Numerical DEM simulation of the evolution of damage and AE preceding failure of structural components

Iturrioz, Ignácio; Birck, Gabriel

doi:10.1016/j.engfracmech.2018.02.023

Cited by 16 publications

(9 citation statements)

References 9 publications

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“…Many researchers correlate AE counts to inelastic strain rates in rocks prior to failure [Boyce et al, 1981, Lockner et al, 1992. Other studies localize AE to demonstrate clustering, quantify material damage, and elucidate hysteresis [Berkovits and Fang, 1995, Godin et al, 2004, Iturrioz et al, 2019, Meng et al, 2016, Shah and Labuz, 1995, Sondergeld and Estey, 1981, and some even use AE to identify field scale fracture zones [Soma et al, 2002]. AE locations and magnitudes have shed light on heterogeneity controlled rock failures [Lei et al, 2004].…”

Section: Acoustic Emissions In the Intrinsic Process Zonementioning

confidence: 99%

“…Some DEM studies simply use trial and error calibration techniques to determine strength distribution mean and variation parameters [Khazaei et al, 2015, Ma andHuang, 2017]. Continuum methods, such as the Finite Element Method, approach the problem similarly by stochastically controlling the stiffness parameter, failure criteria, or fracture energy [Cai and Kaiser, 2004, Iturrioz et al, 2019, Tang and Kaiser, 1998, Yang et al, 2004. Liu et al [2004] investigated and compared a statistical approach to a direct homogenization approach.…”

Section: Introductionmentioning

confidence: 99%

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Modeling acoustic emissions in heterogeneous rocks during tensile fracture with the Discrete Element Method

Caulk¹

2020

Open Geomechanics

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A computationally efficient and open sourced methodology designed for the investigation of rock matrix heterogeneities and their effect on pre-and post-fracture Acoustic Emission (AE) distributions is presented. First, an image analysis method is proposed for building a statistical model representing rock heterogeneity. The statistical model is generalized and implemented into a discrete element contact model where it efficiently simulates the presence of defects and locally tough regions. The coupling of the heterogeneity model, discrete element model, and acoustic emission model is demonstrated using a numerical three point bending test. The shape parameter of the statistical model, which controls heterogeneity magnitude, is found to control the spatial width of the acoustic emission distribution generated during failure. The same acoustic emission distribution trend is observed in literature for rocks containing various magnitudes of heterogeneity. Further analysis of the numerical AE activity reveals that larger AE events are located directly along the fracture and they are linearly related to their number of constituent interactions. As such, an AE interaction count threshold is identified to distinguish between fracture and damage AE activity. These results demonstrate the ability of the presented methodology to investigate the location and energy release associated with large fracture events for various levels of heterogeneity.

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Section: Acoustic Emissions In the Intrinsic Process Zonementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modeling acoustic emissions in heterogeneous rocks during tensile fracture with the Discrete Element Method

Caulk¹

2020

Open Geomechanics

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“…The LDEM has been successfully used to solve several structural dynamics problems, such as shells subjected to impulsive loads, 15–17 fracture of elastic foundations on soft sand beds, 18 seismic wave generation during fault rupture, 19,20 scale effects in concrete 21 and in rock dowels, 22,23 the computation of fracture parameters in static and dynamic problems, 24,25 and the prediction of acoustic emission events in quasi-brittle materials 26,27 in the polymethyl methacrylate (PMMA) disk that impact against a rigid missile. 28 A brief description of basic features of the LDEM formulation used in this article is presented in the next section.…”

Section: Introductionmentioning

confidence: 99%

Random field generation of the material properties in the lattice discrete element method

Puglia

Kosteski

Riera

et al. 2019

The Journal of Strain Analysis for Engineering Design

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The lattice discrete element method has been successfully used to simulate the evolution of damage in structural mechanics. The approach has led to new perspectives in the solution of fracture problems in nonhomogeneous materials. For such purpose, it is necessary to introduce correctly the parameters that characterize the random nature of the material. In this article, the fracture toughness of the material is considered a three-dimensional random field, characterized by a probability density and the spatial distribution of the simulated random field which is governed by the correlation length. The methodology used to separate the random field simulated from the discretization level used is depicted in detail. Examples are shown that verify the objectivity of the results obtained respecting the discretization levels. Finally, the article concludes by emphasizing the relevance of this implementation in the damage simulation process in the so-called heterogeneous materials.

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“…The numerical research on the effects of crack shape have indicated it is of fundamental importance to consider realistic crack shapes (Branco et al, 2010). The fracture processes of concrete specimens under pure shear and uniaxial tensile stress have been successfully simulated using the discrete element method in which the components of the concrete weren't considered (Iturrioz et al, 2018). Grégoire et al (2013) carried out three-point bending fracture tests of geometrically similar notched and unnotched specimens.…”

Section: Introductionmentioning

confidence: 99%

Random evolution of multiple cracks and associated mechanical behaviors of segmental tunnel linings using a multiscale modeling method

Wang

Zhou

Zhang

et al. 2019

Tunnelling and Underground Space Technology

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Major defects, such as cracks, have significant effects on the mechanical behavior of segmental tunnel linings. However, obvious multiscale phenomena considering the size of cracks and the tunnel structure underestimates its impact on the mechanical behavior of the tunnel lining. Therefore, a novel multiscale modeling method has been proposed in which the potentially damaged and undamaged zones are recognized according to pre-analysis results and then simulated at different scales. In the model, mesoscopic features are considered within potentially damaged zones using a mesostructure cohesive zone method, while the other zones are simulated as a macroscopic homogeneous material. Herein, the mesostructure cohesive zone model has been used to incorporate the mesoscopic components and simulate the random propagation of multiple cracks. This is very useful for characterizing the features of multiple cracks and evaluating the mechanical behavior of segmental tunnel linings. After the multiscale model has been validated using the experimental results, the numerical simulations of the lining segment have been carried out under different loading paths to investigate the evolution characteristics of multiple cracks and their impact on the tunnel lining performance. The study demonstrates that the proposed multiscale model is effective and accurate for modeling the random evolution of multiple cracks and evaluating the load capacity of the segment under different loading paths. The stiffness of the lining was found to be not only dependent on the loading path, but also the features of the crack which in compression dominated segments are dense and narrow and in bending dominated segments are more dispersed and wider. A formula has also been developed to predict crack depth from the observed crack mouth opening displacement. The proposed novel multiscale method is a major step forward in modeling the capacity of cracked concrete tunnel linings.

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Numerical DEM simulation of the evolution of damage and AE preceding failure of structural components

Cited by 16 publications

References 9 publications

Modeling acoustic emissions in heterogeneous rocks during tensile fracture with the Discrete Element Method

Modeling acoustic emissions in heterogeneous rocks during tensile fracture with the Discrete Element Method

Random field generation of the material properties in the lattice discrete element method

Random evolution of multiple cracks and associated mechanical behaviors of segmental tunnel linings using a multiscale modeling method

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