Systematic design and quantitative prediction method for sound insulation performance of double-skin facades

Abstract

This invention discloses a systematic design and quantitative prediction method for the sound insulation performance of double-layer curtain walls, belonging to the field of architectural acoustics engineering technology. The method divides the double-layer curtain wall into an outer curtain wall, an air gap, and an inner curtain wall. It calculates the composite sound insulation quantity Rcomposite of the outer layer, including ventilation components, using area-weighted acoustic energy superposition, and determines acoustic short circuits using η and ΔRloss. When no short circuit is triggered, ΔRcavity is calculated. Based on the influence of ventilation openings, either a direct mass-air-mass verification mode or an opening boundary correction verification mode is selected. f0 is calculated, or low-frequency resonance avoidance is confirmed using Z1,eff,j,γa,j, and a 1:1 sample test. The required double-layer sound insulation improvement is calculated using ΔRreq=Rtarget-Rinner. When Rpred≥Rtarget and the verification passes, the parameters for ventilation components, opening ratio, air gap depth, surface density, and sound-absorbing material arrangement are output.

Description

Technical Field

[0001] This invention relates to the field of architectural acoustics engineering technology, specifically to a method for predicting the airborne sound insulation performance of double-layer curtain walls, determining ventilation sound short circuits, verifying low-frequency resonance, and generating structural parameters. Background Technology

[0002] Predicting the sound insulation performance of double-layer curtain walls requires simultaneously addressing sound energy transmission between the outer glass panels, ventilation components, air gap, and inner curtain wall layer. The outer glass panels and ventilation components form parallel sound energy transmission paths. The air gap and the inner and outer acoustic panels constitute a mass-air-mass (MAM) system. The air gap, which runs across floors, may also form a flaking transmission path.

[0003] Current engineering calculations often treat the sound insulation of components, sound absorption within cavities, low-frequency resonance, and lateral sound transmission separately. When the ventilation opening ratio is large, the sound insulation of ventilation components is lower than that of glass panels, and the resonant frequency of the air gap falls within the noise energy concentration band, the predicted results are prone to being too high.

[0004] The existing technology has the following problems.

[0005] Question 1: For acoustically non-uniform structures where glass panels and ventilation components are connected in parallel in external curtain walls, existing engineering calculations often only provide the composite sound insulation result, without simultaneously using the sound insulation difference R1-R2, ventilation opening ratio α, the proportion of transmitted sound energy in the ventilation components η, and the composite sound insulation loss ΔRloss to determine acoustic short circuits. This approach underestimates sound energy leakage when the sound insulation of the ventilation components is low and the opening ratio is large.

[0006] Question 2: Current engineering processes often separate acoustic short-circuit detection, low-frequency resonance verification, and target sound insulation calculation. When a previous parameter has triggered an acoustic short circuit or the resonant frequency falls into the avoidance frequency band, downstream component parameters may still be output. This process will carry over substandard parameters into subsequent designs.

[0007] Question 3: A double-layer curtain wall can be approximated as a mass-air-mass system. The depth d of the air gap and the surface densities m1 and m2 of the inner and outer acoustic panels jointly determine the resonant frequency f0. When f0 falls into the frequency band where external noise energy is concentrated, the sound insulation of the frequency band near f0 will decrease. If the air gap extends across floors, sound energy may also form a lateral propagation path between floors through the air gap. Existing engineering documents often do not incorporate the calculation of f0, the determination of avoidance frequency bands, and the requirements for inter-floor acoustic sealing into the same parameter flow.

[0008] Question 4: Numerical simulation methods can handle complex sound fields, but the design phase still requires a process that allows for recalculation, rework, and output of component parameters. If only single formulas or laboratory measurement results are available, designers will find it difficult to determine which parameter should be reworked.

[0009] The difference between this invention and existing technologies lies in the following: an acoustic short-circuit criterion is used as the parameter blocking condition for step S200; the mass-air-mass resonant frequency f0 is used as the construction verification condition for step S400; ΔRreq=Rtarget-Rinner is used as the back-calculation condition for the sound insulation improvement in step S500; and these conditions are correlated with parameter locking, downstream component parameter output stoppage, and rework instruction output in the computer program. This invention does not consider a single MAM formula as the entirety of the protected content, but rather focuses on the parameter transmission relationship between acoustic short-circuit blocking, resonance avoidance, back-calculation of the target sound insulation improvement, and construction parameter output as the primary protected content. Summary of the Invention

[0010] The technical problem solved by this invention is to calculate, block, and rework the acoustic short circuit of ventilation components, air-to-air-mass sound absorption, mass-air-mass resonance, and target sound insulation in the same parameter process during the double-layer curtain wall design stage, thereby reducing the sound insulation prediction deviation caused by the mixing of ventilation openings, low-frequency resonance, and evaluation quantities.

[0011] The technical solution adopted by the present invention to solve its technical problem is: a systematic design and quantitative prediction method for the sound insulation performance of double-layer curtain walls, which is applied to double-layer curtain walls including an outer curtain wall, an air gap and an inner curtain wall, wherein the outer curtain wall includes glass panels and ventilation components, and includes the following steps.

[0012] Step S100: Establish a three-level acoustic transmission model, dividing the double-layer curtain wall into a first-level outer curtain wall sound insulation unit, a second-level air gap sound insulation unit, and a third-level inner curtain wall sound insulation unit that act sequentially; wherein, the second-level air gap participates in the air spring action in the mass-air-mass system and provides an improvement in cavity sound absorption when sound-absorbing materials are installed.

[0013] Step S200: For the acoustically non-uniform structure of the glass panel and ventilation component connected in parallel in the first-level outer curtain wall sound insulation unit, the area-weighted sound energy superposition model is used to calculate the composite sound insulation Rcomposite of the outer curtain wall, and the proportion of transmitted sound energy η of the ventilation component and the composite sound insulation loss ΔRloss are calculated; when the acoustic short-circuit judgment condition is met, the current parameter group is locked, the transmission of the current parameters to steps S300, S400 and S500 is stopped, and the adjustment command of the sound insulation R2 of the ventilation component or the ventilation opening ratio α is output.

[0014] Step S300: When acoustic short-circuit blocking is not triggered in step S200, the cavity sound absorption improvement amount ΔRcavity is calculated based on the geometry of the second-level air-layer sound insulation unit, the ventilation opening area S0, and the cavity sound-absorbing material area Si; when acoustic short-circuit blocking is triggered in step S200, the calculation of ΔRcavity is stopped, and the process returns to step S200 to reselect the sound insulation amount R2 of the ventilation component or the ventilation opening ratio α.

[0015] Step S400: When all control frequency bands simultaneously satisfy α≤αMAM, ηj≤ηMAM, and ΔRloss,j≤ΔRMAM, select the mass-air-mass direct verification mode, with αMAM set to 0.03, ηMAM set to 0.50, and ΔRMAM set to 3 dB; when any control frequency band does not meet the above conditions, select the opening boundary correction verification mode; in the direct verification mode, the system resonant frequency f0 is calculated using the mass-air-mass model; in the opening boundary correction verification mode, the outer equivalent surface impedance Z1,eff,j or air spring participation coefficient γa,j is used for frequency band verification, or 1:1 sample test results are used for confirmation; determine whether f0 or the corrected f0,eff,j falls into the avoidance frequency band [fL, fH] determined by the external noise source spectrum; when the external noise source is road traffic noise and the project has no specific spectrum test data, this method will [60 Hz, 10 ... [Hz] is used as the default low-frequency avoidance band; after the project obtains the measured noise spectrum of 1 / 3 octave band, the frequency band with concentrated energy in the measured spectrum is used to replace the default low-frequency avoidance band; when fL≤f0≤fH, or fL≤f0,eff,j≤fH, and it has not been confirmed by frequency band sound insulation calculation or 1:1 sample test, the current parameter group is locked, and the adjustment instructions for air gap layer depth d, acoustic participation panel surface density m1, m2, outer layer equivalent surface impedance Z1,eff,j, air spring participation coefficient γa,j, or cavity damping sound absorption structure are output.

[0016] Step S500: Determine the overall sound insulation target Rtarget, back-calculate the required double-layer sound insulation improvement ΔRreq according to ΔRreq=Rtarget-Rinner, and calculate the predicted sound insulation Rpred of the double-layer curtain wall according to Rpred=Rinner+ΔRimprovement; when Rpred≥Rtarget, and step S400 has not triggered the blocking condition or has been confirmed by frequency band sound insulation calculation and 1:1 sample test, output the curtain wall component drawing generation parameters; when step S400 adopts the opening boundary correction verification mode, also output the opening boundary correction verification parameters; the curtain wall component drawing generation parameters include at least the ventilation component model, ventilation opening ratio α, ventilation opening area S0, air gap depth d, acoustic participation panel surface density m1, m2, sound absorption material area Si, sound absorption material sound absorption coefficient βi and its arrangement position; the opening boundary correction verification parameters include at least one or more of the outer layer equivalent surface impedance Z1,eff,j, ventilation component equivalent surface impedance Zv,j or air spring participation coefficient γa,j.

[0017] Variable definition In this invention, the control frequency band is the frequency band group used for the sound insulation target of the project; when using frequency band-by-frequency evaluation, the control frequency band is the 1 / 3 octave band participating in the calculation of Rtarget, Rpred, or Rdouble; when using Rw, Rw+Ctr, or the single-value evaluation quantity specified by the project, the control frequency band is the 1 / 3 octave band participating in the conversion of the single-value evaluation quantity; when setting the avoidance frequency band [fL, fH], the control frequency band also includes the 1 / 3 octave band whose center frequency falls within [fL, fH].

[0018] The main variables in this invention are defined in the following table.

[0019] ; ; ; Furthermore: Calculation of the composite sound insulation of the outer curtain wall: In step S200, the ventilation opening ratio α is determined by the following formula: α = S0 / (Sg + S0).

[0020] In the formula, S0 is the area of ​​the ventilation openings participating in the parallel sound energy transmission, with units of m². 2 Sg represents the area of ​​the outer glass layer that participates in the parallel sound energy transmission, in meters (m²). 2 .

[0021] The sound insulation coefficient Rcomposite,j of the outer curtain wall in the j-th frequency band is calculated by the following formula: Rcomposite,j=10·lg{1 / [(1-α)·10^(-R1,j / 10)+α·10^(-R2,j / 10)]}.

[0022] In the formula, R1,j is the sound insulation of the outer glass in the j-th frequency band, in dB; R2,j is the sound insulation of the ventilation component in the j-th frequency band, in dB; lg is the logarithm to base 10. When using a single-value evaluation quantity, first calculate Rcomposite,j for each frequency band, and then convert it to Rcomposite according to the acoustic evaluation method used in the project.

[0023] Furthermore, the acoustic short-circuit criterion is as follows: The proportion of transmitted sound energy ηj of the ventilation component in the j-th frequency band is calculated using the following formula: ηj=α·10^(-R2,j / 10) / [(1-α)·10^(-R1,j / 10)+α·10^(-R2,j / 10)].

[0024] The composite sound insulation loss ΔRloss,j in the j-th frequency band is calculated using the following formula: ΔRloss,j=R1,j-Rcomposite,j.

[0025] When using single-value evaluation quantities, first complete the frequency band calculation; R1, R2, and Rcomposite are converted according to the acoustic evaluation method adopted by the project; ΔRloss is calculated according to R1-Rcomposite; η is taken as the maximum value of the control frequency band ηj.

[0026] An acoustic short circuit is determined to have occurred and a blocking command is output when one of the following conditions is met: A. R1-R2≥15 dB and α≥0.05; B. Any control frequency band ηj≥0.75, or a single value η≥0.75; C. Any control band ΔRloss,j≥6 dB, or a single value ΔRloss≥6 dB.

[0027] When ΔRj = R1,j - R2,j, we have: ηj=α·10^(ΔRj / 10) / [(1-α)+α·10^(ΔRj / 10)]; ΔRloss,j=10·lg[(1-α)+α·10^(ΔRj / 10)].

[0028] When ΔRj = 15 dB, α = 0.05 corresponds to ηj = 0.625 and ΔRloss,j = 4.03 dB; α = 0.087 corresponds to ηj approximately 0.75; and α = 0.097 corresponds to ΔRloss,j approximately 6 dB. Criterion A is used to block combinations of high sound insulation poorness and medium opening ratio, criterion B is used to block combinations where the proportion of transmitted sound energy in ventilation components is too high, and criterion C is used to block combinations where the composite sound insulation loss is too large.

[0029] After the block, the program locks the current parameter group, stops calculating ΔRcavity, f0, and Rpred, stops generating parameters for downstream curtain wall component drawings, and returns to step S200 to reselect ventilation components, reduce the ventilation opening ratio α, or adjust the sound insulation R1 of the outer curtain wall glass panel.

[0030] Calculation of cavity sound absorption improvement: Furthermore, in step S300, when the ventilation opening ratio α of the outer curtain wall is ≥0.05 and sound-absorbing material is installed inside the cavity, the sound absorption improvement ΔRcavity,j of the j-th frequency band cavity is calculated as the upper limit estimate in the design stage using the following formula: ΔRcavity,j=10·lg(1+Aj / S0).

[0031] Aj=Kj×Σ(Si×βi,j).

[0032] In the formula, Aj is the equivalent sound absorption of the j-th frequency band of the cavity, in Sabine units; S0 is the ventilation opening area, in m². 2 Kj is the geometric correction coefficient for the j-th frequency band of the cavity, with a value range of 0 < Kj ≤ 1; Si is the area of ​​the i-th type of sound-absorbing material, in m². 2 βi,j is the sound absorption coefficient of the i-th type of sound-absorbing material in the j-th frequency band.

[0033] Kj is determined by comparative testing and calibration using similarly constructed samples with and without sound-absorbing materials: Kj=min{1, S0·[10^(ΔRtest,j / 10)-1] / Σ(Si×βi,j)}.

[0034] For similar structures, the following requirements should be met: the difference in air gap depth d should not exceed 20%; the absolute difference in ventilation opening ratio α should not exceed 0.02; the acoustic path form of ventilation components should be the same; the type, thickness, flow resistance level and arrangement of sound-absorbing materials should be the same; and the difference in surface density between the inner and outer acoustic participation panels should not exceed 15%.

[0035] When no similar measured calibration data is available, Kj is set to 1, and ΔRcavity,j is marked as the upper limit estimate. If Rpred-Rtarget < 3 dB, the program should not output a final pass conclusion based solely on the estimate result of Kj=1, but should mark it as a parameter requiring sample verification in the output parameter table.

[0036] When α < 0.05 or no sound-absorbing material is placed in the cavity, ΔRcavity,j is taken as 0, or the value is entered according to the calibrated frequency band calculation.

[0037] Furthermore, the mass-air-mass resonant frequency is checked. Step S400 includes a direct verification mode and an opening boundary correction verification mode.

[0038] When all control frequency bands simultaneously satisfy α≤αMAM, ηj≤ηMAM, and ΔRloss,j≤ΔRMAM, the outer curtain wall participates in the mass-air-mass calculation as an acoustically continuous mass layer. αMAM is taken as 0.03, ηMAM as 0.50, and ΔRMAM as 3 dB. More stringent values ​​may be used for the project. In the direct verification mode, the resonant frequency f0 of the mass-air-mass system is calculated using the following formula: f0≈60×√[(m1+m2) / (m1×m2×d)], where f0 is in Hz; m1 and m2 are the areal densities of the acoustic panels of the inner and outer curtain walls, respectively, in kg / m³. 2 d represents the air gap depth in meters; the constant 60 is applicable to engineering approximations under normal temperature air conditions. The direct verification mode implicitly assumes that the surface impedance of the outer and inner acoustic panels in each control frequency band can be approximated by the pure mass impedance iωm. When the coincidence frequency of the outer or inner acoustic panel falls into the control frequency band, or when the panel uses insulated / laminated glass causing the impedance to deviate significantly from the mass law in a specific frequency band, f0 in the direct verification mode should only be used as a pre-screening reference value and should not be the sole basis for passing the resonance verification.

[0039] When any control frequency band does not satisfy α≤αMAM, ηj≤ηMAM, or ΔRloss,j≤ΔRMAM, the aperture boundary correction verification mode is entered. The aperture boundary correction verification mode is executed according to at least one of the following paths: A. Input the air spring participation coefficient γa,j, and calculate f0,eff,j: f0,eff,j≈60×√[γa,j×(m1+m2) / (m1×m2×d)], 0<γa,j≤1.

[0040] B. Input the surface impedance Zg,j of the outer glass layer and the equivalent surface impedance Zv,j of the ventilation component, and calculate the equivalent surface impedance of the outer layer: Z1,eff,j=[(1-α) / Zg,j+α / Zv,j]^-1.

[0041] C. Input Rtest,j obtained from the 1:1 sample test.

[0042] γa,j, Zg,j, and Zv,j are determined by similar construction tests, impedance tests, numerical acoustic calculations, or 1:1 template tests. If γa,j, Zg,j, Zv,j, or Rtest,j is not input, the opening boundary correction check mode cannot be judged as passing solely based on the uncorrected f0.

[0043] The avoidance frequency band [fL, fH] is determined based on the external noise spectrum. When the external noise source is road traffic noise and the project lacks specific spectrum test data, this method uses [60 Hz, 100 Hz] as the default low-frequency avoidance band. After obtaining the measured noise spectrum at 1 / 3 octave band, the frequency band with concentrated energy in the measured spectrum is used to replace the default low-frequency avoidance band.

[0044] When fL≤f0≤fH, or fL≤f0,eff,j≤fH, the adjustment procedure is triggered. After any adjustment is made by increasing d, increasing m1 or m2, decreasing d, or decreasing m1 or m2, steps S400 and S500 are re-executed. When the change in d affects Kj, Aj, or ΔRcavity,j, steps S300, S400, and S500 are re-executed. After adding a damping sound-absorbing layer, steps S300, S400, and S500 are re-executed. Decreasing m1 or m2 will reduce the sound insulation in the quality control frequency band, so step S500 must be re-executed. Adding a damping sound-absorbing layer is used to reduce the amplitude of sound insulation degradation near resonance and is not directly equivalent to moving f0.

[0045] Furthermore, the calculation of the overall sound insulation target and the predicted sound insulation amount is as follows: Step S500 includes the following steps.

[0046] S501: Determine the overall sound insulation target Rtarget,base based on the project's indoor permissible noise level, outdoor noise spectrum, curtain wall area, indoor sound absorption, building envelope area ratio, and applicable sound insulation design specifications, and set a design margin of 3 dB to 5 dB, resulting in Rtarget = Rtarget,base + M; Record the name, version, and clause number of the adopted standard in the project input table.

[0047] S502: Determine the ventilation volume, ventilation opening area S0, and ventilation opening ratio α based on the project ventilation calculation documents and applicable ventilation design specifications.

[0048] S503: Make Rtarget, Rpred, Rinner, Rcomposite, R1, and R2 use the same acoustic evaluation quantity; the acoustic evaluation quantity is one of the following: airborne sound insulation Rj for each frequency band, weighted sound insulation Rw, traffic noise corrected weighted quantity Rw+Ctr, or the equivalent sound insulation of the curtain wall component specified in the project. If the project target is derived from the indoor permissible noise level, the equivalent Rtarget of the target curtain wall unit should first be calculated based on the outdoor noise spectrum, curtain wall area, indoor sound absorption, and the ratio of the building envelope area, and then ΔRreq=Rtarget-Rinner should be executed.

[0049] S504: Based on Rtarget and the initially selected inner curtain wall sound insulation Rinner, calculate the required double-layer sound insulation improvement ΔRreq according to ΔRreq=Rtarget-Rinner.

[0050] S505: Combine the composite sound insulation Rcomposite of the outer curtain wall, the air gap depth d, the acoustic participation panel surface density m1, m2, the outer equivalent surface impedance Z1,eff,j, the air spring participation coefficient γa,j, and the cavity sound absorption improvement ΔRcavity,j to obtain the envelope prediction value Rscreen under the design stage. From Rscreen or the 1:1 sample test result Rtest,j, obtain Rdouble, ΔRimprovement, and Rpred; determine whether ΔRimprovement≥ΔRreq or Rpred≥Rtarget holds true.

[0051] S506: Call step S400 to perform resonance frequency verification or opening boundary correction verification for d, m1, m2, Z1,eff,j and γa,j; if the adjustment procedure is triggered, return to the step affected by parameter changes in steps S200, S300, S400 or S500 to recalculate; when d, m1 or m2 changes, at least steps S400 and S500 should be re-executed; when the change of d affects Kj, Aj or ΔRcavity,j, steps S300, S400 and S500 should be re-executed.

[0052] S507: When Rpred≥Rtarget, and step S400 does not trigger the blocking condition or has been confirmed by frequency band sound insulation calculation and 1:1 sample test, output the curtain wall component drawing generation parameters; when step S400 adopts the opening boundary correction and verification mode, also output the opening boundary correction and verification parameters.

[0053] Furthermore, the calculation path for the improvement in double-layer sound insulation is as follows: ΔRimprovement is defined as the difference between the predicted sound insulation Rdouble of the double-layer curtain wall and the sound insulation Rinner of the inner curtain wall, i.e.: ΔRimprovement=Rdouble-Rinner.

[0054] When obtaining Rdouble using the frequency band-by-frequency calculation method, follow these steps.

[0055] A. For the j-th frequency band, take the external noise spectrum sound pressure level Lj, the sound insulation of the outer curtain wall composite Rcomposite,j, the sound insulation of the inner curtain wall Rinner,j, the cavity sound absorption improvement ΔRcavity,j, the acoustic participation panel surface density m1, m2, the air gap depth d, and the ventilation opening ratio α as inputs; in the opening boundary correction and verification mode, input Zg,j, Zv,j or γa,j.

[0056] B. Take ωj=2πfj, kj=ωj / c0, Z0=ρ0c0.

[0057] C. In the direct verification mode, take Z1,j=iωjm1, Z2,j=iωjm2; in the opening boundary correction verification mode, take Z1,j=Z1,eff,j=[(1-α) / Zg,j+α / Zv,j]^-1, Z2,j=iωjm2; when Zg,j is not input by the test, Zg,j takes iωjm1.

[0058] D. Establish the transfer matrix: M1,j=[1, Z1,j; 0, 1].

[0059] Qj=[cos(kj·d), i·Z0·sin(kj·d); i·sin(kj·d) / Z0, cos(kj·d)].

[0060] M2,j=[1,Z2,j;0,1].

[0061] E. Calculate Tj=M1,j·Qj·M2,j=[pj, qj; rj, sj].

[0062] F. Calculate τMAM,j=|2 / (pj+qj / Z0+rj·Z0+sj)| 2 And calculate RMAM,j=-10·lg(τMAM,j).

[0063] G. Calculate the series sound insulation to estimate: Rserial,j=-10·lg[10^(-Rcomposite,j / 10)·10^(-Rinner,j / 10)·10^(-ΔRcavity,j / 10)].

[0064] H. Calculate the envelope value during the design phase: Rscreen,j=min(RMAM,j+ΔRcavity,j,Rserial,j).

[0065] The min value is a conservative selection rule during the design phase and is not considered as the superposition of acoustic energy between the two physical models. In the quality control zone (f≥√2·f0), the sound insulation of the MAM system increases by approximately 18 dB / octave, while Rserial increases by approximately 12 dB / octave in the same frequency band (6 dB / octave for the outer layer + 6 dB / octave for the inner layer). Using Rserial as the min value means systematically discarding the additional sound insulation gain of the MAM in the quality control zone. This gain is approximately 3~5 dB when f=2f0 and approximately 6~10 dB when f=4f0 (the specific value depends on the values ​​of d, m1, and m2). When the difference between Rpred and Rtarget is less than the above order of magnitude, it is not recommended to determine failure solely based on the predicted value during the design phase; a 1:1 prototype test should be arranged for confirmation.

[0066] I. When the 1:1 template test result Rtest,j is input, Rdouble,j = Rtest,j is set; when no 1:1 template test result is input, Rdouble,j = Rscreen,j is set, and marked as the predicted value in the design stage in the output parameter table.

[0067] J. Calculate the indoor spectrum Lin,j = Lj - Rdouble,j.

[0068] K. Calculate Rdouble = 10·lg[Σ10^(0.1Lj)] - 10·lg[Σ10^(0.1Lin,j)].

[0069] L. Calculate ΔRimprovement = Rdouble - Rinner.

[0070] If Zg,j, Zv,j, γa,j or 1:1 template test results are not entered, and step S400 enters the opening boundary correction and verification mode, the program must not use Rscreen,j as the final pass criterion, and can only output the parameters that need to be verified by the template.

[0071] Furthermore: Lateral sound transmission control: When there is a cross-floor through-path in the air gap of the double-layer curtain wall, acoustic sealing components are installed at the floor separation locations; the design airborne sound insulation of the acoustic sealing components uses the same evaluation metric as Rinner; when using a frequency band evaluation, in each frequency band of f≥200 Hz, the sound insulation of the acoustic sealing components is not less than Rinner,j-3 dB; when the control frequency band includes a frequency band of f<200 Hz, the sound insulation of the acoustic sealing components in that frequency band is not less than Rinner,j, or the reduction in lateral sound level between floors is confirmed to meet the project's sound insulation target through 1:1 sample testing; the acoustic sealing components continuously seal gaps, holes, and structural gaps that can form sound propagation channels within the air gap.

[0072] This invention also discloses a computer device, including a processor, a communication interface, a memory, and a communication bus, wherein the processor, communication interface, and memory communicate with each other through the communication bus; the memory stores a computer program, and when the processor executes the program, it implements the above-mentioned systematic design and quantitative prediction method for the sound insulation performance of double-layer curtain walls. The program is configured to lock the current parameter group, stop generating downstream curtain wall component drawing parameters, and output corresponding parameter rework instructions when a blocking condition is triggered in any step S200, S400, or S500; the parameter rework instructions include at least one or more of the following: sound insulation R2 of ventilation components to be adjusted, ventilation opening ratio α, ventilation opening area S0, air gap depth d, acoustic participation panel surface density m1, m2, cavity equivalent sound absorption Aj, cavity geometric correction coefficient Kj, outer layer equivalent surface impedance Z1,eff,j, ventilation component equivalent surface impedance Zv,j, or air spring participation coefficient γa,j.

[0073] Effects of the present invention 1. This invention quantifies the acoustic leakage of the parallel structure of the outer glass panel and ventilation component using Rcomposite, η, and ΔRloss, so that the mismatch between the sound insulation R2 of the ventilation component, the ventilation opening ratio α, and the sound insulation R1 of the glass panel is identified in step S200. After the acoustic short-circuit judgment condition is triggered, the current parameter group will no longer be included in subsequent calculations and drawing generation parameter output.

[0074] 2. This invention uses a mass-air-mass model to calculate f0 and compares f0 with the external noise spectrum avoidance zone, thus constraining the air gap depth and acoustic participation panel surface density to the resonant frequency. Increasing d or increasing m1 and m2 reduces f0; decreasing d or decreasing m1 and m2 increases f0, but the sound insulation target must be re-evaluated.

[0075] 3. This invention defines Rtarget, Rpred, Rinner, ΔRreq, and ΔRimprovement respectively, so that the sound insulation target, the sound insulation amount of the inner curtain wall foundation, the required double-layer sound insulation improvement, the actual double-layer sound insulation improvement, and the prediction result correspond to different calculation quantities. The blocking conditions in steps S200, S400, and S500 correspond to the parameter locking and drawing generation parameter stop output in the computer program. Attached Figure Description

[0076] Figure 1 This is a flowchart illustrating the systematic design and quantitative prediction method for the sound insulation performance of double-layer curtain walls according to the present invention. Figure 1 If any of steps S200, S400, or S500 triggers the blocking condition, the current parameter group is locked, the program stops generating downstream curtain wall component drawing parameters, and returns to the corresponding parameter step for recalculation.

[0077] Figure 2 for Figure 1 Enlarged diagram of point A in the middle.

[0078] Figure 3 for Figure 1 Enlarged diagram of point B in the middle.

[0079] Figure 4 for Figure 1 Enlarged diagram of point C in the middle. Detailed Implementation

[0080] The specific embodiments of the present invention will now be described with reference to the accompanying drawings.

[0081] like Figures 1 to 4 As shown, this invention discloses a systematic design and quantitative prediction method for the sound insulation performance of double-layer curtain walls, specifically: Step S100: Establish a three-level acoustic transmission model, dividing the double-layer curtain wall into a first-level outer curtain wall sound insulation unit, a second-level air gap sound insulation unit, and a third-level inner curtain wall sound insulation unit that act sequentially; wherein, the second-level air gap participates in the air spring action in the mass-air-mass system and provides an improvement in cavity sound absorption when sound-absorbing materials are installed.

[0082] Step S200: For the acoustically non-uniform structure of the glass panel and ventilation component connected in parallel in the first-level outer curtain wall sound insulation unit, the area-weighted sound energy superposition model is used to calculate the composite sound insulation Rcomposite of the outer curtain wall, and the proportion of transmitted sound energy η of the ventilation component and the composite sound insulation loss ΔRloss are calculated; when the acoustic short-circuit judgment condition is met, the transmission of the current parameters to steps S300, S400 and S500 is stopped, and the ventilation component or opening ratio adjustment command is output.

[0083] Step S300: When acoustic short-circuit blocking is not triggered in step S200, the cavity sound absorption improvement amount ΔRcavity is calculated based on the geometry of the second-level air-layer sound insulation unit, the ventilation opening area S0, and the cavity sound-absorbing material area Si; when acoustic short-circuit blocking is triggered in step S200, the calculation of ΔRcavity is stopped, and the process returns to step S200 to reselect the sound insulation amount R2 of the ventilation component or the ventilation opening ratio α.

[0084] Step S400: When all control frequency bands simultaneously satisfy α≤αMAM, ηj≤ηMAM, and ΔRloss,j≤ΔRMAM, select the mass-air-mass direct verification mode and use the mass-air-mass model to calculate the system resonant frequency f0; when any control frequency band does not satisfy α≤αMAM, ηj≤ηMAM, or ΔRloss,j≤ΔRMAM, select the opening boundary correction verification mode and use the outer equivalent surface impedance Z1,eff,j or air spring participation coefficient γa,j for frequency band verification, or use 1:1 sample test results for confirmation; determine whether f0 or f0,eff,j falls into the avoidance frequency band [fL, fH] determined by the external noise source spectrum; when the external noise source is road traffic noise and the project has no specific spectrum test data, this method will [60Hz, 10 ... [Hz] is used as the default low-frequency avoidance band; when fL≤f0≤fH, or fL≤f0,eff,j≤fH, and it has not been confirmed by frequency band sound insulation calculation or 1:1 sample test, the output air gap depth, acoustic participation panel surface density, outer layer equivalent surface impedance Z1,eff,j, air spring participation coefficient γa,j or cavity damping sound absorption structure adjustment command is output.

[0085] Step S500: Determine the overall sound insulation target Rtarget, back-calculate the required double-layer sound insulation improvement ΔRreq according to ΔRreq=Rtarget-Rinner, and calculate the predicted sound insulation Rpred of the double-layer curtain wall according to Rpred=Rinner+ΔRimprovement; when Rpred≥Rtarget, and step S400 has not triggered the blocking condition or has been confirmed by frequency band sound insulation calculation and 1:1 sample test, output the curtain wall component drawing generation parameters; when step S400 adopts the opening boundary correction verification mode, also output the opening boundary correction verification parameters; the curtain wall component drawing generation parameters include ventilation component model, ventilation opening ratio α, ventilation opening area S0, air gap depth d, acoustic participation panel surface density m1, m2, sound absorption material area Si, sound absorption material sound absorption coefficient βi and its arrangement position; the opening boundary correction verification parameters include one or more of the outer layer equivalent surface impedance Z1,eff,j, ventilation component equivalent surface impedance Zv,j or air spring participation coefficient γa,j.

[0086] Calculation Example To illustrate the calculation process of the method of this invention, a narrow air gap double-layer curtain wall unit is used as a calculation example. This calculation example does not include 1:1 sample test results and does not claim to have completed actual measurement calibration. Assume the sound insulation of the outer glass panel R1 = 40 dB, the sound insulation of the ventilation component R2 = 25 dB, the ventilation opening ratio α = 0.10, the sound insulation of the inner curtain wall Rinner = 38 dB, and the surface density of the outer acoustic participation panel m1 = 25 kg / m². 2 The surface density of the inner acoustic layer panel is m2 = 30 kg / m². 2 The air gap depth is d=0.05 m.

[0087] Calculate according to step S200: Rcomposite=10·lg{1 / [0.9×10^(-4)+0.1×10^(-2.5)]}=33.91 dB.

[0088] η=0.1×10^(-2.5) / [0.9×10^(-4)+0.1×10^(-2.5)]=0.779.

[0089] ΔRloss = 40 - 33.91 = 6.09 dB.

[0090] Since R1-R2=15 dB, α=0.10, and η=0.779≥0.75, ΔRloss=6.09 dB≥6 dB, step S200 acoustic short-circuit blocking is triggered. The program locks this parameter group, stops executing S300, S400 and S500, stops generating downstream curtain wall component drawing parameters, and outputs an R2 or α adjustment command.

[0091] After adjustment, a ventilation component with a sound insulation R2 = 33 dB is selected. Simultaneously, since the original air gap depth d = 0.05 m, if step S400 is entered, the system resonant frequency f0 ≈ 60 × √[(25 + 30) / (25 × 30 × 0.05)] ≈ 72.7 Hz, falling into the default low-frequency avoidance band [60 Hz, 100 Hz], which will trigger S400 blocking; to demonstrate subsequent steps, the air gap depth is synchronously adjusted to d = 0.08 m. Step S200 is then re-executed: Rcomposite=10·lg{1 / [0.9×10^(-4)+0.1×10^(-3.3)]}=38.53 dB.

[0092] η=0.358.

[0093] ΔRloss = 40 - 38.53 = 1.47 dB.

[0094] The S200 acoustic short-circuit blocking was not triggered after the adjustment.

[0095] Since α=0.10>αMAM=0.03, this parameter group does not enter the direct mass-air-mass verification mode, but instead enters the opening boundary correction verification mode. If γa,j has been input for the project, the corrected resonance frequency is calculated as f0,eff,j≈60×√[γa,j×(25+30) / (25×30×0.08)]. If γa,j,Zg,j,Zv,j or 1:1 template test results have not been input for the project, the program must not pass based solely on the uncorrected f0, and will mark it as a parameter requiring template verification in the output parameter table.

[0096] To demonstrate the use of the formula in the direct verification mode, we take a smaller opening parameter set α = 0.02, and this parameter set satisfies ηj ≤ 0.50 and ΔRloss,j ≤ 3 dB. In this case, we can calculate using the direct verification mode: f0≈60×√[(25+30) / (25×30×0.08)]=57.44 Hz.

[0097] This value is below the default low-frequency avoidance band [60 Hz, 100 Hz]. If the overall sound insulation target for the project is Rtarget = 52 dB, then the required improvement in double-layer sound insulation is: ΔRreq = 52 - 38 = 14 dB.

[0098] Since this calculation example does not provide R1,j, R2,j, Rinner,j, ΔRcavity,j, Lj, Zg,j, Zv,j, or γa,j for each 1 / 3 octave band, the final Rpred cannot be calculated solely based on the above single-value data. After inputting the above frequency band data, calculate Rdouble and ΔRimprovement according to the "Calculation Path for Double-Layer Sound Insulation Improvement" in this manual; when ΔRimprovement ≥ 14dB and step S400 passes the verification, determine that Rpred ≥ Rtarget, and output the curtain wall component drawing generation parameters.

[0099] The above embodiments are used to illustrate the technical solution of the present invention and do not limit the scope of protection of the present invention. All equivalent substitutions made based on the parameter transmission relationship between acoustic short-circuit blocking, mass-air-mass resonance verification, sound insulation improvement calculation, and structural parameter output described in the present invention are within the scope of protection of the present invention.

Claims

1. A systematic design and quantitative prediction method for the sound insulation performance of double-layer curtain walls, applied to double-layer curtain walls comprising an outer curtain wall, an air gap, and an inner curtain wall, wherein the outer curtain wall includes glass panels and ventilation components, characterized in that, Includes the following steps: Step S100: Establish a three-level acoustic transmission model, dividing the double-layer curtain wall into a first-level outer curtain wall sound insulation unit, a second-level air gap sound insulation unit, and a third-level inner curtain wall sound insulation unit that act sequentially; wherein, the second-level air gap participates in the air spring action in the mass-air-mass system and provides an improvement in cavity sound absorption when sound-absorbing materials are installed; Step S200: For the acoustically non-uniform structure of the glass panel and ventilation component connected in parallel in the first-level outer curtain wall sound insulation unit, the area-weighted sound energy superposition model is used to calculate the composite sound insulation Rcomposite of the outer curtain wall, and the proportion of transmitted sound energy η of the ventilation component and the composite sound insulation loss ΔRloss are calculated; when the acoustic short-circuit judgment condition is met, the current parameter group is locked, the transmission of the current parameters to steps S300, S400 and S500 is stopped, and the adjustment command of the sound insulation R2 of the ventilation component or the ventilation opening ratio α is output. Step S300: When acoustic short-circuit blocking is not triggered in step S200, the cavity sound absorption improvement amount ΔRcavity is calculated based on the geometry of the second-level air-layer sound insulation unit, the ventilation opening area S0, and the cavity sound-absorbing material area Si; when acoustic short-circuit blocking is triggered in step S200, the calculation of ΔRcavity is stopped, and the process returns to step S200 to reselect the sound insulation amount R2 of the ventilation component or the ventilation opening ratio α. Step S400: The control frequency band is the frequency band group used for the project's sound insulation target; when using a frequency band-by-frequency evaluation, the control frequency band is the 1 / 3 octave band participating in the calculation of Rtarget, Rpred, or Rdouble; when using Rw, Rw+Ctr, or the single-value evaluation quantity specified by the project, the control frequency band is the 1 / 3 octave band participating in the conversion of that single-value evaluation quantity; when setting an avoidance frequency band [fL, fH], the control frequency band also includes the 1 / 3 octave band where the center frequency falls within [fL, fH]; when all control frequency bands simultaneously satisfy α≤αMAM, ηj≤ηMAM, and ΔRloss,j≤ΔRMAM, the quality-air-quality direct verification mode is selected; when any control frequency band does not meet the above conditions, the opening boundary correction verification mode is selected; αMAM, ηMAM, and ΔRMAM are mode selection limits used to determine whether the outer curtain wall can be treated as an acoustically continuous quality layer; where αMAM≤0.

03. ηMAM≤0.50, ΔRMAM≤3dB, or use more stringent values ​​than the above; in direct verification mode, use the mass-air-mass model to calculate the system resonance frequency f0; in opening boundary correction verification mode, use the outer layer equivalent surface impedance Z1,eff,j or air spring participation coefficient γa,j for band-by-band verification, or use 1:1 template test results for confirmation; determine whether f0 or the corrected f0,eff,j falls into the avoidance band [fL, fH] determined by the external noise source spectrum; when fL≤f0≤fH or fL≤f0,eff,j≤fH, and it is not confirmed by band-by-band sound insulation calculation or 1:1 template test, lock the current parameter group, and output the adjustment instructions for air gap depth d, acoustic participation panel surface density m1, m2, outer layer equivalent surface impedance Z1,eff,j, air spring participation coefficient γa,j or cavity damping sound absorption structure; Step S500: Determine the overall sound insulation target Rtarget, back-calculate the required double-layer sound insulation improvement ΔRreq according to ΔRreq=Rtarget-Rinner, and calculate the predicted sound insulation Rpred of the double-layer curtain wall according to Rpred=Rinner+ΔRimprovement; when Rpred≥Rtarget, and step S400 has not triggered the blocking condition or has been confirmed by frequency band sound insulation calculation and 1:1 sample test, output the curtain wall component drawing generation parameters; when step S400 adopts the opening boundary correction verification mode, also output the opening boundary correction verification parameters; the curtain wall component drawing generation parameters include at least the ventilation component model, ventilation opening ratio α, ventilation opening area S0, air gap depth d, acoustic participation panel surface density m1, m2, sound absorption material area Si, sound absorption material sound absorption coefficient βi and its arrangement position; the opening boundary correction verification parameters include at least one or more of the outer layer equivalent surface impedance Z1,eff,j, ventilation component equivalent surface impedance Zv,j or air spring participation coefficient γa,j. The acoustic short-circuit determination result of step S200, the resonance frequency verification result of step S400, and the sound insulation improvement requirement value of step S500 are linked by parameters; when any step triggers the blocking condition, the downstream calculation of the current parameter group is stopped, the generation of downstream curtain wall component drawing parameters is stopped, and the corresponding parameter step is returned to recalculate.

2. The systematic design and quantitative prediction method for the sound insulation performance of double-layer curtain walls according to claim 1, characterized in that, In step S200, the ventilation opening ratio α is determined by the following formula: α = S0 / (Sg + S0); In the formula, S0 is the area of the ventilation opening participating in parallel sound energy transmission, in m 2 ; Sg is the area of the outer glass participating in parallel sound energy transmission, in m 2 ; alpha is a dimensionless area ratio, and the typical engineering application range of the method is 0.01<=alpha<=0.20; when alpha<0.01, the sound energy transmission of the ventilation component can be ignored, and the composite sound insulation quantity of the outer curtain wall is approximately taken as Rcomposite=R1; when alpha>0.20, the outer curtain wall does not constitute the acoustic mass layer of the conventional double-layer curtain wall, and should be independently evaluated according to the opening envelope structure. The sound insulation coefficient Rcomposite,j of the outer curtain wall in the j-th frequency band is calculated by the following formula: Rcomposite,j=10·lg{1 / [(1-α)·10^(-R1,j / 10)+α·10^(-R2,j / 10)]}; In the formula, R1,j is the sound insulation of the outer glass in the j-th frequency band, in dB; R2,j is the sound insulation of the ventilation component in the j-th frequency band, in dB; lg is the logarithm to base 10; when using a single-value evaluation quantity, first calculate Rcomposite,j for each frequency band, and then convert it to Rcomposite according to the acoustic evaluation method adopted by the project.

3. The systematic design and quantitative prediction method for the sound insulation performance of double-layer curtain walls according to claim 2, characterized in that, The acoustic short-circuit criterion includes the proportion of transmitted sound energy ηj of the ventilation component in the j-th frequency band and the composite sound insulation loss ΔRloss,j in the j-th frequency band; ηj is calculated by the following formula: ηj=α·10^(-R2,j / 10) / [(1-α)·10^(-R1,j / 10)+α·10^(-R2,j / 10)]; ΔRloss,j=R1,j-Rcomposite,j; When using single-value evaluation quantities, R1, R2, and Rcomposite are calculated from the corresponding frequency band results according to the acoustic evaluation method adopted by the project; ΔRloss is calculated as R1-Rcomposite; η is taken as the maximum value of ηj in the control frequency band; An acoustic short circuit is determined to have occurred and a blocking command is output when one of the following conditions is met: A. R1-R2≥15 dB and α≥0.05; B. Any control frequency band ηj≥0.75, or a single value η≥0.75; C. Any control band ΔRloss,j≥6 dB, or a single value ΔRloss≥6 dB; When ΔRj = R1,j - R2,j, ηj can also be written as: ηj=α·10^(ΔRj / 10) / [(1-α)+α·10^(ΔRj / 10)]; ΔRloss,j=10·lg[(1-α)+α·10^(ΔRj / 10)]; When ΔRj=15 dB, α=0.05 corresponds to ηj=0.625, ΔRloss,j=4.03 dB; α=0.087 corresponds to ηj approximately 0.75; α=0.097 corresponds to ΔRloss,j approximately 6 dB; Criterion A serves as the early blocking condition under the combination of high sound insulation difference and medium opening ratio, Criterion B serves as the blocking condition for the proportion of transmitted sound energy of ventilation components, and Criterion C serves as the blocking condition for composite sound insulation loss; After blocking, ventilation components are reselected, ventilation opening ratio α is reduced, or the sound insulation R1 of the outer curtain wall glass panel is adjusted, and step S200 is executed again.

4. The systematic design and quantitative prediction method for the sound insulation performance of double-layer curtain walls according to claim 1 or 2, characterized in that, In step S300, when the ventilation opening ratio α of the outer curtain wall is ≥0.05 and sound-absorbing material is installed inside the cavity, the cavity sound absorption improvement ΔRcavity,j is calculated as the upper limit estimate for the design stage using the following formula: ΔRcavity,j=10·lg(1+Aj / S0); Aj = Kj × Σ(Si × βi,j); In the formula, Aj is the equivalent sound absorption of the j-th frequency band of the cavity, in Sabine units; S0 is the ventilation opening area, in m². 2 Kj is the geometric correction coefficient for the j-th frequency band of the cavity, with a value range of 0 < Kj ≤ 1; Si is the area of ​​the i-th type of sound-absorbing material, in m². 2 ; βi,j is the sound absorption coefficient of the i-th type of sound-absorbing material in the j-th frequency band; Kj is determined by comparative testing and calibration of similar samples with and without sound-absorbing materials, and is calculated using the following formula: Kj=min{1, S0·[10^(ΔRtest,j / 10)-1] / Σ(Si×βi,j)}; In the formula, ΔRtest,j is the measured sound insulation improvement of the same structure in the j-th frequency band due to the addition of sound-absorbing material; The similar structures must meet at least the following conditions: the difference in air gap depth d is not greater than 20% of the calibrated structure d; the absolute difference in ventilation opening ratio α is not greater than 0.02; the acoustic path form of the ventilation components is the same; the type, thickness, flow resistance level, and arrangement of the sound-absorbing materials are the same; and the difference in surface density of the inner and outer acoustic participation panels is not greater than 15%. When there is no similar measured calibration data, Kj is set to 1, and ΔRcavity,j is only used as the upper limit estimate; when the margin of the design prediction result relative to Rtarget is less than 3 dB, the program should not output the final pass conclusion based solely on the estimation result of Kj=1, but should mark it as a parameter that needs to be verified by the template. When α < 0.05 or no sound-absorbing material is placed in the cavity, ΔRcavity,j is taken as 0, or the value is entered according to the calibrated frequency band calculation.

5. The systematic design and quantitative prediction method for the sound insulation performance of double-layer curtain walls according to claim 1, characterized in that, Step S400 includes a direct verification mode and an opening boundary correction verification mode; When all control frequency bands simultaneously satisfy α≤αMAM, ηj≤ηMAM, and ΔRloss,j≤ΔRMAM, the outer curtain wall participates in the mass-air-mass calculation as an acoustically continuous mass layer; αMAM is taken as 0.03, ηMAM as 0.50, and ΔRMAM as 3 dB. More stringent values ​​can be used for the project. In the direct verification mode, the resonant frequency f0 of the mass-air-mass system is calculated by the following formula: f0≈60×√[(m1+m2) / (m1×m2×d)]; In the formula, f0 is in Hz; m1 and m2 are the areal densities of the acoustic panels of the inner and outer curtain walls, respectively, in kg / m³. 2 ; d is the depth of the air gap, in meters; the constant 60 is applicable to engineering approximate calculations under normal air temperature conditions; When any control frequency band does not satisfy α≤αMAM, ηj≤ηMAM, or ΔRloss,j≤ΔRMAM, the aperture boundary correction and verification mode is entered; in the aperture boundary correction and verification mode, the program executes S400 with at least one of the following inputs: A. Input the air spring participation coefficient γa,j, and calculate the corrected resonant frequency using the following formula: f0,eff,j≈60×√[γa,j×(m1+m2) / (m1×m2×d)], 0<γa,j≤1; B. Input the surface impedance Zg,j of the outer glass and the equivalent surface impedance Zv,j of the ventilation component, and convert the equivalent surface impedance of the outer layer according to the parallel surface admittance of the outer layer: Z1,eff,j=[(1-α) / Zg,j+α / Zv,j]^-1; C. Input the sound insulation value of the j-th frequency band obtained from the 1:1 sample test; γa,j, Zg,j and Zv,j are determined by similar construction tests, impedance tests, numerical acoustic calculations or 1:1 template tests; if γa,j, Zg,j, Zv,j or 1:1 template test results are not entered, the opening boundary correction verification mode shall not be judged as passing solely based on the uncorrected f0. The acoustic participation panel surface densities m1 and m2 include the unit area mass of the glass, laminated glass, insulating glass assembly, or panel layer that vibrates together with the air mass in the inner and outer curtain walls; when the ventilation opening forms a low acoustic impedance direct sound path, f0 is only used as a pre-screening input and is used in conjunction with the acoustic short-circuit determination in step S200, the cavity sound absorption calculation in step S300, and the opening boundary correction verification mode.

6. The systematic design and quantitative prediction method for the sound insulation performance of double-layer curtain walls according to claim 5, characterized in that, When fL≤f0≤fH, or fL≤f0,eff,j≤fH, the adjustment procedure is triggered and adjusted in at least one of the following ways: A. Increase the depth d of the air gap so that f0 or f0,eff,j is lower than fL; B. Increase the areal density m1 or m2 of the inner or outer acoustic participation panel so that f0 or f0,eff,j is lower than fL; C. Under the premise that the sound insulation target is still met, reduce the air gap depth d or reduce the acoustic participation panel surface density m1, m2, so that f0 or f0,eff,j is higher than fH; D. Add a damping sound-absorbing layer inside the cavity, and confirm that the lowest predicted sound insulation or the tested sound insulation in the [fL, fH] frequency band meets Rtarget through frequency band sound insulation calculation or 1:1 template test; After taking A, B, or C, repeat steps S400 and S500; when the change of d affects Kj, Aj, or ΔRcavity,j, step S300 should also be repeated; after taking D, repeat steps S300, S400, and S500; reducing m1 or m2 will reduce the sound insulation of the quality control frequency band, so step S500 must be repeated.

7. The systematic design and quantitative prediction method for the sound insulation performance of double-layer curtain walls according to claim 1 or 5, characterized in that, Step S500 includes: S501: Determine the overall sound insulation target Rtarget,base based on the project's indoor permissible noise level, outdoor noise spectrum, curtain wall area, indoor sound absorption, building envelope area ratio, and applicable sound insulation design specifications, and set a design margin of 3 dB to 5 dB, resulting in Rtarget = Rtarget,base + M; Record the name, version, and clause number of the standard used in the project input table. S502: Determine the ventilation volume, ventilation opening area S0, and ventilation opening ratio α based on the project ventilation calculation documents and applicable ventilation design specifications; S503: Make Rtarget, Rpred, Rinner, Rcomposite, R1 and R2 use the same acoustic evaluation quantity; the acoustic evaluation quantity is one of the following: airborne sound insulation quantity Rj, weighted sound insulation quantity Rw, traffic noise corrected weighted quantity Rw+Ctr, or equivalent curtain wall component sound insulation quantity specified in the project. S504: Based on Rtarget and the initially selected inner curtain wall sound insulation Rinner, calculate the required double-layer sound insulation improvement ΔRreq according to ΔRreq=Rtarget-Rinner; S505: Using the combined sound insulation Rcomposite of the outer curtain wall, air gap depth d, acoustic participation panel surface densities m1, m2, outer equivalent surface impedance Z1,eff,j, air spring participation coefficient γa,j, and cavity sound absorption improvement ΔRcavity,j, the envelope prediction value Rscreen is obtained at the design stage. From Rscreen, the double-layer sound insulation improvement ΔRimprovement is obtained; determine whether ΔRimprovement ≥ ΔRreq holds true. S506: Call step S400 to perform resonance frequency verification or opening boundary correction verification for d, m1, m2, Z1,eff,j, and γa,j; if the adjustment procedure is triggered, return to the step affected by parameter changes in steps S200, S300, S400, or S500 for recalculation; when d, m1, or m2 changes, at least steps S400 and S500 should be re-executed; when the change of d affects Kj, Aj, or ΔRcavity,j, steps S300, S400, and S500 should be re-executed. S507: When Rpred≥Rtarget, and step S400 does not trigger the blocking condition or has been confirmed by frequency band sound insulation calculation and 1:1 sample test, output the curtain wall component drawing generation parameters; when step S400 adopts the opening boundary correction and verification mode, also output the opening boundary correction and verification parameters.

8. The systematic design and quantitative prediction method for the sound insulation performance of double-layer curtain walls according to claim 7, characterized in that, In step S505, ΔRimprovement is defined as the difference between the predicted sound insulation Rdouble of the double-layer curtain wall and the sound insulation Rinner of the inner curtain wall, i.e., ΔRimprovement = Rdouble - Rinner; when obtaining Rdouble using a frequency band-by-frequency calculation method, the following steps are followed: A. For the j-th frequency band, the external noise spectrum sound pressure level Lj, the sound insulation of the outer curtain wall composite Rcomposite,j, the sound insulation of the inner curtain wall Rinner,j, the cavity sound absorption improvement ΔRcavity,j, the acoustic participation panel surface density m1, m2, the air gap depth d, and the ventilation opening ratio α are taken as inputs; in the opening boundary correction and verification mode, Zg,j, Zv,j or γa,j are also input; B. Take ωj=2πfj, kj=ωj / c0, Z0=ρ0c0; where fj is the center frequency of the j-th frequency band, ωj is the angular frequency, kj is the air wave number, ρ0 is the air density, c0 is the air speed of sound, and Z0 is the air characteristic impedance. C. In the direct verification mode, take Z1,j=iωjm1, Z2,j=iωjm2; in the opening boundary correction verification mode, take Z1,j=Z1,eff,j=[(1-α) / Zg,j+α / Zv,j]^-1, Z2,j=iωjm2; where i is the imaginary unit; when Zg,j is not input by the test, Zg,j takes iωjm1; D. Establish the transfer matrix between the inner and outer acoustic participation panels and the air gap: M1,j = [1, Z1,j; 0, 1]; Qj=[cos(kj·d), i·Z0·sin(kj·d); i·sin(kj·d) / Z0, cos(kj·d)]; M2,j=[1, Z2,j; 0, 1]; E. Calculate Tj=M1,j·Qj·M2,j=[pj, qj; rj, sj]; F. Calculate τMAM,j=|2 / (pj+qj / Z0+rj·Z0+sj)| 2 And calculate RMAM,j = -10·lg(τMAM,j); G. Calculate the series-estimated sound insulation Rserial,j: Rserial,j=-10·lg[10^(-Rcomposite,j / 10)·10^(-Rinner,j / 10)·10^(-ΔRcavity,j / 10)]; H. Calculate the envelope value Rscreen,j during the design phase: Rscreen,j=min(RMAM,j+ΔRcavity,j,Rserial,j); The min value is taken as a conservative selection rule in the design phase and is not used as the superposition of acoustic energy of the two physical models. When the 1:1 sample test result Rtest,j is input, Rtest,j is used as Rdouble,j. When no 1:1 sample test result is input, Rdouble,j is taken as Rscreen,j and marked as the predicted value in the design phase in the output parameter table. I. Calculate the indoor spectrum Lin,j = Lj - Rdouble,j; J. Calculate Rdouble = 10·lg[Σ10^(0.1Lj)] - 10·lg[Σ10^(0.1Lin,j)]; K. Calculate ΔRimprovement = Rdouble - Rinner; If Zg,j, Zv,j, γa,j or 1:1 template test results are not entered, and step S400 enters the opening boundary correction and verification mode, the program must not use Rscreen,j as the final pass criterion, and can only output the parameters that need to be verified by the template.

9. The systematic design and quantitative prediction method for the sound insulation performance of double-layer curtain walls according to claim 1, characterized in that, It also includes lateral sound transmission control steps: when there is a cross-floor through-path in the air gap of the double-layer curtain wall, acoustic sealing components are installed at the floor separation positions; the design airborne sound insulation of the acoustic sealing components uses the same evaluation quantity as Rinner; when using frequency band evaluation, in each frequency band of f≥200 Hz, the sound insulation of the acoustic sealing components is not less than Rinner,j-3 dB; when the control frequency band includes a frequency band of f<200 Hz, the sound insulation of the acoustic sealing components in that frequency band is not less than Rinner,j, or the reduction in lateral sound transmission level between floors is confirmed to meet the project sound insulation target through 1:1 sample testing; the acoustic sealing components continuously seal gaps, holes and structural gaps that can form sound propagation channels within the air gap.

10. A computer device, comprising a processor, a communication interface, a memory, and a communication bus, characterized in that, The memory stores a computer program. When the processor executes the program, it implements the systematic design and quantitative prediction method for the sound insulation performance of double-layer curtain walls as described in any one of claims 1 to 9. The program is configured to lock the current parameter group, stop generating downstream curtain wall component drawing parameters, and output the corresponding parameter rework instruction when the blocking condition is triggered in any step S200, S400, or S500. The parameter rework instruction includes at least one or more of the following: sound insulation R2 of ventilation components, ventilation opening ratio α, ventilation opening area S0, air gap depth d, acoustic participation panel surface density m1, m2, cavity equivalent sound absorption Aj, cavity geometric correction coefficient Kj, outer layer equivalent surface impedance Z1,eff,j, ventilation component equivalent surface impedance Zv,j, or air spring participation coefficient γa,j.

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