A highly flexible laboratory setup to demonstrate granular flow characteristics

Dynamics of snow avalanches or landslides can be described by rapid granular flow. Experimental investigations of granular flow at laboratory scale are often required to analyze flow behaviour and to develop adequate mathematical and numerical models. Most investigations use image-based analysis, and additional sensors such as pressure gauges are not always possible. Testing various scenarios and parameter variations such as different obstacle shapes and positions as well as basal topography and friction usually requires either the construction of a new laboratory setups for each test or a cumbersome reconstruction. In this work, a highly flexible and modular laboratory setup is presented based on LEGO bricks. The flexibility of the model is demonstrated, and possible extensions for future laboratory tests are outlined. The setup is able to reproduce published laboratory experiments addressing current scientific research topics, such as overflow of a rigid reflector, flow on a bumpy surface and against a rigid wall using standard image-based analysis. This makes the setup applicable for quick scenario testing, e.g. for hypothesis testing or for low-cost testing prior to large-scale experiments, and it can contribute to the validation of external results and to benchmarks of numerical models. Small-scale laboratory setups are also very useful for demonstration purposes such as education and public outreach, both crucial in the context of natural hazards. The presented setup enables variation of parameters such as of slope length, channel width, height and shape, inclination, bed friction, obstacle position and shape, as well as density, composition, amount and grain size of flowing mass. Observable quantities are flow type, flow height, flow path and flow velocity, as well as runout distance, size and shape of the deposited material. Additional sensors allow further quantitative assessments, such as local pressure values.

[1]  Charles Wang Wai Ng,et al.  Dry granular flow interaction with dual-barrier systems , 2017 .

[2]  Olivier Pouliquen,et al.  Friction law for dense granular flows: application to the motion of a mass down a rough inclined plane , 2001, Journal of Fluid Mechanics.

[3]  S. Savage,et al.  The dynamics of avalanches of granular materials from initiation to runout. Part I: Analysis , 1991 .

[4]  D. Kolb Experiential Learning: Experience as the Source of Learning and Development , 1983 .

[5]  Remarks on the design of avalanche braking mounds based on experiments in 3, 6, 9 and 34 m long chutes , 2003 .

[6]  Adam V. Maltese,et al.  Eyeballs in the Fridge: Sources of early interest in science , 2010 .

[7]  M. C. Buncick,et al.  Using demonstrations as a contextual road map: Enhancing course continuity and promoting active engagement in introductory college physics , 2001 .

[8]  Yung-ming Cheng,et al.  Laboratory and field tests and distinct element analysis of dry granular flows and segregation processes , 2019, Natural Hazards and Earth System Sciences.

[9]  T. Faug,et al.  Standing jumps in shallow granular flows down smooth inclines , 2015 .

[10]  Frank Canters,et al.  Hazagora: will you survive the next disaster? – A serious game to raise awareness about geohazards and disaster risk reduction , 2015 .

[11]  M. B. Mendonca,et al.  Disaster education for landslide risk reduction: an experience in a public school in Rio de Janeiro State, Brazil , 2017, Natural Hazards.

[12]  M. Kalas,et al.  ANYCaRE: a role-playing game to investigate crisis decision-making and communication challenges in weather-related hazards , 2018, Natural Hazards and Earth System Sciences.

[13]  L. H. D. Liu,et al.  Effects of particle size of mono-disperse granular flows impacting a rigid barrier , 2018, Natural Hazards.

[14]  Kolumban Hutter,et al.  Unconfined flow of granular avalanches along a partly curved surface. II. Experiments and numerical computations , 1994, Proceedings of the Royal Society of London. Series A: Mathematical and Physical Sciences.

[15]  Andrés Marín,et al.  Living near volcanoes: Scoping the gaps between the local community and volcanic experts in southern Chile , 2020, Journal of Volcanology and Geothermal Research.

[16]  S. Savage,et al.  The dynamics of avalanches of granular materials from initiation to runout. Part II. Experiments , 1995 .

[17]  Yue‐Jun Zhang,et al.  An investigation of disaster education in elementary and secondary schools: evidence from China , 2017, Natural Hazards.

[18]  Kolumban Hutter,et al.  Motion of a granular avalanche in a convex and concave curved chute: experiments and theoretical predictions , 1993, Philosophical Transactions of the Royal Society of London. Series A: Physical and Engineering Sciences.

[19]  D. Schertzer,et al.  Making rainfall features fun: scientific activities for teaching children aged 5–12 years , 2016 .

[20]  Tómas Jóhannesson,et al.  Run-up of two avalanches on the deflecting dams at Flateyri, northwestern Iceland , 2001, Annals of Glaciology.

[21]  Azman Kassim,et al.  Performances of two instrumented laboratory models for the study of rainfall infiltration into unsaturated soils , 2011 .

[22]  Albert Ansmann,et al.  Air mass modification over Europe: EARLINET aerosol observations from Wales to Belarus , 2004 .

[23]  Rolf Katzenbach,et al.  Avalanching granular flows down curved and twisted channels: Theoretical and experimental results , 2008 .

[24]  D. Zhong,et al.  Simulations of granular flow along an inclined plane using the Savage-Hutter model , 2012 .

[25]  R. Denlinger,et al.  Granular avalanches across irregular three‐dimensional terrain: 2. Experimental tests , 2004 .

[26]  Wei Wu,et al.  Flow–obstacle interaction in rapid granular avalanches: DEM simulation and comparison with experiment , 2009 .

[27]  J. Gray,et al.  Multiple solutions for granular flow over a smooth two-dimensional bump , 2017, Journal of Fluid Mechanics.

[28]  Jean-Christophe Gaillard,et al.  Culture and disaster risk reduction: Lessons and opportunities , 2012 .

[29]  Charles Wang Wai Ng,et al.  Flume Investigation Of The Influence Of Rigid Barrier Deflector Angle On Dry Granular Overflow Mechanisms , 2016 .

[30]  Douglas Paton,et al.  Risk perception and volcanic hazard mitigation: Individual and social perspectives , 2008 .

[31]  R. Iverson,et al.  Dynamic Pore-Pressure Fluctuations in Rapidly Shearing Granular Materials , 1989, Science.

[32]  H. Norin,et al.  Environmental hazards , 1985 .

[33]  T. Plattner,et al.  Integrating public risk perception into formal natural hazard risk assessment , 2006 .

[34]  Ana Paiva,et al.  Disaster Prevention Social Awareness: The Stop Disasters! Case Study , 2014, 2014 6th International Conference on Games and Virtual Worlds for Serious Applications (VS-GAMES).

[35]  Richard M. Iverson,et al.  Granular avalanches across irregular three-dimensional terrain: 1. Theory and computation , 2004 .

[36]  M. Barbolini,et al.  Laboratory measurements of impact forces of supercritical granular flow against mast-like obstacles , 2007 .

[37]  D. Kolb,et al.  The Process of Experiential Learning , 2000 .

[38]  Ikuo Towhata,et al.  Experimental Study of Dry Granular Flow and Impact Behavior Against a Rigid Retaining Wall , 2013, Rock Mechanics and Rock Engineering.

[39]  D. Eckersley,et al.  Instrumented laboratory flowslides , 1990 .

[40]  T. Lyons,et al.  Different Countries, Same Science Classes: Students’ experiences of school science in their own words , 2006 .

[41]  Richard R. de Jager,et al.  Preliminary Results of Instrumented Laboratory Flow Slides , 2017 .

[42]  C. Kuo,et al.  A rapid granular chute avalanche impinging on a small fixed obstacle: DEM modeling, experimental validation and exploration of granular stress , 2019, Applied Mathematical Modelling.

[43]  C. Ng,et al.  Interaction between dry granular flow and deflectors , 2017, Landslides.

[44]  E. Hopfinger,et al.  Snow Avalanche Motion and Related Phenomena , 1983 .

[45]  O. Hungr,et al.  A model for the analysis of rapid landslide motion across three-dimensional terrain , 2004 .

[46]  The Blue Marble: A Model for Primary School STEM Outreach. , 2013 .

[47]  Fred Percival,et al.  Games and simulations in science education , 1981 .

[48]  K. Hutter,et al.  Motion of a granular avalanche in an exponentially curved chute: experiments and theoretical predictions , 1991, Philosophical Transactions of the Royal Society of London. Series A: Physical and Engineering Sciences.

[49]  Christian Rixen,et al.  Snow avalanche disturbances in forest ecosystems—State of research and implications for management , 2009 .

[50]  Selen Turkay,et al.  What do Players (Think They) Learn in Games , 2012 .

[51]  P. Versace,et al.  An Instrumented Flume for Infiltration Process Modeling, Landslide Triggering and Propagation , 2019, Geosciences.