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Science Focus: The Earthquake early warning system can be simulated by experimental framework in the field of fluid dynamics

A team of researchers have developed a novel experimental framework system in the field of fluid dynamics to explain the deformation in disordered soft solids formed by mixing solid grains at significant proportions in a simple liquid. This framework can be utilized for developing early warning systems to minimize damage due to catastrophic events like landslides/earthquakes.

Various systems exist all around us in the field of material processing industries that deal with dry grains and slurries flowing through pipelines over large distances and in catastrophic natural phenomena like earthquakes, landslides and rock avalanche.

These systems are contains of grains that are essentially similar to grains of rice. Rice grains can be packed better into a container by shaking the container. The forces coming from shaking make the grains gradually more compact until it reaches a critical degree of compaction. Interestingly, such critical compaction encodes the information about the interactions between the grains coming from inter-particle friction, the shape of the particles, sticky-ness, and so on.

Although it is well known previous studies that how the complex flow activities in dense suspensions may determined by the inter-particle interactions, a quantitative correlation between the flow behavior and the inter-particle interactions remains missing.

A group of researchers from Raman Research Institute, an autonomous institute of the DST has proposed a novel experimental framework, it is a combining the concept of fluid dynamics and how grains become gradually immobile at high enough compaction (called the jamming transition), to describe the deformation and failure in disordered soft solids formed by dispersing granular particles in simple fluids. This framework have established a quantitative correlation between the flow behaviour and the inter-particle interactions and validated it over a wide parameter range.

The researchers have used the concept motivated by the compaction of rice grains to understand dense suspensions and have further confirmed the idea by tuning the inter-particle interactions using surfactants (which are essentially soap molecules).

Using a combination of experimental techniques like shear-rheology which essentially measures the force-deformation response of materials, particle settling to determine the degree of compaction, and boundary imaging to observe the nature of flow in the system, they establish such a correlation in a quantitative manner in a paper recently published in the journal Communications Physics Journal of Nature publishing group.

For more read: https://www.nature.com/articles/s42005-022-00904-4

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