Results 131 to 140 of about 1,753,793 (305)

Upper bound limit analysis of coral reef limestone cavern roof stability incorporating a tension‐shear failure mechanism with tensile‐strength cut‐off

open access: yesDeep Underground Science and Engineering, EarlyView.
For the roof of coral reef limestone caverns, a novel tension‐shear composite failure mechanism was developed. The most critical tensile crack model was identified using a hybrid optimization algorithm, and the stability of the cavern roof was analyzed accordingly.
Dongsheng Xu, Chenxu Li, Chuantan Hou
wiley   +1 more source

Economic loss estimation for earthquake hazard in Istanbul [PDF]

open access: yes
Natural hazards, especially earthquakes, cause disasters when they hit large settlements such as metropolitan areas. After the first shock, the damage is counted by deaths and injuries.
Seda Kundak
core  

Seismic images of the megathrust rupture during the 25th October 2010 Pagai earthquake, SW Sumatra: Frontal rupture and large tsunami [PDF]

open access: yes
The Mentawai segment of the Sumatra subduction zone is locked and likely to produce a large earthquake in the near future. A part of this locked zone ruptured on 12 September 2007 producing twin earthquakes of Mw = 8.5 and 7.9.
Harjono, Heri   +5 more
core   +1 more source

Fluid‐induced slip on a rate‐and‐state fault during co‐ and post‐injection: The interplay of fluid pressure diffusion and poroelastic stress

open access: yesDeep Underground Science and Engineering, EarlyView.
Fault slip can occur ahead of the injection pressure front due to poroelastic stress. Our model captures the interaction of pressure, stress, and friction, providing new insights into injection‐induced seismicity and post‐injection fault slip. Shut‐in operations can either mitigate or accelerate seismic events depending on fault conditions and ...
Qifeng Xie, Lei Wang, Qi Li
wiley   +1 more source

Uniaxial compressive strength prediction and ratio parameter optimization of titanium tailings composite backfill materials using intelligent hybrid models

open access: yesDeep Underground Science and Engineering, EarlyView.
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

New directions in real-time earthquake characterization and early warning damage prediction at different scales

open access: yes, 2014
New directions in real-time earthquake characterization and early warning damage prediction at different ...
Martino, C.   +10 more
core  

Numerical simulation study on the characteristics and propagation attenuation of vibration signals in freezing pipe fracture

open access: yesDeep Underground Science and Engineering, EarlyView.
This research study employs analysis system (ANSYS) fluid–structure interaction simulations to investigate the generation and attenuation of vibration signals resulting from freezing pipe fractures in artificial ground freezing projects. By evaluating key variables—including frozen soil elastic modulus, brine inlet pressure, and external pipe pressure ...
Yi Cao, Yansen Wang, En Chen, Meng Zhao
wiley   +1 more source

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

open access: yesDeep 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   +4 more
wiley   +1 more source

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

open access: yesDeep 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

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