380 research outputs found
Marshall University Music Department Presents a Guest Artist, Harsha Abeyaratne, piano, A Chopin Celebration
https://mds.marshall.edu/music_perf/1499/thumbnail.jp
Macroscopic limits of microscopic models
Many physical systems are comprised of several discrete elements, the equations of motion of each element being known. If the system has a large number of degrees of freedom, it may be possible to treat it as a continuous system. In this event, one might wish to derive the equations of motion of the continuous (macroscopic) system by taking a suitable limit of the equations governing the discrete (microscopic) system. The classical example of this involves a row of particles with each particle connected to its nearest neighbor by a linear spring, its continuum counterpart being a linearly elastic bar; see Fig. 1.
In a typical undergraduate engineering subject on, for example, Dynamics, the transition from a discrete system to a continuous system is usually carried out through a formal Taylor expansion of the terms of the discrete model about some reference configuration. The aim of this paper is to draw attention to the fact that a macroscopic model derived in this way should be examined critically in order to confirm that it provides a faithful representation of the underlying microscopic model. We use a specific (striking) example to make this point. In this example, a simple solution of the discrete model can be stable or unstable depending on the state of the system. However, the corresponding solution of the continuous system is always unstable! We go on to show how the dispersion relations of the two models can be used to identify the source of the discrepancy and to suggest how one might modify the continuous model
Unstable Elastic Materials and the Viscoelastic Response of Bars in Tension
Some homogeneous elastic materials are capable of sustaining
finite equilibrium deformations with discontinuous
strains. For materials of this kind, the energetics of isothermal,
quasi-static motions may differ from those conventionally
associated with elastic behavior. When equilibrium states
involving strain jumps occur during such motions, the rate of
increase of stored energy in a portion of the body may no
longer coincide with the rate of work of the external forces
present. In general, energy balance now includes an additional
effect due to the presence of moving strain discontinuities. As
a consequence, the macroscopic response of the body may be
dissipative. This fact makes it possible to model certain types
of inelastic behavior in solids with the help of such "unstable"
elastic materials; see, for example, Abeyaratne and Knowles
(1987a,b,c)
A One-Dimensional Peridynamic Model of Defect Propagation and its Relation to Certain Other Continuum Models
The peridynamic model of a solid does not involve spatial gradients of the
displacement field and is therefore well suited for studying defect
propagation. Here, bond-based peridynamic theory is used to study the
equilibrium and steady propagation of a lattice defect -- a kink -- in one
dimension. The material transforms locally, from one state to another, as the
kink passes through. The kink is in equilibrium if the applied force is less
than a certain critical value that is calculated, and propagates if it exceeds
that value. The kinetic relation giving the propagation speed as a function of
the applied force is also derived.
In addition, it is shown that the dynamical solutions of certain
differential-equation-based models of a continuum are the same as those of the
peridynamic model provided the micromodulus function is chosen suitably. A
formula for calculating the micromodulus function of the equivalent peridynamic
model is derived and illustrated. This ability to replace a
differential-equation-based model with a peridynamic one may prove useful when
numerically studying more complicated problems such as those involving multiple
and interacting defects
A note on the driving traction acting on a propagating interface: Adiabatic and non-adiabatic processes of a continuum
An expression for the driving traction on an interface is derived for an arbitrary continuum undergoing an arbitrary thermomechanical
process which may- or may not be adiabatic
On a shock-induced martensitic phase transition
A recently developed continuum-mechanical model for stress-induced phase transitions in solids is applied to a transition generated by impact. The role of transition kinetics in determining the macroscopic response to impact is discussed; in addition, the special way that “overdriven” phase boundaries emerge in this model is described. The predictions of the model are compared with experiments involving shock-induced graphite-to-diamond phase transitions
A continuum model for the growth of dendritic actin networks
Polymerization of dendritic actin networks underlies important mechanical
processes in cell biology such as the protrusion of lamellipodia, propulsion of
growth cones in dendrites of neurons, intracellular transport of organelles and
pathogens, among others. The forces required for these mechanical functions
have been deduced from mechano-chemical models of actin polymerization; most
models are focused on single growing filaments, and only a few address
polymerization of filament networks through simulations. Here we propose a
continuum model of surface growth and filament nucleation to describe
polymerization of dendritic actin networks. The model describes growth and
elasticity in terms of macroscopic stresses, strains and filament density
rather than focusing on individual filaments. The microscopic processes
underlying polymerization are subsumed into kinetic laws characterizing the
change of filament density and the propagation of growing surfaces. This
continuum model can predict the evolution of actin networks in disparate
experiments. A key conclusion of the analysis is that existing laws relating
force to polymerization speed of single filaments cannot predict the response
of growing networks. Therefore a new kinetic law, consistent with the
dissipation inequality, is proposed to capture the evolution of dendritic actin
networks under different loading conditions. This model may be extended to
other settings involving a more complex interplay between mechanical stresses
and polymerization kinetics, such as the growth of networks of microtubules,
collagen filaments, intermediate filaments and carbon nanotubes
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