Bulletin of the American Physical Society
APS March Meeting 2021
Volume 66, Number 1
Monday–Friday, March 15–19, 2021; Virtual; Time Zone: Central Daylight Time, USA
Session M07: Microflows Meet Soft Matter: Compliance, Growth, Instabilities and Beyond
11:30 AM–2:18 PM,
Wednesday, March 17, 2021
Room: 07
Sponsoring
Units:
DSOFT DFD GSNP
Chair: Pejman Sanaei, New York Inst of Tech
Abstract: M07.00003 : Interaction and coalescence of fluid-driven fractures: numerical predictions versus experiments
12:18 PM–12:30 PM
Live
Presenter:
Carlo Peruzzo
(Geo-Energy Lab - Gaznat Chair on Geo-Energy, Ecole Polytechnique Federale de Lausanne)
Authors:
Carlo Peruzzo
(Geo-Energy Lab - Gaznat Chair on Geo-Energy, Ecole Polytechnique Federale de Lausanne)
Brice Lecampion
(Geo-Energy Lab - Gaznat Chair on Geo-Energy, Ecole Polytechnique Federale de Lausanne)
Niall O'Keeffe
(Applied Mathematics and Theoretical Physics, University of Cambridge)
Paul F Linden
(Applied Mathematics and Theoretical Physics, University of Cambridge)
We test the theoretical predictions resulting from the combination of linear elastic fracture mechanics and lubrication flow in the growing fracture. We use a numerical solver based on an implicit level set algorithm which notably combines a finite discretization with the asymptotic solution for a steadily moving HF locally near the crack front.
For the first time, we compare blindly numerical predictions with data from coalescence experiments performed in hydrogel in the toughness dominated growth regime.
Initially, the two fractures propagate radially independently until they start to interact and coalesce.
The fracture front then exhibits a transition from a locally concave shape back toward a radial geometry at later times.
Apart from material heterogeneities and resolution of the experimental techniques, the time evolution of the fracture footprint before and after coalescence is captured by the numerical predictions.
The fluid velocity field and fracture opening at different times obtained experimentally and numerically are also in quantitative agreement.
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