2020
DOI: 10.5004/dwt.2020.24938
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Evolutionary prediction of multiple vertical buoyant jets in stationary ambient water

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Cited by 7 publications
(4 citation statements)
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“…Third, applying the previous models to complicated practical cases is not feasible. Although Yan and Mohammadian [18][19][20] have demonstrated the capability of the multi- The downward-inclined buoyant jets behaved like reversed upward-inclined dense jets. In the initial dilution region where the jets were falling, the vertical velocities of the jets decreased because of the buoyancy effects and momentum transfer between the fluids.…”
Section: Discussionmentioning
confidence: 99%
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“…Third, applying the previous models to complicated practical cases is not feasible. Although Yan and Mohammadian [18][19][20] have demonstrated the capability of the multi- The downward-inclined buoyant jets behaved like reversed upward-inclined dense jets. In the initial dilution region where the jets were falling, the vertical velocities of the jets decreased because of the buoyancy effects and momentum transfer between the fluids.…”
Section: Discussionmentioning
confidence: 99%
“…Third, applying the previous models to complicated practical cases is not feasible. Although Yan and Mohammadian [18][19][20] have demonstrated the capability of the multi-gene genetic programming approach for wastewater jets, numerical simulations are still necessary to provide reliable data for model training and validation. It should be noted that the AI-based models may provide comparable or even better predictions than numerical models within the range of the training data, but their predictions out of the training range should be used with caution.…”
Section: Discussionmentioning
confidence: 99%
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“…Artificial intelligence (AI) techniques have recently shown great potential for modeling and solving complex nonlinear water and marine engineering problems [128][129][130][131][132][133][134][135][136]. Thus, extensive and promising datasets obtained from experimental and CFD research efforts on buoyant JICFs can be employed in future AI studies.…”
mentioning
confidence: 99%