جستجوی مقالات مرتبط با کلیدواژه « dimensional analyze » در نشریات گروه « آب و خاک »

Stilling basin is one of the energy dissipater structures that are used frequently in downstream of hydraulic structures, such as spillways, sluice gates and chutes. The energy dissipation, due to macro-scale turbulence, makes intensive pressure fluctuations so it must be carefully considered when structures are designed. The experiments were carried out in a rectangular flume, 0.3m by 0.4m; and Froude numbers from 3 to 12. The pressure variations data at flume bed and the water level data were recorded by electronic pressure transducer and by piezometers, respectively. The results showed that the intensity of pressure fluctuations in hydraulic jump was related to the Froude number and relative situation from the jump toe. The maximum pressure fluctuation intensity coefficient varied from 0.08 to 0.28 at the distance of 17 to 33 percent of the jump length. The maximum value of was equal to 2 and maximum absolute of coefficient was equal to 1.2 occurred at . Longitude distribution of pressure and its fluctuation and critical values in the length of hydraulic jump also were obtained.

Sluice gates are widely used for flow control and discharge measuring in open channels. Sluice gate discharge coefficient depends on geometric and hydraulic parameters. Using experimental curves to determine discharge coefficient is subjected to error of judgment in reading this graphs. In this study, by using dimensional analysis and linear and nonlinear regression analysis, two equations are developed to determine discharge coefficient, for both free and submerged flow conditions. A total of 5200 data sets involving different effective hydraulic parameters were generated. Also, the results of the some of the preceding studies, performed by different investigators about sluice gate discharge coefficient determination were compared. The nonlinear equation got better results in comparison with the linear equation. All numerical computations in procedure of this study were performed by Wolfram Mathematica v.6 software.Sluice gates are widely used for flow control and discharge measuring in open channels. Sluice gate discharge coefficient depends on geometric and hydraulic parameters. Using experimental curves to determine discharge coefficient is subjected to error of judgment in reading this graphs. In this study, by using dimensional analysis and linear and nonlinear regression analysis, two equations are developed to determine discharge coefficient, for both free and submerged flow conditions. A total of 5200 data sets involving different effective hydraulic parameters were generated. Also, the results of the some of the preceding studies, performed by different investigators about sluice gate discharge coefficient determination were compared. The nonlinear equation got better results in comparison with the linear equation. All numerical computations in procedure of this study were performed by Wolfram Mathematica v.6 software.Sluice gates are widely used for flow control and discharge measuring in open channels. Sluice gate discharge coefficient depends on geometric and hydraulic parameters. Using experimental curves to determine discharge coefficient is subjected to error of judgment in reading this graphs. In this study, by using dimensional analysis and linear and nonlinear regression analysis, two equations are developed to determine discharge coefficient, for both free and submerged flow conditions. A total of 5200 data sets involving different effective hydraulic parameters were generated. Also, the results of the some of the preceding studies, performed by different investigators about sluice gate discharge coefficient determination were compared. The nonlinear equation got better results in comparison with the linear equation. All numerical computations in procedure of this study were performed by Wolfram Mathematica v.6 software.Sluice gates are widely used for flow control and discharge measuring in open channels. Sluice gate discharge coefficient depends on geometric and hydraulic parameters. Using experimental curves to determine discharge coefficient is subjected to error of judgment in reading this graphs. In this study, by using dimensional analysis and linear and nonlinear regression analysis, two equations are developed to determine discharge coefficient, for both free and submerged flow conditions. A total of 5200 data sets involving different effective hydraulic parameters were generated. Also, the results of the some of the preceding studies, performed by different investigators about sluice gate discharge coefficient determination were compared. The nonlinear equation got better results in comparison with the linear equation. All numerical computations in procedure of this study were performed by Wolfram Mathematica v.6 software.Sluice gates are widely used for flow control and discharge measuring in open channels. Sluice gate discharge coefficient depends on geometric and hydraulic parameters. Using experimental curves to determine discharge coefficient is subjected to error of judgment in reading this graphs. In this study, by using dimensional analysis and linear and nonlinear regression analysis, two equations are developed to determine discharge coefficient, for both free and submerged flow conditions. A total of 5200 data sets involving different effective hydraulic parameters were generated. Also, the results of the some of the preceding studies, performed by different investigators about sluice gate discharge coefficient determination were compared. The nonlinear equation got better results in comparison with the linear equation. All numerical computations in procedure of this study were performed by Wolfram Mathematica v.6 software.Sluice gates are widely used for flow control and discharge measuring in open channels. Sluice gate discharge coefficient depends on geometric and hydraulic parameters. Using experimental curves to determine discharge coefficient is subjected to error of judgment in reading this graphs. In this study, by using dimensional analysis and linear and nonlinear regression analysis, two equations are developed to determine discharge coefficient, for both free and submerged flow conditions. A total of 5200 data sets involving different effective hydraulic parameters were generated. Also, the results of the some of the preceding studies, performed by different investigators about sluice gate discharge coefficient determination were compared. The nonlinear equation got better results in comparison with the linear equation. All numerical computations in procedure of this study were performed by Wolfram Mathematica v.6 software.