Combination of an adaptive remeshing technique with a coupled FEM–DEM approach for analysis of crack propagation problems

Cornejo, Alejandro; Mataix, Vicente; Zárate, Francisco; Oñate, Eugenio

doi:10.1007/s40571-019-00306-4

Cited by 28 publications

(24 citation statements)

References 53 publications

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“…As a final precaution, cracks are prevented from being assigned within l e of the supports; this is done to enforce the upper and lower bounds and to allow the prior distribution for δ 1 to behave as a truncated normal distribution. Overall, the subject remeshing scheme functions in a similar manner as the delete‐and‐fill, moving point, and other adaptive meshing schemes that are employed for simulating crack propagation in higher‐fidelity FEMs 40‐42 …”

Section: Methodsmentioning

confidence: 99%

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Drive‐by health monitoring of highway bridges using Bayesian estimation technique for damage classification

Mokalled

Locke

Abuodeh

et al. 2022

Structural Contr & Hlth

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Drive-by health monitoring (DBHM) is an indirect structural health monitoring strategy that leverages vehicle mounted sensors to detect, locate, and quantify bridge damage. Presently, there exists the need for a multilevel damage classification strategy that is reliable at moderately fast speeds, can quantify physical crack depths, is noise tolerant, can classify damage across the length of a bridge, and does not reference labeled or baseline data. This study presents a novel Bayesian estimation technique that leverages spike and slab prior specifications on an embedded simplified vehicle-bridge model to perform multilevel damage classification without referencing baseline or labeled data. A novel methodology is also proposed that maps crack ratios identified on the simplified model to physical levels of damage. The feasibility of the damage classification and mapping strategy is evaluated through analytical studies for a variety of damage states and operating conditions. Specifically, the classification and mapping of a 0.05 crack ratio is studied across different locations while considering varying levels of noise, vehicle velocities, number of experimental vehicle passes, and model errors. The success of the overall methodology, even in the presence of noise, indicates that the DBHM approach will likely be successful handling physical data. In particular, the feasibility studies demonstrate that the DBHM methodology is capable of leveraging noisy experimental data to reliably detect, locate, and quantify small levels of crack damage across the length of a bridge while the vehicle is traveling at velocities as high as 20.11 m/s.

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Section: Methodsmentioning

confidence: 99%

“…Overall, the subject remeshing scheme functions in a similar manner as the delete-and-fill, moving point, and other adaptive meshing schemes that are employed for simulating crack propagation in higher-fidelity FEMs. [40][41][42]…”

Section: Open Crack Modelmentioning

confidence: 99%

Drive‐by health monitoring of highway bridges using Bayesian estimation technique for damage classification

Mokalled

Locke

Abuodeh

et al. 2022

Structural Contr & Hlth

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“…If mesh defects appear in the geometry, geometry should be remeshed or improved. Remeshing of the geometry can be made for FEM analysis like in, 21 but Rocky DEM software founders suggest to have a size of element 1.5 times higher than the smallest particle diameter. The geometry improvement can be made by merge/ combine of the faces or by removing/avoiding sharp edges.…”

Section: Methodology and Materialsmentioning

confidence: 99%

Volume/shear work ratio influence on wear and stress of soil chisel tine modelled by DEM

Katinas

Choteborsky

2021

Proceedings of the Institution of Mechanical Engineers, Part J:

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Agricultural equipment is working in very high-stress conditions. However, it has a significant influence on the wear losses of soil processing parts. Chisel is operating at 30 cm working depth at a maximum of 12 km·h−1 working speed. Due to unpredictable soil conditions, chisel tines suffer high wear losses. It leads to time consumption and cost expenses during the soil preparation period. Wear resistance, and agronomical requirements (working depth, loosening of soil) are the main criteria of agricultural equipment producers. The discrete element method is a solution that simulates soil as sphere shape particles with soil properties. Wear results reveal the change of parts shape, acting forces, and stresses during the simulation in the virtual soil bin. The used Rocky DEM software uses a parameter C (volume/shear work ratio) to describe wear intensity, which varies for different geometry. Chisel tine geometry should be divided into sections with varied parameter C according to stress acting on the surface. The test conditions can be used for future wear analysis of varied tool geometry and protection (sintered tungsten carbide plates, hard-faced surface, etc.) agricultural tools to compare its durability in different soil conditions.

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“…Combining the finite element method (FEM) and the discrete element method (DEM) has drawn considerable research attention [ 61 , 62 , 63 , 64 ]. Considering that the FEM operates with macroscopic characteristics of the material within equations defined in the framework of continuum mechanics, including failure criteria in the context of the constitutive equations and the DEM is a widely recognized method for modeling the response of granular matter and non-continuum media, combining these two methods appears suitable for simulating the transition from initially undamaged to cracked materials such as geomaterials and concrete.…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation of the Response of Concrete Structural Elements Containing a Self-Healing Agent

Zhelyazov

2022

Materials

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Self-healing of a crack is a relatively novel technique allowing for the partial recovery of the initial mechanical characteristics of a structural element after some period of exploitation. By a widely accepted convention, self-healing is either autogenous or autonomous. The former is a mechanism inherent for cementitious composites (in particular—concrete), while the latter is an engineered process. Both autogenous and engineered healing have recently been the object of numerous studies. Despite the large amount of research work being carried out, the potential of this technique has not yet been fully realized. The article focuses on the modeling and the finite element simulation of the recovery of the initial material properties resulting from the sealing of cracks. The employed numerical procedure uses a constitutive relation for concrete based on the continuum damage mechanics. It captures both the strain-softening and the inverse process—the crack healing. Finite element simulations of benchmark cases illustrate the effect of self-healing. The numerically obtained constitutive relations for specimens with and without a healing agent are compared.

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Combination of an adaptive remeshing technique with a coupled FEM–DEM approach for analysis of crack propagation problems

Cited by 28 publications

References 53 publications

Drive‐by health monitoring of highway bridges using Bayesian estimation technique for damage classification

Drive‐by health monitoring of highway bridges using Bayesian estimation technique for damage classification

Volume/shear work ratio influence on wear and stress of soil chisel tine modelled by DEM

Numerical Simulation of the Response of Concrete Structural Elements Containing a Self-Healing Agent

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