Results 71 to 80 of about 15,948 (253)
Rapidly developed deep learning methods, widely used in various fields of civil engineering, have provided an efficient option to reduce the computational costs and improve the predictive capabilities.
Wenyu Cao, Benbo Sun, Pengxiao Wang
doaj +1 more source
Propagating Linear Waves in Convectively Unstable Stellar Models: a Perturbative Approach
Linear time-domain simulations of acoustic oscillations are unstable in the stellar convection zone. To overcome this problem it is customary to compute the oscillations of a stabilized background stellar model.
Birch, Aaron C. +2 more
core +1 more source
Abstract This study proposes a deep‐learning–based regional earthquake early warning model, the Taiwan Transformer Shaking Alert Model (TT‐SAM). The model adopts peak ground velocity (PGV) as its primary ground shaking prediction unit, aiming to better reflect actual structural damage and thereby enhance the practical utility and accuracy of the ...
Yu‐Heng Chen +3 more
wiley +1 more source
Ambient noise tomography is an established technique in seismology, where calculating single- or nine-component noise cross-correlation functions (NCFs) is a fundamental first step.
Jingxi Wang +6 more
doaj +1 more source
QuakeML: status of the XML-based seismological data exchange format
QuakeML is an XML-based data exchange standard for seismology that is in its fourth year of active community-driven development. Its development was motivated by the need to consolidate existing data formats for applications in statistical seismology, as
Joachim Saul +3 more
doaj +1 more source
Ensemble Kalman filter for the reconstruction of the Earth's mantle circulation [PDF]
Recent advances in mantle convection modeling led to the release of a new generation of convection codes, able to self-consistently generate plate-like tectonics at their surface.
M. Bocher +3 more
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Determination of Transverse Density Structuring from Propagating MHD Waves in the Solar Atmosphere
We present a Bayesian seismology inversion technique for propagating magnetohydrodynamic (MHD) transverse waves observed in coronal waveguides. The technique uses theoretical predictions for the spatial damping of propagating kink waves in transversely ...
Arregui, I. +2 more
core +1 more source
Thermally damped linear compressional waves in a 2D solar coronal model [PDF]
The high resolution observations (TRACE and SOHO) of waves in coronal structures have revealed a rapid damping of modes, sometimes their damping length being of the same order as their wavelength. The rapid damping of modes in coronal loops permits us to
Ballai, I., Marcu, A., Orza, B.
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As fragility and risk modeling techniques and computational capabilities evolve, complemented by moving toward more routine and systematic seismic risk assessment of all buildings and critical infrastructure, the authors pose a few critical questions to investigate how the U.S. Geological Survey (USGS) National Seismic Hazard Models (NSHMs) can be used
Kishor S. Jaiswal, N. Simon Kwong
wiley +1 more source
3D Converted Wave Reverse Time Migration Imaging
We describe a newly developed method for recovering high-resolution images of seismic discontinuities, such as subducting slabs, in 3D. Our method makes use of converted S→P or P→S waves observed by dense arrays of seismometers to infer the locations ...
Leah Langer +3 more
doaj +1 more source

