Preliminary numerical and experimental tests for the study of vibration signals in dry granular flows

FRANCESCO ZARATTINI 1, ANTONIO POL 1, LUCA SCHENATO 2, PIA R. TECCA 2, ANDREA M. DEGANUTTI 2, ANDRÉS GARCIA-RUIZ 4, MIGUEL SORIANOAMAT 4, MIGUEL GONZÀLEZ-HERRÀEZ 4, HUGO F. MARTINS 5, ALESSANDRO PASUTO 2, LUCA PALMIERI 3, FABIO GABRIELI 1, 2019, Preliminary numerical and experimental tests for the study of vibration signals in dry granular flows, VI International Conference on Particle-Based Methods_ fundamentals and applications (PARTICLES 2019), pp. 305–312, Barcelona, 28-30 October, 2019,
URL: http://www.cnr.it/prodotto/i/421870

Debris flows are one of the most important hazards in mountainous areas because of their paroxysmal nature, the high velocities, and energy carried by the transported material. The monitoring of these phenomena plays a relevant role in the prevention of the effects of these events. Among different possibilities, fiber optical sensors appear well-suited for this purpose thanks to their fair cheapness (with the exception of the interrogator), the robustness to electromagnetic interferences, the adaptability in extreme harsh conditions (no power supply is required), the possibility of locating the interrogator many kilometers far away from the monitored site, and the unique feature to provide very-dense multipoint distributed measurements along long distances. In this work, the vibro-acoustics signal produced by these phenomena has been focused as a possible source of information for the prediction of incipient movement, and the tracking of their path, velocity and thickness. Few literature works investigate these aspects, and for this reason, a preliminary laboratory and numerical campaign have been carried out with dry granular flume tests on an inclined chute. The discrete element method has been used to simulate the tests and to synthesize the signal measured on an instrumented mat along the channel. The grain shapes of the granular material used in simulations have been obtained by a photogrammetric tridimensional reconstruction. The forcetime signal has been also analyzed in time-frequency domain in order to infer the features of the flow. The numerical activity has been preparatory for the experiments carried out by instrumenting the flume with an optical fiber distributed vibration sensing system.

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