Results 61 to 70 of about 33,286 (218)
MACHINE LEARNING AND THE CONSTRUCTION OF A SEISMIC ATTRIBUTE-SEISMIC FACIES ANALYSIS DATA BASE [PDF]
Currently, seismic facies and structural analysis requires a significant amount of time and effort by skilled interpreters. With the advances made by companies such as Amazon and Google with AI (artificial intelligence) and machine learning, many ...
Cassel, Murphy
core
Three-dimensional joint inversion of traveltime and gravity data across the Chicxulub impact crater
In 2005 an extensive new seismic refraction data set was acquired over the central part of the Chicxulub impact crater, allowing us to image its structure with much better resolution than before.
Morgan, J. V. +8 more
core +1 more source
Earthquake Source Characterization Using 3D Numerical Modeling [PDF]
To understand the physics of earthquakes, it is important to know what happens during individual events. Dissembling the information about the source process from the recorded seismograms is a difficult and non-unique process, as there are severe trade ...
Hjörleifsdóttir, Vala
core +1 more source
Ensuring Seismic Resistance of Reinforced Concrete Buildings
There are a large number of works on a comprehensive assessment of the seismic resistance of buildings and structures. However, these studies, as a rule, do not take into account the random nature of the seismic impact, which is a pronounced non ...
O. V. Mkrtychev, A. A. Reshchetov
doaj +1 more source
REGULATION OF SEISMIC LOAD ON BUILDINGS SEISMIC DEVICES
The issues of regulation of seismic loads on structures using kinematic supports of highstrength concrete on the impregnated coarse aggregate and seismic isolation bearings Belleville. The results of experimental studies related to the obtaining of a new
Kh. N. Mazhiev +4 more
doaj +1 more source
Surface Wave Analysis in Laterally Varying Media [PDF]
This work studies the possibility of using surface wave analysis as a tool for a robust estimation of the S-wave velocity behaviour in laterally varying media.
Aruna Prem Bianzino, +5 more
core +1 more source
In-Context Learning for Seismic Data Processing
Seismic processing transforms raw data into subsurface images essential for geophysical applications. Traditional methods face challenges, such as noisy data, and manual parameter tuning, among others. Recently deep learning approaches have proposed alternative solutions to some of these problems. However, important challenges of existing deep learning
Fabian Fuchs +3 more
openaire +2 more sources
VALIDATING THE CANADIAN SEISMIC RISK MODEL [PDF]
openCanada faces a scarcity of impactful earthquakes that can be used to validate seismic risk models, as the last significant damaging earthquakes occurred in the 1980s (Hobbs, Journeay, and Rotheram 2021).
ASADI SHEKAFTI, SOMAYEH
core
Seismic soil-structure interaction for pile supported systems
Civil engineering structures involve structural elements with direct contact with ground. When the external actions, such as earthquakes, act on these systems, neither the structural displacements nor the ground displacements, are independent of each ...
Di Laora, Raffaele
core
STRUCTURAL PERFORMANCE ASSESSMENT OF EXISTING BRIDGES IN SEISMIC PRONE AREAS
For the issue of planning construction areas in order of the prevention and mitigation of seismic risk, in addition to emergency management, the scientific community has for decades studies the identification of tools and methodologies for seismic ...
Mancini, Mariella
core

