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https://doi.org/10.37815/rte.v35n1.1000

Artículos originales=

 

Análisis de la variabilidad espacial de los perfiles de velocidad en canales abiertos con elevada rugosidad

Analysis of the spatial variability of the speed profiles in open channels with roughness

 

Pietro Corapi1 https://orcid.org/0000-0001-8626-0134,

Loiza Angeline Santos Santillan1=   https://orcid.org/0000-0002-8671-8245,

José Luis Campoverde Leiva1 https://orcid.org/0000-0002-6618-117X

 

1Universidad de Guayaquil, Guayaquil, Ecuador

pietro.corapi@ug.edu.ec, langeliness12@gmail.com, joseluisc.1996@outlook.com

 

Enviado:         2023/01/13

Aceptado:       2023/03/27

Publicado:      2023/06/30                         

Resumen

En los canales abiertos la variabilidad espacial de la distribución = de la velocidad se ve afectada por la distribución de la rugosidad del fondo y= de las paredes laterales del cauce. La presente investigación propone analizar perfiles de velocidad en canales abiertos, evaluando datos registrados en el laboratorio “Grandi Modelli Idraulici” de la Universidad de Calabria (Itali= a). Se consideró la rugosidad de fondo que afecta el comportamiento del flujo de agua para comparar los perfiles de velocidad y esfuerzo cortante obtenidos = en laboratorio con el esfuerzo cortante teórico. Se utilizó el lenguaje Matlab para procesar datos y elaborar gráficos. Se realizó la medición de 15 perfi= les de velocidad, cada uno aproximadamente de 35 puntos. Las pruebas se realiza= ron en condición de flujo permanente uniforme, los datos de velocidad se proces= aron en intervalos de 300s por punto, en cada sección la velocidad varía entre -0.5m/s y 1.0 m/s, los rangos de velocidad del proceso despiking var= ían entre -0.2 m/s a 0.7 m/s, siendo estos últimos los valores con los que se l= leva a cabo el análisis. Se concluye que los esfuerzos viscosos están en rangos = de -0.01 Pa a 0.02 Pa, esfuerzos cortantes turbulentos de -0.5 Pa a 3 Pa y esfuerzos cortantes de -0.5 Pa a 3 Pa. Estos últimos valores demuestran la preponderancia de los efectos turbulentos respecto a la viscosidad del flui= do.

 

= Palabras clave: Rugosidad, perfiles, despiking, viscosidad, turbulencia.

Sumario: Introducc= ión, Materiales y Métodos, Resultados y Discusión y Conclusiones.

 

Como citar: Corapi, P= ., Santos, L. & Campoverde, J. L. (2023). Análisis de la variabilidad espacia= l de los perfiles de velocidad en canales abiertos con elevada rugosidad. <= i>Revista Tecnológica - Espol, 35(1), 105-119. http://www.rte.espol.edu.ec/index.php/tecnologica/article/view/1= 000


Abstract

In open channels, the spatial variability of the velocity distribution is affected by the distribution of= the roughness of the bottom and sidewalls of the channel. The present investiga= tion aims to analyse velocity profiles in open channels by evaluating data recor= ded at the "Grandi Modelli Idraulici" laboratory of the University of Calabria (Italy). The bottom roughness that affects the water flow behaviour was considered to compare the velocity and shear profiles obtained in the laboratory with the theoretical shear stress; Matlab language was used to process data and elaborate graphs. Fifteen velocity profiles were measured, approximately 35 points each. The tests were carried out in a uniform perma= nent flow condition and the velocity data were processed in intervals of 300s per point; in each section, the velocity varies between -0.5m/s and 1.0 m/s, the velocity ranges of the despiking process vary between -0.2 m/s to 0.7 m/s, = the latter being the values for the analysis. In conclusion, viscous stresses r= ange from -0.01 Pa to 0.02 Pa, turbulent shear stresses from -0.5 Pa to 3 Pa, and shear stresses from -0.5 Pa to 3 Pa, the latter values showing the preponderance of turbulent effects concerning the viscosity of the fluid.

 

Keywords: Roughness, profiles, despiking, viscous, turbulent.

 

Introducción

La vari= abilidad de formas en que el flujo en canales abiertos se presenta puede ir desde una lámina de agua sobre el campo, debido a una fuerte precipitación, hasta un flujo de profundidad constante de un canal artificial. Este puede ser clasificado como permanente o no permanente, uniforme o no uniforme (García, 2016; Marín, 2017; Streeter et al., 2000).

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En un c= anal abierto la presencia de la superficie libre y la fricción en sus paredes ocasiona que las velocidades no estén uniformemente distribuidas en su secc= ión. Además, esta distribución de velocidades en el canal dependerá también de o= tros factores como: una forma inusual de la sección, la rugosidad del canal y la presencia de curvas (Chow, 2004).

 

General= mente el comportamiento del flujo en canales abiertos se encuentra dado por los efec= tos de viscosidad y gravedad relacionadas con las fuerzas inerciales de flujo. Referente al efecto de la viscosidad y la inercia, el flujo puede ser lamin= ar, turbulento o transicional y de acuerdo con el efecto de gravedad en el esta= do de flujo se ve representado por el número de Froude que es un número adimensional y está dado por la relación entre fuerzas inerciales y gravitacionales (Calderón, 2014; Casinita, 2014; Chow, 2004).

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Una de = las variables que puede incidir significativamente en el comportamiento del flu= jo es la rugosidad, lo que se traduce en una desigualdad en las distribuciones= de velocidad  (Corapi et al., 2= 022b). La influencia de la rugosida= d sobre el flujo en paredes laterales y el fondo del canal hacen que la velocidad v= aríe de un punto a otro en toda la sección transversal (Corapi et al., 2022b).

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General= mente la máxima velocidad del flujo se encuentra cerca de la superficie libre. La presencia de rugosidad en un canal genera una curvatura en el diagrama de distribuciones vertical de velocidad, dónde la velocidad es incrementada de forma considerable en el lado convexo de la curva debido a la acción centrí= fuga del flujo (Gavilan, 2001).

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El estu= dio del comportamiento y variabilidad de la velocidad en un canal abierto, debido a= la alta rugosidad, permite determinar las tensiones tangenciales que actúan en= el fondo del lecho y el posible desencadenamiento de fenómenos de erosión, tra= nsporte del material sólido y depósitos (Corapi et al., 2022a). El flujo de un canal abierto es turbulento cuando las fuerzas viscosas son débiles en comparación con las fuerzas de inercia (Carrasco, 2019; Castellanos, 2018; French, 1998).

&n= bsp;

La pres= ente investigación tiene la finalidad de realizar un análisis de una data existe= nte de velocidad en la dirección ¨x¨ y ¨z¨, para la velocidad a lo largo del ca= nal, paralela al flujo en la dirección x se utilizará la variable ¨u¨ mientras q= ue ¨Z¨ representa la profundidad de velocidad que será la variable ¨w¨ para comparar los perfiles de velocidad y esfuerzo cortante obtenidos en laborat= orio con los perfiles de velocidad y de esfuerzo cortante teórico.

&n= bsp;

Al tene= r en cuenta la importancia de optimizar el diseño constructivo de canales abiert= os, tomando en consideración la rugosidad de fondo que afecta al comportamiento= del flujo de agua, se compararan los perfiles de velocidad y de esfuerzo cortan= te a fin de tomar en consideración perdidas de energía que pueda tener el flujo.= Es decir, realizar una comparación entre el comportamiento del flujo real y el comportamiento de flujo teórico. De esta manera, contrastar los resultados obtenidos en laboratorio con los resultados que según los métodos de cálcul= o establecidos en la bibliografía deberían obtenerse. El proceso se llevará a cabo mediant= e la aplicación del software de cálculo matricial Matlab para la elaboración numérica y gráfica de los datos.

&n= bsp;

Se busc= ó analizar la variabilidad espacial de los perfiles de velocidad en canales abiertos c= on elevada rugosidad y de esta manera realizar una correlación del comportamie= nto del flujo, teniendo en consideración una rugosidad del fondo del canal. El objetivo fue analizar los datos de medición de velocidades adquiridos media= nte sistema Acoustic Doppler Velocimeter (ADV), determinar perfiles de velocida= d y de esfuerzo cortante a lo largo de la ventana de medición, comparar perfile= s de velocidad y de esfuerzo cortante obtenidos en laboratorios con los perfiles teóricos.

&n= bsp;

Aclaración

Se resalta que, este artículo es parte de un proyecto = de investigación “Fondos Concursables Internos” de la Universidad de Guayaquil denominado “Estudios de los perfiles de velocidad de flujo en canales abiertos”, con el cual los autores han participado, realizando el traba= jo previo para la redacción del presente artículo.

 

Materiales y Métodos

El proc= eso experimental se llevó a cabo dentro de las instalaciones del laboratorio de "Grandes Modelos Hidráulicos" (GMI) del Departamento de Ingeniería Civil de la Universidad de Calabria, sobre un pequeño canal con un fondo de elevada rugosidad. El proceso de investigación incluyó la medición de 15 perfiles de velocidad, de los cuales cada perfil está compuesto aproximadam= ente por 35 puntos a lo largo de la vertical, la adquisición de datos referidos = a un solo punto tomó 5 minutos (tiempo de adquisición) y todas las pruebas se realizaron en un flujo permanente uniforme (Q).

 

Ecuaciones de Navier-Stokes promediada= s a la Reynolds

La hipó= tesis fundamental fue que, la descomposición del componente de velocidad se da en= dos descomposiciones, la media y la fluctuante, esta descomposición se llama descomposición de Reynolds.

&n= bsp;

(1)

 

(2)

 

(3)

 

Donde <= /span> <= span style=3D'mso-spacerun:yes'> son las fuerzas de Reynolds o la fuerza turbulenta a partir de esta ecuación se obtiene la ecuación de Navier – Sto= kes promediada a la Reynolds.

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Descripción del Canal

El cana= l en estudio tiene una longitud de 16,00 𝑚, con una inclinación igual a 0,25%. Aguas arriba del canal existe una bomba sumergib= le que reintroduce el agua que se expulsa del mismo al canal, se recoge en un tanque aguas abajo del canal y se descarga en el canal de suministro el cual fluye hacia el tanque dentro del cual se sumerge la bomba para crear un circuito cerrado. Al final del canal hay un vertedero regulable para el con= trol del tirante. Figura 1.

 

Figura = 1=

Canal Experimental

Medición de Canal= es Abiertos mediante tecnología ADV (2022) (Corapi et al., 2022a)

&n= bsp;

Una est= ructura de ladrillos perforados se coloca aguas abajo de la bomba y aguas arriba del canal. Por donde pasa el flujo a lo largo de la dirección principal del can= al como se observa en la Figura 2.

&n= bsp;

Figura = 2=

Estructura de ladrillos perforado= s

Medición de Canales Abiertos mediante tecnología= ADV (2022) (Corapi et al., 2022a)<= span lang=3DES style=3D'font-size:10.0pt;mso-ansi-language:ES'>

La secc= ión del canal es de forma rectangular con ancho ,= la altura .= La rugosidad <= span style=3D'mso-spacerun:yes'> fue extrapolada de los sedimentos a <= span style=3D'mso-spacerun:yes'> y la desviación estándar geométrica de l= os agregados )= igual a ,= Figura 3, mediante un análisis con láser s= canner de los sedimentos presentes en el cauce.

 

Figura = 3=

Geometría del canal

𝑄 medido es igual a 52.1 𝑙<= span lang=3DES style=3D'mso-ansi-language:ES'> /𝑠, el cua= l genera una condición de flujo permanente en el canal.

&n= bsp;

Descripción del Acoustic Doppler Veloc= imeter (ADV)

Se util= iza para medir el campo de velocidad a altas frecuencias, en las tres direcciones x;= y; z. Un (ADV) mide los componentes de la velocidad en el espacio usando el ef= ecto Doppler, el efecto Doppler es el cambio en la frecuencia de una onda como consecuencia del movimiento relativo entre emisor y receptor, permite saber= si un objeto se aleja o se acerca a un observador y a qué velocidad lo hace. El instrumento utilizado consta de un emisor acústico, cuatro receptores acúst= icos y un módulo de procesamiento de señales. El emisor acústico genera una señal acústica que se escucha por la dispersión del sonido de las partículas presentes en el agua, y se mueven a la misma velocidad de la corriente del flujo de agua. La señal acústica reflejada es detectada por los receptores acústicos y utilizada para calcular el desplazamiento de fase Doppler del q= ue se deriva el campo de velocidad.

&n= bsp;

Figura = 4=

Volumen de control ADV

Medición de Canal= es Abiertos mediante tecnología ADV (2022) (Corapi et al., 2022a)

La Figura 4 muestra = las dimensiones del volumen de control <= span style=3D'mso-spacerun:yes'> y b que representan la altura y el ancho respectivamente. Este volumen de control se caracteriza por contener partíc= ulas en suspensión presentes en el flujo, que generan la Relación Señal-Ruido (S= NR), indicando la bondad de la señal debido a un número suficiente de partículas= en suspensión capaces de reflejar la señal.

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Software de Adquisición de Datos: Vectrino Plus

El inst= rumento está equipado con un software para la gestión de adquisiciones y configuraciones llamado Vectrino Plus. La pantalla principal se muestra en = la Figura 5.

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Figura = 5=

 Pantalla principal del software Vectrino= Plus

Medición de Canal= es Abiertos mediante tecnología ADV (2022) (Nortek, 2018)

&n= bsp;

En este= diseño, se muestran las velocidades a lo largo de las direcciones <= span style=3D'mso-spacerun:yes'> donde la presencia de <= span style=3D'mso-spacerun:yes'> y e= s útil no solo para medir la velocidad sino también para determinar los valores de= la correlación (c) de los datos que describen la bondad de la señal.

&n= bsp;

Los arc= hivos generados de la adquisición a través del software Vectrino Plus y convertid= os a formato ASCII (.dat) se representan mediante una matriz de 30000x19.

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Los dat= os contenidos en estos archivos se describen a continuación. Cada uno de los 3= 0000 puntos se refiereN a un instante de tiempo a partir de <= span style=3D'mso-spacerun:yes'> con un aumento par <= span style=3D'mso-spacerun:yes'> para  <= /span>= <= span style=3D'mso-spacerun:yes'> ya que la frecuencia de adquisición <= span style=3D'mso-spacerun:yes'> es igual a .=

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·         Columna 1:  Tiempos progresivos de 0 s a 30= 0 s;

·     Columnas 4, 5, 6, 7: Velocidades de puntos a lo largo de e= n :=

·     Columnas 8, 9, 10, 11: Intensidad de la señal instantánea a lo largo de <= o:p>

·         Columnas 12, 13, 14, 15 - Ruido instantáneo (SNR) a lo largo de <= span style=3D'mso-spacerun:yes'> en dB;

·     Columnas 16, 17, 18, 19: Correlación instantánea a lo largo de e= n <= o:p>

 

Esfuerzos cortantes=

Los esf= uerzos cortantes Figura 6, se dan por la suma de los compon= entes del esfuerzo tangencial o viscoso y por los componentes de la tensión turbulenta, considerando los esfuerzos que actúan sobre el plano 𝑥, 𝑧, se tiene:

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Ecuació= n 1. (Ecuación de esfuerzos cortantes)

(1)

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Donde <= /span> <= span style=3D'mso-spacerun:yes'> componente de la tensión viscosa, <= span style=3D'mso-spacerun:yes'> es el componente de la tensión turbulent= a.

 =

Figura = 6=

Distribución del esfuerzo cortante uniforme en un canal abierto Experimental

Verificación del rendimiento de ADV en fluidos de alta concentración de sedimentos finos. (Dey, 2014)

&n= bsp;

Adimensionalización de los Esfuerzos C= ortantes

Para la adimensionalización de los esfuerzos cortantes, se deberá dividir los esfue= rzos cortantes para el esfuerzo de corte máximo total ,= que normalmente se encuentra cerca del fondo del canal. En tanto, para la adimensionalización de los valores de profundidad (Z) se dividen para la al= tura del agua medida desde el fondo ( )= (Corapi et al., 2021).

&n= bsp;

Perfiles de velocidad

La dete= rminación del perfil de velocidad requiere la división del campo de movimiento en diferentes zonas. Los campos de corriente en un terreno accidentado permeab= le se pueden dividir en tres capas principales Figura 7: capa exterior, región de fondo y= capa subsuperficial. La región del fondo incluye la capa logarítmica y la capa de rugosidad. La capa de rugosidad contiene la subcapa inducida por la forma d= el lecho, ubicada justo encima de las crestas del lecho, y la subcapa interfac= ial entre las crestas y los cables.

&n= bsp;

Figura = 7=

 Divisiones del perfil de velocidad

Datos del Despiki= ng en el  Acoustic Doppler Velocimeter (2= 022) (Goring & Nikora, 2002)

Adimensionalización de los Perfiles de Velocidad

Para la adimensionalización de los perfiles de velocidad se emplea la velocidad de corte <= span style=3D'mso-spacerun:yes'> donde:

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Ecuació= n 2. (Velocidad de fricción)

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(2)

 

Donde: = = =3D Velocidad de fricción (m/s), = =3D esfuerzo cortante máximo en el perfil de los esfuerzos cortantes totales (P= a), = =3D densidad del agua .=

&n= bsp;

Y la adimensionalización se obtiene como (u/u*)

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En tant= o, para la adimensionalización en el eje y, los valores de Z se dividen para la altura= del agua medida desde el fondo del canal .=

 

Resultados y Dis= cusión

Para realizar el procesamiento de datos numé= ricos y debido a la extensa cantidad de datos con la que se disponía se utilizó el software Matlab.

 

Como ya se explicó en el apartado anterior, = la medición en el canal se conformó por 15 perfiles, de velocidad en la dirección predominante del flujo Figura 8, los cuales fu= eron identificados como (desde aguas arriba hacia aguas abajo): = X=3D625, X=3D627, X=3D629, X=3D631, X=3D633, X=3D635, X=3D637, X=3D639, X=3D641, X= =3D643, X=3D645, X=3D647, X=3D649, X=3D651, X=3D653, y cada uno de estos perfiles está compuesto por aproximadamente 35 puntos a lo largo de la vertical.

 

Figura 8

Cuadrícula de Medición

Evaluación experimental del coeficiente de Coriolis en canales abiertos con elevada rugosidad (2022) (Corapi et al., 2022b)

 

 <= /o:p>

 <= /o:p>

 <= /o:p>

Análisis Señal

La señal adquirida que es procesada en el so= ftware Matlab, puede verse afectada por picos aislados instantáneos que podría modificar los valores de la media y la desviación estándar.

 

Un pico consiste en una variación instantáne= a del valor de la señal (velocidad), más específicamente representa un valor de velocidad pico de corta duración, que posiblemente es debido a una correlac= ión instantánea; esta baja correlación normalmente es relacionada con LA baja cantidad de partículas sólidas suspendidas en el volumen de control = (Velasco et = al., 2009). Por esta razón, es necesario apli= car un procedimiento de limpieza de señales, denominado despiking. 

 

Este procedimiento se divide en dos fases:

 

·      =    Buscar picos;

·      =    Reemplazo de picos

 

El método de despiking que se utilizó se seleccionó entre los métodos propuestos por (Goring & Nikora, 2002) y a continuación se  describe:

 

Para comenzar se realizó una verificación in= icial de la correlación de los datos y de la desviación estándar

 

 

(3)

En la ecuación (3), se indican los límites q= ue normalmente son aceptados en la literatura, en las mediciones de ADV con presencia de macrorugosidad, se considera aceptable el 70%, mientras que la desviación de ) y se tiene dos fases. El primero= para aceleraciones negativas y el segundo para aceleraciones positivas (Corapi et a= l., 2022a).

 

 

(4)

O

 

(5)

 

Donde, se tiene que k=3D1.50,

   = =3D aceleración gravitacional igual a

 que es la aceleración de las partículas = en el i-enésimo punto.

 =

Si los datos sobr= e los que se realizó el análisis no se encuentran dentro de los rangos dictados p= or las condiciones, se sustituye el valor de velocidad instantánea por el valor medio referido a toda la señal .

 

A lo largo de la dirección z, se aplican las mismas condiciones para realizar la eliminación de señales.

 

Figura 9=

Señal de velocidad. (a) original, (b) procesada

 

En la Figura 9 (a) se observa la señal sin procesar (original), mientras en la Figura 9 (b) se observa la aplicación del proceso despiking de datos para consegu= ir la eliminación de picos.

 

Perfiles de Velocidad

Para obtener los perfiles de velocidad en el espacio se comienza aplicando el procedimiento de despiking a los datos de velocidad obtenidos en los diferentes puntos verticales de cada uno de los perfiles horizontales, luego se procede a realizar un promedio temporal de estos datos ya depurados en cada uno de los perfiles.

 

Finalmente, se realiza la adimensionalizació= n de los perfiles de velocidad.

 

Los datos de los esfuerzos de corte <= /span> , y del cálculo de la velocidad de fricción u*, de los 15 perfiles se muestran a continuación:

 

Tabla 1

Velocidad de fricción y esfuerzo de corte de los Perfiles de velocidad<= /p>

PERFIL

<= m:e>τ0 =

u*

(Pa)

(m/s)

X=3D625

1.533

0.039

X=3D627

2.482

0.049

X=3D629

2.322

0.048

X=3D631

1.49

0.039

X=3D633

2.921

0.054

X=3D635

1.932

0.044

X=3D637

2.769

0.053

X=3D639

1.366

0.037

X=3D641

1.376

0.037

X=3D643

1.333

0.037

X=3D645

1.313

0.036

X=3D647

2.71

0.052

X=3D649

1.182

0.034

X=3D651

2.291

0.048

X=3D653

1.868

0.043

 

Presentamos en la siguiente figura los perfi= les de velocidad de todas las secciones

 

Figura 10

Perfiles de velocidad adimensionalizado (  de todas las seccione= s

 

En la Figura 11 se  observan los 15 perfiles de vel= ocidad superpuestos desde los cuales se puede confirmar que, aunque exista una cie= rta variabilidad en la velocidad, debido a la rugosidad no uniforme del fondo d= el canal, la forma es semejante para todos los perfiles cumpliendo con cuanto evidenciado en  (Nikora et a= l., 2001).

 

Figura 11

Comparación grafica de los perfiles de Velocidad adimensionales

 

 

 

Cálculo de los esfuerzos cortantes viscosos.

Las componentes de los esfuerzos cortantes v= iscosos (  = a lo largo de la vertical se describen a continuación:

 

 

(6)

Donde , representa el componente de velo= cidad, a lo largo de la dirección principal, se tiene que  = y  para .

 

Finalmente, se procede a realizar adimensionalización de los esfuerzos cortantes viscosos donde se divide el =  = , y los valores de profundidad Z se dividen para la altura total del canal me= dida desde el fondo .

 

Cálculo de los esfuerzos cortantes turbulentos.

El cálculo de los esfuerzos cortantes turbul= entos está dado por la ecuación 7, donde se muestra la componente de los esfuerzos cortantes turbulentos.

 

 

(7)

Las componentes ,en primera instancia se obtuvieron promediando sus fluctuaciones individualmente y después se realiza la multiplicación de estos valores, referidos a una elevación z dada para un perfil determinado, finalmente se promediaron los valores obtenidos. Una vez obtenidos los valores de  = a lo largo de la vertical z, se realiza la multiplicación por <= span style=3D'mso-bookmark:_Toc38966068'> . . Para proceder a la adimensiona= lización de los esfuerzos cortantes turbulentos se divide el  = , y los valores de profundidad Z se dividen para la altura total del canal me= dida desde el fondo .

 

Cálculo de los Esfuerzos Cortantes Totales.

Al sumar los esfuerzos viscosos y turbulento= s y graficar el resultado se obtienen los esfuerzos cortantes totales .

 

Para proceder a la adimensionalización de los esfuerzos cortantes totales se divide el  = ; los valores de profundidad Z a su vez son divididos para la altura total del canal medida desde el fondo ( ).

 

Se obtienen graficas de esfuerzos cortantes = para las 15 secciones, a continuación, en la Figura 12 (a,b,c) se muestra la distribución de es= fuerzos cortantes (a) Viscosos (b) Turbulentos (c) Totales, para la sección X=3D625= .

 

 

 

 

 

 

 

 

 

 

Figura 12

Sección X=3D625. (a) Esfuerzos cortantes viscosos, (b) esfuerz= os cortantes turbulentos, (c) esfuerzos cortantes totales

 

 

Conclusiones

De los = datos originales de velocidad procesados con el software Matlab, para un interval= o de medición de 300 s por punto en cada sección, se obtuvo que la velocidad var= ía entre -0.5 m/s y 1.0 m/s. En cuanto a los datos de señal depurada con el procedimiento de despiking, así mismo en un tiempo de 300 s, se obtiene una reducción en los rangos de la señal de velocidad, la cual varía de entre -0= ,2 m/s a 0,7 m/s. Las velocidades negativas, comprueban la presencia de vórtic= es que en determinados puntos tienen dirección opuesta a la del flujo.

&n= bsp;

Se dete= rminaron 15 perfiles de velocidad, promediados en el tiempo. Se obtuvo así, valores = de velocidad que varían entre 0 y 0.35 m/s. Además, la forma de los perfiles es semejante, cuya única diferencia se da por la variación de velocidad. En cu= anto a los esfuerzos cortantes, se tiene que los esfuerzos viscosos están en ran= gos de -0.01 Pa a 0.02 Pa, mientras que, los esfuerzos cortantes turbulentos se encuentran en rangos de -0.5 Pa a 3 Pa y los esfuerzos cortantes totales se encuentran en rangos de -0.5 Pa a 3 Pa. Entonces los esfuerzos turbulentos son de mayor magnitud respecto a los esfuerzos viscosos, por es= ta razón los esfuerzos cortantes totales tienen rangos y distribución similares respecto a los esfuerzos turbulentos, verificando, por ende, la teoría de l= os perfiles de esfuerzos cortantes.

 

En los esfuerzos cortantes totales se tiene un increme= nto de intensidad cerca del fondo, debido a la mayor fricción a la cual está sujet= o el flujo por la elevada rugosid= ad del fondo, el valor máximo de esfuerzo cortante ( <= span style=3D'mso-spacerun:yes'> se ha empleado para adimensionalizar los perfiles con el fin de poder compararlos, de todas las secciones el de mayor intensidad se encuentra en la sección X=3D633, siendo el esfuerzo de 2.921 = Pa.

 

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6

Pietro Corapi, Loiza Santos, José Luis Campove= rde

5

Análisis de la variabilid= ad espacial de los perfiles de velocidad en canales abiertos con elevada r= ugosidad

 

Escuela Superior Politécn= ica del Litoral, ESPOL

 

Revista Tecnológica Espol= – RTE Vol. 35, N° 1 (Junio, 2023) / e-ISSN 1390-3659

 

Revista Tecnológica Espol= – RTE Vol. 35, N° 1 (Junio, 2023) / e-ISSN 1390-3659

 

 

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