Results 61 to 70 of about 573 (198)
This paper introduces a coupled physics‐informed neural network (C–PINN) framework for simulating electron–lattice thermal conduction. The framework uses an additive Δ‐decomposition to couple the electron temperature Te and lattice temperature Tl, with a learnable correction term Δ(t, x) capturing spatial–temporal deviations from thermal equilibrium ...
Zhihong Che +5 more
wiley +1 more source
Description of the Meshless Local Petrov-Galerkin approach [PDF]
In this paper we describe the Meshless Local Petrov-Galerkin (MLPG) method and its numerical implementation for the solution of elliptic ...
MAZZIA, ANNAMARIA
core
Numerical simulation of metal removal in laser drilling using meshless local Petrov–Galerkin collocation method [PDF]
A simplified 2D axisymmetric meshfree model of transient metal laser drilling is proposed for a continuous laser beam of Gaussian distribution. The penetration depth is predicted over the whole ablation time.
Yusoff, Nukman +11 more
core +1 more source
The design and analysis of nanoelectromechanical systems (NEMSs) provide significant challenges due to the dominance of surface forces, quantum‐scale effects, and complex material properties, where classical electrostatics and continuum mechanics become inadequate.
N. M. Mary Sindhuja +4 more
wiley +1 more source
A numerical analysis based on the meshless local Petrov- Galerkin (MLPG) method is proposed for a functionally graded material FGM (FGMfunctionally graded material) beam.
Sátor Ladislav +2 more
doaj +1 more source
Physics‐informed neural operator solver and super‐resolution for solid mechanics
Abstract Physics‐Informed Neural Networks (PINNs) have solved numerous mechanics problems by training to minimize the loss functions of governing partial differential equations (PDEs). Despite successful development of PINNs in various systems, computational efficiency and fidelity prediction have remained profound challenges.
Chawit Kaewnuratchadasorn +2 more
wiley +1 more source
The Meshless Local Petrov-Galerkin (MLPG) Method for Solving Incompressible Navier-Stokes Equations [PDF]
The truly Meshless Local Petrov-Galerkin (MLPG) method is extended to solve the incompressible Navier-Stokes equations. The local weak form is modified in a very careful way so as to ovecome the so-called Babus~ka-Brezzi conditions.
H. Lin, S.N. Atluri
core +2 more sources
Abstract The element‐free Galerkin (EFG) meshfree method is employed in this research to compute strain fields based on discrete displacement data obtained from digital image correlation (DIC). To validate the method's accuracy, both simulated images with highly heterogeneous deformations and real tests conducted on notched specimens with known ...
Giancarlo L. Gómez Gonzales +3 more
wiley +1 more source
Véges rugalmas-képlékeny alakváltozás elméleti és numerikus vizsgálata = Theoretical and numerical investigation of finite elasto-plastic deformation [PDF]
Az OTKA kutatási téma keretében az alábbi kutatási eredmények születtek: -A mikropoláris testek rugalmas-képlékeny alakváltozásának számítására végelemes eljárás dolgoztunk ki háromdimenziós testek és és kis alakváltozások esetén.
Szabó, László +2 more
core
Elastic Moduli of Woven Fabric Composite by Meshless Local Petrov-Galerkin (MLPG) Method [PDF]
A meshless local Petrov-Galerkin method, for the micro-mechanical material model of woven fabric composite material is presented in this paper. The material models are based on a repeated unit cell approach and two smooth fibre modes.
P.H. Wen, M.H. Aliabadi
core +1 more source

