Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (10/10 displayed)

  • 2021Creep stability of the DART/Hera mission target 65803 Didymos: II. The role of cohesion60citations
  • 2019Finite element method approach for quantifying the conditions for shape deformation of the primary of binary asteroid Didymos after the DART impactcitations
  • 2018Rotational Failure of Rubble-pile Bodies: Influences of Shear and Cohesive Strengths92citations
  • 2014Low-speed impact simulations into regolith in support of asteroid sampling mechanism design I: Comparison with 1-g experiments40citations
  • 2013Numerically simulating impact disruptions of cohesive glass bead agglomerates using the soft-sphere discrete element method38citations
  • 2012Numerical Simulations of Landslides Calibrated Against Laboratory Experiments for Application to Asteroid Surface Processescitations
  • 2012Numerical Simulations of Low-Speed Impact Disruption of Cohesive Aggregates Using the Soft-Sphere Discrete Element Method and Comparison with Experiments on Sintered-Glass-Bead Agglomeratescitations
  • 2011Simulations of low-speed impacts into cohesive aggregates and comparison with experiments on sintered glass bead agglomeratescitations
  • 2007Rotational Disruption of Gravitational Aggregates with Cohesive Strengthcitations
  • 2007Numerical Studies of Satellite-Ring Interactionscitations

Places of action

Chart of shared publication
Zhang, Yun
2 / 8 shared
Michel, Patrick
8 / 14 shared
Barnouin, Olivier S.
2 / 2 shared
Manzoni, Claudia
1 / 1 shared
Tsiganis, Kleomenis
1 / 1 shared
Agrusa, Harrison F.
1 / 1 shared
May, Brian H.
1 / 1 shared
Rivkin, A.
1 / 1 shared
Chabot, N. L.
1 / 1 shared
Cheng, A. F.
1 / 1 shared
Sanchez, P.
1 / 1 shared
Thomas, C.
1 / 7 shared
Ernst, C. M.
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Stickle, A. M.
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Agrusa, H. F.
1 / 1 shared
Fahnestock, E.
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Hirabayashi, M.
1 / 1 shared
Barnouin, O. S.
1 / 3 shared
Ballouz, Ronald-Louis
1 / 4 shared
Schwartz, Stephen R.
3 / 4 shared
Yano, Hajime
1 / 3 shared
Walsh, K. J.
2 / 4 shared
Weinhart, T.
1 / 1 shared
Blum, J.
1 / 2 shared
Schwartz, S. R.
3 / 5 shared
Nakamura, A. M.
2 / 4 shared
Machii, N.
2 / 2 shared
Perrine, Randall P.
1 / 1 shared
Chart of publication period
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Co-Authors (by relevance)

  • Zhang, Yun
  • Michel, Patrick
  • Barnouin, Olivier S.
  • Manzoni, Claudia
  • Tsiganis, Kleomenis
  • Agrusa, Harrison F.
  • May, Brian H.
  • Rivkin, A.
  • Chabot, N. L.
  • Cheng, A. F.
  • Sanchez, P.
  • Thomas, C.
  • Ernst, C. M.
  • Stickle, A. M.
  • Agrusa, H. F.
  • Fahnestock, E.
  • Hirabayashi, M.
  • Barnouin, O. S.
  • Ballouz, Ronald-Louis
  • Schwartz, Stephen R.
  • Yano, Hajime
  • Walsh, K. J.
  • Weinhart, T.
  • Blum, J.
  • Schwartz, S. R.
  • Nakamura, A. M.
  • Machii, N.
  • Perrine, Randall P.
OrganizationsLocationPeople

document

Numerical Simulations of Landslides Calibrated Against Laboratory Experiments for Application to Asteroid Surface Processes

  • Walsh, K. J.
  • Michel, Patrick
  • Weinhart, T.
  • Richardson, Derek C.
  • Blum, J.
  • Schwartz, S. R.
Abstract

Spacecraft images of asteroids show evidence of low-gravity granular flows. Interpretation of these flows requires numerical modeling, which in turn requires code validation at laboratory scales. We have implemented a soft-sphere discrete element method (SSDEM) for modeling granular flows in our numerical code (Schwartz et al. 2012, Granular Matter 14, 363). Here we present results from a study to calibrate our code against controlled landslide experiments in order to determine the SSDEM parameters that best match real materials, to see how changes in those parameters affect the flow, and to mimic effects such as those due to irregular particle shapes. The apparatus, designed at University of Braunschweig, is a 0.6 × 0.8 m enclosed bed with a surface comprised of 10 mm diameter glass spheres glued into precisely drilled holes in a metal plate. The exact positions and depths of each of these glued spheres are input to the simulations. The experiments consist of filling the apparatus with loose glass beads (also 10 mm diameter) up to a set depth then gradually tilting the bed to note the angle of landslide initiation and the characteristics of the resulting flow. We reproduce this procedure in simulations, which we find are quite sensitive to the adopted SSDEM parameters, e.g., rolling friction and tangential damping delay landslide onset, while higher particle elasticity gives rise to faster, shorter-duration landslides. Preliminary results show a best match to the experiments (landslide initiation around 25 degrees) when adopting low static friction and no rolling friction in the simulations, but more experiments are in process. In future work, we will perform simulations in low-gravity environments representative of asteroid surfaces. This work is supported in part by grant NNX08AM39G from the NASA Office of Space Science. This study resulted from International Team collaboration #202 sponsored by ISSI in Switzerland. <P />...

Topics
  • impedance spectroscopy
  • surface
  • experiment
  • simulation
  • glass
  • glass
  • elasticity
  • particle shape
  • discrete element method