Hardness correlation length in a self-compacting concrete

Junges, Bruna Maria Becker; Ficher, Nadine Machado; Kosteski, Luís Eduardo; Marangon, Ederli

doi:10.1590/s1983-41952020000400001

Cited by 2 publications

(1 citation statement)

References 7 publications

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“…The link between the random field variability in the level of the cubic module and in the level of each bar is discussed in [41]. As a reliable estimate for the random field's correlation length still requires deeper studies regarding the rock's material properties, following [62], this value was assumed equal to the characteristic length d eq .…”

Section: Numerical Simulationmentioning

confidence: 99%

Damage Evolution in Quasi-Brittle Materials: Experimental Analysis by AE and Numerical Simulation

Rojo Tanzi,

Sobczyk,

Iturrioz

et al. 2023

Applied Sciences

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This work investigates the extension of a total-collapse prediction method to include local failures in quasi-brittle materials as they undergo damage processes. The analysis is experimentally conducted with acoustic emission data from a basalt specimen under a prescribed displacement loading test. The proposed failure index is compared with the well-established b-value to evaluate its usefulness; the simulation results are also used to further investigations. In particular, the simulations show that the parameter calculation can be carried out by indirectly estimating the elastic energy released within the system throughout the damage process, which cannot be measured directly. It is concluded that the proposed method is valid, consistently outperforming the b-value as a failure precursor throughout the experimental studies.

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Section: Numerical Simulationmentioning

confidence: 99%

Damage Evolution in Quasi-Brittle Materials: Experimental Analysis by AE and Numerical Simulation

Rojo Tanzi,

Sobczyk,

Iturrioz

et al. 2023

Applied Sciences

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A study by the lattice discrete element method for exploring the fractal nature of scale effects

Kosteski

Iturrioz²,

Friedrich

et al. 2022

Sci Rep

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Nowadays, there are many applications in the field of Engineering related to quasi-brittle materials such as ceramics, natural stones, and concrete, among others. When damage is produced, two phenomena can take place: the damage produced governs the collapse process when working with this type of material, and its random nature rules the nonlinear behavior up to the collapse. The interaction among clouds of micro-cracks generates the localization process that implies transforming a continuum domain into a discontinue one. This process also governs the size effect, that is, the changes of the global parameters as the strength and characteristic strain and energies when the size of the structure changes. Some aspects of the scaling law based on the fractal concepts proposed by Prof Carpinteri are analyzed in this work. On the other hand, the Discrete Method is an interesting option to be used in the simulation collapse process of quasi-brittle materials. This method can allow failures with relative ease. Moreover, it can also help to relax the continuum hypothesis. In the present work, a version of the Discrete Element Method is used to simulate the mechanical behavior of different size specimens until collapse by analyzing the size effect represented by this method. This work presents two sets of examples. Its results allow the researchers to see the connection between the numerical results regarding the size effect and the theoretical law based on the fractal dimension of the parameter studied. Two main aspects appear as a result of the analysis presented here. Understand better some aspects of the size effect using the numerical tool and show that the Lattice Discrete Element Method has enough robustness to be applied in the nonlinear analysis of structures built by quasi-brittle materials.

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Hardness correlation length in a self-compacting concrete

Cited by 2 publications

References 7 publications

Damage Evolution in Quasi-Brittle Materials: Experimental Analysis by AE and Numerical Simulation

Damage Evolution in Quasi-Brittle Materials: Experimental Analysis by AE and Numerical Simulation

A study by the lattice discrete element method for exploring the fractal nature of scale effects

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