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Published in 2018 at "Geotechnical and Geological Engineering"
DOI: 10.1007/s10706-018-00758-0
Abstract: Squeezing as a large time-dependent deformation can result in irreparable damages for tunneling projects. The accurate prediction of this phenomenon in preliminary stages of tunneling projects has a remarkable role on reducing its destructive effects.…
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Keywords:
logistic regression;
squeezing prediction;
empirical correlations;
binary logistic ... See more keywords
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Published in 2020 at "Arabian Journal of Geosciences"
DOI: 10.1007/s12517-020-06228-3
Abstract: Consolidation settlement tests are costly and time-consuming, whereas tests for determining soil physical properties can be performed very rapidly and at lower costs. Therefore, it will be very helpful if the soil compression index (CC)…
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Keywords:
neural network;
artificial neural;
physical properties;
empirical correlations ... See more keywords
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Published in 2020 at "Colloids and Surfaces A: Physicochemical and Engineering Aspects"
DOI: 10.1016/j.colsurfa.2020.124774
Abstract: Abstract To decrease the unwanted water and increase oil, the influences of factors such as matching coefficient (the ratio of particle size to pore throat size), particle elasticity, seepage velocity, and particle concentration on migration…
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Keywords:
empirical correlations;
seepage velocity;
particle;
concentration ... See more keywords
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Published in 2020 at "Renewable Energy"
DOI: 10.1016/j.renene.2020.02.087
Abstract: Abstract From the perspective of renewability and environmental pollution, biodiesels are appropriate alternatives to conventional diesel fuels due to their proper combustion behavior and atomization characteristics, which can be influenced by the viscosity as an…
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Keywords:
viscosity biodiesel;
biodiesel blends;
viscosity;
biodiesel ... See more keywords
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Published in 2021 at "Journal of Fluid Mechanics"
DOI: 10.1017/jfm.2021.1041
Abstract: Abstract Recent developments in neural networks have shown the potential of estimating drag on irregular rough surfaces. Nevertheless, the difficulty of obtaining a large high-fidelity dataset to train neural networks is deterring their use in…
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Keywords:
empirical correlations;
neural networks;
learning empirical;
rough surfaces ... See more keywords
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Published in 2021 at "Energies"
DOI: 10.3390/en14175415
Abstract: A number of empirical correlations have been achieved between the hydraulic properties measured through geoelectrical methods and water well data of Arak Aquifer located in Markazi province, Iran. The geoelectrical method of Vertical Electrical Sounding…
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Keywords:
water well;
water;
empirical correlations;
geoelectrical methods ... See more keywords