Results 71 to 80 of about 2,876 (225)

Large Deformation, Pressure‐Driven Mechanistic Modeling of the 2018 Caldera Collapse at Kīlauea Volcano, HI

open access: yesJournal of Geophysical Research: Solid Earth, Volume 131, Issue 4, April 2026.
Abstract Volcanic calderas are large depressions formed by the rapid collapse of overlying rock into a magma chamber during eruptions. We utilize Smoothed Particle Hydrodynamics (SPH), a continuum, meshfree numerical method, to study the 2018 caldera collapse at Kīlauea volcano in Hawaii.
Enrique M. del Castillo, Paul Segall
wiley   +1 more source

Simulations using meshfree methods

open access: yesCoRR, 2015
preprint (draft) + 3 figures, 1 table, 2 appendices, 2 images, 1 MATLAB ...
openaire   +2 more sources

Conservation and accuracy in meshfree generalized finite difference methods [PDF]

open access: yes, 2018
The goal of this PhD is to improve various aspects of meshfree Generalized Finite Difference Methods (GFDMs). In this thesis, different meshfree GFDMs are compared, and their potential to solve over-determined problems is presented.
Suchde, Pratik
core   +1 more source

Local continuum consistent peridynamics with bond‐associated modeling and dynamic fracture

open access: yesGAMM-Mitteilungen, Volume 49, Issue 1-2, March/June 2026.
Abstract This paper explores the theoretical foundations and practical challenges of peridynamics as a nonlocal continuum mechanics method. We establish connections between classical continuum mechanics principles and peridynamics formulations, with a particular focus on understanding how the pairwise force function in peridynamics relates to stress ...
Kai Partmann   +3 more
wiley   +1 more source

Meshfree Variational-Physics-Informed Neural Networks (MF-VPINN): An Adaptive Training Strategy

open access: yesAlgorithms
In this paper, we introduce a Meshfree Variational-Physics-Informed Neural Network. It is a Variational-Physics-Informed Neural Network that does not require the generation of the triangulation of the entire domain and that can be trained with an ...
Stefano Berrone, Moreno Pintore
doaj   +1 more source

Algebraic-volume meshfree method for application in finite volume solver [PDF]

open access: yes, 2019
Nowadays the finite volume (FV) method remains the most popular choice for Computational Fluid Dynamics (CFD). But few meshfree methods have been developed based on the framework of existing FV codes which can boost the development of the meshfree method.
Jiang, Yuewen, Jiang, Y
core   +2 more sources

Numerical Analysis of a Benjamin–Bona–Mahony Type Equation in a Noncylindrical Domain

open access: yesMathematical Methods in the Applied Sciences, Volume 49, Issue 2, Page 818-834, 30 January 2026.
ABSTRACT Numerical analysis and simulation for the approximate solution of a Benjamin–Bona–Mahony type equation defined in a noncylindrical domain are presented in this article. The approximate problem is defined using the linearized Crank–Nicolson Galerkin method, which results in a linear algebraic system at each time step while maintaining quadratic
Vania Cristina Machado   +2 more
wiley   +1 more source

A mesh-free simulation of mode I delamination of composite structures

open access: yesScience and Engineering of Composite Materials, 2014
A numerical and experimental investigation for the analysis of delamination problem under mode I loading in composite material is presented. Firstly, the simulation of the delamination under mode I loading and failure of composite materials based on the ...
Hesar Goudarz Ghanizadeh   +3 more
doaj   +1 more source

Aging of Tetrafluoroethylene Propylene (FEPM) Material in High‐Pressure HighTemperature Hydrogen Sulfide Downhole Environment: Theory, Modeling, Experiments, and Material Lifetime Prediction

open access: yesMacromolecular Theory and Simulations, Volume 35, Issue 1, January 2026.
A novel approach that integrates AI‐based methodology, laboratory experimentation, and field application experience to accurately predict the lifespan of elastomeric materials in harsh downhole environments. ABSTRACT This paper presents a physics‐driven neural network (PINN) model to capture the constitutive behavior, elongation at break (EAB), modulus,
Aref Ghaderi   +6 more
wiley   +1 more source

Comparison of meshfree displacement and stress error recovery of finite element solutions using moving least squares interpolation

open access: yesAdvances in Mechanical Engineering, 2022
The moving least square (MLS) interpolation based the recovery procedures have been successfully applied to recover the finite element solution errors in the analysis of elastic plates and pipes problems and can be advantageously applied for large ...
Mohd. Ahmed   +3 more
doaj   +1 more source

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