Jonas Ritter’s research while affiliated with Friedrich-Alexander-University Erlangen-Nürnberg and other places

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Publications (6)


Schematic of a single edge dislocation with slip plane normal vector n. The origin of the coordinates is centred in the considered domain and the grey area indicates the domain where the plastic distortion is provided by the gradient theory solution; to match peridynamics and Helmholtz type gradient elasticity, the horizon δp\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\delta _{\text {p}}$$\end{document} must be taken proportional to the length scale parameter lH\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$l_{\text {H}}$$\end{document} of the gradient theory
Plastic distortion fields of distributed dislocations in peridynamics, Burgers vector points in x-direction and the glide plane trace corresponds to the x-axis, left graph: constant Burgers vector distribution given by Eq. (33); right graph: Burgers vector distribution given by Eq. (34)
Stress field components of a singular dislocation in peridynamics, the Burgers vector points in x-direction and the glide plane trace corresponds to the x-axis; left: σxy(x,y=0)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\sigma _{xy}(x,y=0)$$\end{document}, right: σxx(x=0,y)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\sigma _{xx}(x=0,y)$$\end{document}; the top graphs show the original results for different values of the horizon where δp=\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\delta _{\text {p}} =$$\end{document} 3nm, 6nm, 9nm and 12nm (marked H3, 6, 9, 12 in the graph labels); the bottom graphs show the same data after rescaling σ→δpσ,r→r/δp\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\varvec{\sigma } \rightarrow \delta _{\text {p}} \varvec{\sigma }, \varvec{r} \rightarrow \varvec{r}/\delta _{\text {p}}$$\end{document}; in these graphs the locations of the collocation points at which virial stresses are evaluated are marked by open circles
Angle dependence of the dislocation stress field components, δp=\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\delta _{\text {p}} =$$\end{document} 12nm, other parameters as in Fig. 3; top: 3D representation, bottom: contour plot
Effect of micro-modulus distribution on stress of a singular dislocation; all parameters as in Fig. 3; left: σxx(x=0,y)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\sigma _{xx}(x=0, y)$$\end{document} for δp=\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\delta _{\text {p}} =$$\end{document} 12nm, simulated using a constant micro-modulus and a ’conical’ micro-modulus distribution; right: scaling collapse obtained by plotting lσxx\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$l\sigma _{xx}$$\end{document} vs. y/l where l=δp3/5\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$l = \delta _{\text {p}} \sqrt{3/5}$$\end{document} for data evaluated with constant and l=δp2/5\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$l= \delta _{\text {p}} \sqrt{2/5}$$\end{document} for data evaluated with ’conical’ micro-modulus

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Multiscale modeling of dislocations: combining peridynamics with gradient elasticity
  • Article
  • Full-text available

February 2024

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103 Reads

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2 Citations

Journal of Materials Science: Materials Theory

Jonas Ritter

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Modeling dislocations is an inherently multiscale problem as one needs to simultaneously describe the high stress fields near the dislocation cores, which depend on atomistic length scales, and a surface boundary value problem which depends on boundary conditions on the sample scale. We present a novel approach which is based on a peridynamic dislocation model to deal with the surface boundary value problem. In this model, the singularity of the stress field at the dislocation core is regularized owing to the non-local nature of peridynamics. The effective core radius is defined by the peridynamic horizon which, for reasons of computational cost, must be chosen much larger than the lattice constant. This implies that dislocation stresses in the near-core region are seriously underestimated. By exploiting relationships between peridynamics and Mindlin-type gradient elasticity, we then show that gradient elasticity can be used to construct short-range corrections to the peridynamic stress field that yield a correct description of dislocation stresses from the atomic to the sample scale.

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Figure 2 Plastic distortion fields of distributed dislocations in peridynamics, Burgers vector points in x-direction and the glide plane trace corresponds to the x-axis, left graph: constant Burgers vector distribution given by Eq. (35); right graph: Burgers vector distribution given by Eq. (36).
Multiscale modeling of dislocations: Combining peridynamics with gradient elasticity

June 2023

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115 Reads

Modeling dislocations is an inherently multiscale problem as one needs to simultaneously describe the high stress fields near the dislocation cores, which depend on atomistic length scales, and a surface boundary value problem which depends on boundary conditions on the sample scale. We present a novel approach which is based on a peridynamic dislocation model to deal with the surface boundary value problem. In this model, the singularity of the stress field at the dislocation core is regularized owing to the non-local nature of peridynamics. The effective core radius is defined by the peridynamic horizon which, for reasons of computational cost, must be chosen much larger than the lattice constant. This implies that dislocation stresses in the near-core region are seriously underestimated. By exploiting relationships between peridynamics and Mindlin-type gradient elasticity, we then show that gradient elasticity can be used to construct short-range corrections to the peridynamic stress field that yield a correct description of dislocation stresses from the atomic to the sample scale.


Effects of disorder on deformation and failure of brittle porous materials

May 2023

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172 Reads

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7 Citations

Journal of Statistical Mechanics Theory and Experiment

The mechanical behavior of porous materials depends strongly on porosity and pore geometry, but also on morphological parameters characterizing the spatial arrangement of pores. Here we use bond-based peridynamics to study effects of disorder on the deformation and failure behavior of brittle porous solids both in the quasi-static limit and in case of dynamic loading scenarios. We show that structural disorder, which has a strong influence on stiffness, strength and toughness in the quasi-static limit, becomes less relevant under dynamic loading conditions.


Figure 1. Structures of different disorder with corresponding failure patterns, porosity φ = 0.3 for all patterns, for all simulations L = 200 mm, n = 8, h = 0.25, δ = 0.75 mm, material parameters E = 1000 MPa, ν = 1/3 (plane stress); (a) η = 0.06, (b) η = 0.12, (c) η = 0.24, (d) η = 0.48; the colorscale indicates the damage parameter ϕ defined as fraction of broken bonds in the horizon of a collocation point.
Figure 4. Dynamic loading of a sample with L = 200 mm (porosity 45 %, η = 0.06) at a velocity of v 0 = 1 m s −1 with acceleration time t a = 0.4 ms; top: stress vs time at the opposite sides of the sample (displaced layer and support layer); center: time evolution of expended work and kinetic energy; bottom: time evolution of the fraction of broken bonds.
Figure 6. Fracture and fragmentation pattern for a regular (η = 0, left column) and disordered (η = 0.48, right column) structure with a porosity of 45 % compressed by a rate of ˙ = 25 s −1 . The top row shows the fracture pattern at the time t = 0.2 ms and the bottom row the fragmented structure at t = 2 ms; the colorscale indicates the damage parameter ϕ defined as fraction of broken bonds in the horizon of a collocation point.
Effects of disorder on deformation and failure of brittle porous materials

January 2023

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36 Reads

The mechanical behavior of porous materials depends strongly on porosity and pore geometry, but also on morphological parameters characterizing the spatial arrangement of pores. Here we use bond-based peridynamics to study effects of disorder on the deformation and failure behavior of brittle porous solids both in the quasi-static limit and in case of dynamic loading scenarios. We show that structural disorder, which has a strong influence on stiffness, strength and toughness in the quasi-static limit, becomes less relevant under dynamic loading conditions.


An energetically consistent surface correction method for bond-based peridynamics

October 2022

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30 Reads

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11 Citations

Forces in Mechanics

A novel surface correction method is proposed for bond based peridynamics which ensures energy consistency with a classical reference body for general affine deformations. This method is validated for simple geometries and then applied to a typical surface-dominated problem, namely the indentation of a surface in the shallow to moderate-depth regime.


Figure 1: Evaluation of the correction factor for bonds of direction e ξ connecting to a point x near the surface of the body B. The truncated horizon of x is ¯ H x and the full horizon is H x .
Figure 2: Relative errors of the displacement fields for uni-axial deformation of a free standing sheet of size 50 mm × 100 mm with constant boundary loads imposed in y (vertical) direction on the surfaces y = ±50; errors are evaluated relative to the analytical solution; (a) ∆u y /u y , bond based peridynamics without surface correction, (b) ∆u y /u y , bond based peridynamics with surface correction, (c) ∆u x /u x , bond based peridynamics without surface correction, (d) ∆u x /u x , bond based peridynamics with surface correction; the black bars represent nodes where for symmetry reasons both the PD result and the analytical displacement are zero such that a relative error is mathematically undefined.
Figure 3: Spatial patterns of strain energy density for the simulation methods in Table 1, (a) FEM reference, (b) corrected PD, (c) PD with virtual nodes on constrained surfaces and uncorrected side surfaces, (d) uncorrected PD.
Figure 4: Simulated indentation curves, FEM reference and corrected PD; inset: initial stage of indentation showing also the curve for uncorrected PD, the green cross indicates the point when the uncorrected PD scheme fails to converge due to loss of uniqueness of the solution.
Figure 5: Spatial patterns of displacement and strain energy density for simulated indentation; left graphs: FEM reference, right graphs: surface corrected PD; top row: displacement in y direction (direction of motion of the indenter), center row: displacement in x direction, bottom row: strain energy.
An energetically consistent surface correction method for bond-based peridynamics

September 2022

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100 Reads

A novel surface correction method is proposed for bond based peridynamics which ensures energy consistency with a classical reference body for general affine deformations. This method is validated for simple geometries and then applied to a typical surface-dominated problem, namely the indentation of a surface in the shallow to moderate-depth regime.

Citations (2)


... This behavior matches observations made in simulations on porous samples by Ritter et al. (2023) where the pore microstructure was fully resolved. Increasing the degree of disorder, measured in terms of the scat-ter of pore sizes and arrangement of pores, for fixed overall porosity led to a reduction in both modulus and failure strength. ...

Reference:

Peridynamics based model of anticrack-type fracture in brittle foams
Effects of disorder on deformation and failure of brittle porous materials

Journal of Statistical Mechanics Theory and Experiment

... Since the micromodulus expression (12) is derived for bonds in the bulk of the domain, i.e. at a distance of at least from the boundary, a correction must be introduced for points close to the boundaries, due to an incomplete horizon, for an accurate computation of the energy in those regions. For reasons exposed in [31], the bond specific energy matching method [60] is used, which changes the stiffness of the bonds based exclusively on the geometric parameters. For simple geometries the correction factors are easy to compute, and only at the beginning of a simulation. ...

An energetically consistent surface correction method for bond-based peridynamics
  • Citing Article
  • October 2022

Forces in Mechanics