Results 91 to 100 of about 123,387 (338)

A Numerical Study of the Flow Interference between Two Circular Cylinders in Tandem by Scale-Adaptive Simulation Model

open access: yesJournal of Applied Fluid Mechanics, 2020
Unsteady simulations of the flow around two cylinders arranged in tandem are carried out using Scale-Adaptive Simulation (SAS) turbulence model for high subcritical Reynolds number (Re=2×〖10〗^5).
M. Grioni, S. A. Elaskar, A. E. Mirasso
doaj  

Nanoseismic monitoring for detection of rockfalls. Experiments in quarry areas [PDF]

open access: yes, 2018
Le frane per crollo da ammassi rocciosi fratturati sono tra i processi di instabilità gravitativa che più frequentemente interessano opere antropiche quali tagli su versanti naturali o artificiali, pareti di cava, trincee stradali, autostradali o ...
Fiorucci, M.   +4 more
core   +1 more source

Review of artificial intelligence applications in geothermal energy extraction from hot dry rock

open access: yesDeep Underground Science and Engineering, EarlyView.
This paper systematically summarized the applications of artificial intelligence (AI) in hot dry rock (HDR) geothermal exploitation and discussed the limitations and opportunities. A novel intelligent HDR exploitation system was proposed to promote the development of HDR toward more efficiency, economy, and intelligence.
Kun Ji   +5 more
wiley   +1 more source

Seismic vulnerability assessment of the old city centre of Seixal, Portugal [PDF]

open access: yes, 2012
The seismic vulnerability assessment of old traditional masonry building stocks, in a seismic risk mitigation perspective, is truly essential not only for buildings with recognized historical and patrimonial value, but also, in relation to regular ...
Costa, A.   +4 more
core   +1 more source

Preventive planning model for rescue priority management in seismic emergency [PDF]

open access: yes, 2018
Natural materials, such as soils, are influenced by many factors acting during their formative and evolutionary process: atmospheric agents, erosion and transport phenomena, sedimentation conditions that give soil properties a non-reducible randomness by
Cardarilli, Monica   +2 more
core   +1 more source

Geological and geotechnical challenges on the Great Dyke of Zimbabwe and their impact on hardrock pillar design

open access: yesDeep Underground Science and Engineering, EarlyView.
The Great Dyke of Zimbabwe is notable for its rich platinum group metal deposits but poses significant geological and geotechnical challenges due to its complex rock types and structural features. Traditional pillar design methods are insufficient for addressing these complexities; the study suggests incorporating advanced techniques such as machine ...
Tawanda Zvarivadza   +3 more
wiley   +1 more source

Nationwide Earthquake Risk Model for Wood-Frame Houses in Canada

open access: yesFrontiers in Built Environment, 2019
Quantitative seismic risk assessments involve hazard characterization, exposure database, vulnerability assessment, and uncertainty modeling, and promote consistent risk management actions, when conducted systematically across a country.
Katsuichiro Goda, Katsuichiro Goda
doaj   +1 more source

Probabilistic seismic risk assessment using CRISIS2015 & USERISK2015. Application to buildings of Barcelona, Spain. [PDF]

open access: yes, 2015
The probabilistic models to assess seismic hazard and seismic risk incorporated into the codes CRISIS2015 & USERISK2015, respectively, are applied to compute the seismic risk of buildings of Barcelona.
Aguilar, Armando   +9 more
core  

Gels for CO2 geo‐storage and conformance control: A systemic review of behavior and performance

open access: yesDeep Underground Science and Engineering, EarlyView.
This review provides a systemic evaluation of potential sealants used in CO2 subsurface storage practices. Critical analyses of how external factors like CO2, pH, brine salinity and hardness, rock mineralogy, pressure, temperature, and injectivity could affect the performance of different sealants are provided. Abstract Carbon capture and storage (CCS)
Funsho Afolabi   +6 more
wiley   +1 more source

An Explainable Machine Learning Model for Predicting Macroseismic Intensity for Emergency Management

open access: yesRemote Sensing
Predicting macroseismic intensity from instrumental ground motion parameters remains a complex task due to the nonlinear relationship with observed damage patterns.
Federico Mori, Giuseppe Naso
doaj   +1 more source

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