Results 141 to 150 of about 7,254 (288)

Geological geophysical and seismological investigations for earthquake hazard estimation in western Crete

, 2009
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.The purpose of the thesis is the determination of potentially seismic active sources and of the dynamic response evaluation of surface and subsurface ...
Moisidi, Margarita
core  

Slow Slip Events in New Zealand: Irregular, yet Predictable? [PDF]

Current earthquake forecasting approaches are mainly based on probabilistic assumptions, as earthquakes seem to occur randomly. Such apparent randomness can however be caused by deterministic chaos, rendering deterministic short‐term forecasts possible ...
Veveakis, M., T. Poulet, Wallace, L., M. Herwegh, Truttmann, S., Poulet, T., S. Truttmann, L. Wallace, M. Veveakis, Herwegh, M., Wallace, Laura   +10 more
core   +1 more source

Investigation on tunnel stability considering pipe‐roof support with transparent soil technology

Deep Underground Science and Engineering, EarlyView.
This study integrates transparent soil technology, 3D reconstruction and numerical simulation to captures the full‐field deformation of shield tunnel instability. Results demonstrate that pipe‐roof support enhances stability via the “soil‐arching barrier effect,” effectively restraining failure wedge development by extending stress transfer paths ...
Zhi Jia, Yunpeng Ji, Zhao Lu, Honghua Zhao, Limin Zhang   +4 more
wiley   +1 more source

SLOW EARTHQUAKES IN CENTRAL ITALY

, 2002
[1] Slow earthquakes and afterslips prove that the Earth does not have just two response time scales, i.e. that of tectonic loading and that of regular earthquakes. A swarm of slow earthquakes, with time constants of the order of hundreds of seconds, has been detected by a laser interferometer below the Gran Sasso massif (Italy).
Andrea Morelli, Antonella Amoruso, Luca Crescentini, Roberto Scarpa   +3 more
openaire   +1 more source

Probabilistic prediction of rate‐dependent rock strength using natural gradient boosting and Gaussian process regression

Deep Underground Science and Engineering, EarlyView.
Probabilistic natural gradient boosting and Gaussian process regression models accurately predict rate‐dependent rock strength across lithologies. Static strength and strain rate dominate, while geometric factors have minimal influence, enabling interpretable and uncertainty‐aware predictions for dynamic geomechanical applications. Abstract The dynamic
Hadi Fathipour‐Azar
wiley   +1 more source

Observational Evidence of a Very‐Low‐Frequency Earthquake (Mw 3.8) Leading to an Earthquake (Mw 4.2): Minto Flats Strike‐Slip Fault Zone, Central Alaska

Geophysical Research Letters
The physical conditions governing earthquake initiation are largely unknown, particularly in the minutes to seconds preceding rupture. While there is geodetic and seismic evidence of precursory activity in the hours to weeks prior to large earthquakes ...
A. M. McPherson, C. Tape, Y. Kaneko
doaj   +1 more source

Rock mechanical properties under reconstructed deep in situ thermo–hydro–mechanical conditions: Implications for CO₂‐related injection scenarios

Deep Underground Science and Engineering, EarlyView.
The graphical abstract illustrates a reconstructed in situ thermo‐hydro‐mechanical (THM) framework in which porosity serves as the central variable linking stress, pore pressure, and temperature to evolving mechanical properties of rocks. Under burial conditions, in situ stress, pore pressure, and temperature jointly govern volumetric strain and ...
Mingyuan Lu, Jun Wang, Zixiong Qi, Ruixuan Chen, Hongtao Wang, Hongwei Zhou   +5 more
wiley   +1 more source

Corrigendum: Precise Monitoring of Pore Pressure at Boreholes Around Nankai Trough Toward Early Detecting Crustal Deformation

Frontiers in Earth Science, 2021
Keisuke Ariyoshi, Toshinori Kimura, Yasumasa Miyazawa, Sergey Varlamov, Takeshi Iinuma, Akira Nagano, Joan Gomberg, Joan Gomberg, Eiichiro Araki, Toru Miyama, Kentaro Sueki, Shuichiro Yada, Takane Hori, Narumi Takahashi, Shuichi Kodaira   +14 more
doaj   +1 more source

Explainable hybrid stacking ensemble method for hard rock pillar stability prediction and engineering applications

Deep Underground Science and Engineering, EarlyView.
This research proposes an interpretable hybrid stacking ensemble framework, optimized by the Sparrow Search Algorithm, to enhance hard rock pillar stability prediction. By integrating six machine learning models—k‐nearest neighbors, support vector machines, random forests, Gradient Boosting Decision Tree, eXtreme Gradient Boosting, and Light Gradient ...
Ning Wang, Guoyan Zhao, Meng Wang, Taraka Pattela   +3 more
wiley   +1 more source

The dynamics of reactivated landslides: Utiku and Taihape, North Island, New Zealand [PDF]

, 2010
The primary aim of this research was to study the relationship between landslide motion and its causes, with reference to large, slow moving, reactivated translational rock slides.
Massey, Christopher Ian, MASSEY, CHRISTOPHER,IAN   +1 more
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