Construction method of typical building vibration response characteristic curve

Abstract

The invention relates to the technical field of vibration, and discloses a typical building vibration response characteristic curve construction method, which is characterized in that on the basis of an existing guide rule prediction method, links are established for missing parameters in a guide rule through a characteristic curve construction method, and a comprehensive prediction model from a Z vibration level to a vibration speed level and then to structural noise is realized. The model breaks through the existing technical bottleneck of the industry, and the prediction accuracy and stability are improved. The method shows an excellent effect in practical application, and is expected to become a new standard for structural noise prediction and analysis in the industry.

Description

Technical Field

[0001] The present invention relates to the technical field of vibration, and in particular to a method for constructing a characteristic curve of vibration response of typical buildings. Background Technique

[0002] Secondary structure noise is a key content in the environmental impact assessment of urban rail transit underground lines and is also one of the factors that are most likely to cause complaints after the line is put into operation. For the prediction of structure noise, empirical formulas or numerical simulations based on vibration are usually used. In the existing environmental impact assessment guideline HJ453-2018, the prediction of secondary structure noise is obtained by correction based on the vibration velocity level, and the prediction formula is as follows:

[0003] For a concrete floor slab:

[0004] L p,i =L Vmid,i -22

[0005] In the formula,

[0006] L p,i ——The maximum 1 / 3 octave sound pressure level (16 - 200 Hz) in the indoor space of the building during the passage of a single train, dB;

[0007] L Vmid,i ——The 1 / 3 octave vibration velocity level (16 - 200 Hz) in the vertical direction at the center of the indoor floor slab of the building during the passage of a single train, with the reference vibration velocity reference value being 1×10-9 m / s, dB;

[0008] i——The i-th 1 / 3 octave, i = 1 - 12.

[0009] The above is applicable to a room with a general decoration with a height of about 2.8 m and a reverberation time of about 0.8 s. If it deviates from this condition, it is calculated according to the following precise formula:

[0010]

[0011] In the formula,

[0012] σ——Sound radiation efficiency, and when the vibration dominant frequency of the building floor slab is usually considered, the sound radiation efficiency σ can be approximately taken as 1;

[0013] H——Average height of the room;

[0014] T 60 ——Indoor reverberation time.

[0015] The maximum equivalent continuous A-weighted sound level L Aeq,Tp in the indoor space of the building during the passage of a single train is calculated according to the following formula:

[0016]

[0017] L Aeq,Tp ——The maximum equivalent continuous A-weighted sound level (16 - 200 Hz) of the indoor space of the building during the passing of a single train, dB(A);

[0018] L p,i ——The maximum 1 / 3 octave band sound pressure level (16 - 200 Hz) of the indoor space of the building during the passing of a single train, dB(A);

[0019] C f,i ——The A-weighting correction value for the i-th frequency band, dB;

[0020] n —— The number of 1 / 3 octave bands.

[0021] The following problems exist in the practical application of the above prediction model in environmental impact assessment prediction:

[0022] ① In this formula, the vibration velocity level of the indoor floor slab of the building is used to predict the secondary structure noise, but no specific method is given for how to determine the vibration velocity level of the floor slab. Regarding the vibration velocity level of the floor slab proposed in the guidelines, it can be obtained based on analog measurement, research results in line with engineering practice, etc. Currently, there is no proven research result that can be directly applied.

[0023] ② There is a certain disconnection in the prediction content of environmental vibration by this method. In China, the measurement and evaluation quantity of environmental vibration both adopt the Z vibration level, that is, the total vibration level of the weighted vibration acceleration obtained after Z-weighting correction, and the frequency range is 1 - 80 Hz.

[0024] The Z vibration level is a single value and does not involve the 1 / 3 octave band vibration level. Therefore, from the predicted value of the maximum Z vibration level VL Zmax it is impossible to calculate the 1 / 3 octave band vibration velocity level (16 - 200 Hz) required for predicting the secondary structure noise through correlation.

[0025] Therefore, when predicting the indoor structure noise according to the empirical formula in the existing guidelines, on the one hand, no reference method for obtaining the vibration velocity level is given, and on the other hand, no correlation calculation method is given between the vibration velocity level and the vibration prediction parameter VL Zmax As a result, the prediction method of secondary structure noise in the existing guidelines is difficult to apply in actual environmental impact assessment work.

[0026] There are few patents on the prediction method of structural noise in the underground section of rail transit. Only the following 2 patent specifications are retrieved: The patent specification of "A Prediction Method and System for Indoor Structural Noise in Subways near Buildings" (application number 202311759280.X) discloses a method for predicting structural noise. By obtaining the significant vibration acceleration level at the room boundary, the corresponding low frequencies in the 1 / 3 octave band, the influence factor of the room acoustic cavity normal mode, the correction coefficient related to the radiation efficiency of the floor slab and the sound absorption amount in the room, and the correction amount of the correlation between the acceleration level and the sound pressure level, the sound pressure level and the equivalent sound level are calculated. This method predicts structural noise by combining the empirical relationship between the acceleration level and the sound pressure level with relevant corrections. However, this method involves numerous parameters, and each parameter needs to be obtained through numerical simulation calculation or analog test methods. There are certain technical barriers in the parameter acquisition method, and it is difficult in actual environmental impact assessment work. The patent specification of "Prediction Method of Environmental Vibration and Secondary Structural Noise Caused by Underground Rail Transit Lines" (application number 202111524313.3) focuses on the prediction method of structural noise, which focuses on elaborating the changes in ground environmental vibration caused by trains along the rail transit line. By fitting the measured vibration attenuation to obtain the vibration attenuation change curve, and on this basis, the prediction formula of secondary structural noise is obtained according to the fitting calculation between the secondary structural noise and the vibration level. It is greatly affected by on-site measurement conditions, and the fitting formula does not have universality.

[0027] Therefore, in the current industry, there is still a lack of a mature and effective prediction technology for the secondary structural noise caused by the underground section of rail transit. Summary of the Invention

[0028] The main purpose of the present invention is to solve the technical problem that there is still a lack of a mature and effective prediction technology for the prediction of secondary structural noise caused by the underground section of rail transit. A method for constructing a characteristic curve of the vibration response of a typical building includes the following steps:

[0029] Obtain the basic parameters of the predicted building, including the geological characteristics of the area where it is located, the building type, the location of the prediction point, the room floor height, and the indoor reverberation time parameter;

[0030] Obtain the track-related parameters, including the source strength of the train operation vibration VL Z0max , the train operation speed at the prediction point, vehicle parameters, wheel-rail condition parameters, tunnel type, distance attenuation correction parameter, and train operation density data;

[0031] Calculate the indoor vibration Z vibration level VL Zmax at the prediction point, and the formula is as follows:

[0032] VL Zmax = VL Z0max + C VB

[0033] Where CVB is the vibration correction amount;

[0034] According to the geological characteristics and building types of the prediction points, retrieve the building indoor structure noise prediction database, and obtain the typical vibration data of the reference points, including the Z vibration level VL Z,k , the 1 / 3 octave vibration velocity level, and the 1 / 3 octave vibration velocity level L in the range of 16 - 200 Hz V,i,k of the reference points, and the environmental condition information of the reference points;

[0035] Calculate the correction amount K value of the prediction point:

[0036] K = VL Z - VL Z,k

[0037] Calculate the 1 / 3 octave vibration velocity level of the prediction point:

[0038] L V,i = L V,i,k + K

[0039] Calculate the 1 / 3 octave sound pressure level of the structure noise at the prediction point;

[0040]

[0041] Among them, σ is the sound radiation efficiency, and when the vibration dominant frequency of the building floor is usually considered, the sound radiation efficiency σ can be approximately taken as 1; H is the average height of the room at the prediction point, in m; T 60 is the reverberation time in the room at the prediction point, in s;

[0042] Calculate the equivalent continuous A-weighted sound level L of the structure noise at the prediction point Aeq,Tp :

[0043]

[0044] The construction method of the building indoor structure noise prediction database includes:

[0045] Identify the relevant factors affecting the indoor vibration of the building, refine the classification and code them;

[0046] According to the categories of the vibration-related factors, divide the buildings into several typical categories;

[0047] For each category of buildings, select several typical buildings to conduct on-site tests on the indoor vibration acceleration and Z vibration level, and obtain the indoor vibration data of the typical buildings;

[0048] Check the data accuracy and integrity of the vibration data of the typical buildings, and remove the invalid data or inconsistent data;

[0049] Verify the data typicality;

[0050] Process the data standard;

[0051] Store the standardized data in the database to construct a database of indoor vibration characteristics of buildings.

[0052] The specific refinement classification and coding are as follows:

[0053] According to the geological type characteristics, the geological types in different regions can be divided into 4 categories: soft soil, medium-soft soil, medium-hard soil, hard soil / rock, and are coded as 1, 2, 3, 4 in sequence;

[0054] According to the building structure, buildings are divided into: high-rise buildings (above 7 floors), multi-story buildings (3 - 6 floors), low-rise brick-concrete (or concrete) buildings (1 - 2 floors), low-rise wooden buildings (1 - 2 floors), and are coded as 1, 2, 3, 4 in sequence;

[0055] Classify the track characteristics according to the tunnel type, wheel-rail conditions, line plane conditions, track vibration reduction measures, and line burial depth:

[0056] ⑥ Tunnel type classification: single-track tunnel, double-track tunnel, station, and are coded as 1, 2, 3 in sequence;

[0057] ⑦ Wheel-rail condition classification: continuous welded rail, jointed rail, turnout, and are coded as 1, 2, 3 in sequence;

[0058] ⑧ Line plane conditions: straight section or curve radius R≥1000m, 500<R≤1000m, R≤500m, and are coded as 1, 2, 3 in sequence;

[0059] ⑨ Track vibration reduction measures: general vibration reduction, medium vibration reduction, high vibration reduction, special vibration reduction, and are coded as 1, 2, 3, 4 in sequence;

[0060] ⑩ Line burial depth H: H≤10m, 10m<H≤15m, 15m<H≤20m, H>20m, and are coded as 1, 2, 3, 4 in sequence;

[0061] According to the horizontal distance r between the building and the rail transit line, it is divided into 4 categories: r≤10m, 10m<r≤20m, 20m<r≤30m, r>30m, and are coded as 1, 2, 3, 4 in sequence.

[0062] The formula for the typical category f(n) is:

[0063] f(n)=f(x1,x2,x3,x4,x5,x6,x7,x8)

[0064] Where:

[0065] x1 is the geological category;

[0066] $x_1\in\{1,2,3,4\}=\{\text{soft soil, medium-soft soil, medium-hard soil, hard soil}\}$;

[0067] $x_2$ is the building structure category;

[0068] $x_1\in\{1,2,3,4\}=\{\text{high-rise, multi-story, low-rise brick-concrete, low-rise wood structure}\}$;

[0069] $x_3$ is the tunnel category, $x_3\in\{1,2,3\}=\{\text{single-track tunnel, double-track tunnel, station}\}$;

[0070] $x_4$ is the wheel-rail category, $x_4\in\{1,2,3\}=\{\text{continuous welded rail, jointed rail, turnout}\}$;

[0071] $x_5$ is the track alignment category;

[0072] $x_5\in\{1,2,3\}=\{\text{straight or}R\geq1000m, 500\lt R\leq1000m, R\leq500m\}$;

[0073] $x_6$ is the track vibration reduction measure category;

[0074] $x_6\in\{1,2,3,4\}=\{\text{general vibration reduction, medium vibration reduction, high vibration reduction, special vibration reduction}\}$;

[0075] $x_7$ is the buried depth;

[0076] $x_7\in\{1,2,3,4\}=\{H\leq10m, 10m\lt H\leq15m, 15m\lt H\leq20m, H\gt20m\}$; $x_8$ is the horizontal distance between the building and the track;

[0077] $x_8\in\{1,2,3,4\}=\{r\leq10m, 10m\lt r\leq20m, 20m\lt r\leq30m, r\gt30m\}$.

[0078] The method for carrying out data typicality verification is as follows:

[0079] Compare and analyze the vibration spectrum data of buildings of the same type, and eliminate the data with large differences;

[0080] Integrate the vibration data of buildings of the same type to obtain the vibration data of typical buildings of this type;

[0081] Use the typical vibration data for structure-borne noise prediction, compare the predicted structure-borne noise value with the measured structure-borne noise value. When the difference is less than the threshold, the vibration data is valid.

[0082] The content of the standardized data format includes: serial number, geological code, building structure code, track line characteristic code, distance parameter, Z vibration level data, vibration velocity level 1 / 3 octave spectrum.

[0083] The present invention has the following beneficial effects:

[0084] A method for constructing a characteristic curve of the vibration response of a typical building provided by the present invention, based on the existing guideline prediction method, establishes a link for the missing parameters in the guideline by constructing a characteristic curve, and realizes a comprehensive prediction model from the Z vibration level to the vibration velocity level and then to the structure-borne noise. This model breaks through the existing technical bottleneck in the industry and improves the accuracy and stability of prediction. This invention has shown excellent effects in practical applications and is expected to become a new standard for structure-borne noise prediction and analysis in the industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0085] Figure 1 It is a schematic diagram of a method for constructing a building indoor vibration characteristic database;

[0086] Figure 2 It is a schematic diagram of a building divided into several typical categories;

[0087] Figure 3 It is a schematic diagram of a method for predicting the secondary structure-borne noise in a building. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0088] The terms "first", "second", "third", "fourth", etc. (if any) in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and do not necessarily describe a specific order or sequence. It should be understood that such used data can be interchanged under appropriate circumstances so that the embodiments described herein can be implemented in an order different from that shown or described herein. In addition, the terms "comprising" or "having" and any variation thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0089] For ease of understanding, the following describes the specific process of the embodiments of the present invention. Please refer to Figure 1 , the first embodiment of the method for constructing a characteristic curve of the vibration response of a typical building in the embodiments of the present invention includes:

[0090] A method for constructing a characteristic curve of the vibration response of a typical building includes the following steps:

[0091] Obtain the basic parameters of the predicted building, including the geological characteristics of the area where it is located, the building type, the location of the prediction point, the floor height of the room, and the indoor reverberation time parameter;

[0092] Obtain the track-related parameters, including the train operation vibration source strength VL Z0max, train operation speed, vehicle parameters, wheel-rail condition parameters, tunnel type, distance attenuation correction parameters, and train operation density data at the prediction point;

[0093] Calculate the indoor vibration Z vibration level VL at the prediction point Zmax , and the formula is as follows:

[0094] VL Zmax = VL Z0max + C VB

[0095] Among them, C VB is the vibration correction amount;

[0096] According to the geological characteristics and building types of the prediction point, retrieve the building indoor structure noise prediction database to obtain the typical vibration data of the reference point, including the Z vibration level VL Z,k of the reference point, the 1 / 3 octave vibration velocity level, and the 1 / 3 octave vibration velocity level L V,i,k in the range of 16 - 200 Hz, and the environmental condition information of the reference point;

[0097] Calculate the correction amount K value at the prediction point:

[0098] K = VL Z - VL Z,k

[0099] Calculate the 1 / 3 octave vibration velocity level at the prediction point:

[0100] L V,i = L V,i,k + K

[0101] Calculate the 1 / 3 octave sound pressure level of the structure noise at the prediction point;

[0102]

[0103] Among them, σ is the sound radiation efficiency, and when the vibration dominant frequency of the ordinary building floor is considered, the sound radiation efficiency σ can be approximately taken as 1; H is the average height of the room at the prediction point, m; T 60 is the indoor reverberation time at the prediction point, s;

[0104] Calculate the equivalent sound level L Aeq,Tp of the structure noise at the prediction point:

[0105]

[0106] In order to better carry out the prediction of structure noise, the present invention constructs a building indoor vibration characteristic database. Through this database, the characteristic curves of the vibration responses of different buildings can be obtained, thereby providing basic data for the prediction of structure noise. The construction method of the building indoor vibration characteristic database is as Figure 1As shown below, the specific steps are as follows:

[0107] Step 1, Identification of influencing factors of building interior vibration:

[0108] When a rail transit train passes by, the vibration inside the building is related to geological characteristics, building structure, track line characteristics, the distance between the building and the line, etc. To establish a more refined vibration characteristic database, identify the relevant factors affecting the building interior vibration, classify them in detail and encode them:

[0109] 1.1 According to the geological type characteristics, the geological types in different regions can be divided into 4 categories: soft soil, medium-soft soil, medium-hard soil, hard soil / rock, and are encoded as 1, 2, 3, 4 in sequence.

[0110] 1.2 According to the building structure, buildings are divided into: high-rise buildings (above 7 floors), multi-story buildings (3 - 6 floors), low-rise brick-concrete (or concrete) buildings (1 - 2 floors), low-rise wooden buildings (1 - 2 floors), and are encoded as 1, 2, 3, 4 in sequence.

[0111] 1.3 The characteristics of the rail transit line have a greater impact on vibration. Classify the track characteristics according to tunnel type, wheel-rail conditions, line plane conditions, track vibration reduction measures, line burial depth, etc.:

[0112] Tunnel type classification: single-track tunnel, double-track tunnel, station, and are encoded as 1, 2, 3 in sequence;

[0113] Wheel-rail condition classification: seamless line, jointed line, turnout, and are encoded as 1, 2, 3 in sequence;

[0114] Line plane conditions: straight line section or curve radius R≥1000m, 500<R≤1000m, R≤500m, and are encoded as 1, 2, 3 in sequence;

[0115] Track vibration reduction measures: general vibration reduction, medium vibration reduction, high vibration reduction, special vibration reduction, and are encoded as 1, 2, 3, 4 in sequence;

[0116] Line burial depth H: H≤10m, 10m<H≤15m, 15m<H≤20m, H>20m, and are encoded as 1, 2, 3, 4 in sequence;

[0117] 1.1 According to the horizontal distance r between the building and the rail transit line, it is divided into 4 categories: r≤10m, 10m<r≤20m, 20m<r≤30m, r>30m, and are encoded as 1, 2, 3, 4 in sequence.

[0118] Step 2: Classify buildings into several typical categories according to the categories of vibration-related factors in Step 1, such as Figure 2 as shown.

[0119] f(n) = f(x1, x2, x3, x4, x5, x6, x7, x8)

[0120] where x1 is the geological category, and x1 ∈ {1, 2, 3, 4} = {soft soil, medium-soft soil, medium-hard soil, hard soil};

[0121] x2 is the building structure category, and x1 ∈ {1, 2, 3, 4} = {high-rise, multi-story, low-rise brick-concrete, low-rise wood structure};

[0122] x3 is the tunnel category, and x3 ∈ {1, 2, 3} = {single-track tunnel, double-track tunnel, station};

[0123] x4 is the wheel-rail category, and x4 ∈ {1, 2, 3} = {continuous welded rail, jointed rail, turnout};

[0124] x5 is the line alignment category,

[0125] x5 ∈ {1, 2, 3} = {straight or R ≥ 1000m, 500 < R ≤ 1000m, R ≤ 500m};

[0126] x6 is the track vibration reduction measure category,

[0127] x6 ∈ {1, 2, 3, 4} = {general vibration reduction, medium vibration reduction, high vibration reduction, special vibration reduction};;

[0128] x7 is the buried depth,

[0129] x7 ∈ {1, 2, 3, 4} =

[0130] {H ≤ 10m, 10m < H ≤ 15m, 15m < H ≤ 20m, H > 20m};

[0131] x8 is the horizontal distance between the building and the line,

[0132] x8 ∈ {1, 2, 3, 4} = {r ≤ 10m, 10m < r ≤ 20m, 20m < r ≤ 30m, r > 30m};

[0133] Step 3: Select several typical buildings for each category of buildings to conduct on-site tests on the indoor vibration acceleration and Z vibration level of the buildings, and obtain the indoor vibration data of the typical buildings.

[0134] Step 4: Check the accuracy and integrity of the vibration data of the typical buildings, and remove invalid data or inconsistent data.

[0135] Step 5: Conduct data typicality verification, and the method is as follows:

[0136] (1) Compare and analyze the vibration spectrum data of buildings of the same type, and eliminate the data with large differences;

[0137] (2) Integrate the vibration data of buildings of the same type to obtain the vibration data of typical buildings of this type;

[0138] (3) Use the typical vibration data for structural noise prediction, compare the predicted structural noise value with the measured structural noise value. When the difference is less than the threshold, the vibration data is valid.

[0139] Step 6: Standardize data processing. The standardized data format includes: serial number, geological code, building structure code, track line characteristic code, distance parameter, Z vibration level data, vibration velocity level 1 / 3 octave spectrum;

[0140] Step 7: Store the standardized data in the database to construct a database of indoor vibration characteristics of buildings.

[0141] Using the database of indoor vibration characteristics of buildings, the method for predicting secondary structural noise in buildings is as Figure 3 shown, and the steps are as follows:

[0142] Step 1: Through relevant materials, obtain the basic parameters of the predicted building, including parameters such as the geological characteristics of the area where it is located, building type, location of the prediction point, room floor height, indoor reverberation time, etc.; obtain the relevant parameters of the track, including the vibration source intensity VL of train operation Z0max , the train operation speed at the prediction point, vehicle parameters, wheel-rail condition parameters, tunnel type, distance attenuation correction parameters, train operation density and other data;

[0143] Step 2: Calculate the indoor vibration Z vibration level VL at the prediction point Zmax :

[0144] VL Zmax =VL Z0max +C VB

[0145] In the formula, C VB is the vibration correction amount, which is related to the train speed, vehicle conditions, wheel-rail conditions, tunnel type, distance attenuation, buildings, etc.

[0146] Step 3: According to the geological characteristics and building type of the prediction point, retrieve the database of indoor structural noise prediction of buildings to obtain the typical vibration data of the reference point, including the Z vibration level VL of the reference point Z,k , 1 / 3 octave vibration velocity level and 1 / 3 octave vibration velocity level L V,i,k (in the range of 16 - 200 Hz), information such as the environmental conditions of the reference point;

[0147] Step 4, calculate the correction amount K value of the prediction point:

[0148] K = VL Z -VL Z,k

[0149] Step 5, calculate the 1 / 3 octave vibration velocity level of the prediction point:

[0150] L V,i = L V,i,k + K

[0151] Step 6, calculate the 1 / 3 octave sound pressure level of the structure-borne noise at the prediction point;

[0152]

[0153] In the formula,

[0154] σ —— sound radiation efficiency, when the dominant frequency of the floor vibration of a general building, the sound radiation efficiency σ can be approximately taken as 1;

[0155] H —— average height of the room at the prediction point, m;

[0156] T 60 —— reverberation time in the room at the prediction point, s.

[0157] Step 7, calculate the equivalent sound level L of the structure-borne noise at the prediction point Aeq,Tp (16~200Hz)

[0158]

[0159] Embodiment

[0160] An area with soft soil geology in Shanghai was selected, and the basic characteristic parameters of 3 typical types of buildings in the building indoor vibration characteristic database are shown in the following table:

[0161] Table 2 Data parameters of 3 typical types of buildings in the vibration characteristic database

[0162]

[0163] The method of the present invention was used to conduct tests on the indoor structure-borne noise of 25 randomly selected buildings, as shown in Table 3.

[0164] Table 3 Comparison of noise prediction results and measured results

[0165]

[0166]

[0167] It can be seen that, compared with the measured results, except for individual measuring points, the prediction errors of 80% of the measuring points are within 3 dB(A), and the prediction errors of 68% of the measuring points are within 2 dB(A), indicating that the prediction results are relatively reliable.

[0168] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for constructing a typical building vibration response characteristic curve, characterized in that: The following steps are involved: Obtain the basic parameters of the predicted building, including the geological characteristics of the area, building type, location of the prediction point, room height, and indoor reverberation time parameters; Obtain track related parameters, including train running vibration source strength VL Z0max , train running speed, vehicle parameters, wheel-rail condition parameters, tunnel type, distance attenuation correction parameters, and traffic density data at the prediction point; Calculate the indoor vibration level VL at the prediction point Zmax , the formula is as follows: VL Zmax =VL Z0max +C VB Among them, C VB is the vibration correction amount; According to the geological characteristics and building type of the prediction point, the building indoor structural noise prediction database is retrieved to obtain the typical vibration data of the reference point, including the Z vibration level VL of the reference point Z,k , 1 / 3 octave vibration speed level and 1 / 3 octave vibration speed level L in the range of 16 to 200 Hz V,i,k , environmental condition information of the reference point; Calculate the correction value K of the prediction point: K=VL Z -VL Z,k Calculate the 1 / 3 octave vibration velocity level at the prediction point: L V,i =L V,i,k +K Calculate the 1 / 3 octave band sound pressure level of the structure-borne noise at the prediction point; THE p,i =L V,i +10lgσ-10lgH-20+10lgT 60 Where σ is the sound radiation efficiency, which can be approximately equal to 1 at the dominant frequency of floor vibration in ordinary buildings; H is the average room height at the prediction point, m; T 60 is the indoor reverberation time at the prediction point, s; Calculate the equivalent sound level L of structure-borne noise at the prediction point Aeq,Tp :

2. The method for constructing a typical building vibration response characteristic curve according to claim 1, characterized in that: The method for constructing the building indoor structure noise prediction database comprises: Identify, classify and encode the relevant factors that affect indoor vibration of buildings; Buildings are divided into several typical categories according to the categories of vibration-related factors; For each category of buildings, select several typical buildings to conduct on-site tests on indoor vibration acceleration and Z vibration level to obtain indoor vibration data of typical buildings; Check the accuracy and completeness of vibration data of typical buildings and remove invalid or inconsistent data; Verify the typicality of the data; Processing of data standards; Store the standardized data into the database and construct the building indoor vibration characteristics database.

3. The method for constructing a typical building vibration response characteristic curve according to claim 1, characterized in that: The detailed classification and coding are as follows: According to the characteristics of geological types, the geological types of different regions can be divided into four categories: soft soil, medium-soft soil, medium-hard soil, and hard soil / rock, which are coded as 1, 2, 3, and 4 respectively; According to the building structure, buildings are divided into: high-rise buildings (more than 7 floors), multi-story buildings (3 to 6 floors), low-rise brick-concrete (or concrete) buildings (1 to 2 floors), and low-rise wooden buildings (1 to 2 floors), which are coded as 1, 2, 3, and 4 respectively; Track characteristics are classified according to tunnel type, wheel-rail conditions, line plane conditions, track vibration reduction measures, and line burial depth: ① Tunnel type classification: single-track tunnel, double-track tunnel, station, coded 1, 2, 3 respectively; ② Wheel-rail condition classification: seamless track, jointed track, turnout, coded as 1, 2, 3 respectively; ③Line plane conditions: straight section or curve radius R ≥ 1000m, 500<R ≤ 1000m, R ≤ 500m, coded as 1, 2, 3 respectively; ④ Track vibration reduction measures: general vibration reduction, medium vibration reduction, advanced vibration reduction, special vibration reduction, coded as 1, 2, 3, 4 respectively; ⑤ Line burial depth H: H≤10m, 10m<H≤15m, 15m<H≤20m, H>20m, coded as 1, 2, 3, 4 in sequence; According to the horizontal distance r between the building and the rail transit line, it is divided into 4 categories: r≤10m, 10m<r≤20m, 20m<r≤30m, r>30m, coded as 1, 2, 3, and 4 respectively.

4. The method for constructing a typical building vibration response characteristic curve according to claim 1, characterized in that: The formula for the typical class f(n) is: in: x1 is the geological category; x1∈{1, 2, 3, 4}={soft soil, medium soft soil, medium hard soil, hard soil}; x2 is the building structure category; x1∈{1, 2, 3, 4}={high-rise, multi-story, low-rise brick-concrete, low-rise wooden structure}; x3 is the tunnel type, x3∈{1, 2, 3}={single-track tunnel, double-track tunnel, station}; x4 is the wheel-rail category, x4∈{1, 2, 3}={seamless track, jointed track, turnout}; x5 is the line plane category; x5∈{1, 2, 3}={straight line or R≥1000m, 500<R≤1000m, R≤500m}; x6 is the category of track vibration reduction measures; x6∈{1, 2, 3, 4}={general vibration reduction, medium vibration reduction, high vibration reduction, special vibration reduction}; x7 is the burial depth; x7∈{1,2,3,4}={H≤10m, 10m <H≤15m、15m<H≤20m、H> 20m}; x8 is the horizontal distance between the building and the line; x8∈{1,2,3,4}={r≤10m, 10m <r≤20m、20m<r≤30m、r> 30m}.

5. The method for constructing a typical building vibration response characteristic curve according to claim 1, characterized in that: The method for conducting data typicality verification is as follows: Compare and analyze the vibration spectrum data of buildings of the same type and eliminate data with large differences; Integrate the vibration data of buildings of the same type to obtain the vibration data of typical buildings of this type; Typical vibration data is used for structural noise prediction. The predicted structural noise value is compared with the measured structural noise value. When the difference is less than the threshold, the vibration data is valid.

6. The method for constructing a typical building vibration response characteristic curve according to claim 1, characterized in that: The standardized data format includes: serial number, geological code, building structure code, track line characteristic code, distance parameter, Z vibration level data, and vibration velocity level 1 / 3 octave frequency spectrum.

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