ABSTRACT Interparticle cohesive forces play a crucial role in governing the shear behavior of many soils; however, quantifying this effect remains challenging due to limited microscopic insights available from laboratory experiments. In this context, the current study aims to investigate the influence of microscale cohesion on the shear response using ...
Thao Doan +3 more
wiley +1 more source
Twisted Wire Strands Under Coupled Bending and Torsion
ABSTRACT Slender composite structures occur in automotive applications in different variations and on different size scales. They range from single conductors, which are composite structures themselves, to wiring harnesses, where another level of complexity is added by bundling several cables.
Muhannad Hawwash +5 more
wiley +1 more source
Prediction of local elasto-plastic stress and strain fields in a two-phase composite microstructure using a deep convolutional neural network [PDF]
Indrashish Saha +2 more
openalex +1 more source
A Compact Algorithm for Applying Periodic Boundary Conditions in 3D RVE Modeling with Abaqus
ABSTRACT Periodic boundary conditions (PBCs) are essential in multiscale modeling for computing the effective properties of heterogeneous materials via representative volume elements (RVEs). While several automated solutions have been developed for implementing PBCs in finite element software, many rely on structured node classification and predefined ...
Reza Sadeghpour, Martin Kraska
wiley +1 more source
Elasto-Plastic Analysis of the Cantilever with the Built-in Edge : Comparison for Frictional Conditions [PDF]
Masakatsu SUGIMOTO +2 more
openalex +1 more source
Analysis of elasto-plastic deformations of thick cylindrical tubes subject to pressures
This work consist in determining and analyzing analytically the stress and elasto-plastic strain state including the limit state using the theory of Huber-Mises-Henkey and formulating mathematically and solving the problem of determination of shearing ...
Rouabhi A.
doaj +1 more source
On Challenges Using Long Short‐Term Memory Networks in Data‐Driven Inelasticity
ABSTRACT We present a framework that integrates long short‐term memory (LSTM) networks into a two‐dimensional data‐driven mechanics solver. We show that the staggered, double‐minimization algorithm induces solver‐generated noise, and that an LSTM trained on noise‐free stress–strain paths fails to account for these solver artifacts.
Marius Harnisch +3 more
wiley +1 more source
A generation of second harmonic of shear wave in elasto-plastic media [PDF]
А. М. Доронин +1 more
openalex +1 more source
ABSTRACT Nanoporous gold, with its hierarchical structure comprising interconnected networks on multiple length scales, poses significant computational challenges for traditional modeling methods. To solve this challenge, this study introduces a physics‐informed recurrent neural network (RNN) to model the homogenized material response of a diamond beam‐
Lena Dyckhoff, Norbert Huber
wiley +1 more source
On the importance of accurate elasto-plastic material properties in simulating plate osteosynthesis failure. [PDF]
Mischler D +3 more
europepmc +1 more source

