Results 191 to 200 of about 475,821 (284)

Resonance‐induced restoration of rock permeability degraded by heavy components of crude oil

open access: yesDeep Underground Science and Engineering, EarlyView.
Resonance‐induced changes occur in filtration properties of sedimentary rocks in crude paraffin oil flow under acoustic vibrations. Experimental data on (a) pressure drop; (b) permeability; (c) pressure at the rock inlet; and (d) pressure at the rock outlet are presented.
Evgenii Riabokon   +6 more
wiley   +1 more source

The Prevention of Eating Disorders in Australian Adolescents: A Modeled Cost‐Effectiveness Study

open access: yesInternational Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Prevention programs for eating disorders (EDs) have the potential to reduce the onset of these diseases and improve the mental health and well‐being of the general population. However, there is mixed evidence on whether routine implementation of such programs at the population level is cost‐effective.
Long Khanh‐Dao Le   +5 more
wiley   +1 more source

Nonlinear Response‐History Analyses of Masonry and Mixed Structures With HybriDFEM

open access: yesEarthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT The hybrid discrete‐finite element (HybriDFEM) method, previously developed to perform static and modal analysis in discrete and coupled discrete‐finite element models, is extended to nonlinear response‐history analyses. The equations of motion for the HybriDFEM model are solved through various numerical time‐integration schemes, both explicit
Igor Bouckaert   +2 more
wiley   +1 more source

A Multivariate Mixed‐Effects Regression Framework for Ground Motion Modeling: Integrating Parametric and Machine Learning Approaches

open access: yesEarthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Multivariate ground motion models (GMMs) that capture the correlation between different intensity measures (IMs) are essential for seismic risk assessment. Conventional GMMs are often developed using a two‐stage approach, where separate univariate models with predefined functional forms are fitted first, and correlation is addressed in a ...
Sayed Mohammad Sajad Hussaini   +2 more
wiley   +1 more source

Research on Deformation Prediction of Small Interval Tunnel Based on Machine Learning and Numerical Simulation

open access: yesEnergy Science &Engineering, EarlyView.
This study leverages machine learning algorithms—specifically artificial neural networks (ANN) and genetic programming (GP)—to forecast and analyze variations in vault settlement measurements during excavation of small interval tunnel. A settlement prediction model was developed and validated through comparative analysis with regression to evaluate the
Wenjie Zhai   +7 more
wiley   +1 more source

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