DEM Simulation of Uniaxial Compressive and Flexural Strength of Sea Ice: Parametric Study

Ji, Shunying; Di, Shaocheng; Xue, Long

doi:10.1061/(asce)em.1943-7889.0000996

Cited by 28 publications

(19 citation statements)

References 40 publications

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“…The parameters for the contact model were the particle radius (r), density (ρ), Poisson ratio (ν), friction coefficient (µ), and restitution coefficient (e). Some parameters, namely, Poisson ratio (ν), friction coefficient (µ), and restitution coefficient (e) for the contact model, were less crucial to approximate the strength and stiffness of the continuous material with the inter-particle bonds [23,24]. The parameters of the bond model considered in this study were the bond Young's modulus (E b ), width (2R b ), length (l b ), thickness (h b ), ratio of the normal to shear stiffness (λ ns ), normal strength (σ b ), and shear strength (τ b ).…”

Section: Parameters For Ice Modelingmentioning

confidence: 99%

“…Sea ice is quasi-brittle heterogenous and anisotropic. In the present study, for simplicity, the sea ice was assumed to be homogeneous, anisotropic, and elastic brittle [24,25,32]. The ice beam was represented by the particle assembly with a regular arrangement such as the Hexagonal Close Packing (HCP) [24,25,32].…”

Section: Three-point Bending Tests and Uniaxial Compressive Tests Of Ice Beammentioning

confidence: 99%

“…The ice breaking load in the DEM was highly dependent on the mechanical properties of ice [23][24][25]. The bond Young's modulus, flexural strength, and compressive strength were related to parameters of contact and bond models.…”

Section: Introductionmentioning

confidence: 99%

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Parametric Study on Strength Characteristics of Two-Dimensional Ice Beam Using Discrete Element Method

2021

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Strength characteristics of a two-dimensional ice beam were studied using a discrete element method (DEM). The DEM solver was implemented by the open-source discrete element method libraries. Three-point bending and uniaxial compressive tests of the ice beam were simulated. The ice beam consisted of an assembly of disk-shaped particles with a particular thickness. The connection of the ice particles was modelled using a cuboid element, which represents a bond. If the stress acting on the bond exceeded the bond strength criterion, the bond started to break, explaining the cracking of the ice beam. To find out the effect of the local parameters of the contact and bond models on the ice fracture, we performed numerical simulations for various bond Young‘s modulus of the particles, the bond strength, and the relative particle size ratio.

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Section: Parameters For Ice Modelingmentioning

confidence: 99%

Section: Three-point Bending Tests and Uniaxial Compressive Tests Of Ice Beammentioning

confidence: 99%

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Parametric Study on Strength Characteristics of Two-Dimensional Ice Beam Using Discrete Element Method

2021

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“…The bonded particle model (BPM) is widely used to investigate the mechanical behaviour of solid materials, such as rock [1], concrete [2], ceramic [3], sea ice [4] and so on, because of the intrinsic ability of discrete element modelling in terms of directly reproducing the process of fracture in a continuum body. For continuum-based models, the properties used in the simulation can be derived directly from measurements performed on laboratory specimens.…”

Section: Introductionmentioning

confidence: 99%

Calibration of parallel bond parameters in bonded particle models via physics-informed adaptive moment optimisation

Feng

Wang

et al. 2020

Powder Technology

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This study proposes an automated calibration procedure for bond parameters in bonded discrete element modelling. By exploring the underlying physical correlations between microscopic parameters of bonds and macroscopic strength parameters of the continuum to be modelled, the microscopic shear strength and tensile strength are identified as independent variables for calibration purpose. Then a physics-informed iterative scheme is proposed to automatically approximate the bond parameters by viewing the micro-macro relation as an implicitly defined mathematical mapping function. As a result of highly non-convex features of this implicit mapping, the adaptive moment estimation (Adam), which is especially suitable for problems with noisy gradients, is adopted as the basic iterative scheme, in conjunction with other numerical techniques to approximately evaluate the partial derivatives involved. The whole procedure offers a simple and effective framework for bond parameter calibration. A numerical example of SiC ceramic is provided for validation. By compared with some existing calibration methods, the proposed method shows significant advantages in terms of calibration efficiency and accuracy.

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“…5.1. More generally, though, the presented algorithm can be applied to any discrete dynamic equilibrium problem solved through explicit integrators such as discrete elements methods ( [34][35][36]) and discrete molecular dynamics (DMD) [37,38]. Let us consider the equations of motion in R n for a discrete (or discretized) system M€ u þ f int ðuÞ ¼ f ext (1) defined 8t ʦ [t 0 , t f ] and with initial conditions uðt 0 Þ ¼ u ?…”

Section: Introductionmentioning

confidence: 99%

Proper Orthogonal Decomposition Framework for the Explicit Solution of Discrete Systems With Softening Response

Ceccato

Zhou

Pelessone

et al. 2018

Journal of Applied Mechanics

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The application of explicit dynamics to simulate quasi-static events often becomes impractical in terms of computational cost. Different solutions have been investigated in the literature to decrease the simulation time and a family of interesting, increasingly adopted approaches are the ones based on the proper orthogonal decomposition (POD) as a model reduction technique. In this study, the algorithmic framework for the integration of the equation of motions through POD is proposed for discrete linear and nonlinear systems: a low dimensional approximation of the full order system is generated by the so-called proper orthogonal modes (POMs), computed with snapshots from the full order simulation. Aiming to a predictive tool, the POMs are updated in itinere alternating the integration in the complete system, for the snapshots collection, with the integration in the reduced system. The paper discusses details of the transition between the two systems and issues related to the application of essential and natural boundary conditions (BCs). Results show that, for one-dimensional (1D) cases, just few modes are capable of excellent approximation of the solution, even in the case of stress–strain softening behavior, allowing to conveniently increase the critical time-step of the simulation without significant loss in accuracy. For more general three-dimensional (3D) situations, the paper discusses the application of the developed algorithm to a discrete model called lattice discrete particle model (LDPM) formulated to simulate quasi-brittle materials characterized by a softening response. Efficiency and accuracy of the reduced order LDPM response are discussed with reference to both tensile and compressive loading conditions.

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DEM Simulation of Uniaxial Compressive and Flexural Strength of Sea Ice: Parametric Study

Cited by 28 publications

References 40 publications

Parametric Study on Strength Characteristics of Two-Dimensional Ice Beam Using Discrete Element Method

Parametric Study on Strength Characteristics of Two-Dimensional Ice Beam Using Discrete Element Method

Calibration of parallel bond parameters in bonded particle models via physics-informed adaptive moment optimisation

Proper Orthogonal Decomposition Framework for the Explicit Solution of Discrete Systems With Softening Response

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