CN113849994A - Indoor secondary radiation noise prediction method and model caused by fixed equipment - Google Patents

Indoor secondary radiation noise prediction method and model caused by fixed equipment Download PDF

Info

Publication number
CN113849994A
CN113849994A CN202111067302.7A CN202111067302A CN113849994A CN 113849994 A CN113849994 A CN 113849994A CN 202111067302 A CN202111067302 A CN 202111067302A CN 113849994 A CN113849994 A CN 113849994A
Authority
CN
China
Prior art keywords
building
aeq
secondary radiation
radiation noise
model
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
CN202111067302.7A
Other languages
Chinese (zh)
Inventor
卢铃
翟国庆
谢紫银
曹浩
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.)
Electric Power Research Institute of State Grid Hunan Electric Power Co Ltd
Original Assignee
Electric Power Research Institute of State Grid Hunan Electric Power Co Ltd
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 Electric Power Research Institute of State Grid Hunan Electric Power Co Ltd filed Critical Electric Power Research Institute of State Grid Hunan Electric Power Co Ltd
Priority to CN202111067302.7A priority Critical patent/CN113849994A/en
Publication of CN113849994A publication Critical patent/CN113849994A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • G06F30/23Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
    • 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
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/14Fourier, Walsh or analogous domain transformations, e.g. Laplace, Hilbert, Karhunen-Loeve, transforms
    • G06F17/141Discrete Fourier transforms
    • G06F17/142Fast Fourier transforms, e.g. using a Cooley-Tukey type algorithm
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/10Noise analysis or noise optimisation

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Business, Economics & Management (AREA)
  • Strategic Management (AREA)
  • General Engineering & Computer Science (AREA)
  • Economics (AREA)
  • Human Resources & Organizations (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Algebra (AREA)
  • Evolutionary Computation (AREA)
  • Software Systems (AREA)
  • Discrete Mathematics (AREA)
  • Development Economics (AREA)
  • Geometry (AREA)
  • Game Theory and Decision Science (AREA)
  • Databases & Information Systems (AREA)
  • Computer Hardware Design (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Marketing (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Tourism & Hospitality (AREA)
  • General Business, Economics & Management (AREA)
  • Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)

Abstract

The invention discloses a method and a model for predicting indoor secondary radiation noise caused by fixed equipment, belonging to the field of noise prediction, wherein the method comprises the steps of introducing a building vibration response finite element model caused by the fixed equipment, establishing a building acoustic boundary element model by adopting an Acoustics acoustic module in LMS virtual. Setting material parameters of a sound propagation medium (air) in the building acoustic boundary meta-model; extracting a result file of the building vibration response finite element model, converting acceleration time domain data of vibration response in the file into frequency domain data by utilizing fast Fourier transform, and mapping the frequency domain data to an acoustic boundary element grid; and setting a secondary radiation noise prediction point at a position 1.2m higher from the ground of each floor as an output site. The model comprises a building indoor secondary radiation noise single value prediction model and a frequency division prediction model. The whole prediction method and model are simple and convenient.

Description

Indoor secondary radiation noise prediction method and model caused by fixed equipment
Technical Field
The invention relates to the field of noise prediction, in particular to a method and a model for predicting indoor secondary radiation noise caused by fixed equipment.
Background
With the rapid development of economic society, the living standard of people is increasing day by day, and the requirements for living environment are also continuously increased. Sound and vibration are one of the main factors influencing indoor environment, and when vibration sources (such as air conditioning equipment, a transformer, an elevator tractor and other fixed equipment) in a building run, the vibration is transmitted to a building structure through a base, so that indoor secondary radiation noise pollution is caused, and noise disturbing accidents and complaint events are increased year by year. In order to meet the increasing demand of good life of people and construct a harmonious living environment, the prediction of indoor secondary radiation noise caused by fixed equipment in a building needs to be researched, a model capable of predicting the secondary radiation noise is developed, and a basis is provided for the prediction of the indoor secondary radiation noise caused by the fixed equipment.
Disclosure of Invention
The invention aims to provide a method for predicting indoor secondary radiation noise caused by fixed equipment, which can calculate the indoor secondary radiation noise caused by the fixed equipment in a building.
The invention also aims to provide a prediction model of indoor secondary radiation noise caused by fixed equipment, which is realized by utilizing the prediction method of indoor secondary radiation noise caused by fixed equipment and can predict indoor secondary radiation noise of different floors caused by fixed equipment in a building.
In order to achieve the above object, the present invention provides a method for predicting indoor secondary radiation noise caused by a fixed device, comprising the following steps:
(1) introducing a building vibration response finite element model caused by fixed equipment, establishing a building acoustic boundary element model by adopting an Acoustics acoustic module in LMS virtual.
(2) Setting material parameters of a sound propagation medium (air) in the building acoustic boundary meta-model;
(3) extracting a result file of the building vibration response finite element model, converting acceleration time domain data of vibration response in the file into frequency domain data by utilizing fast Fourier transform, and mapping the data to an acoustic boundary element grid by using a maximum distance method;
(4) and setting a secondary radiation noise prediction point at a position 1.2m higher from the ground of each floor as an output site.
Preferably, in the step (1), in the building vibration response finite element model, a building room where the secondary radiation noise prediction point is located is a closed cavity structure, a surface mesh of the room structure is directly extracted as a boundary element mesh, and the boundary element mesh is introduced into LMS virtual.
In order to achieve the other object, the indoor secondary radiation noise prediction model caused by the fixed equipment provided by the invention is realized based on the indoor secondary radiation noise prediction method caused by the fixed equipment, and comprises a building indoor secondary radiation noise single-value prediction model and a frequency division prediction model.
In the above technical solution, the indoor secondary radiation noise single value prediction model caused by the fixed equipment has a calculation formula as follows:
LAeq,n=LAeq,1+ΔLAeq,n
Figure RE-GDA0003377734190000021
in the formula, LAeq,nEquivalent continuous A sound level of indoor secondary radiation noise of the nth floor of the building; Δ LAeq,nIs LAeq,nAnd LAeq,1The difference between the values. L isp,iSound pressure level, dB, for the ith octave band; cf,iThe correction value, dB, is weighted for the ith octave band a.
The indoor secondary radiation noise frequency division prediction model caused by the fixed equipment has the following calculation formula:
LAeq,i=Laeq, i, building 1 floor-ΔLAeq,i
In the formula, LAeq,iFor building L on the ith octave at the central point of a certain floorAeq,dB; LAeq, i, building 1 floorFor building L on ith octave at one floor center pointAeq,dB;ΔLAeq,iFor the central point of a certain floor to be relative to the central point of a floor of the building on the ith octaveAeqIn dB.
Preferably, in the indoor secondary radiation noise single value and frequency division prediction model caused by the fixed equipment, the fixed equipment is arranged on the negative floor of the building.
Compared with the prior art, the invention has the beneficial effects that:
(1) the method for predicting the indoor secondary radiation noise caused by the fixed equipment can predict the indoor secondary radiation noise more simply, conveniently and quickly.
(2) The indoor secondary radiation noise single value prediction model caused by the fixed equipment can predict indoor secondary radiation noise of different floors of a building more quickly.
(3) The indoor secondary radiation noise frequency division prediction model caused by the fixed equipment considers the frequency spectrum characteristic of the secondary radiation noise, can better represent the attenuation characteristic of the secondary radiation noise on specific frequency, and further improves the prediction accuracy on the basis of a single-value prediction model.
Drawings
Fig. 1 is a schematic flow chart of a method for predicting indoor secondary radiation noise caused by a distribution transformer according to an embodiment of the present invention;
fig. 2 is a difference value of equivalent continuous a sound levels of indoor secondary radiation noise of an nth layer and an indoor secondary radiation noise of a first layer in an indoor secondary radiation noise single value prediction model caused by a distribution transformer according to an embodiment of the present invention;
fig. 3 is an attenuation amount of an equivalent continuous a sound level in an ith octave of a central point of a floor of a multi-story building (8 floors) relative to a central point of a floor in an indoor secondary radiation noise frequency division prediction model caused by a distribution transformer according to an embodiment of the present invention;
fig. 4 is an attenuation amount of an equivalent continuous a sound level in an ith octave of a floor center point of a high-rise building (20 floors) relative to a floor center point in an indoor secondary radiation noise frequency division prediction model caused by a distribution transformer according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described with reference to the following embodiments and accompanying drawings.
Examples
Taking a distribution transformer (fixed equipment) which is arranged in a building with a negative layer in a multi-layer (8-layer) or high-rise (20-layer) building with a frame and shear walls as an example, when the distribution transformer runs, vibration is transmitted to a building structure through a base, and indoor secondary radiation noise pollution is caused. Therefore, the method of the embodiment is adopted to predict indoor secondary radiation noise of different floors caused by distribution transformers in frames, shear walls and high-rise buildings, and a corresponding prediction model is established.
Referring to fig. 1, the method for predicting indoor secondary radiation noise caused by a distribution transformer in a frame, a shear wall, a multi-story building and a high-rise building of the embodiment includes the following steps:
(1) introducing a frame, shear wall multi-layer and high-rise building vibration response finite element model caused by a distribution transformer, establishing a building acoustic boundary element model by adopting an Acoustics module in LMS virtual.
(2) Setting material parameters of a sound propagation medium (air) in the building acoustic boundary meta-model;
(3) extracting a result file of the building vibration response finite element model, converting acceleration time domain data of vibration response in the file into frequency domain data by utilizing fast Fourier transform, and mapping the data to an acoustic boundary element grid by using a maximum distance method;
(4) and setting a secondary radiation noise prediction point at a position 1.2m higher from the ground of each floor as an output site.
In order to further optimize the above technical scheme, in the building vibration response finite element model in step (1), a building room where a secondary radiation noise prediction point is located is a closed cavity structure, a surface mesh of the room structure is directly extracted as a boundary element mesh, and the boundary element mesh is introduced into LMS visual.
The material parameters in the step (2) are as follows: the propagation speed of sound in the air is 340m/s2Air density of 1.23kg/m3Acoustic impedance of 417kg · s/m2
Based on the simulation result obtained by the prediction method, an indoor secondary radiation noise single value prediction model caused by the distribution transformer in the frame, the shear wall and the high-rise building is established, and the calculation formula is as follows:
LAeq,n=LAeq,1+ΔLAeq,n
Figure RE-GDA0003377734190000051
in the formula, LAeq,nEquivalent continuous A sound levels of secondary radiation noise in the nth floor of the high-rise building are obtained by the method; Δ LAeq,nIs LAeq,nAnd LAeq,1The difference between the values. L isp,iSound pressure level, dB, for the ith octave band; cf,iThe correction value, dB, is weighted for the ith octave band a. Wherein Δ LAeq,nValues are taken as shown in figure 2.
The indoor secondary radiation noise frequency division prediction model caused by the distribution transformer in the frame, the shear wall and the multi-storey high-rise building is provided. The calculation formula is as follows:
LAeq,i=Laeq, i, building 1 floor-ΔLAeq,i
In the formula, LAeq,iIs L on the ith octave at the central point of a certain floor of a frame, a plurality of layers of shear walls and a high-rise buildingAeq,dB;LAeq, i, building 1 floorFor building L on ith octave at one floor center pointAeq,dB;ΔLAeq,iFor the central point of a certain floor to be relative to the central point of a floor of the building on the ith octaveAeqAttenuation ofAmount, dB. The values are shown in fig. 3 and 4.
The above description is only exemplary of the preferred embodiments of the present invention, and is not intended to limit the present invention, and any modifications, equivalents, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (6)

1. The method for predicting the indoor secondary radiation noise caused by the fixed equipment is characterized by comprising the following steps of:
(1) introducing a building vibration response finite element model caused by fixed equipment, establishing a building acoustic boundary element model by adopting an Acoustics acoustic module in LMS virtual.
(2) Setting material parameters of a sound transmission medium in the building acoustic boundary meta-model;
(3) extracting a result file of the building vibration response finite element model, converting acceleration time domain data of vibration response in the file into frequency domain data by utilizing fast Fourier transform, and mapping the data to an acoustic boundary element grid by using a maximum distance method;
(4) and setting a secondary radiation noise prediction point at a position 1.2m higher from the ground of each floor as an output site.
2. The method for predicting indoor secondary radiation noise caused by fixed equipment according to claim 1, wherein in the step (1), in the building vibration response finite element model, a building room where a secondary radiation noise prediction point is located is a closed cavity structure, a surface mesh of the room structure is directly extracted as a boundary element mesh, and the boundary element mesh is introduced into LMS virtual.
3. Indoor secondary radiation noise prediction model caused by fixed equipment, which is realized based on the indoor secondary radiation noise prediction method caused by fixed equipment in claim 1 or 2, is characterized by comprising a building indoor secondary radiation noise single-value prediction model and a frequency division prediction model.
4. The stationary equipment-induced indoor secondary radiation noise single-valued prediction model according to claim 3, is characterized in that the calculation formula is as follows:
LAeq,n=LAeq,1+ΔLAeq,n
Figure FDA0003258963650000021
in the formula, LAeq,nEquivalent continuous A sound level of indoor secondary radiation noise of the nth floor of the building; Δ LAeq,nIs LAeq,nAnd LAeq,1The difference between the values. L isp,iSound pressure level, dB, for the ith octave band; cf,iThe correction value, dB, is weighted for the ith octave band a.
5. The fixed equipment induced indoor secondary radiation noise frequency division prediction model according to claim 3, characterized in that the calculation formula is as follows:
LAeq,i=Laeq, i, building 1 floor-ΔLAeq,i
In the formula, LAeq,iFor building L on the ith octave at the central point of a certain floorAeq,dB;LAeq, i, building 1 floorFor building L on ith octave at one floor center pointAeq,dB;ΔLAeq,iFor the central point of a certain floor to be relative to the central point of a floor of the building on the ith octaveAeqIn dB.
6. The fixed-equipment induced indoor secondary radiation noise single-valued and frequency-division prediction model according to claim 4 or 5, characterized in that the fixed equipment is placed in the minus floor of a building.
CN202111067302.7A 2021-09-13 2021-09-13 Indoor secondary radiation noise prediction method and model caused by fixed equipment Pending CN113849994A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111067302.7A CN113849994A (en) 2021-09-13 2021-09-13 Indoor secondary radiation noise prediction method and model caused by fixed equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111067302.7A CN113849994A (en) 2021-09-13 2021-09-13 Indoor secondary radiation noise prediction method and model caused by fixed equipment

Publications (1)

Publication Number Publication Date
CN113849994A true CN113849994A (en) 2021-12-28

Family

ID=78973915

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111067302.7A Pending CN113849994A (en) 2021-09-13 2021-09-13 Indoor secondary radiation noise prediction method and model caused by fixed equipment

Country Status (1)

Country Link
CN (1) CN113849994A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116400627A (en) * 2023-04-13 2023-07-07 深圳市丰源升科技有限公司 Industrial remote control system and method based on 5G

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116400627A (en) * 2023-04-13 2023-07-07 深圳市丰源升科技有限公司 Industrial remote control system and method based on 5G

Similar Documents

Publication Publication Date Title
Abdou Measurement of acoustical characteristics of mosques in Saudi Arabia
Hansen et al. Outdoor to indoor reduction of wind farm noise for rural residences
CN103004624B (en) Animal noise stimulation box
CN113849994A (en) Indoor secondary radiation noise prediction method and model caused by fixed equipment
CN104315879A (en) Noise control method for cooling tower
Nowoświat et al. The effect of acoustical remedies changing the reverberation time for different frequencies in a dome used for worship: A case study
CN105938511A (en) City substation noise control method and system
Garg Environmental noise control: The Indian perspective in an international context
Bibby et al. Field measurement of the acoustical and airflow performance of interior natural-ventilation openings and silencers
Jeong Prediction and reduction of alarm sound propagation through escape stairways
Kang Scale modelling for improving the speech intelligibility from multiple loudspeakers in long enclosures by architectural acoustic treatments
Hawkins Studies and research regarding sound reduction materials with the purpose of reducing sound pollution
Kumar et al. Mitigating the toilet flush noise: A psychometric analysis of noise assessment and design of labyrinthine acoustic Meta-absorber for noise mitigation
CN216195617U (en) Composite sound absorption structure suitable for 220kV transformer substation
Nilsson et al. Room acoustical measures for open plan spaces
Bibby et al. Prediction study of factors affecting speech privacy between rooms and the effect of ventilation openings
Tufaner Reduction through Brick Wall Barrier and Acoustic Sponge of Environmental Noise Levels from Chiller Cooling System
Dijckmans The influence of finite dimensions on the sound insulation of double walls
CN118194624B (en) Method and system for predicting indoor structural noise of subway adjacent residential building
Khan et al. Noise Control in Buildings
Pilch et al. Impact sound reduction measurement method for lightweight floor screed
Bhatia HVAC Systems Noise Control
Simion et al. NOISE LEVEL REDUCTION BY USING SOUND INSULATION/SOUND ABSORBENT MATERIALS
Robin Acoustics Week in Canada 2020-Program
Du Noise characteristics analysis and control technique for profile-shaped buildings considering structure-acoustic sensitivity

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