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Foam has a wide range of applications, where the study of its properties and mechanical response has gained a lot of attention in recent years. To deepen the understanding of foam's behavior, the underlying research proposes a new study to determine the deformation‐dependent permeability of foam using a combination of CT scans and the Lattice‐Boltzmann method (LBM). Specifically, the three‐dimensional...
The purpose of this paper is to investigate the utilization of artificial neural networks (ANNs) in learning models that address the nonlinear anisotropic flow and hysteresis retention behavior of deformable porous materials. Herein, the micro‐geometries of various networks of porous Bentheimer Sandstones subjected to several degrees of strain from the literature are considered. For the generation...
Disordered solids exhibit intermittent avalanches when slowly driven by an external load. These avalanches are associated with plastic rearrangements of the atoms at the nanoscale that manifest as stress and energy drops in the loading curve. The complexity arising from their interactions through long‐range elastic fields and the disorder makes statistical approaches suitable for studying their behavior...
The prediction of the onset of fracture is a challenging issue in the mechanics of disordered materials. In this contribution, we show that the fracture process in network glasses, such as silica glass, turns out to be a complex phenomenon that originates from specific spots that have the size of a few hundred atoms only. We apply pure shear deformation to identify local rearrangement spots prone...
The one‐atom‐thick allotrope of graphite, C4 is called monolayer graphene and was discovered in 2004. It is well known for its fantastic electro‐mechanical properties. While transverse contraction and Poisson's ratio were previously studied only for homogeneous or crystalline two‐dimensional (2D) mono‐ and bilayer network structures under uniaxial tensile stress, we now numerically investigate these...
Biomechanical properties of the spinal tissue constituents, especially in the intervertebral disc (IVD), contribute to disability and high costs. The IVD is considered to be one of the main etiologies of chronic low back pain. Changes in the biomechanical properties of the spine, especially in the IVD, are related to multiple factors such as type and duration of loading, recovery periods, osmosis,...
In this study, we introduce a Generative learning‐based approach to accelerate Finite Element simulations. The aim is to explore the ability of a Generative learning‐based approach to predict the output of Finite Element simulations. Often, the drawback of classical regression models is that they are bound to the distribution of training data and cannot extrapolate outside of the training domain....
During a shear process the vibrational mode structure of a non‐crystalline model material will change under load. Thus, we expect an effect on the characteristic boson peak, which correlates with numerous features of disordered materials. In this paper, we perform shear deformation on two‐dimensional random network materials and investigate the distribution of their vibrational density of states (VDOS)...
The crude Monte Carlo method is computationally expensive. Hence, incorporating model order reduction methods enabling reliability analysis for high‐dimensional problems is necessary. However, this strategy may result in an inaccurate estimation of the probability of failure for rare events for two reasons. First, the model order reduction, represented by the proper orthogonal decomposition (POD)...
A large number of biochemical processes such as enzymatic collagen degradation are involved in the remodeling of biological soft tissue constituents. Experiments have found that moderate strain may stabilize fibrillar collagen to enzymatic degradation. This strain stabilization is crucial for the homeostatic balance during the tissue remodeling process in healthy soft tissue. This article studies...
The focus of the underlying research work is on the macroscopic modeling of unstable multiphase fluid flow in deformable porous media, where a lower‐viscous fluid is displaced by a more viscous fluid. This process leads to the formation of channel‐like networks, called viscous fingering. The instability effect is involved in a wide range of different fields in engineering. Some of the most common...
In this paper, we link the unique mechanical properties to structural aspects using a splitting method in order to disentangle nonlinear interactions of Stone–Wales defects as fundamental perturbations in a crystalline environment. We investigate the spatial features of the displacement field achieved by this splitting method and couple it to macroscopic material properties. The nonlinear interaction...
In the present work, an FE formulation using the zig‐zag hypothesis is developed for cantilever sandwich plates with viscoelastic care layer. Both viscoelastic and elastic layers of sandwich structures are considered based on the first‐order shear deformation theory to achieve higher accuracy. The FE simulation is validated by a frequency and loss factor analysis of sandwich plate. Furthermore, the...
This article presents a bioreactor study that investigates the influence of mechanical stimulation on cell migration in a cartilage replacement material. The bioreactor has been designed to carry out dynamic stimulation of cell‐seeded scaffolds, and it consists of a loading mechanism, a force‐measuring device, and a biocompatible chamber. The stimulation of the samples was carried out inside a bioreactor...
The presented work aims to adapt a Geiger‐based method and localize pendulum impacts applied on a rigid steel plate using the data set of a 112 microphone array. The advantage compared to measurements with piezoelectric sensors, where normally a number of sensors are involved, is the superior number of microphones. To solve the Geiger algorithm on the three‐dimensional domain, at least data from three...
The following proceeding presents a multiscale approach to investigate the hydraulic anisotropy and retention behavior in porous materials involving deformation effects. Concerning the former, single‐phasic fluid flow simulations using the lattice Boltzmann method (LBM) are initially accomplished at the pore‐level geometry of Bentheimer sandstones provided by X‐ray microscopy at several degrees of...
The recent success in manufacturing large‐size, also called bulk metallic glasses (BMGs) using 3D‐printing based on laser powder bed fusion (LPBF) opens an avenue for the broad application of this material class. To explore the great potential of both as‐cast and 3D‐printed BMGs, a comprehensive understanding and an accurate prediction of the plastic deformation and damage behaviour of this material...
Low back pain is a major cause of chronic health problems and is often related to loading history. A test rig was developed at the Institute of General Mechanics, RWTH Aachen University to investigate the influence of duration and intensity of spinal loading using in vitro experiments on spinal cadavers. In this work, several extensions of this spine test rig are presented: (1) a hydraulic cylinder...
This article studies the inflation and bulging of fiber‐reinforced hyperelastic membranes. A neo‐Hookean model describes the mechanical behavior of the ground substance, and a relatively standard reinforcing model describes the mechanical behavior of fibers. The natural configuration of the constituents may differ, for example, because the fiber may be pre‐stretched in comparison to the natural configuration...
In this study, we introduce a Graph network‐enhanced Finite Element approach to accelerate Finite Element simulations. We utilize the discretized geometry from a Finite Element pre‐processor to establish the graph and use the Graph Neural Network to solve the boundary value problem of the discretized domain. The advantage of graph neural networks is that they have a similar structure as compared to...
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