Time delay neural networks reveal pressure-independent fault rupture processes in laboratory acoustic emission
Year: 2026
Type: article
Abstract: Three distinct phases of fault evolution are identified in acoustic emission data from triaxial deformation experiments of Alzo granite evaluated using a time delay neural network optimised via genetic algorithms.
Authors: Thomas King, Sergio C. Vinciguerra
Institutions: University of Turin, University of Birmingham
Language: English
Topic: Rock Mechanics and Modeling
Subfield: Mechanics of Materials
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,490
OpenAlex ID: W7133805355