Connecting the grain-shearing mechanism of wave propagation in marine sediments to fractional order wave equations

TL;DR

This paper links the grain-shearing mechanism in marine sediments to fractional wave equations, showing that fractional calculus naturally models the physical process of rheopectic pore-fluid behavior in wave propagation.

Contribution

It demonstrates that wave equations derived from the grain-shearing model are equivalent to fractional differential equations, providing a physical basis for fractional calculus in modeling sediment wave propagation.

Findings

Wave equations from the GS model are equivalent to fractional wave equations.

The characteristic fractional order relates to rheopectic properties of pore-fluid.

Fractional calculus can be physically derived from grain-shearing processes.

Abstract

The characteristic time-dependent viscosity of the intergranular pore-fluid in Buckingham's grain-shearing (GS) model [Buckingham, J. Acoust. Soc. Am. 108, 2796-2815 (2000)] is identified as the property of rheopecty. The property corresponds to a rare type of a non-Newtonian fluid in rheology which has largely remained unexplored. The material impulse response function from the GS model is found to be similar to the power-law memory kernel which is inherent in the framework of fractional calculus. The compressional wave equation and the shear wave equation derived from the GS model are shown to take the form of the Kelvin-Voigt fractional-derivative wave equation and the fractional diffusion-wave equation respectively. Therefore, an analogy is drawn between the dispersion relations obtained from the fractional framework and those from the GS model to establish the equivalence of the respective wave equations. Further, a physical interpretation of the characteristic fractional order present in the wave equations is inferred from the GS model. The overall goal is to show that fractional calculus is not just a mathematical framework which can be used to curve-fit the complex behavior of materials. Rather, it can also be derived from real physical processes as illustrated in this work by the example of grain-shearing.