Results 41 to 50 of about 1,334 (186)
Heat Transfer, Volume 55, Issue 3, Page 1674-1682, May 2026.ABSTRACT Traditional numerical methods, such as finite difference methods (FDM), finite element methods (FEM), and spectral methods, often face meshing challenges and high computational cost for solving nonlinear coupled differential equations. Machine learning techniques, specifically Physics‐informed machine learning, address these obstacles by ...
Ahmad, Feroz Soomro, Husna Zafar
wiley +1 more source
A graphics processing unit-accelerated meshless method for two-dimensional compressible flows
Engineering Applications of Computational Fluid Mechanics, 2017 A graphics processing unit (GPU) -accelerated meshless method is presented for solving two-dimensional compressible flows over aerodynamic bodies. The Compute Unified Device Architecture (CUDA) Fortran programming model is employed to port the meshless ...
Jiale Zhang, Hongquan Chen, Cheng Cao
doaj +1 more source
Multi‐Material Additive Manufacturing of Soft Robotic Systems: A Comprehensive Review
Advanced Robotics Research, Volume 2, Issue 2, April 2026.This review explores the transformative role of multi‐material additive manufacturing (MMAM) in the development of soft robotic systems. It presents current techniques, materials, and design strategies that enable functionally graded and adaptive structures.
Ritik Raj +2 more
wiley +1 more source
SPH Simulates Steep‐Stepped Spillway Flows Assessing Convergence, DDT Effects, and Pressure Accuracy
Chemical Engineering &Technology, Volume 49, Issue 4, April 2026.Numerical investigation of high‐gradient stepped spillway flows using the SPH method, highlighting the simulation setup and skimming flow regime. Convergence analysis compares results with and without the Density Diffusion Term (DDT), showing its effectiveness in reducing spurious oscillations.
Eduardo Masaji Endo +3 more
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International Journal for Numerical and Analytical Methods in Geomechanics, Volume 50, Issue 5, Page 2648-2669, 10 April 2026.ABSTRACT This study presents large deformation computational methods to simulate lateral vehicular impacts on steel piles in granular soil. Soil‐mounted longitudinal barrier systems rely on energy dissipation in both the piles and the surrounding soil to safely redirect errant vehicles, so dynamic pile‐soil interaction is important for design ...
Tewodros Y. Yosef +6 more
wiley +1 more source
Jixie chuandong, 2005 The bending fatigue reliability of gear teeth has been analyzed by perturbation stochastic meshless point interpolation method（PSMPIM）.In the meshless point interpolation method the problem domain is represented by properly scattered points.A technique ...
游世辉 +3 more
doaj
Object Oriented Approach to Consistent Implementation of Meshless and Classical FEM [PDF]
Journal of Systemics, Cybernetics and Informatics, 2006 Numerical experiments show that the full potential of the Finite Element Method (FEM) can be exploited by combination of classical with meshless FEM. A class structure for flexible consistent implementation of both methods is presented. Fully automatized
Albert Seidl, Thomas Schmidt
doaj
Space Correlation Constrained Physics Informed Neural Network for Seismic Tomography
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.Abstract Physics‐informed neural networks (PINNs) integrate physical constraints with neural architectures and leverage their nonlinear fitting capabilities to solve complex inverse problems. Tomography serves as a classic example, aiming to reconstruct subsurface velocity models to improve seismic exploration.
Yonghao Wang +3 more
wiley +1 more source
Meshless simulation of dam break using MLPG-RBF and shallow water equations
MATEC Web of Conferences, 2017 This article focuses on the application of the meshless local Petrov-Galerkin (MLPG) method to solve the shallow water equations (SWE). This localized approach is based on the meshless weak formulation with the use of radial-basis functions (RBF) as the ...
Mužík Juraj, Holičková Martina
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Application of Discontinuity Layout Optimization to Metal Shells and Assemblies
International Journal for Numerical Methods in Engineering, Volume 127, Issue 5, 15 March 2026.ABSTRACT Discontinuity Layout Optimization (DLO) provides a computationally efficient means of determining collapse loads and associated failure mechanisms across a wide spectrum of plasticity problems. The classical DLO method has focused separately on in‐plane and out‐of‐plane plasticity.
John Valentino +2 more
wiley +1 more source