Experimental and theoretical study of particle dispersion in a swirling, particle-laden, reacting turbulent flow

Shirolkar, J.S.; Queiroz, M.

doi:10.1016/0894-1777(93)90217-7

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Particle Dispersion Modeling1

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1996

2021

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Cited by 3 publications

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“…Also a Schmidt number of 0.35, which is known to give reasonable results when used in PCGC-2 (Fletcher, 1983), was used for all simulations. Further details of these simulation parameters (grid -size, number of initial particle sizes, and Schmidt number) can be found in Shirolkar (1992).…”

Section: Particle Dispersion Modelingmentioning

confidence: 99%

Particulate behavior in a controlled-profile pulverized coal-fired reactor: A study of coupled turbulent particle dispersion and thermal radiation transport. Final technical progress report

Queiroz¹,

Webb²

1996

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Section: Particle Dispersion Modelingmentioning

confidence: 99%

Particulate behavior in a controlled-profile pulverized coal-fired reactor: A study of coupled turbulent particle dispersion and thermal radiation transport. Final technical progress report

Queiroz¹,

Webb²

1996

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Experimental measurements in the BYU controlled profile reactor

Tree

Black

Rigby

et al. 1998

Progress in Energy and Combustion Science

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Modelling of Seismic Liquefaction Using Classification Techniques

Mehta

Kumar

Singh

et al. 2021

International Journal of Geotechnical Earthquake Engineering

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Liquefaction susceptibility of soil is a complex problem due to non-linear behaviour of soil and its physical attributes. The assessment of liquefaction potential is commonly assessed by the in-situ testing methods. The classification problem of liquefaction is non-linear in nature and difficult to model considering all independent variables (seismic and soil properties) using traditional techniques. In this study, four different classification techniques, namely Fast k-NN (F-kNN), Naïve Bayes Classifier (NBC), Decision Forest Classifier (DFC), and Group Method of Data Handling (GMDH), were used. The SPT-based case record was used to train and validate the models. The performance of these models was assessed using different indexes, namely sensitivity, specificity, type-I error, type-II error, and accuracy rate. Additionally, receiver operating characteristic (ROC) curve were plotted for comparative study. The results show that the F-kNN models perform far better than other models and can be used as a reliable technique for analysis of liquefaction susceptibility of soil.

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Experimental and theoretical study of particle dispersion in a swirling, particle-laden, reacting turbulent flow

Cited by 3 publications

References 0 publications

Particulate behavior in a controlled-profile pulverized coal-fired reactor: A study of coupled turbulent particle dispersion and thermal radiation transport. Final technical progress report

Particulate behavior in a controlled-profile pulverized coal-fired reactor: A study of coupled turbulent particle dispersion and thermal radiation transport. Final technical progress report

Experimental measurements in the BYU controlled profile reactor

Modelling of Seismic Liquefaction Using Classification Techniques

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