Predictive modeling the free hydraulic jumps pressure through advanced statistical methods
dc.contributor.author | Mousavi, Seyed Nasrollah | pt_BR |
dc.contributor.author | Teixeira, Eder Daniel | pt_BR |
dc.contributor.author | Steinke Júnior, Renato | pt_BR |
dc.contributor.author | Bocchiola, Daniele | pt_BR |
dc.contributor.author | Nabipour, Narjes | pt_BR |
dc.contributor.author | Mosavi, Amir | pt_BR |
dc.contributor.author | Shamshirband, Shahabodin | pt_BR |
dc.date.accessioned | 2021-01-08T04:06:48Z | pt_BR |
dc.date.issued | 2020 | pt_BR |
dc.identifier.issn | 2227-7390 | pt_BR |
dc.identifier.uri | http://hdl.handle.net/10183/217152 | pt_BR |
dc.description.abstract | Pressure fluctuations beneath hydraulic jumps potentially endanger the stability of stilling basins. This paper deals with the mathematical modeling of the results of laboratory-scale experiments to estimate the extreme pressures. Experiments were carried out on a smooth stilling basin underneath free hydraulic jumps downstream of an Ogee spillway. From the probability distribution of measured instantaneous pressures, pressures with different probabilities could be determined. It was verified that maximum pressure fluctuations, and the negative pressures, are located at the positions near the spillway toe. Also, minimum pressure fluctuations are located at the downstream of hydraulic jumps. It was possible to assess the cumulative curves of pressure data related to the characteristic points along the basin, and different Froude numbers. To benchmark the results, the dimensionless forms of statistical parameters include mean pressures (P*m), the standard deviations of pressure fluctuations (_*X), pressures with different non-exceedance probabilities (P*k%), and the statistical coefficient of the probability distribution (Nk%) were assessed. It was found that an existing method can be used to interpret the present data, and pressure distribution in similar conditions, by using a new second-order fractional relationships for _*X, and Nk%. The values of the Nk% coefficient indicated a single mean value for each probability. | en |
dc.format.mimetype | application/pdf | pt_BR |
dc.language.iso | eng | pt_BR |
dc.relation.ispartof | Mathematics. Basel: MDPI. Vol. 8, n. 3 (mar. 2020), 323, 16 p. | pt_BR |
dc.rights | Open Access | en |
dc.subject | Ressalto hidraulico | pt_BR |
dc.subject | Mathematical modeling | en |
dc.subject | Modelagem matemática | pt_BR |
dc.subject | Extreme pressure | en |
dc.subject | Hydraulic jump | en |
dc.subject | Flutuações de pressão | pt_BR |
dc.subject | Modelos físicos | pt_BR |
dc.subject | Stilling basin | en |
dc.subject | Vertedouro | pt_BR |
dc.subject | Deviation of pressure fluctuations | en |
dc.subject | Distribuicao de probabilidades | pt_BR |
dc.subject | Statistical coefficient of the probability distribution | en |
dc.title | Predictive modeling the free hydraulic jumps pressure through advanced statistical methods | pt_BR |
dc.type | Artigo de periódico | pt_BR |
dc.identifier.nrb | 001115119 | pt_BR |
dc.type.origin | Estrangeiro | pt_BR |
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