Results 91 to 100 of about 107,777 (298)

Finite-Frequency SKS Splitting: Measurement and Sensitivity Kernels [PDF]

, 2008
Splitting of SKS waves caused by anisotropy may be analyzed by measuring the splitting intensity, i.e., the amplitude of the transverse signal relative to the radial signal in the SKS time window. This quantity is simply related to structural parameters.
Paulssen, Hanneke, Sieminski, Anne, Trampert, Jeannot, Tromp, Jeroen   +3 more
core   +1 more source

Evaluation of Modeling Assumptions for Predicting Structural Damage and Train Derailment Under Earthquake Loading

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT The rapid development of new railway networks and the aging of existing infrastructure in seismic‐prone regions continue to motivate the need for efficient methods to simulate the dynamic behavior of coupled train track structure systems. While detailed train–structure interaction (TSI) models can capture complex mechanisms, they are often too
Miguel A. Gomez, Matthew J. DeJong
wiley   +1 more source

Influence of vibrations on structures [PDF]

, 2018
One type of occasional structural load is a seismic load. Earthquakes and blasts are typical sources of vibrations, but vibration generated during urban tunnel construction can represent a significant problem.
Kaláb, Zdeněk
core  

Numerical analysis of seismic wave amplification in Nice (France) and comparisons with experiments [PDF]

, 2000
The analysis of site effects is very important since the amplification of seismic motion in some specific areas can be very strong. In this paper, the site considered is located in the centre of Nice on the French Riviera.
A.-M Duval, Anandarajah, Bard, Belytschko, Beskos, Bisch, Bonnet, Bouchon, Bour, Bourbié, Chávez-Garcı́a, Dangla, Faccioli, Hardin, Humbert, J.-F Semblat, Joly, Moeen-Vaziri, P Dangla, Pecker, Pedersen, Raptakis, Semblat, Semblat, Semblat, Semblat, Semblat, Theodulidis, Wolf   +28 more
core   +5 more sources

A Multivariate Mixed‐Effects Regression Framework for Ground Motion Modeling: Integrating Parametric and Machine Learning Approaches

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Multivariate ground motion models (GMMs) that capture the correlation between different intensity measures (IMs) are essential for seismic risk assessment. Conventional GMMs are often developed using a two‐stage approach, where separate univariate models with predefined functional forms are fitted first, and correlation is addressed in a ...
Sayed Mohammad Sajad Hussaini, Shaghayegh Karimzadeh, Paulo B. Lourenço   +2 more
wiley   +1 more source

Machine Learning‐Driven Classification and Production Capacity Prediction of Tight Sandstone Reservoirs: A Case Study of the Taiyuan Formation, Ordos Basin

Energy Science &Engineering, EarlyView.
On the basis of core and log data, a Bayesian‐Optimized Random Forest model achieved 92.76% accuracy in classifying tight sandstone reservoirs. A gray relational analysis‐derived evaluation index shows > 80% consistency with actual gas zones. ABSTRACT Tight sandstone gas (TSG), an unconventional oil–gas resource, has heterogeneous reservoirs ...
Yin Yuan, Haijiao Fu, Detian Yan, Gang Wang, Shuguang Yang, Mengmeng Liu, Qingling Jiang, Xiaoming Wang, Wei Wang   +8 more
wiley   +1 more source

Seismic Wave Detectability on Venus Using Ground Deformation Sensors, Infrasound Sensors on Balloons and Airglow Imagers

Earth and Space Science
The relatively unconstrained internal structure of Venus is a missing piece in our understanding of the formation and evolution of the Solar System. Detection of seismic waves generated by venusquakes is crucial to determine the seismic structure of ...
Raphael F. Garcia, Iris vanZelst, Taichi Kawamura, Sven Peter Näsholm, Anna Horleston, Sara Klaasen, Maxence Lefèvre, Celine Marie Solberg, Krystyna T. Smolinski, Ana‐Catalina Plesa, Quentin Brissaud, Julia S. Maia, Simon C. Stähler, Philippe Lognonné, Mark P. Panning, Anna Gülcher, Richard Ghail, Barbara DeToffoli   +17 more
doaj   +1 more source

Extraction of Tsunami Signals from Coupled Seismic and Tsunami Waves

Journal of Marine Science and Engineering
The generation of an earthquake and a tsunami is a coupled process of radiating seismic waves and exciting tsunamis, and the two types of waves are simultaneously recorded by ocean-bottom pressure sensors.
Linjian Song, Chao An
doaj   +1 more source

Green's functions for far-side seismic images: a polar expansion approach [PDF]

, 2010
We have computed seismic images of magnetic activity on the far surface of the Sun by using a seismic-holography technique. As in previous works, the method is based on the comparison of waves going in and out of a particular point in the Sun but we have
Braun, Braun, Christensen-Dalsgaard, F. Pérez Hernández, Gizon, González Hernández, Gough, I. González Hernández, Lindsey, Lindsey, Lindsey, Zhao   +11 more
core   +1 more source

Coupled Fluid–Structure–Acoustic Analysis of Flow‐Induced Noise Control Using an Elastic Baffle in a Micro Channel

Energy Science &Engineering, EarlyView.
This research explores how fluid flow, structural movement, and sound interact in an elastic baffle system. Using a numerical approach based on the finite element method, the study analyzes how noise and vibrations change with different baffle configurations. The findings reveal that shortening the baffle by half reduces noise transmission by 9%, while
Tohid Adibi, Seyed Esmail Razavi, Shams Forruque Ahmed, Khashayar Fardnia, Aydin Qheydarpoor, Hammad Alotaibi   +5 more
wiley   +1 more source