failure patterns and the global mechanical properties, which demonstrate the rationality and accuracy of the present meso-mechanical approach. The present meso-scale approach can well simulate not only the macroscopic mechanical properties of the two reinforced concrete columns but also their failure process, such as the buckling behavior of the longitudinal reinforcement, the necking fracture of the stirrups, the broken positions of concrete, etc. Besides that it can be concluded from the numerical results that the present meso-mechanical approach can be extended to investigate the size effect in reinforced concrete members.

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Section: Introductionmentioning

confidence: 99%

A meso-scale analysis method for the simulation of nonlinear damage and failure behavior of reinforced concrete members

Jin

2012

International Journal of Damage Mechanics

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“…Many successful computational implementations have been achieved in last several decades for analyzing structural integrity and capacity subjected to dynamic loading. For example, finite element method (FEM) is one of the most popular simulationbased methods for structural dynamic analysis with extensive applications in civil [1,2], mechanical [3,4], and aeronautical engineering [5,6]. Despite recent advances in computational power (e.g.…”

Section: Introductionmentioning

confidence: 99%

Physics-Informed Multi-LSTM Networks for Metamodeling of Nonlinear Structures

Zhang,

Liu,

Sun

2020

Preprint

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This paper introduces an innovative physics-informed deep learning framework for metamodeling of nonlinear structural systems with scarce data. The basic concept is to incorporate physics knowledge (e.g., laws of physics, scientific principles) into deep long short-term memory (LSTM) networks, which boosts the learning within a feasible solution space. The physics constraints are embedded in the loss function to enforce the model training which can accurately capture latent system nonlinearity even with very limited available training datasets. Specifically for dynamic structures, physical laws of equation of motion, state dependency and hysteretic constitutive relationship are considered to construct the physics loss. In particular, two physics-informed multi-LSTM network architectures are proposed for structural metamodeling. The satisfactory performance of the proposed framework is successfully demonstrated through two illustrative examples (e.g., nonlinear structures subjected to ground motion excitation). It turns out that the embedded physics can alleviate overfitting issues, reduce the need of big training datasets, and improve the robustness of the trained model for more reliable prediction. As a result, the physics-informed deep learning paradigm outperforms classical non-physics-guided data-driven neural networks.

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“…Some of those numerical models and experimental tests can be found in Refs. [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15]. Moreover, the punching shear has been the object of an intense experimental effort recently [16][17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Nonlinear analysis of concrete shells including effects of normal and transverse shear stresses

Matešan

Radnić

Baloević

et al. 2014

Materialwissenschaft Werkst

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The previously developed numerical model of the authors for the analysis of conventional reinforced and prestressed concrete shells under short-term and long-term loading was improved by including the effects of transverse shear stresses on the shell failure. The 9-node degenerated shell element with the layered material model through the thickness of the shell was used. The reinforcement was modelled as a separate layer. To include the effect of transverse shear stresses on the shell failure, the failure criterion for concrete and longitudinal reinforcement was defined by a relation of transverse shear stresses and normal stresses in two mutually perpendicular vertical planes. The total transverse shear bearing capacity of the shell crosssection is obtained by summing up the concrete and reinforcement contributions. The developed numerical model and appropriate software were verified based on experimental tests. Das von denAutoren kürzlich entwickelte numerische Modell zur Analyse von konventionell verstärkten und vorgespannten Betonschalen unter Kurzzeit-und Langzeitbelastung wurde durch Berücksichtigung der Effekte in Folge der Querschubspannungen verbessert. Das degenerierte Schalenelement mit 9 Knoten mit einem schichtweisen Materialmodell über die Dicke wurde verwendet. Die Verstärkung wurde als eine eigene Schicht modelliert. Um die Effekte der Querschubschubspannungen auf das Schalenversagen zu berücksichtigen, wurde ein Versagenskriterium für Beton und die Längsverstärkung definiert, die die Querschubschubspannungen und die Normalspannungen in zwei zueinander senkrechten Ebenen beinhaltet. Die gesamte Lasttragfähigkeit auf Grund des Querschubs wird durch Summation der Beiträge von Beton und Verstärkung erhalten. Das entwickelte numerische Modell und das entsprechende Programm wurden mittels experimenteller Versuche verifiziert. Schlüsselwörter: Betonschale / Querschub / Schubfestigkeit / Experiment / numerisches Modell

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Nonlinear Finite Element for Reinforced Concrete Slabs

Cited by 27 publications

References 2 publications

A meso-scale analysis method for the simulation of nonlinear damage and failure behavior of reinforced concrete members

A meso-scale analysis method for the simulation of nonlinear damage and failure behavior of reinforced concrete members

Physics-Informed Multi-LSTM Networks for Metamodeling of Nonlinear Structures

Nonlinear analysis of concrete shells including effects of normal and transverse shear stresses

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