Results 111 to 120 of about 497,918 (226)

Nonlinear thermo-structural behavior of sandwich panels with truss cores under through-thickness gradient temperature field

open access: yesTheoretical and Applied Mechanics Letters, 2018
: A theoretical analysis is presented to predict the nonlinear thermo-structural response of metallic sandwich panels with truss cores under through-thickness gradient temperature field, which is a common service condition for metallic thermal protection
Wu Yuan, Hongwei Song, Chenguang Huang
doaj   +1 more source

Predicting Sediment Suspension by Asymmetric Waves with a Modified Model of Bottom Shear Stress

open access: yesJournal of Marine Science and Engineering
A sediment suspension model is established to predict the sediment movement beneath asymmetric waves, in which the bottom boundary condition for the sediment concentration equation is specified by means of pickup function parameterized by a modified ...
Yiqin Xie   +5 more
doaj   +1 more source

Fluid-solid coupling model and biological features of large vestibular aqueduct syndrome. [PDF]

open access: yesFront Bioeng Biotechnol, 2023
Chen Z   +5 more
europepmc   +1 more source

Head injury of two-wheeler cyclist based on fluid-solid coupling head model. [PDF]

open access: yesHeliyon, 2023
Yang N   +5 more
europepmc   +1 more source

FSGe: A fast and strongly-coupled 3D fluid–solid-growth interaction method

open access: yesComputer Methods in Applied Mechanics and Engineering
Equilibrated fluid-solid-growth (FSGe) is a fast, open source, three-dimensional (3D) computational platform for simulating interactions between instantaneous hemodynamics and long-term vessel wall adaptation through mechanobiologically equilibrated growth and remodeling (G&R).
Martin R. Pfaller   +6 more
openaire   +5 more sources

Multi-scale physics-informed neural networks for solving high Reynolds number boundary layer flows based on matched asymptotic expansions

open access: yesTheoretical and Applied Mechanics Letters
Multi-scale system remains a classical scientific problem in fluid dynamics, biology, etc. In the present study, a scheme of multi-scale Physics-informed neural networks is proposed to solve the boundary layer flow at high Reynolds numbers without any ...
Jianlin Huang   +3 more
doaj   +1 more source

Discrete element modelling of bedload transport

open access: yes, 2013
International audienceWe present a model for the description of bed load transport at the particle scale. The granular phase was modelled using discrete element method while the fluid phase was characterized by a fluid profile taken from the experiment ...
Chareyre, Bruno   +3 more
core   +2 more sources

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