Results 61 to 70 of about 2,183,650 (313)

Gaborlet‐guided sparse filtering: A novel intelligent method for lithology identification by vibration signals while drilling

Deep Underground Science and Engineering, EarlyView.
The flowchart illustrates rock specimen testing, vibration signal acquisition, and feature extraction with Gaborlet and sparse filtering for classification. Abstract Traditional lithology identification methods mainly rely on core sampling and well‐logging data.
Jian Hao, Danqi Zhang, Zhenqi Song, Jinrui Wang, Qi Wang, Heqing Liu   +5 more
wiley   +1 more source

Dynamic features of “Petrozavodsk” seismic station

Transactions of the Karelian Research Centre of the Russian Academy of Sciences, 2016
The paper is devoted to the estimability and recordability of seismic events, namely the research of the noise power spectral density (PSD) and its diurnal variation around “Petrozavodsk” seismic station (PTRZ), located within the Onega structure of the ...
Александр Валерьевич Климовский, Вера Александровна Мещерякова, Артем Анатольевич Лебедев, Alexandr Klimovskii, Vera Meshcheryakova, Artem Lebedev   +5 more
doaj   +1 more source

Research progress and current status of dynamic wave propagation characteristics in rock mass: A review

Deep Underground Science and Engineering, EarlyView.
This review elucidates the velocity–dispersion–attenuation coupling mechanisms of wave propagation in rock masses, compares six representative models, and reveals how pressure, temperature, mineral composition, and anisotropy jointly control dynamic responses in complex geological media.
Jiajun Shu, Tao Li, Ruiqi Yuan, Yue Li, Bingni Wu, Bo Liu, Zhengding Deng, Galindo Rubén, Fausto Molina‐Gómez   +8 more
wiley   +1 more source

Pre-failure behaviour of an unstable limestone cliff from displacement and seismic data [PDF]

Natural Hazards and Earth System Sciences, 2010
We monitored the displacement and seismic activity of an unstable vertical rock slice in a natural limestone cliff of the southeast Vercors massif, southeast France, during the months preceding its collapse.
J.-L. Got, P. Mourot, J. Grangeon
doaj   +1 more source

Review of progress in passive seismic reflection exploration

地球与行星物理论评, 2023
Seismic exploration is a key method for the study of underground structures. Active seismic surveys can acquire high signal-to-noise ratio reflection data; however, the operation of active seismic surveys is complicated, and the exploration cost is high.
Xiaomin Ruan, Mingchun Chen, Zhendong Liu, Zhihui Wang, Zhiwu Xu, Miao Chen, Xingang Zhang   +6 more
doaj   +1 more source

Expected Seismicity and the Seismic Noise Environment of Europa [PDF]

Journal of Geophysical Research: Planets, 2018
AbstractSeismic data will be a vital geophysical constraint on internal structure of Europa if we land instruments on the surface. Quantifying expected seismic activity on Europa both in terms of large, recognizable signals and ambient background noise is important for understanding dynamics of the moon, as well as interpretation of potential future ...
Mark P. Panning, Simon C. Stähler, Hsin‐Hua Huang, Steven D. Vance, Sharon Kedar, Victor C. Tsai, William T. Pike, Ralph D. Lorenz   +7 more
openaire   +3 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

An Unsupervised Learning Method for Suppressing Ground Roll in Deep Pre-Stack Seismic Data Based on Wavelet Prior Information for Deep Learning in Seismic Data

Applied Sciences
Ground roll noise suppression is a crucial step in processing deep pre-stack seismic data. Recently, supervised deep learning methods have gained popularity in this field due to their ability to adaptively learn and extract powerful features.
Jiarui Xia, Yongshou Dai
doaj   +1 more source

Analysis of ballistic waves in seismic noise monitoring of water table variations in a water field site: added value from numerical modelling to data understanding

Geophysical Journal International, 2019
Passive seismic interferometry allows to track continuously the weak seismic velocity changes in any medium by correlating the ambient seismic noise between two points to reconstruct the Green’s function.
S. Garambois, C. Voisin, M. A. Romero Guzman, D. Brito, B. Guillier, A. Réfloch   +5 more
semanticscholar   +1 more source

Finite Element Modelling of Rocking and Hybrid Precast Walls under Seismic Loading

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT In recent years, self‐centring systems have received considerable research interest in the seismic design of precast concrete structures for their ability to limit damage and satisfy resilience requirements. Rocking and hybrid structural walls, characterised by the formation of a single gap at the wall–foundation interface, mitigate damage by ...
Andrea Belleri, Michele E. Bressanelli, Simone Labò, Jose I. Restrepo   +3 more
wiley   +1 more source