Results 71 to 80 of about 11,945,395 (212)
Trefftz functions in FEM, BEM and meshless methods
Computer Assisted Methods in Engineering and Science, 2022 The paper contains three different multi-domain formulations using Trefftz (T -) displacement approximation/ interpolation, namely the hybrid-displacement FEM, reciprocity based FEM (multi-domain BEM) and the Boundary Meshless Method (BMM) for a single ...
Vladimír Kompiš, Mário Štiavnicky
doaj
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
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
Computer Assisted Methods in Engineering and Science, 2018 This paper is devoted to the development of the Matlab software dedicated to the generation of 2D arbitrarily irregular clouds of nodes and triangular meshes.
Sławomir Milewski
doaj +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
wiley +1 more source
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
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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
Algorithms and technologies for photonic crystal modelling
, 2009 In this thesis an investigation into the behaviour of light when passing through photonic crystals was carried out using numerical methods. Photonic crystals are expensive and difficult to fabricate so there is a requirement for computer simulations that
Hart, Elizabeth E.
core +1 more source
Thermal Properties of Short Fibre Composites Modeled by Meshless Method
Advances in Materials Science and Engineering, 2014 Computational model using continuous source functions along the fibre axis is presented for simulation of temperature/heat flux in composites reinforced by short fibres with large aspect ratio.
Vladimír Kompiš, Zuzana Murčinková
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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