Biot-JKD model: simulation of 1D transient poroelastic waves with fractional derivatives
Emilie Blanc (LMA), Guillaume Chiavassa (ECM), Bruno Lombard (LMA)

TL;DR
This paper presents a numerical method for simulating 1D transient poroelastic waves using a Biot-JKD model with fractional derivatives, employing diffusive representation and splitting strategies for efficient computation.
Contribution
It introduces a novel time-domain numerical approach for Biot-JKD equations using diffusive representation and optimized coefficients, enabling accurate and efficient wave simulations.
Findings
The method accurately reproduces analytical solutions.
The diffusive representation reduces computational complexity.
The approach is efficient for modeling frequency-dependent viscous effects.
Abstract
A time-domain numerical modeling of Biot poroelastic waves is presented. The viscous dissipation occurring in the pores is described using the dynamic permeability model developed by Johnson-Koplik-Dashen (JKD). Some of the coefficients in the Biot-JKD model are proportional to the square root of the frequency: in the time-domain, these coefficients introduce order 1/2 shifted fractional derivatives involving a convolution product. Based on a diffusive representation, the convolution kernel is replaced by a finite number of memory variables that satisfy local-in-time ordinary differential equations. Thanks to the dispersion relation, the coefficients in the diffusive representation are obtained by performing an optimization procedure in the frequency range of interest. A splitting strategy is then applied numerically: the propagative part of Biot-JKD equations is discretized using a…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
