Results 161 to 170 of about 99,938 (301)

Earthquake Motion and Ground Conditions

open access: yesEarthquake Motion and Ground Conditions
identifier:oai:t2r2.star.titech.ac.jp ...
openaire  

Study on the Influence of Slope Static Load on Shallow Lining Support Structure

open access: yesEnergy Science &Engineering, EarlyView.
On the basis of the background of the shallow‐buried main adit supported by stone lining, the mechanical model of the supporting structure is constructed, and the stability of the supporting structure is analyzed by using the methods of field investigation, theoretical analysis, and numerical simulation.
Hongwei Wang   +3 more
wiley   +1 more source

Discussion of Paper by Chin, Cheng, Lepage, and Lequesne

open access: yes
Earthquake Engineering &Structural Dynamics, EarlyView.
Prateek Shah   +3 more
wiley   +1 more source

Multifactorial Screening for Fine‐Scale Selection of CCS Industrial Clusters and Hubs in Brazil

open access: yesGreenhouse Gases: Science and Technology, EarlyView.
ABSTRACT As Brazil moves toward implementing its decarbonization commitments, carbon capture and storage (CCS) hubs are emerging as a key pathway for large‐scale CO2 abatement in hard‐to‐abate sectors. This paper presents a multifactorial, data‐driven framework to screen and prioritize potential CCS industrial clusters and hubs across Brazilian regions,
Gustavo P. Oliveira   +5 more
wiley   +1 more source

Evidence From Microscopy and U–Pb Geochronology as a Clue to the Influence of the Cretaceous Magmatism in the Diagenesis of Pre‐Salt Carbonate Reservoirs in the Santos Basin (Brazil)

open access: yesGeological Journal, EarlyView.
Carbonates from Santos Basin revealed U–Pb ages correlated with basalt ages (A), suggesting that they were formed during magmatic events. These events placed hot CO2 in the reservoir, which, when mixed with carbonate‐rich cold water (B), led to thermal convection, enabling the formation of the U contained in the carbonates.
Marco António Ruivo de Castro e Brito   +8 more
wiley   +1 more source

Machine learning for prompt estimation of macroseismic intensity from seismometric data in Italy. [PDF]

open access: yesSci Rep
Patelli L   +6 more
europepmc   +1 more source

Home - About - Disclaimer - Privacy