Results 81 to 90 of about 32,548,578 (242)
Phase field modelling of crack propagation, branching and coalescence in rocks
We present a phase field model (PFM) for simulating complex crack patterns including crack propagation, branching and coalescence in rock. The phase field model is implemented in COMSOL and is based on the strain decomposition for the elastic energy ...
Rabczuk, Timon +3 more
core +1 more source
The 2D, steady, laminar forced convection of a Carreau hybrid nanofluid (MgO–Ag/water) in a modified T‐shaped cavity with two outlets and a bottom inlet is investigated numerically in current work. The cold nanofluid enters from the inlet at the bottom with Tc$$ {T}_c $$ and velocity uc$$ {u}_c $$, while the vertical L‐shaped walls (W1$$ {W}_1 $$ and ...
Inayat Ullah +5 more
wiley +1 more source
The aim of this chapter is to provide an in-depth presentation and survey of meshfree particle methods. Several particle approximations are reviewed; the SPH method, corrected gradient methods and the moving least squares (MLS) approximation. The discrete equations are derived from a collocation scheme or a Galerkin method. Special attention is paid to
Huerta, Antonio +3 more
openaire +1 more source
The study presented investigates the thermo‐mechanical behavior of a sandwich structure with a tetrachiral‐shaped auxetic core. The geometric configuration, unit cell architecture, and the influence of the material length scale on the effective stiffness under temperature variation are illustrated.
Mustafa Buğday
wiley +1 more source
A particle-based numerical solver is presented, applicable to the simulation of heat transfer in multiphase immiscible flows including surface tension.
M. Afrasiabi, M. Roethlin, K. Wegener
semanticscholar +1 more source
Enhancing SPH using moving least-squares and radial basis functions
In this paper we consider two sources of enhancement for the meshfree Lagrangian particle method smoothed particle hydrodynamics (SPH) by improving the accuracy of the particle approximation.
Brownlee, R. A. +3 more
core +1 more source
Integration of Physics‐Based and Data‐Driven Approaches for Landslide Susceptibility Assessment
ABSTRACT Rainfall‐triggered landslides pose a significant threat to communities and infrastructure around the world. Various data‐driven and machine learning (ML) based algorithms have been applied to assess landslide susceptibility. However, purely data‐driven methods are affected by issues such as uncertainty in the selection of landslide ...
Yi Han, Shabnam J. Semnani
wiley +1 more source
Single‐Asperity Friction and Wear in Seismic Faults: 2. DEM Simulations
Abstract Seismic faults are rough, and their geometrical complexity is an important research topic. In this work, we present a numerical model dedicated to the simulation of friction and wear in an idealized fault asperity, taking inspiration from an experimental device used in a companion paper.
G. Mollon +4 more
wiley +1 more source
ABSTRACT In this article, the physics informed neural networks (PINNs) is employed for the numerical simulation of heat transfer involving a moving source under mixed boundary conditions. To reduce computational effort and increase accuracy, a new training method is proposed that uses a continuous time‐stepping through transfer learning.
Anirudh Kalyan, Sundararajan Natarajan
wiley +1 more source
A parametrized variational principle of nonlinear piezoelectricity
The variational theory is the theoretical basis of the finite element method, meshfree particle methods and other modern numerical techniques. The present paper establishes a family of variational principles for nonlinear piezoelectricity.
Ji-Huan He
doaj

