Fracture mechanics-based progressive damage modelling of adhesively bonded fibre-reinforced polymer joints

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Translaminar fracture toughness is pivotal for notch sensitivity and damage tolerance of fibre-reinforced composites. Hybridisation offers a promising pathway for enhancing this parameter in thin-ply composites. Three novel mini-compact tension specimen ge ...

Rock is a discontinuous, heterogeneous material with complex mechanical behaviour. The variable material properties create uncertainty in response to load, associated rock mass damage and communition. Traditional approaches in rock mechanics rely on labora ...

This work examines the fatigue crack-arresting capability of thin PEI and PVDF thermoplastic interlayers in short-glass fiber-modified epoxy and core-shell rubber-modified epoxy materials. Singleedge notch bending epoxy specimens with and without interlaye ...

Literature on linear induction motors (LIMs) has proposed several approaches to model the behavior of such devices for different applications. In terms of accuracy and fidelity, field analysis-based models are the most relevant. Closed-form or numerical so ...

Estimating the stress of reinforcing bars and its variations in service conditions can be useful to determine the reserve capacity of structures or to assess the risk of fatigue in the reinforcement. This paper investigates the use crack width measurements ...

Time-domain solutions of Maxwell’s equations in homogeneous and isotropic media are paramount to studying transient or broadband phenomena. However, analytical solutions are generally unavailable for practical applications, while numerical solutions are co ...

This paper presents the new 2D electrostatic particle -in -cell code FENNECS developed to study the formation of magnetized non -neutral plasmas in geometries with azimuthal symmetry. This code has been developed in the domain of gyrotron electron gun desi ...

Fiber-polymer composites consist of a polymer matrix and reinforcing fibers made of various materials. These composites exhibit exceptional properties, such as a high strength-to-weight ratio and excellent corrosion resistance, which has led to their incre ...

We present a finite elements-neural network approach for the numerical approximation of parametric partial differential equations. The algorithm generates training data from finite element simulations, and uses a data -driven (supervised) feedforward neura ...

Purpose: This study aims to evaluate two distinct approaches for fiber radius estimation using diffusion-relaxation MRI data acquired in biomimetic microfiber phantoms that mimic hollow axons. The methods considered are the spherical mean power-law approac ...

Decision-making permeates every aspect of human and societal development, from individuals' daily choices to the complex decisions made by communities and institutions. Central to effective decision-making is the discipline of optimization, which seeks th ...

Predicting the evolution of systems with spatio-temporal dynamics in response to external stimuli is essential for scientific progress. Traditional equations-based approaches leverage first principles through the numerical approximation of differential equ ...

When two objects slide against each other, wear and friction occur at their interface. The accumulation of wear forms what is commonly referred to as a ``third-body''. Understanding third-body evolution has significant applications in industry, where contr ...

Reinforced concrete flat slabs consist of a continuous, thin concrete plate that rests on a grid of columns. The supporting surface of the columns is very small compared to the floor plan dimensions, leading to concentrations of shear forces near the colum ...

Frontal polymerisation has the potential to bring unprecedented reductions in energy demand and process time to produce fibre reinforced polymer composites. Production of epoxy-based fibre reinforced polymer parts with high fibre volume content, commonly e ...

This study aims to identify an optimal, as well as practical, parametric structure for a delta-wing UAV aerodynamic model for the purpose of model-based navigation. We present a comprehensive procedure for characterizing the aerodynamics of this platform, ...

We present an orbital-resolved extension of the Hubbard U correction to density-functional theory (DFT). Compared to the conventional shell-averaged approach, the prediction of energetic, electronic and structural properties is strongly improved, particula ...

This work is concerned with the computation of the action of a matrix function f(A), such as the matrix exponential or the matrix square root, on a vector b. For a general matrix A, this can be done by computing the compression of A onto a suitable Krylov ...

A reversible photo-electrochemical device operating under concentrated irradiation could offer a stand-alone solution for producing solar fuel (in photo-driven electrolysis mode) and power (in fuel cell mode). This strategy would present the advantage of h ...

Data-driven approaches have been applied to reduce the cost of accurate computational studies on materials, by using only a small number of expensive reference electronic structure calculations for a representative subset of the materials space, and using ...

Fracture mechanics-based progressive damage modelling of adhesively bonded fibre-reinforced polymer joints

Chattez avec Graph Search

Translaminar fracture in (non–)hybrid thin-ply fibre-reinforced composites: An in-depth examination through a novel mini-compact tension specimen compatible with microscale 4D computed tomography

Coupled micro-computed tomography and micromechanical experiment on the failure of discontinuous porphyry rock

Influence of Thermoplastic Interlayers on Fatigue Crack Growth in Epoxy Materials

Pseudo-Three-Dimensional Analytical Model of Linear Induction Motors for High-Speed Applications

Estimation of the bar stress based on crack width measurements in reinforced concrete structures

The time-domain Cartesian multipole expansion of electromagnetic fields

FENNECS: a novel particle-in-cell code for simulating the formation of magnetized non-neutral plasmas trapped by electrodes of complex geometries

Two-dimensional quasi-static delamination in composite laminates under Mode-I and Mode-II conditions

Error assessment of an adaptive finite elements-neural networks method for an elliptic parametric PDE

Pore size estimation in axon-mimicking microfibers with diffusion-relaxation MRI

Reliable data-driven decision-making through optimal transport

Learning the intrinsic dynamics of spatio-temporal processes through Latent Dynamics Networks

Modeling friction and wear using an adaptive discrete-continuum coupling

Shear and steel-fibre reinforcement for the punching resistance of flat slabs at internal and edge columns

Self-catalysed frontal polymerisation enables fast and low-energy processing of fibre reinforced polymer composites

Aerodynamic modeling of a delta-wing UAV for model-based navigation

Orbital-Resolved DFT plus U for Molecules and Solids

SPEEDING UP KRYLOV SUBSPACE METHODS FOR COMPUTING f(A)b VIA RANDOMIZATION

Reversible photo-electrochemical device for solar hydrogen and power generation

Efficient and insightful descriptors for representing molecular and material space