Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Labyrinthine granular landscapes.

H Caps1, N Vandewalle

  • 1GRASP, Institut de Physique B5, Université de Liège, B-4000 Liège, Belgium.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|December 12, 2001
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Magnetically assisted trapping of passive colloids by active dipolar chain.

Physical review. E·2026
Same author

GRASPion: An open-source, programmable brainbot for active matter research.

The Review of scientific instruments·2026
Same author

Onsager variational principle for granular fluids.

Physical review. E·2024
Same author

Dipolar gels formed by aggregation of magnetized beads.

Physical review. E·2024
Same author

Droplet Helical Motion on Twisted Fibers.

Langmuir : the ACS journal of surfaces and colloids·2024
Same author

Deformation of soap bubbles in uniform magnetic fields.

Soft matter·2023
Same journal

Tension on dsDNA bound to ssDNA-RecA filaments may play an important role in driving efficient and accurate homology recognition and strand exchange.

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Amplitude-phase coupling drives chimera states in globally coupled laser networks [Phys. Rev. E 91, 040901(R) (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Erratum: Shapes of sedimenting soft elastic capsules in a viscous fluid [Phys. Rev. E 92, 033003 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Erratum: Attenuation of excitation decay rate due to collective effect [Phys. Rev. E 90, 022142 (2014)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Role of connectivity and fluctuations in the nucleation of calcium waves in cardiac cells [Phys. Rev. E 92, 052715 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Lattice Boltzmann approach for complex nonequilibrium flows [Phys. Rev. E 92, 043308 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
See all related articles

Numerical simulations reveal that wind-driven erosion of granular landscapes forms labyrinthic patterns when wind direction shifts by 90 degrees. Defect density dynamics govern this irreversible process.

Area of Science:

  • Geomorphology
  • Complex Systems

Background:

  • Granular landscapes are shaped by erosive forces.
  • Wind erosion is a significant geomorphic process, particularly in arid and semi-arid regions.
  • Understanding pattern formation in natural systems is crucial for predicting landscape evolution.

Purpose of the Study:

  • To numerically investigate the formation of labyrinthic patterns in a granular landscape under wind erosion.
  • To identify the key dynamic parameter controlling landscape evolution.
  • To analyze the role of wind orientation changes in pattern development.

Main Methods:

  • Numerical simulation of a granular landscape model.
  • Analysis of pattern formation under changing wind orientation (90-degree turns).
  • Introduction and tracking of the defect density parameter, n(k).

Related Experiment Videos

Main Results:

  • Labyrinthic patterns emerge when wind orientation changes by 90 degrees.
  • The defect density n(k) follows a power-law behavior over time.
  • The exponent of the power-law shifts from two to one with wind variations.
  • Two asymptotic values of n(k) indicate an irreversible formation process.

Conclusions:

  • Wind-driven erosion can create complex labyrinthic landforms.
  • Defect density is a critical dynamic parameter in granular landscape evolution.
  • The formation of these labyrinthic structures is an irreversible process.