A Novel Comparative Statistical and Experimental Modeling of Pressure Field in Free Jumps along the Apron of USBR Type I and II Dissipation Basins

Abstract

Dissipation basins are usually constructed downstream of spillways to dissipate energy, causing large pressure fluctuations underneath hydraulic jumps. Little systematic experimental investigation seems available for the pressure parameters on the bed of the US Department of the Interior, Bureau of Reclamation (USBR) Type II dissipation basins in the literature. We present the results of laboratory-scale experiments, focusing on the statistical modeling of the pressure field at the centerline of the apron along the USBR Type I and II basins. The accuracy of the pressure transducers was ±0.5%. The presence of accessories within basinII reduced the maximum pressure fluctuations by about 45% compared to basinI. Accordingly, in some points, the bottom of basinII did not collide directly with the jet due to the hydraulic jump. As a result, the values of pressure and pressure fluctuations decreased mainly therein. New original best-fit relationships were proposed for the mean pressure, the statistical coefficient of the probability distribution, and the standard deviation of pressure fluctuations to estimate the pressures with different probabilities of occurrence in basinI and basinII. The results could be useful for a more accurate, safe design of the slab thickness, and reduce the operation and maintenance costs of dissipation basins.

New Expressions to Apply the Variation Operation Strategy in Engineering Tools Using Pumps Working as Turbines

“…Mathematical models have been a very useful tool to improve the management of water networks [1]. These models improved both pressurized systems [2], as well as free surface channels [3], improving their management and behavior in steady and unsteady flows. Some of these models were focused on the integration of the management into the new sustainability challenges of the infrastructures [4].…”

Metodología de análisis para la mejora de la predicción de las curvas características de bombas trabajando como turbina operando a velocidad variable

“…Los modelos matemáticos han sido una herramienta muy útil para mejorar la gestión de las redes de agua [42]. Estos modelos mejoraron tanto los sistemas presurizados [8], como los canales de superficie libre [43], mejorando su manejo y comportamiento en flujos estables e inestables. Algunos de estos modelos se centraron en la integración de la gestión en los nuevos retos de sostenibilidad de las infraestructuras [9].…”

“…Mathematical models have been a very useful tool to improve the management of water networks [42]. These models improved both pressurized systems [8], as well as free surface channels [43], improving their management and behavior in steady and unsteady flows. Some of these models were focused on the integration of the management into the new sustainability challenges of the infrastructures [9].…”