Nonlinear Waves in Nonlinear Waves in Granular Crystals Granular - - PowerPoint PPT Presentation

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Nonlinear Waves in Nonlinear Waves in Granular Crystals Granular - - PowerPoint PPT Presentation

Nonlinear Waves in Nonlinear Waves in Granular Crystals Granular Crystals Mason A. Porter Oxford Centre for Industrial and Applied Mathematics Mathematical Institute, University of Oxford References: PRE 77 : 015601(R) (2008); Physica D 238 : 6,


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Nonlinear Waves in Nonlinear Waves in Granular Crystals Granular Crystals

Mason A. Porter

Oxford Centre for Industrial and Applied Mathematics Mathematical Institute, University of Oxford

References: PRE 77: 015601(R) (2008); Physica D 238: 6, 666 (2009); arXiv:0802.1451 (to appear in Mech.

  • Adv. Mat. Struct.), PRL 102: 024102 (2009); arXiv:0904.0426; arXiv:0906.4094
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Coauthors Coauthors

 Theorists

Ricardo Carretero-González (San Diego State University)

Fernando Fraternali (University of Salerno)

  • M. Kavousanakis, I. G. Kevrekidis (Princeton)

Panos Kevrekidis, Georgios Theocharis (University of Mass. at Amherst)

Yi Ming Lai (Oxford)

Laurent Ponson (Caltech)

 Experimentalists

Nick Boechler, Chiara Daraio, Devvrath Kahtri, Ivan Szelengowicz (Caltech)

Eric Herbold (GTRI)

Georgios Theocharis ???

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Fermi-Pasta-Ulam (FPU) problem Fermi-Pasta-Ulam (FPU) problem

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Granular Crystals Granular Crystals

 Granular crystals = tightly-packed

arrangements of beads

 Compressive force when they squeeze

each other (no force when not in contact)

 Use elastic waves to study

phenomena such as those associated with disorder or with electromagnetic waves

 Analogy with photonic crystals

 band gaps in the presence of precompression

(“phononic crystals”)

 Can achieve either weakly nonlinear

  • r strongly nonlinear dynamics
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Equations of Motion (1D) Equations of Motion (1D)

 Hertzian contact ⇒ 3/2 interaction power  Ej = elastic modulus of bead j (how stiff is it)  νj = Poisson ratio (how much squeezing is caused by stretching)  mj = mass  Rj = radius  yj = coordinate of center of bead j

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Highly nonlinear solitary waves Highly nonlinear solitary waves

 Without gravity and

precompression, the equations of motion cannot be linearized (one just gets 0). We observe waves with finite support.

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Chains of Dimers Chains of Dimers

 Periodic array of cells.  Propagation of acoustic waves through

inhomogeneous but periodic media

 Each cell contains N1 beads of one type

and N2 beads of a second type.

Consider particles of different m, E, ν

Examine interactions between nonlinearity + material heterogeneity (e.g., periodic arrangements)

What happens to pulse width, propagation speed, etc?

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1:1 dimer chains 1:1 dimer chains

Left: Steel:PTFE Right: Steel:rubber Top: experiments Bottom: numerics

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N1:1 ste 1 steel:PT PTFE d E dimer c r chains s

Left: 2:1 dimers Right: 5:1 dimers Top: experiments Bottom: numerics

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Long wavelength asymptotics Long wavelength asymptotics

 Like the FPU → KdV calculation, but more intricate  Generalize asymptotic analysis of homogeneous chains

by Nesterenko using a generalized version of method by Pnevmatikos, Flytzanis, & Remoissenet (PRB 33, 4, 2308 [1986]).

 For 1:1 chains only  Two different types of beads give the following rescaled

equations (general interaction power k):

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Compacton Solutions Compacton Solutions

 Compacton solutions of long-wavelength

PDE

 Traveling waves: u = u(ξ) = u(x - Vst)

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Compacton Solutions II Compacton Solutions II

 The solitary pulse in the experiments consists of one arch

  • f the cosine profile.

 Key experimentally testable properties:

 (Peak) force-velocity scaling:

 Hertzian interactions:  Observation: Same value for homogeneous, N1:N2 chains, and trimer

chains (independent of mass ratio). This is a fundamental property of the Hertzian interactions and hence arises from the geometry of the beads. (We only have an analytical calculation for monomers and 1:1 dimers.)

 Pulse width = π/β

 Depends on mass ratio but independent of pulse’s amplitude  Fundamentally different for dimer versus homogeneous chains

  • Obtain both known limiting cases (m1 = m2, m1 >> m2)

 Closed form expression for β (too long to write down)

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Theory/numerics vs. Experiments Theory/numerics vs. Experiments

 Example: stainless steel:PTFE 1:1

dimer chain

 Top: force-velocity scaling

Experiments versus numerics (purple curve)

Green curve is numerics with a different value of E for PTFE

 Bottom: pulse width (full width

at half maximum) versus particle number

Red curve: numerics

Green curve: experiments

Line 1: theoretical (homogenized) width for m1 >> m2

Line 2: theoretical width for correct masses (ratio about 4:1)

Line 3: theoretical width for m1 = m2

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Chains of Trimers Chains of Trimers

Steel:bronze:PTFE (1:1:1)

  • Examine

configurations with different values of m, E, and ν

  • See MAP et al,

Physica D, 2009

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Optimization Optimization

 F. Fraternali, MAP, &

CD, arXiv:0802.1451 (to appear in Mech. Adv.

  • Mat. Struct.)

 Genetic algorithm allows

control over the selection

  • f multiple parameters

 Example: Given fixed

particle sizes, particle materials, and chain length, arrange them to minimize the maximum amplitude of the transmitted impulse.

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Optimized Decorated/Tapered Chain Optimized Decorated/Tapered Chain

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Breathers in Chains with Defects Breathers in Chains with Defects

  • G. Theocharis, M. Kavousanakis, PGK, CD, MAP, & I. G. Kevrekidis, arXiv:

0906.4094

Homogeneous chain except for a small number of lower-mass particles

Initial condition: actuator with sinusoidal oscillation, which we then turn off (numerical).

Chain is precompressed

1 defect, 2 nearest-neighbor defects, 2 next-nearest-neighbor defects

Breathers in dimer chains (theory + numerics + experiment; in preparation)

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Breathers: 2 defects Breathers: 2 defects

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Incorp rporat ating d g dissipat ation n

  • R. Carretero-González, D. Kahtri,

MAP, PGK, & CD, PRL 102: 024102

Carefully match experimental characterization of loss rates with numerical experiments

Posit a power-law form of dissipation and fit to try to determine the best exponent and coefficient

Obtain consistent value for different materials

Conclusion: the exponent is decidedly different from 1 (i.e., the linear dashpot case) previously used in the literature to add dissipation to these models

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Elast stic sp c spin c n chains s

N S

  • Order parameter: “Magnetization” = | # [NS] – # [SN] | / (total # of pairs)
  • L. Ponson, N. Boechler, Y. M. Lai, MAP, PGK, & CD, arXiv:0904.0426
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Conclusions Conclusions

 Solitary wave propagation in periodic chains

Chains of dimers and chains of trimers

Good agreement in force-velocity scalings and pulse width (numerics + theory + experiments)

 Other heterogeneous configurations

Chains with defects: impurity modes

“Magnetization” transition in disordered chains

“Optimized” chains to obtain desired properties (minimize peak force at the end)

Incorporation of dissipation

 More to come…

More on optical modes/gap solitons/defects, quasiperiodic and randomized arrangements of beads, systematic incorporation of plastic and viscoelastic effects, other interaction exponents (including nonuniform interactions)

 General theme: Nonlinearity + Material Inhomogeneity = Fun!

Applications too: Non-invasive defect detection, shock absorbers, etc.

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And now for something completely And now for something completely different… different…

 A newsstand magazine article on the FPU

problem: MAP, N.J. Zabusky, B. Hu, & D. K. Campbell, American Scientist 97, 6, 214 (2009)