Results 131 to 140 of about 137,368 (329)

Evaluation of the Impact of Incident Wavefield Modeling on Soil‐Structure Interaction of Buildings Using Broadband Physics‐Based 3D Earthquake Simulations

open access: yesEarthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Despite the complexity of real earthquake motions, the incident wavefield excitation for soil‐structure interaction (SSI) analysis is conventionally derived from one‐dimensional site response analysis (1D SRA), resulting in idealized, decoupled vertically incident shear and compressional waves for the horizontal and vertical components of the ...
Junfei Huang, David McCallen
wiley   +1 more source

WaveCastNet: An AI-enabled Wavefield Forecasting Framework for Earthquake Early Warning [PDF]

open access: yesarXiv
Large earthquakes can be destructive and quickly wreak havoc on a landscape. To mitigate immediate threats, early warning systems have been developed to alert residents, emergency responders, and critical infrastructure operators seconds to a minute before seismic waves arrive. These warnings provide time to take precautions and prevent damage.
arxiv  

Performance of Seismically Isolated and Non‐Isolated Steel‐Framed Buildings: Sensitivity to Amount and Form of Inherent Damping

open access: yesEarthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT The amount of inherent damping assumed in nonlinear response history analysis of steel buildings is typically set at 2% or less for the fundamental mode of vibration. However, many studies have shown that actual damping levels vary depending on the building characteristics and soil conditions, and methodologies used in measurements of damping ...
Shoma Kitayama, Michael C. Constantinou
wiley   +1 more source

A Deep Learning Pipeline for Large Earthquake Analysis using High-Rate Global Navigation Satellite System Data [PDF]

open access: yesarXiv
Deep learning techniques for processing large and complex datasets have unlocked new opportunities for fast and reliable earthquake analysis using Global Navigation Satellite System (GNSS) data. This work presents a deep learning model, MagEs, to estimate earthquake magnitudes using data from high-rate GNSS stations.
arxiv  

Performance Assessment of Friction Pendulum Bearings in Bridges via Data Assimilation

open access: yesEarthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Seismic isolation techniques are widely used in regions susceptible to earthquakes. From a long‐term maintenance perspective, it is crucial to develop methodologies for assessing the post‐installation performance of these systems based on monitored data.
Xinhao He   +9 more
wiley   +1 more source

Integrating Fourier Neural Operators with Diffusion Models to improve Spectral Representation of Synthetic Earthquake Ground Motion Response [PDF]

open access: yesarXiv
Nuclear reactor buildings must be designed to withstand the dynamic load induced by strong ground motion earthquakes. For this reason, their structural behavior must be assessed in multiple realistic ground shaking scenarios (e.g., the Maximum Credible Earthquake). However, earthquake catalogs and recorded seismograms may not always be available in the
arxiv  

PROBABILISTIC SCENARIO EARTHQUAKES

open access: yesDoboku Gakkai Ronbunshu, 1997
Hiroyuki Kameda   +3 more
openaire   +3 more sources

Seismic Meta‐Foundations With Imperfect Interfaces

open access: yesEarthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Seismic wave isolation through layered meta‐foundations is an emerging area of research, driven by its intrinsic theoretical significance and potential practical applications. To date, the complexities associated with imperfect interfaces have often been overlooked in the development of analytical frameworks, which tend to prioritize simple ...
Anchen Ni   +3 more
wiley   +1 more source

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