59,547 research outputs found
A review of wildland fire spread modelling, 1990-present, 1: Physical and quasi-physical models
In recent years, advances in computational power and spatial data analysis
(GIS, remote sensing, etc) have led to an increase in attempts to model the
spread and behaviour of wildland fires across the landscape. This series of
review papers endeavours to critically and comprehensively review all types of
surface fire spread models developed since 1990. This paper reviews models of a
physical or quasi-physical nature. These models are based on the fundamental
chemistry and/or physics of combustion and fire spread. Other papers in the
series review models of an empirical or quasi-empirical nature, and
mathematical analogues and simulation models. Many models are extensions or
refinements of models developed before 1990. Where this is the case, these
models are also discussed but much less comprehensively.Comment: 31 pages + 8 pages references + 2 figures + 5 tables. Submitted to
International Journal of Wildland Fir
A coupled mitral valve -- left ventricle model with fluid-structure interaction
Understanding the interaction between the valves and walls of the heart is
important in assessing and subsequently treating heart dysfunction. With
advancements in cardiac imaging, nonlinear mechanics and computational
techniques, it is now possible to explore the mechanics of valve-heart
interactions using anatomically and physiologically realistic models. This
study presents an integrated model of the mitral valve (MV) coupled to the left
ventricle (LV), with the geometry derived from in vivo clinical magnetic
resonance images. Numerical simulations using this coupled MV-LV model are
developed using an immersed boundary/finite element method. The model
incorporates detailed valvular features, left ventricular contraction,
nonlinear soft tissue mechanics, and fluid-mediated interactions between the MV
and LV wall. We use the model to simulate the cardiac function from diastole to
systole, and investigate how myocardial active relaxation function affects the
LV pump function. The results of the new model agree with in vivo measurements,
and demonstrate that the diastolic filling pressure increases significantly
with impaired myocardial active relaxation to maintain the normal cardiac
output. The coupled model has the potential to advance fundamental knowledge of
mechanisms underlying MV-LV interaction, and help in risk stratification and
optimization of therapies for heart diseases.Comment: 25 pages, 6 figure
Bird's-eye view on Noise-Based Logic
Noise-based logic is a practically deterministic logic scheme inspired by the
randomness of neural spikes and uses a system of uncorrelated stochastic
processes and their superposition to represent the logic state. We briefly
discuss various questions such as (i) What does practical determinism mean?
(ii) Is noise-based logic a Turing machine? (iii) Is there hope to beat (the
dreams of) quantum computation by a classical physical noise-based processor,
and what are the minimum hardware requirements for that? Finally, (iv) we
address the problem of random number generators and show that the common belief
that quantum number generators are superior to classical (thermal) noise-based
generators is nothing but a myth.Comment: paper in pres
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Fluctuating force-coupling method for interacting colloids
This paper was presented at the 4th Micro and Nano Flows Conference (MNF2014), which was held at University College, London, UK. The conference was organised by Brunel University and supported by the Italian Union of Thermofluiddynamics, IPEM, the Process Intensification Network, the Institution of Mechanical Engineers, the Heat Transfer Society, HEXAG - the Heat Exchange Action Group, and the Energy Institute, ASME Press, LCN London Centre for Nanotechnology, UCL University College London, UCL Engineering, the International NanoScience Community, www.nanopaprika.eu.Brownian motion plays an important role in the dynamics of colloidal suspensions. It affects rheological
properties, influences the self-assembly of structures, and regulates particle transport. While including
Brownian motion in simulations is necessary to reproduce and study these effects, it is computationally intensive
due to the configuration dependent statistics of the particles’ random motion. We will present recent
work that speeds up this calculation for the force-coupling method (FCM), a regularized multipole approach
to simulating suspensions at large-scale. We show that by forcing the surrounding fluid with a configurationindependent,
white-noise stress, fluctuating FCM yields the correct particle random motion, even when higherorder
terms, such as the stresslets, are included in the multipole expansion. We present results from several
simulations demonstrating the effectiveness of this approach for modern problems in colloidal science and
discuss open questions such as the extension of fluctuating FCM to dense suspensions
Permeation of CO2 and N2 through glassy poly(dimethyl phenylene) oxide under steady- and presteady-state conditions
Glassy polymers are often used for gas separations because of their high selectivity. Although the dual-mode permeation model correctly fits their sorption and permeation isotherms, its physical interpretation is disputed, and it does not describe permeation far from steady state, a condition expected when separations involve intermittent renewable energy sources. To develop a more comprehensive permeation model, we combine experiment, molecular dynamics, and multiscale reaction–diffusion modeling to characterize the time-dependent permeation of N2 and CO2 through a glassy poly(dimethyl phenylene oxide) membrane, a model system. Simulations of experimental time-dependent permeation data for both gases in the presteady-state and steady-state regimes show that both single- and dual-mode reaction–diffusion models reproduce the experimental observations, and that sorbed gas concentrations lag the external pressure rise. The results point to environment-sensitive diffusion coefficients as a vital characteristic of transport in glassy polymers
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