CN118130039A - Urban landscape dam under-water drainage running water noise exploration method - Google Patents

Urban landscape dam under-water drainage running water noise exploration method Download PDF

Info

Publication number
CN118130039A
CN118130039A CN202410020027.0A CN202410020027A CN118130039A CN 118130039 A CN118130039 A CN 118130039A CN 202410020027 A CN202410020027 A CN 202410020027A CN 118130039 A CN118130039 A CN 118130039A
Authority
CN
China
Prior art keywords
water
pressure
noise
sound
domain data
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202410020027.0A
Other languages
Chinese (zh)
Inventor
王大国
范艺
水庆象
李甜
陈平
余涛
陈雨欣
戴阳
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Sichuan Guoda Jindi Engineering Technology Consulting Co ltd
Southwest Petroleum University
Xihua University
Original Assignee
Sichuan Guoda Jindi Engineering Technology Consulting Co ltd
Southwest Petroleum University
Xihua University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Sichuan Guoda Jindi Engineering Technology Consulting Co ltd, Southwest Petroleum University, Xihua University filed Critical Sichuan Guoda Jindi Engineering Technology Consulting Co ltd
Priority to CN202410020027.0A priority Critical patent/CN118130039A/en
Publication of CN118130039A publication Critical patent/CN118130039A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • G06F30/28Design optimisation, verification or simulation using fluid dynamics, e.g. using Navier-Stokes equations or computational fluid dynamics [CFD]
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01HMEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
    • G01H17/00Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01HMEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
    • G01H3/00Measuring characteristics of vibrations by using a detector in a fluid
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M10/00Hydrodynamic testing; Arrangements in or on ship-testing tanks or water tunnels
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2113/00Details relating to the application field
    • G06F2113/08Fluids
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/14Force analysis or force optimisation, e.g. static or dynamic forces

Landscapes

  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Fluid Mechanics (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Evolutionary Computation (AREA)
  • Evolutionary Biology (AREA)
  • Computing Systems (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Artificial Intelligence (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Algebra (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Mathematical Physics (AREA)
  • Pure & Applied Mathematics (AREA)
  • Computer Hardware Design (AREA)
  • Geometry (AREA)
  • Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)

Abstract

The invention relates to the technical field of running water noise, and provides a method for exploring running water noise of water discharged from an urban landscape dam, which comprises the following steps: 1. establishing a physical model of the dam; 2. setting a detection point at the downstream of the dam physical model, and measuring noise sound pressure, underwater sound pressure, water pressure and three-dimensional flow velocity at the detection point; 3. calculating to obtain noise sound pressure level, underwater sound pressure level, water pressure time domain data, pulse pressure, root mean square of pulse pressure and turbulence energy; 4. and establishing a spectrogram and analyzing the internal relation. The invention can analyze noise source better.

Description

Urban landscape dam under-water drainage running water noise exploration method
Technical Field
The invention relates to the technical field of running water noise, in particular to a method for exploring running water noise of water leakage under an urban landscape dam.
Background
The water flow passes through water diversion or drainage facilities in hydraulic engineering, such as overflow weirs, sluice gates, diversion tunnels, flood discharge holes and the like, and due to the complex flow channel boundaries of the water flow, the water flow is often caused to have high-speed turbulence and complex hydrodynamic characteristics, so that high decibel water flow noise is caused. The running of water conservancy facilities such as low weirs and gate dams in urban landscape water bodies can generate water flow noise to a certain extent, and some water flow noise can even exceed the noise standard of living environment, pollute the environment and are not beneficial to the physical and mental health of surrounding residents.
At present, water conservancy facilities mainly produce three kinds of water noise because of rivers effect, mainly do: turbulence noise generated by turbulence of the water flow, impact noise generated by interaction between the water flow and a building, and cavitation noise generated by vibration and rupture of bubbles in the water flow. Cavitation noise is the simultaneous generation of impulse noise when the water flow is at a low or negative pressure and the pressure drops to the saturation pressure of the water, resulting in rapid vaporization of the water flow, followed by collapse of the bubbles produced by the vaporization. At present, the research on cavitation noise is mainly focused on the aspects of propellers and the like. When the water flow speed is more than 12.7m/s, cavitation bubbles and cavitation noise are generated; when the water flow velocity is less than 12.7m/s, the generation of cavitation bubbles is not observed. Because the water velocity of the urban water conservancy landscape facility is smaller, cavitation noise can not be generated, and the water noise mainly comprises: turbulent water noise generated by the turbulence of the water flow and impact water noise generated by the interaction of the water flow and the building.
However, the state of the art is as follows:
1. the current discussion of dam water noise scientific research is few, mainly the actual research of engineering on noise reduction measures, and the research on the content of the generation mechanism of the dam water noise of the urban landscape is less;
2. The research on noise generated by the dam water drainage at home and abroad is still in the test stage, and mainly aims at the physical model test of different weir type researches on the influence of noise and no actual engineering equal proportion setting;
3. related field researches focus on analyzing factors influencing the generation of water noise of an urban landscape dam and qualitative relations between the factors, and analytical formulas for quantitatively representing the water noise are rarely seen;
4. At present, no test for directly measuring influence of turbulence on noise exists in hydraulic engineering.
Therefore, there is a need for a method of exploring the noise of the underdrain running water of an urban landscape dam to solve the above problems.
Disclosure of Invention
The invention provides a method for exploring the water drainage and running noise under an urban landscape dam, which can study and discuss the correlations between the water noise and the turbulent noise of water flow and the action noise of water flow and a building, and analyze and find a main noise source.
The invention relates to a method for exploring the noise of water flowing in the water discharged under an urban landscape dam, which comprises the following steps:
1. Establishing a physical model of the dam;
2. setting a detection point at the downstream of the dam physical model, and measuring noise sound pressure, underwater sound pressure, water pressure and three-dimensional flow velocity at the detection point;
3. Calculating to obtain noise sound pressure level, underwater sound pressure level, water pressure time domain data, pulse pressure, root mean square of pulse pressure and turbulence energy;
4. and establishing a spectrogram and analyzing the internal relation.
Preferably, in the second step, the detection points are provided with a hydrophone, a microphone, a pressure sensor and a three-dimensional profile flow velocity meter.
Preferably, the hydrophone is arranged as follows:
3 hydrophone detection points are arranged at the obvious downstream water spray position, the bottom of the downstream water tank and the downstream water flow slow position, wherein the distance between the detection points and the downstream water flow slow position is V 1、V2、V3,V1、V2, the distance between the detection points and the dam model is 0.3m, V 3 is positioned at the water flow slow position, and the height of the detection points is the same as that of V 1, and the detection points are the water depth h. The method comprises the steps of obtaining time domain data of sound pressure of underwater sound signals by measuring underwater sound signals at different positions under water surface, carrying out fast Fourier transform on the underwater sound time domain data to obtain frequency domain data, and further analyzing sound pressure level changes and frequency spectrum characteristics of underwater drainage water under different working conditions.
Preferably, the microphone is provided as follows:
The microphone P 1 is arranged right above the hydrophone measuring point V 1, and the distance V 1 is 0.25m; measuring noise signals in the air at the obvious position of downstream water bloom, obtaining time domain data of air noise signal sound pressure, obtaining frequency domain data by carrying out Fourier change on the air noise time domain data, and analyzing the sound pressure level change and the frequency spectrum characteristics of the water leakage running water sound under different working conditions by combining hydrophone data.
Preferably, the pressure sensor is provided as follows:
4 pressure sensors Z 1、Z2、Z3、Z4 are arranged at the bottom of the water tank, the pressure sensor Z 5,Z1 is arranged at the downstream water inflow turbulence position and is 0.3m away from the bottom of the dam, and in order to ensure that Z 4 is positioned at the downstream water flow turbulence position, the interval between the pressure sensors is 0.8m; measuring the water pressure at different points on the downstream of the gate dam by adopting a pressure sensor, performing spectrum analysis on the obtained data to obtain signal characteristics of a pressure spectrum under each working condition, and further analyzing the relation between the water flow impact acting force and water noise generated by the impact;
preferably, the three-dimensional profile flow meter is set as follows:
The three-dimensional profile flow rate meter U 1 is arranged at the downstream water flow smooth position, is positioned right below the V 3 and is positioned at a height which is 0.6 times the water depth.
Preferably, in the third step, the noise sound pressure and the underwater sound pressure are obtained by calculating the noise sound pressure level and the underwater sound pressure level; the water pressure is measured to obtain water pressure time domain data, and the root mean square of the pulsating pressure and the pulsating pressure is obtained through calculation; the three-dimensional flow velocity is calculated to obtain turbulence energy.
Preferably, in the fourth step, specifically including:
1) The noise sound pressure and water sound pressure time domain data are analyzed through 1/3 octaves to obtain a 1/3 octave spectrogram; performing Fourier transformation after the turbulence energy and the pulsating water pressure are autocorrelation to obtain an amplitude spectrum and a self-power spectrum of the pulsating water pressure;
2) By analyzing the change trend of noise and underwater sound pressure level along with dam height, downstream water depth and upstream flow, analyzing 1/3 octave spectrograms of noise and underwater sound, and finding out noise influence factors, frequency characteristics and internal relation of the noise in the air and the underwater sound;
3) By analyzing the variation trend of the acoustic sound pressure level, the root mean square of the pulse pressure and the turbulent energy along with the dam height, the downstream water depth and the upstream flow, analyzing the 1/3 octave spectrogram, the pulse pressure and the turbulent energy spectrogram, and finding out the influence factors, the frequency characteristics and the internal relation of the acoustic noise and the water pressure and the turbulent flow in the water;
4) The internal relation between the noise and the water pressure and the internal relation between the water sound and the water pressure and the internal relation between the noise and the water pressure and the internal relation between the water sound and the turbulence are analyzed.
Preferably, the time domain data of the sound pressure of the underwater sound signal is obtained by measuring the underwater sound signals at different positions under the water surface, the time domain data of the underwater sound is subjected to fast Fourier change to obtain the frequency domain data, and the sound pressure level is utilizedWherein p is a sound pressure value of a certain point, p 0 is a reference sound pressure, and the sound pressure is converted into a sound pressure level by a formula, so that the change of the sound pressure level and the frequency spectrum characteristics of the water leakage running sound under different working conditions are analyzed;
measuring noise signals in the air at the obvious position of downstream water bloom, obtaining time domain data of air noise signal sound pressure, obtaining frequency domain data by carrying out Fourier transform on the air noise time domain data, and analyzing sound pressure level change and frequency spectrum characteristics of water drainage running sound under different working conditions by combining hydrophone data;
The digital pressure sensor is adopted to measure the water pressure at different points downstream of the gate dam, so as to obtain time domain data of the water pressure, and the time domain data is calculated by a formula Time-sharing pressure/>, to obtain water pressureP i is water pressure time domain data, and N is sampling statistics;
By the formula Calculating pulsation data P' of the water pressure, namely the pulsation water pressure; performing autocorrelation on the pulsating water pressure, performing fast Fourier transform FFT on the pulsating water pressure after the autocorrelation to obtain frequency domain data of the pulsating water pressure, and drawing a spectrogram; the signal characteristics of the pressure frequency spectrum under each working condition are obtained, and then the relation between the water flow impact acting force and the water noise generated by the impact is analyzed;
the root mean square value P RMS of the pulse pressure is calculated by the formula Calculate the mean square value/>, of the water pressureThen root mean square of the pulsating pressure is obtained by root mean square
The spectrum analysis, namely the amplitude spectrum and the self-power spectrum of the water pressure can be obtained after FFT, the dominant frequency range with concentrated energy and the main frequency with most concentrated energy can be obtained through analysis, and the characteristic and the relation of the water noise spectrum can be discussed in frequency through analysis and comparison; the root mean square of the pulsating pressure represents the amplitude of the pulsating pressure, and the change trend and the relation of the pulsating pressure and the noise sound pressure level can be discussed by researching the change rule of the pulsating pressure and the noise sound pressure level;
Measuring the flow velocity of each point in the flow field by using a three-dimensional profile flow velocity meter, converting the three-dimensional flow velocity into turbulent energy by using a formula k=0.5 (u r'ur'+uθ'uθ'+uz'uz'), performing spectrum analysis by using the data of the turbulent energy, drawing a spectrogram to analyze the energy change rule generated by the turbulent fluctuation of the water flow under each working condition, and further analyzing the turbulent noise generated by the turbulent fluctuation of the water flow;
k is turbulence energy, which characterizes the energy of turbulence; u r'、uθ'、uz' represents the pulsating flow rate in the three directions of transverse, longitudinal and vertical at a certain point in the water, the pulsating flow rate is calculated to be the same as the pulsating pressure, namely the pulsating flow rate is the difference between the time domain flow rate and the time average flow rate.
The invention discusses the correlation between the water noise and the turbulent noise of the water flow and the action noise of the water flow and the building through the change conditions of the noise, the underwater sound pressure level, the pulsation pressure and the turbulent energy under each working condition. And then, carrying out spectrum analysis by using the data measured under different working conditions through a noise spectrum, a pressure spectrum and a pulsation value of the water flow speed, and analyzing the main source of noise according to the change trend of the spectrum under each working condition.
Noise reduction measures can be implemented aiming at main noise sources by analyzing the noise sources of the urban landscape dams; the method provides theoretical support and technical measures for noise reduction design of the urban water conservancy and landscape facilities, has instructive significance for noise reduction of the urban water conservancy and landscape facilities, and is specifically as follows:
1) Providing a quiet environment: providing a relatively quiet living and working environment for the residents. The urban landscape dam is beneficial to improving the urban landscape dam, can effectively reduce the transmission of noise, is the life quality of residents, and reduces the influence of the noise on physical and mental health;
2) Protecting the ecological system: noise also has adverse effects on the natural ecosystem, such as interference with birds, insects, and other wild animals. The noise reduction measures of the urban landscape dam can reduce the interference and protect the balance and diversity of an ecological system;
3) Improve community interaction: noise pollution can interfere with communications and interactions between community residents. Noise reduction can create a more friendly and harmonious community environment, and social activities and community cohesive force of residents are promoted;
4) Improving the urban image: the noise reduction measures of the urban landscape dam can improve the environment quality and living experience of the city and improve the image and the attraction of the city. This helps to attract investment, promote economic development, and increase urban travel appeal.
Drawings
FIG. 1 is a flow chart of a method for exploring the noise of water flowing in the water under an urban landscape dam in an embodiment;
FIG. 2 is a schematic view of a longitudinal central axis of a water tank in a cross section in an embodiment;
FIG. 3 is a schematic diagram of a station arrangement in an embodiment.
Detailed Description
For a further understanding of the present invention, the present invention will be described in detail with reference to the drawings and examples. It is to be understood that the examples are illustrative of the present invention and are not intended to be limiting.
Examples
As shown in fig. 1, the embodiment provides a method for exploring the noise of the water flowing in the water discharged from an urban landscape dam, which comprises the following steps:
1. Establishing a physical model of the dam;
The method is realized by setting three variables of upstream water flow speed, dam height and downstream water depth, changing water flow state and then changing water flow and noise characteristics, and the specific parameters are as follows: the upstream flow takes Q 1=15l/s、Q2=30l/s、Q3=45l/s、Q4 =60 l/s and Q 5 =75 l/s respectively; taking h 1=0cm、h2=10cm、h3=20cm、h4=30cm、h5 =40 cm and h 6 =50 cm from the downstream water depth respectively; the height of the weirs was H 1=50cm、H2=60cm、H3=70cm、H4 =80 cm and H 5 =80 cm, respectively. To avoid noise from the interaction of the upstream water flow with the dam, three ways of fixing the dam are adopted: 1. the expansion screw is fixed; 2. the self weight is increased by using the bricks, so that the vibration of the dam model caused by overlarge upstream water flow is avoided; 3. supported by a stay bar.
The water tank of the model is 24m long, the non-ridge wide top weir model is arranged at a position 7m away from an upstream water outlet, the heights of the non-ridge wide top weir model are 50cm, 60cm, 70cm, 80cm and 90cm, the widths of the non-ridge wide top weir model are 0.5m, and gaps between the non-ridge wide top weir and the side wall of the water tank are bonded by using glass cement. The noise measuring points are arranged on the section of the longitudinal central axis of the water tank.
2. Setting a detection point at the downstream of the dam physical model, and setting a corresponding hydrophone, a microphone, a pressure sensor and a three-dimensional profile flow velocity meter at the detection point; measuring noise sound pressure, underwater sound pressure, water pressure and three-dimensional flow velocity;
Hydrophones are output instruments that measure the acoustic pressure changes of underwater acoustic signals and produce a voltage proportional to the acoustic pressure. The experiment adopts RHS-30 spherical standard hydrophone, the spherical head sensitive element is piezoelectric ceramics, also called piezoelectric hydrophone, which is a voltage output instrument for detecting underwater acoustic signal change and generating voltage proportional to sound pressure. The arrangement is as follows:
as shown in fig. 2 and 3, 3 hydrophone detection points are arranged at the obvious downstream water spray, the bottom of the downstream water tank and the downstream water level slow position, wherein the distance between V 1、V2、V3,V1、V2 and the dam model is 0.3m, V 3 is positioned at the water level slow position, and the height of the hydrophone detection points is equal to the height of V 1 and is the water depth h. The method comprises the steps of obtaining time domain data of sound pressure of underwater sound signals by measuring underwater sound signals at different positions under water surface, carrying out fast Fourier transform on the underwater sound time domain data to obtain frequency domain data, and further analyzing sound pressure level changes and frequency spectrum characteristics of underwater drainage water under different working conditions.
Microphones are transducers that convert acoustic signals into electrical signals. The nickel or the alloy diaphragm is adopted and is subjected to special stability treatment, and the method has the advantages of wide frequency range, good frequency response, wide dynamic range, good dynamic characteristics, good long-time stability and the like. In order to better combine hydrophone data to perform corresponding analysis on water noise, the following microphone settings are performed:
The microphone P 1 is arranged right above the hydrophone measuring point V 1, and the distance V 1 is 0.25m; measuring noise signals in the air at the obvious position of downstream water bloom, obtaining time domain data of air noise signal sound pressure, obtaining frequency domain data by carrying out Fourier change on the air noise time domain data, and analyzing the sound pressure level change and the frequency spectrum characteristics of the water leakage running water sound under different working conditions by combining hydrophone data.
Pressure sensors are sensors for measuring the pressure of liquids and gases. Similar to other sensors, pressure sensors operate to convert pressure into an electrical signal for output. The arrangement is as follows:
4 pressure sensors Z 1、Z2、Z3、Z4 are arranged at the bottom of the water tank, the pressure sensor Z 5,Z1 is arranged at the downstream water inflow turbulence position and is 0.3m away from the bottom of the dam, and in order to ensure that Z 4 is positioned at the downstream water flow turbulence position, the distance between the pressure sensors is 0.8m, as shown in figure 1; measuring the water pressure at different points on the downstream of the gate dam by using CY200 series intelligent digital pressure sensors, performing spectrum analysis on the obtained data to obtain signal characteristics of a pressure spectrum under each working condition, and further analyzing the relation between the water flow impact acting force and water noise generated by the impact;
The three-dimensional profile flow velocity meter is used for measuring the flow velocity of each point in the flow field. And measuring the flow velocity of each point in the flow field by using a three-dimensional profile flow velocity meter, and correcting a water noise generation analysis formula established by the physical model. In order to ensure the accuracy of the data, the following settings were made:
The three-dimensional profile flow rate meter U 1 is arranged at the downstream water flow smooth position, is positioned right below the V 3 and is positioned at a height which is 0.6 times the water depth.
The upstream water inlet can adjust the upstream water flow velocity, and the downstream water baffle can be provided with different downstream water depths. Water noise data at different upstream flow rates, downstream water depths, and different dam heights can be measured.
3. Calculating to obtain noise sound pressure level, underwater sound pressure level, water pressure time domain data, pulse pressure, root mean square of pulse pressure and turbulence energy;
the sound pressure of the noise and the sound pressure of the water are obtained through calculation; the water pressure is measured to obtain water pressure time domain data, and the root mean square of the pulsating pressure and the pulsating pressure is obtained through calculation; the three-dimensional flow velocity is calculated to obtain turbulent energy;
4. Establishing a spectrogram and analyzing an internal relation;
The method specifically comprises the following steps:
1) The noise sound pressure and water sound pressure time domain data are analyzed through 1/3 octaves to obtain a 1/3 octave spectrogram; performing Fourier transformation after the turbulence energy and the pulsating water pressure are autocorrelation to obtain an amplitude spectrum and a self-power spectrum of the pulsating water pressure;
2) By analyzing the change trend of noise and underwater sound pressure level along with dam height, downstream water depth and upstream flow, analyzing 1/3 octave spectrograms of noise and underwater sound, and finding out noise influence factors, frequency characteristics and internal relation of the noise in the air and the underwater sound;
3) By analyzing the variation trend of the acoustic sound pressure level, the root mean square of the pulse pressure and the turbulent energy along with the dam height, the downstream water depth and the upstream flow, analyzing the 1/3 octave spectrogram, the pulse pressure and the turbulent energy spectrogram, and finding out the influence factors, the frequency characteristics and the internal relation of the acoustic noise and the water pressure and the turbulent flow in the water;
4) The internal relation between the noise and the water pressure and the internal relation between the water sound and the water pressure and the internal relation between the noise and the water pressure and the internal relation between the water sound and the turbulence are analyzed.
Obtaining time domain data of sound pressure of underwater sound signals by measuring the underwater sound signals at different positions under the water surface, performing fast Fourier change on the underwater sound time domain data to obtain frequency domain data, and utilizing sound pressure levelWherein p is a sound pressure value of a certain point, p 0 is a reference sound pressure, and the sound pressure is converted into a sound pressure level by a formula, so that the change of the sound pressure level and the frequency spectrum characteristics of the water leakage running sound under different working conditions are analyzed;
measuring noise signals in the air at the obvious position of downstream water bloom, obtaining time domain data of air noise signal sound pressure, obtaining frequency domain data by carrying out Fourier transform on the air noise time domain data, and analyzing sound pressure level change and frequency spectrum characteristics of water drainage running sound under different working conditions by combining hydrophone data;
The digital pressure sensor is adopted to measure the water pressure at different points downstream of the gate dam, so as to obtain time domain data (instantaneous data) of the water pressure, and the time domain data (instantaneous data) of the water pressure is calculated by the formula Time-sharing pressure/>, to obtain water pressureP i is water pressure time domain data, and N is sampling statistics number (namely, the sampling number corresponding to the sampling frequency). Because the water pressure time domain data can be interpreted as a superposition of time-averaged data and pulsatile data, the water pressure time domain data can be calculated by the formula/>The pulsating data (P') of the water pressure, i.e., the pulsating water pressure, is calculated. And then carrying out autocorrelation on the pulsating water pressure, carrying out Fast Fourier Transform (FFT) on the pulsating water pressure after the autocorrelation to obtain frequency domain data of the pulsating water pressure, and drawing a spectrogram (spectrum analysis). And obtaining signal characteristics of the pressure frequency spectrum under each working condition, and further analyzing the relation between the water flow impact acting force and the water noise generated by the impact. The root mean square value (P RMS) of the pulsating pressure is calculated by the formula/>Calculate the mean square value/>, of the water pressureRoot mean square of the pulsating pressure is obtained by root mean square (i.e./>)). The spectrum analysis, namely the amplitude spectrum and the self-power spectrum of the water pressure can be obtained after FFT, the dominant frequency range with more concentrated energy and the main frequency with most concentrated energy can be obtained by analysis, and the characteristic and the relation of the two in frequency can be discussed by analyzing and comparing the water noise spectrum. The root mean square of the pulsating pressure represents the amplitude of the pulsating pressure, and the change trend and the connection of the pulsating pressure and the noise sound pressure level can be discussed by researching the change rule of the pulsating pressure and the noise sound pressure level.
The flow velocity of each point in the flow field is measured by a three-dimensional profile flow velocity meter, the three-dimensional flow velocity is converted into turbulent energy by using a formula k=0.5 (u r'ur'+uθ'uθ'+uz'uz'), the data of the turbulent energy is used for spectral analysis, the energy change rule generated by the turbulent fluctuation of the water flow under each working condition is drawn by the spectral analysis, and then the turbulent noise generated by the turbulent fluctuation of the water flow is analyzed.
K is turbulence energy, which characterizes the energy of turbulence; u r'、uθ'、uz' represents the pulsating flow rate in the three directions of transverse, longitudinal and vertical at a certain point in the water, the pulsating flow rate is calculated to be the same as the pulsating pressure, namely the pulsating flow rate is the difference between the time domain flow rate and the time average flow rate.
The correlation between the water noise and the turbulent noise of the water flow and the action noise of the water flow and the building is discussed through the change conditions of the noise, the underwater sound pressure level, the pulsation pressure and the turbulent energy under each working condition. And then, carrying out spectrum analysis by using the data measured under different working conditions through a noise spectrum, a pressure spectrum and a pulsation value of the water flow speed, and analyzing the main source of noise according to the change trend of the spectrum under each working condition.
The invention and its embodiments have been described above by way of illustration and not limitation, and the invention is illustrated in the accompanying drawings and described in the drawings in which the actual structure is not limited thereto. Therefore, if one of ordinary skill in the art is informed by this disclosure, the structural mode and the embodiments similar to the technical scheme are not creatively designed without departing from the gist of the present invention.

Claims (9)

1. A method for exploring the noise of the water leakage and running under an urban landscape dam is characterized in that: the method comprises the following steps:
1. Establishing a physical model of the dam;
2. setting a detection point at the downstream of the dam physical model, and measuring noise sound pressure, underwater sound pressure, water pressure and three-dimensional flow velocity at the detection point;
3. Calculating to obtain noise sound pressure level, underwater sound pressure level, water pressure time domain data, pulse pressure, root mean square of pulse pressure and turbulence energy;
4. and establishing a spectrogram and analyzing the internal relation.
2. The method for exploring the noise of the underdrain running water of the urban landscape dam according to claim 1, which is characterized by comprising the following steps: in the second step, the detection points are provided with a hydrophone, a microphone, a pressure sensor and a three-dimensional profile flow velocity meter.
3. The method for exploring the noise of the underdrain running water of the urban landscape dam according to claim 2, which is characterized in that: the hydrophone is arranged as follows:
3 hydrophone detection points are arranged at the obvious downstream water spray position, the bottom of the downstream water tank and the downstream water flow slow position, wherein the distance between the detection points and the downstream water flow slow position is V 1、V2、V3,V1、V2, the distance between the detection points and the dam model is 0.3m, V 3 is positioned at the water flow slow position, and the height of the detection points is the same as that of V 1, and the detection points are the water depth h. The method comprises the steps of obtaining time domain data of sound pressure of underwater sound signals by measuring underwater sound signals at different positions under water surface, carrying out fast Fourier transform on the underwater sound time domain data to obtain frequency domain data, and further analyzing sound pressure level changes and frequency spectrum characteristics of underwater drainage water under different working conditions.
4. The method for exploring the noise of the underdrain running water of the urban landscape dam according to claim 3, wherein the method comprises the following steps: the microphone is set as follows:
The microphone P 1 is arranged right above the hydrophone measuring point V 1, and the distance V 1 is 0.25m; measuring noise signals in the air at the obvious position of downstream water bloom, obtaining time domain data of air noise signal sound pressure, obtaining frequency domain data by carrying out Fourier change on the air noise time domain data, and analyzing the sound pressure level change and the frequency spectrum characteristics of the water leakage running water sound under different working conditions by combining hydrophone data.
5. The method for exploring the noise of the underdrain running water of the urban landscape dam according to claim 4, wherein the method comprises the following steps: the pressure sensor is set as follows:
4 pressure sensors Z 1、Z2、Z3、Z4 are arranged at the bottom of the water tank, the pressure sensor Z 5,Z1 is arranged at the downstream water inflow turbulence position and is 0.3m away from the bottom of the dam, and in order to ensure that Z 4 is positioned at the downstream water flow turbulence position, the interval between the pressure sensors is 0.8m; the pressure sensor is used for measuring the water pressure at different points on the downstream of the gate dam, the obtained data are subjected to spectrum analysis, the signal characteristics of the pressure spectrum under each working condition are obtained, and then the relation between the water flow impact acting force and the water noise generated by the impact is analyzed.
6. The method for exploring the noise of the underdrain running water of the urban landscape dam according to claim 5, wherein the method comprises the following steps: the three-dimensional profile flow rate meter is set as follows:
The three-dimensional profile flow rate meter U 1 is arranged at the downstream water flow smooth position, is positioned right below the V 3 and is positioned at a height which is 0.6 times the water depth.
7. The method for exploring the noise of the underdrain running water of the urban landscape dam according to claim 6, wherein the method comprises the following steps: step three, obtaining a noise sound pressure level and a water sound pressure level through calculation of the noise sound pressure and the water sound pressure; the water pressure is measured to obtain water pressure time domain data, and the root mean square of the pulsating pressure and the pulsating pressure is obtained through calculation; the three-dimensional flow velocity is calculated to obtain turbulence energy.
8. The method for exploring the noise of the underdrain running water of the urban landscape dam according to claim 7, wherein the method comprises the following steps: in the fourth step, specifically include:
1) The noise sound pressure and water sound pressure time domain data are analyzed through 1/3 octaves to obtain a 1/3 octave spectrogram; performing Fourier transformation after the turbulence energy and the pulsating water pressure are autocorrelation to obtain an amplitude spectrum and a self-power spectrum of the pulsating water pressure;
2) By analyzing the change trend of noise and underwater sound pressure level along with dam height, downstream water depth and upstream flow, analyzing 1/3 octave spectrograms of noise and underwater sound, and finding out noise influence factors, frequency characteristics and internal relation of the noise in the air and the underwater sound;
3) By analyzing the variation trend of the acoustic sound pressure level, the root mean square of the pulse pressure and the turbulent energy along with the dam height, the downstream water depth and the upstream flow, analyzing the 1/3 octave spectrogram, the pulse pressure and the turbulent energy spectrogram, and finding out the influence factors, the frequency characteristics and the internal relation of the acoustic noise and the water pressure and the turbulent flow in the water;
4) The internal relation between the noise and the water pressure and the internal relation between the water sound and the water pressure and the internal relation between the noise and the water pressure and the internal relation between the water sound and the turbulence are analyzed.
9. The method for exploring the noise of the underdrain running water of the urban landscape dam according to claim 8, wherein the method comprises the following steps: obtaining time domain data of sound pressure of underwater sound signals by measuring the underwater sound signals at different positions under the water surface, performing fast Fourier change on the underwater sound time domain data to obtain frequency domain data, and utilizing sound pressure levelWherein p is a sound pressure value of a certain point, p 0 is a reference sound pressure, and the sound pressure is converted into a sound pressure level by a formula, so that the change of the sound pressure level and the frequency spectrum characteristics of the water leakage running sound under different working conditions are analyzed;
measuring noise signals in the air at the obvious position of downstream water bloom, obtaining time domain data of air noise signal sound pressure, obtaining frequency domain data by carrying out Fourier transform on the air noise time domain data, and analyzing sound pressure level change and frequency spectrum characteristics of water drainage running sound under different working conditions by combining hydrophone data;
The digital pressure sensor is adopted to measure the water pressure at different points downstream of the gate dam, so as to obtain time domain data of the water pressure, and the time domain data is calculated by a formula Time-sharing pressure/>, to obtain water pressureP i is water pressure time domain data, and N is sampling statistics;
By the formula Calculating pulsation data P' of the water pressure, namely the pulsation water pressure; performing autocorrelation on the pulsating water pressure, performing fast Fourier transform FFT on the pulsating water pressure after the autocorrelation to obtain frequency domain data of the pulsating water pressure, and drawing a spectrogram; the signal characteristics of the pressure frequency spectrum under each working condition are obtained, and then the relation between the water flow impact acting force and the water noise generated by the impact is analyzed;
the root mean square value P RMS of the pulse pressure is calculated by the formula Calculate the mean square value/>, of the water pressureThen root mean square of the pulsating pressure is obtained by root mean square, namely/>
The spectrum analysis, namely the amplitude spectrum and the self-power spectrum of the water pressure can be obtained after FFT, the dominant frequency range with concentrated energy and the main frequency with most concentrated energy can be obtained through analysis, and the characteristic and the relation of the water noise spectrum can be discussed in frequency through analysis and comparison; the root mean square of the pulsating pressure represents the amplitude of the pulsating pressure, and the change trend and the relation of the pulsating pressure and the noise sound pressure level can be discussed by researching the change rule of the pulsating pressure and the noise sound pressure level;
Measuring the flow velocity of each point in the flow field by using a three-dimensional profile flow velocity meter, converting the three-dimensional flow velocity into turbulent energy by using a formula k=0.5 (u r'ur'+uθ'uθ'+uz'uz'), performing spectrum analysis by using the data of the turbulent energy, drawing a spectrogram to analyze the energy change rule generated by the turbulent fluctuation of the water flow under each working condition, and further analyzing the turbulent noise generated by the turbulent fluctuation of the water flow;
k is turbulence energy, which characterizes the energy of turbulence; u r'、uθ'、uz' represents the pulsating flow rate in the three directions of transverse, longitudinal and vertical at a certain point in the water, the pulsating flow rate is calculated to be the same as the pulsating pressure, namely the pulsating flow rate is the difference between the time domain flow rate and the time average flow rate.
CN202410020027.0A 2024-01-06 2024-01-06 Urban landscape dam under-water drainage running water noise exploration method Pending CN118130039A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202410020027.0A CN118130039A (en) 2024-01-06 2024-01-06 Urban landscape dam under-water drainage running water noise exploration method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202410020027.0A CN118130039A (en) 2024-01-06 2024-01-06 Urban landscape dam under-water drainage running water noise exploration method

Publications (1)

Publication Number Publication Date
CN118130039A true CN118130039A (en) 2024-06-04

Family

ID=91234985

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202410020027.0A Pending CN118130039A (en) 2024-01-06 2024-01-06 Urban landscape dam under-water drainage running water noise exploration method

Country Status (1)

Country Link
CN (1) CN118130039A (en)

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
RU2151234C1 (en) * 1998-11-25 2000-06-20 Селезнев Виктор Сергеевич Method for determining dynamic characteristics of base and body of dam at hydroelectric power station by measuring pulses built up when starting hydropower units
CN101936956A (en) * 2010-07-05 2011-01-05 天津大学 Monitoring system and method of arch dam
CN109141617A (en) * 2018-08-02 2019-01-04 哈尔滨工程大学 A kind of device and method for measuring model stream in the active section of water hole and swashing noise
CN109540282A (en) * 2018-11-23 2019-03-29 中国船舶重工集团公司第七〇九研究所 A kind of hydrodynamic noise identifing source and isolated test macro and its building method
CN111523220A (en) * 2020-04-17 2020-08-11 中国空气动力研究与发展中心高速空气动力研究所 Fan and compressor rotating-static interference broadband noise rapid prediction method considering flow influence
CN113111605A (en) * 2021-04-09 2021-07-13 大连理工大学 Method for forecasting noise of modulated ventilation cavitation flow
CN113624440A (en) * 2021-08-05 2021-11-09 中国航空工业集团公司沈阳飞机设计研究所 Method for arranging pulsating pressure measuring points of high-speed buffeting test model

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
RU2151234C1 (en) * 1998-11-25 2000-06-20 Селезнев Виктор Сергеевич Method for determining dynamic characteristics of base and body of dam at hydroelectric power station by measuring pulses built up when starting hydropower units
CN101936956A (en) * 2010-07-05 2011-01-05 天津大学 Monitoring system and method of arch dam
CN109141617A (en) * 2018-08-02 2019-01-04 哈尔滨工程大学 A kind of device and method for measuring model stream in the active section of water hole and swashing noise
CN109540282A (en) * 2018-11-23 2019-03-29 中国船舶重工集团公司第七〇九研究所 A kind of hydrodynamic noise identifing source and isolated test macro and its building method
CN111523220A (en) * 2020-04-17 2020-08-11 中国空气动力研究与发展中心高速空气动力研究所 Fan and compressor rotating-static interference broadband noise rapid prediction method considering flow influence
CN113111605A (en) * 2021-04-09 2021-07-13 大连理工大学 Method for forecasting noise of modulated ventilation cavitation flow
CN113624440A (en) * 2021-08-05 2021-11-09 中国航空工业集团公司沈阳飞机设计研究所 Method for arranging pulsating pressure measuring points of high-speed buffeting test model

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
李莎莎: "无坎宽顶堰水噪声产生机理物理模型试验研究", 人民长江, vol. 51, no. 1, 28 January 2020 (2020-01-28), pages 195 - 202 *
胡志华: "消力池水流噪声产生机理及影响因素研究", CNKI博士电子期刊, 15 January 2016 (2016-01-15), pages 22 - 25 *

Similar Documents

Publication Publication Date Title
Szepessy et al. Aspect ratio and end plate effects on vortex shedding from a circular cylinder
Li et al. Effects of vegetation patch density on flow velocity characteristics in an open channel
Hurther et al. Turbulent transport in the outer region of rough-wall open-channel flows: the contribution of large coherent shear stress structures (LC3S)
CN110455479A (en) A kind of cylinder vortex-induced vibration experimental provision of micro-structure damping, analogy method
Goldman et al. Measurement of the acoustic impedance of an orifice under a turbulent boundary layer
CN110297104A (en) A kind of river represents vertical velocity profile real-time online measuring method
Sun et al. Spanwise correlation of vortex-induced forces on typical bluff bodies
CN109540282A (en) A kind of hydrodynamic noise identifing source and isolated test macro and its building method
CN102680076B (en) Device for simulating human vocal cord vibration and implementation method thereof
CN112065629B (en) Method for detecting clearance cavitation primary of through-flow turbine
Denys et al. Fluid structure interaction of piano key weirs
Wang et al. Laboratory study on the drag coefficient for mangrove forests in regular waves
CN118130039A (en) Urban landscape dam under-water drainage running water noise exploration method
CN106289506B (en) A method of flow field wall surface microphone array noise signal is eliminated using POD decomposition method
Federspiel et al. Dynamic response of a rock block in a plunge pool due to asymmetrical impact of a high-velocity jet
Arndt Cavitation research from an intetrnational perspective
Zhang et al. Pressure and velocity fluctuations in stilling basins
Tomimatsu et al. Measurement of aerodynamic noise and unsteady flow field around a symmetrical airfoil
Heenan et al. Turbulent boundary layers on axially inclined cylinders. Part 1. Surface-pressure/velocity correlations
Deng et al. Prototype measurements of pressure fluctuations in The Dalles Dam stilling basin
Wang et al. Experimental and Simulation Research on Flow Noise of Underwater High Speed Vehicles
Arcondoulis et al. Aeroacoustic performance of cylinders with a circumferential varying porous coating
Gu et al. Study on the methods to estimate the bed shear stresses in Yangtze estuary
GARGARI ISTANBUL TECHNICAL UNIVERSITY★ GRADUATE SCHOOL
Kos’yan et al. The dependence of suspended sand concentration on the degree of storm development

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination