This study examines the potential of two variants of the material point method—the generalized interpolation material point (GIMP) and dual domain material point (DDMP) methods—in developing a robust computational framework for engineering lattice …
Computer models for simulating cardiac electrophysiology are valuable tools for research and clinical applications. Traditional reaction–diffusion (RD) models used for these purposes are computationally expensive. While eikonal models offer a …
In this study, a dynamic load-balancing (DLB) technique based on the sampling method is developed for MPMs using higher-order B-spline basis functions for parallel MPI calculations based on domain decomposition, in order to perform large-scale …
Fluid-structure interaction (FSI) modeling, a technique widely used to enhance imaging modalities for adult and pediatric heart diseases, has been underutilized in the context of fetal circulation because of limited data on flow conditions and …
A waveguide port boundary condition (WPBC) based on the restriction of the approximation space is presented in the context of Finite Element Analysis. As well as efficiently truncating the computational domain in the same manner as the traditional …
Mechanical analysis of the complex configurations of composite laminates can be computationally prohibitive based on accurate higher-order theories, especially when the analyses involve multiple realizations corresponding to different sets of …
In this paper we present a formulation, denoted as the Molecular Element Method, that allows, given a certain force field, the possibility of performing a first order analysis as is common in structural mechanics. The stiffness matrices have been …
The present study aims to extend the novel physics-informed machine learning approach, specifically the neural-integrated meshfree (NIM) method, to model finite-strain problems characterized by nonlinear elasticity and large deformations. To this …
Compared to triangular meshes, quadrilateral meshes offer numerous advantages, such as enhanced fitting accuracy, the capacity to maintain geometric features, and alignment with specific problem orientations. However, there is currently no …
One of the most significant domains in neurodynamics revolves around models founded on neural field equations (NFEs), commonly referred to as Amari’s equations. These equations intricately depict neural activity within individual neural fields and …
We develop a new neural network based material model for discrete fibrous materials that strictly enforces constitutive constraints such as polyconvexity, frame-indifference, and the symmetry of the stress and material stiffness. Additionally, we …
Fish fin rays constitute a sophisticated control system for ray-finned fish, facilitating versatile locomotion within complex fluid environments. Despite extensive research on the kinematics and hydrodynamics of fish locomotion, the intricate …
This study investigates the steady two-dimensional (2D) distribution of suspended sediment concentration in an open channel turbulent flow, utilizing five eddy viscosity profiles incorporating the stratification effect. In addition to three …
This study focuses on two primary objectives regarding 3D-printed tubular metastructures. Firstly, it investigates the nonlinear mechanical bending and post-buckling characteristics of re-entrant perfect and imperfect auxetic tubes analytically.
This study explores the use of the kinetic theory of fracture (KTF) within a peridynamic (PD) model to simulate fatigue crack growth across various component geometries, presenting a novel approach distinct from traditional methods. Instead of …
This paper presents a monolithic finite element-based overset approach to simulate turbulent flows around moving structures using overlapping unstructured meshes. The conventional Schwarz alternating method, which iterates between overlapping …
This study introduces an approach for performing bond-based (BB) peridynamic (PD) fatigue analysis of ductile materials. Existing BB PD fatigue models do not account for the effect of plastic deformation. The current approach addresses this by …
This work presents a comparative study on the application of isogeometric analysis in boundary variation methods based topology optimization problems. Level set and phase field are two boundary variation methods gaining in popularity in topology …
We use the Multi Level Monte Carlo method to estimate uncertainties in a Henry-like salt water intrusion problem with a fracture. The flow is induced by the variation of the density of the fluid phase, which depends on the mass fraction of salt.
Block-structured meshes are favoured in various computational simulations due to their superior computational efficiency and accuracy. While cross-field methods have demonstrated promising capabilities in generating high-quality quadrilateral …
