Results 121 to 130 of about 2,068 (300)

A deep learning framework for suppressing prestack seismic random noise without noise-free labels

open access: yesEnergy Geoscience
Random noise attenuation is significant in seismic data processing. Supervised deep learning-based denoising methods have been widely developed and applied in recent years.
Han Wang, Jie Zhang
doaj   +1 more source

Revised Minoan eruption volume as benchmark for large volcanic eruptions. [PDF]

open access: yesNat Commun, 2023
Karstens J   +14 more
europepmc   +1 more source

Next‐Generation Seismic Performance Assessment Through Multi‐Component Ground Motion Compatible Intensifying Artificial Acceleration

open access: yesEarthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Despite the crucial need for fully quantitative risk assessment of large‐scale structures, their performance is typically assessed through deterministic or semi‐quantitative approaches. The main preventing factor is the computational burden of probabilistic seismic analyses.
M. Amin Hariri‐Ardebili   +6 more
wiley   +1 more source

Displacement Estimation of Structures With Flag‐Shaped Hysteresis Loops

open access: yesEarthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Time‐history analyses were conducted on single‐degree‐of‐freedom (SDOF) systems with flag‐shaped hysteresis loops using a far‐field ground motion suite to estimate peak displacements, Δp, and equivalent deformation cycles, Nc, associated with cumulative displacement demands.
Yudi Zhang   +5 more
wiley   +1 more source

A study of geomechanical effects on time-lapse seismics

open access: yes, 2012
Time-lapse seismics is known to be a very effective monitoring technique for the subsurface fluid movement and saturation changes, as well as for geomechanical phenomena [Snieder et al., 2007].
Vignoli, G.   +3 more
core  

Seismic Performance of Reduced‐Strength Steel MRFs With SMA‐Based Superelastic Friction Dampers: An Experimental Investigation

open access: yesEarthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Shape memory alloys (SMAs) exhibit excellent self‐centering capability due to their stress‐induced phase transformation, making them highly suitable for applications in resilient infrastructure. This study investigates the seismic performance of reduced‐strength moment‐resisting frames (MRFs) equipped with SMA‐based superelastic friction ...
Faisal Nissar Malik   +5 more
wiley   +1 more source

Mathematical models of seismics in composite media: elastic and poro-elastic components

open access: yesElectronic Journal of Differential Equations, 2016
In the present paper we consider elastic and poroelastic media having a common interface. We derive the macroscopic mathematical models for seismic wave propagation through these two different media as a homogenization of the exact mathematical model ...
Anvarbek Meirmanov, Marat Nurtas
doaj  

Enhancing the Seismic Resilience of Masonry‐Infilled RC Structures Using Rubber Joints: Full‐Scale 3D Shaking Table Tests

open access: yesEarthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Masonry infills in reinforced concrete (RC) frames are highly vulnerable to seismic damage, often sustaining severe cracking even under moderate ground motion, which in turn leads to considerable economic losses and safety risks. To address this issue, this study experimentally evaluates the effectiveness of two innovative rubber‐based joints ...
Enrico Tubaldi   +16 more
wiley   +1 more source

Active Seismics on Sorsdal Glacier 2016-2017

open access: yes
Progress Code: completed<b>Purpose</b><br/>Measurement of ice thickness and water column thickness on floating iceThe active seismics are all part of a survey of the Sorsdal Glacier.

core  

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