A review of the spectral, pseudo‐spectral, finite‐difference and finite‐element modelling techniques for geophysical imaging
J Virieux, H Calandra, RÉ Plessix - Geophysical Prospecting, 2011 - earthdoc.org
Modelling methods are nowadays at the heart of any geophysical interpretation approach.
These are heavily relied upon by imaging techniques in elastodynamics and …
These are heavily relied upon by imaging techniques in elastodynamics and …
[HTML][HTML] A review of synthetic and augmented training data for machine learning in ultrasonic non-destructive evaluation
Ultrasonic Testing (UT) has seen increasing application of machine learning (ML) in recent
years, promoting higher-level automation and decision-making in flaw detection and …
years, promoting higher-level automation and decision-making in flaw detection and …
Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robustness
Full waveform inversion (FWI) infers the subsurface structure information from seismic
waveform data by solving a non-convex optimization problem. Data-driven FWI has been …
waveform data by solving a non-convex optimization problem. Data-driven FWI has been …
[BOOK][B] Ultrasonics: fundamentals, technologies, and applications
D Ensminger, LJ Bond - 2024 - books.google.com
Updated, revised, and restructured to reflect the latest advances in science and applications,
the fourth edition of this best-selling industry and research reference covers the fundamental …
the fourth edition of this best-selling industry and research reference covers the fundamental …
OpenFWI: Large-scale multi-structural benchmark datasets for full waveform inversion
Full waveform inversion (FWI) is widely used in geophysics to reconstruct high-resolution
velocity maps from seismic data. The recent success of data-driven FWI methods results in a …
velocity maps from seismic data. The recent success of data-driven FWI methods results in a …
A domain decomposition approach to implementing fault slip in finite‐element models of quasi‐static and dynamic crustal deformation
We employ a domain decomposition approach with Lagrange multipliers to implement fault
slip in a finite‐element code, PyLith, for use in both quasi‐static and dynamic crustal …
slip in a finite‐element code, PyLith, for use in both quasi‐static and dynamic crustal …
[BOOK][B] The finite-difference modelling of earthquake motions: Waves and ruptures
Among all the numerical methods in seismology, the finite-difference (FD) technique
provides the best balance of accuracy and computational efficiency. This book offers a …
provides the best balance of accuracy and computational efficiency. This book offers a …
[BOOK][B] Phononic crystals: artificial crystals for sonic, acoustic, and elastic waves
V Laude - 2020 - books.google.com
The book provides a comprehensive presentation of the topic of phononic and sonic
crystals, including acoustic and elastic wave propagation in homogeneous and periodic …
crystals, including acoustic and elastic wave propagation in homogeneous and periodic …
[HTML][HTML] Deep learning for fast simulation of seismic waves in complex media
The simulation of seismic waves is a core task in many geophysical applications. Numerical
methods such as finite difference (FD) modelling and spectral element methods (SEMs) are …
methods such as finite difference (FD) modelling and spectral element methods (SEMs) are …
Comparison of finite difference and boundary integral solutions to three‐dimensional spontaneous rupture
The spontaneously propagating shear crack on a frictional interface has proven to be a
useful idealization of a natural earthquake. The corresponding boundary value problems are …
useful idealization of a natural earthquake. The corresponding boundary value problems are …