Results 181 to 190 of about 33,629 (316)
Based on the 90 datasets, ERT and four optimization algorithms were used to build four hybrid models to predict the UCS of the backfill body. The SMA‐ERT model was the most effective model, and it can reliably guide the design of the backfill ratio parameters. Abstract This study analyzed the feasibility of using titanium (Ti) tailings as a backfilling
Weijun Liu, Zida Liu, Zhixiang Liu
wiley +1 more source
Profiling Long-Distance Urban Near-Surface Structures with Temporary Fiber-Optic Sensing in Jinan City, China. [PDF]
Chang L +6 more
europepmc +1 more source
Pseudotachylytes and Earthquake Source Mechanics
Destructive earthquakes nucleate at depth (10 to 15 km), therefore monitoring active faults at the Earth’s surface, or interpreting seismic waves, yields only limited information on earthquake mechanics.
Di Toro, G. +2 more
core
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
Machine learning-based Bayesian optimization of tuned inerter dampers for enhanced seismic response control in high-rise base-isolated structures. [PDF]
Huang S, Zhu K.
europepmc +1 more source
Lake Sapanca on the North Anatolian Fault zone (NW Turkey) is a pull-apart basin at the junction between the İzmit-Sapanca fault segment, the Sakarya segment and the westernmost end of the Mudurnu Valley fault.
Schwab, MJ, Costa, PJM, Leroy, SAG
core
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 +5 more
wiley +1 more source
Seismological analysis of the tectonic evolution of the Laji Shan fault from the 2023 Jishishan MS 6.2 earthquake. [PDF]
Xie Z.
europepmc +1 more source
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 +3 more
wiley +1 more source
Preparatory phase of large earthquakes illuminated by unsupervised categorization of earthquake catalog features. [PDF]
Karimpouli S +8 more
europepmc +1 more source

