Multi-objective constraint technology for micro-vibration control of large light source storage ring foundation in soft soil site adjacent to water area.

Abstract

A multi-objective constraint process for micro-vibration control of a large light source storage ring foundation in soft soil adjacent to water areas is disclosed, including: 1) determining the types of site vibration sources affecting the foundation of the large light source storage ring and the site design parameters, and measuring the vibration characteristics of each vibration source; 2) determining the mapping relationship between vibration source characteristics and site design parameters; 3) constructing a weighted control function for the response contribution of multiple vibration sources based on the overall composition relationship of the vibration response contribution of the light source storage ring under multiple vibration sources; 4) further modifying the weighted control function for the response contribution of multiple vibration sources in step 3 to construct a multi-objective constraint function for micro-vibration of the light source foundation; 5) outputting the results that initially meet the multi-objective constraint conditions, and further evaluating the vibration control situation. If the standard requirements are met, the constraint conditions are used as a design reference; if not, the relevant parameters are further modified.

Description

Technical Field

[0001] This invention relates to the field of micro-vibration control technology for large precision equipment, and more specifically to a multi-objective constraint process for micro-vibration control of a large light source storage ring foundation in a soft soil site adjacent to water. Background Technology

[0002] The requirements for micro-vibration control of large-scale precision equipment are very high, generally requiring vibration control standards to reach at least VC-E level or higher to ensure experimental accuracy. However, there are currently few micro-vibration control methods for large-scale precision equipment in special geographical locations, and traditional micro-vibration control methods have some shortcomings in application to special geographical locations, such as:

[0003] The constraints on site micro-vibration control are singular. When assessing single vibration sources, a single-objective method is used. However, for large light source storage ring foundations in special geological conditions such as soft soil sites adjacent to water bodies, the vibration source types and influencing factors are complex. Insufficient consideration during the design process can easily lead to vibration effects exceeding standard limits.

[0004] Static weight allocation. Traditional methods use fixed weighting coefficients for different types of vibration sources (e.g., a uniform 30% weighting for traffic vibrations). However, actual measurements show that the weighting for water bodies can reach 45% during the rainy season and only 32% during the dry season, rendering static allocation ineffective for control measures. In reality, the weighting parameters for different vibration sources are influenced by multiple factors, including soft soil thickness Hs, distance from the river Dr, soil shear wave velocity Vs, track distance Dt, foundation resonant frequency f0, equipment density ρe, surface damping ratio ξ, and building coverage Cb. The weighting coefficients should be dynamically adjusted based on actual conditions.

[0005] The neglect of vibration source coupling effects is a significant issue. Existing standards (such as GB 50463) evaluate each vibration source individually, failing to consider the difference frequency effect (40% energy enhancement in the |f1-f2| frequency band) caused by water-traffic vibrations in soft soil, resulting in measured vibrations exceeding the standard by 2.3 times. To achieve the ultimate optimal control standard, a multi-factor real-time coupling constraint mechanism should be established, comprehensively considering geological environmental parameters, geometric geographical location, and the influence of vibration and settlement.

[0006] Therefore, new technologies are needed to at least partially overcome the shortcomings of existing technologies. Summary of the Invention

[0007] This invention aims to establish a multi-objective constraint process system for the micro-vibration control of large-scale light source storage ring foundations in soft soil sites adjacent to water areas. First, a mapping relationship between site vibration source characteristics and site parameters under adjacent water and traffic conditions is established, allowing the determination of the contribution weight coefficients of different types of vibration sources in the dynamic response. Then, the vibration energy generated by the four types of vibration sources is normalized and weighted, and the weighting coefficients of this function are optimized to obtain the minimum value of the overall sum, thereby achieving optimal control of the overall response. Finally, combining the site's physical environment parameters and geometric location under adjacent water and traffic conditions, and considering the site settlement constraint coefficient, a multi-objective constraint function is constructed to ensure that the impact of micro-vibration on the light source storage ring foundation is minimized.

[0008] More specifically, the present invention provides a multi-objective constraint process for micro-vibration control of a large light source storage ring foundation in soft soil sites adjacent to water areas, comprising:

[0009] 1) Determine the types of site vibration sources affecting the foundation of the large light source storage ring and the site design parameters, and measure the vibration characteristics of each vibration source;

[0010] 2) Determine the mapping relationship between vibration source characteristics and site design parameters, wherein the site design parameters include geological environment parameters and geometric geographical location parameters, and the mapping relationship includes the dynamic response contribution weight;

[0011] 3) Based on the overall composition relationship of the vibration response contribution of the light source storage ring under multiple vibration sources, construct a weighted control function for the multi-source response contribution:

[0012]

[0013] Where f is the frequency, and wi is the weighting coefficient of the i-th type of vibration source, satisfying S v,total (f) represents the total velocity spectral density at the storage ring under multiple vibration sources as a function of frequency; Sv,i(f) represents the velocity spectral density of the i-th type of vibration source at the storage ring as a function of frequency; Sv,spec(f) represents the tolerance value of the existing light source velocity spectral density as a function of frequency.

[0014] By optimizing the weighting coefficients of the control function, the total velocity density spectrum S is achieved. v，total Minimize the evaluation of (f);

[0015] 4) Measure the site micro-settlement response, and then, taking into account geological environmental parameters, geometric geographical location, and site micro-settlement response, further modify the multi-source response contribution weighted control function of step 3. The modified multi-objective constraint function for micro-vibration of the light source foundation is as follows:

[0016]

[0017] Where λ is the settlement constraint coefficient. vs represents the soil shear wave velocity; δ max The maximum settlement occurs at critical locations;

[0018] 5) Output the results that initially meet the multi-objective constraints, and conduct further evaluation of the vibration control situation. If the standard requirements are met, the constraints are used as a design reference; if not, return to step 3) and correct the relevant parameters until the requirements are met.

[0019] According to an embodiment of the present invention, the vibration source type includes ultra-low frequency vibration of water bodies, vibration of rail transit, vibration of power supply equipment, and vibration of pedestrians and wind loads.

[0020] According to an embodiment of the present invention, the existing light source is an SSRF / HEPS light source.

[0021] According to an embodiment of the present invention, the weighting coefficient for ultra-low frequency vibration in water is... Where Hs is the thickness of the soft soil and Dr is the distance from the river;

[0022] Vibration weighting factor for rail transit Where Vs is the soil shear wave velocity and Dt is the track distance;

[0023] Vibration weighting coefficient for power supply equipment: w3 = 0.02·ρ e ·|f0-25| -0.5 Where f0 is the fundamental resonant frequency and ρ e For equipment density;

[0024] The pedestrian and wind load vibration weighting coefficient w4 = 0.15·C b ·(0.03 / ξ), where ξ is the surface damping ratio, C b Building coverage.

[0025] According to an embodiment of the present invention, the critical location is the storage ring.

[0026] The multi-objective constraint process for micro-vibration control of the foundation of a large light source storage ring in soft soil adjacent to water areas, as described in the embodiments of the present invention, can achieve beneficial technical effects:

[0027] 1) A four-dimensional vibration source-site parameter dynamic mapping model was established. To more accurately express the impact of different vibration sources on the dynamic performance of the site (including steady-state vibration sources, random vibration sources, and settlement and creep), a two-way influence quantification table was established for four main vibration sources in adjacent water and traffic environments (ultra-low frequency vibration of water, rail transit vibration, power supply equipment vibration, and pedestrian and wind load vibration) and the physical and geometric parameters of the site. The detailed site parameters in the table mainly include two types: physical properties and geometric properties of the site. Through the relevant parameter mapping relationship proposed in this table, the dynamic response contribution weight coefficient of different vibration sources was determined.

[0028] 2) Constructing a weighted control function for multi-source vibration response contributions. Based on the overall composition of vibration response contributions from multiple sources at the storage ring location, a weighted control function for multi-source vibration response contributions is constructed. The weighting coefficients of each source contribution in this function can serve as multi-objective constraints for micro-vibration site selection. This multi-objective function normalizes and weights the vibration energy generated by the four types of sources at the storage ring, minimizes the sum of the results, and then optimizes the weighting coefficients to obtain the minimum value of the sum of the velocity spectral density. This allows the vibrations generated by various sources at the storage ring to achieve the optimal overall vibration response while meeting the basic standards of the light source.

[0029] 3) Improving the multi-objective constraint function under geological and geometric conditions. This invention primarily addresses the environmental assessment of micro-vibration of light source foundations located near water bodies and transportation routes. The assessment involves two types of design parameters: geological environmental parameters and geometric geographical location. It also considers the impact of soft soil geology on the micro-settlement of the completed light source foundation. Therefore, this invention, based on geological and geometric conditions, separately assesses the impact of site micro-settlement on foundation deformation, and after correction and improvement, constructs a complete multi-objective constraint function for micro-vibration at key locations. The vibration response is corrected through the synergistic feedback of the settlement constraint coefficient λ and geological and geometric parameters. Attached Figure Description

[0030] Figure 1 This is a flowchart illustrating the multi-objective constraint process for micro-vibration control of a large light source storage ring foundation in soft soil adjacent to water areas according to an embodiment of the present invention. Detailed Implementation

[0031] The present invention can be better understood from the accompanying drawings and the following embodiments. However, those skilled in the art will readily understand that the descriptions in the embodiments are for illustrative purposes only and should not, and will not, limit the scope of the invention.

[0032] Figure 1This is a schematic flowchart illustrating the multi-objective constraint process for micro-vibration control of a large light source storage ring foundation in a soft soil site adjacent to water area according to an embodiment of the present invention. As shown in the figure, the multi-objective constraint process for micro-vibration control of a large light source storage ring foundation in a soft soil site adjacent to water area according to the embodiment may include the following steps:

[0033] First, based on the preliminary actual test results of the vibration source types and data, including the site design parameters and construction geometric location parameters of the proposed site location, for soft soil sites adjacent to water areas, the main vibration sources can be divided into four types: ultra-low frequency vibration from water areas, vibration from rail transit, vibration from power supply equipment, and vibration from pedestrians and wind loads. That is, the displacement influence of the large light source storage ring foundation at this site is mainly composed of these four vibration sources.

[0034] Then, a mapping relationship between vibration source characteristics and site parameters was established. More specifically, to more accurately express the impact of four types of vibration sources on site dynamic performance (including steady-state vibration sources, random vibration sources, and settlement and creep), a mapping relationship table between vibration source characteristics and site parameters was proposed, as shown in Table 1 below:

[0035]

[0036] The detailed site parameters in the above mapping table mainly include two types: physical properties and geometric properties. Physical parameters mainly include: soft soil thickness Hs, shear wave velocity Vs, foundation resonant frequency f0, damping ratio ξ, etc., which directly relate to the energy transfer efficiency of the vibration source. Geometric parameters mainly include: distance from the river Dr, track distance Dt, equipment density ρe, building coverage Cb, etc., which determine the vibration source attenuation path.

[0037] Based on the overall composition relationship of the vibration response contribution of the light source storage ring under multiple vibration sources, a weighted control function for the multi-source response contribution is constructed as follows:

[0038]

[0039] Where f is the frequency, S v，total (f) represents the total velocity spectral density at the storage ring under multiple sources as a function of frequency; wi is the weighting coefficient of the i-th type of source, satisfying Weight coefficient optimization can be achieved through The contribution ratios of four types of vibration sources are constrained, with the minimum value of the function as the control target; Sv,i(f) represents the velocity spectral density of the i-th type of vibration source at the storage ring as a function of frequency, which can be obtained, for example, through site monitoring; Sv,spec(f) represents the tolerance value of the existing light source velocity spectral density as a function of frequency, and the tolerance value can be introduced as the baseline threshold of the SSRF / HEPS light source velocity spectral density tolerance value Sv,spec(f); the frequency domain adaptive function can cover the entire frequency band from 0.1 to 100 Hz, with a focus on suppressing ultra-low frequency (<1 Hz) disturbances in water areas.

[0040] The weighting coefficients for each vibration source contribution in this function can serve as multi-objective constraints for the site selection of micro-vibration areas. This multi-objective function normalizes and weights the vibration energy generated at the storage ring by four types of vibration sources (i = 1 to 4, corresponding to water bodies, rail transit, power supply equipment, and pedestrian / wind loads, respectively), i.e., it performs a weighted summation of the squared normalized velocity spectral density. By optimizing the weighting coefficients of this function, the total velocity density spectrum S is achieved. v，total Minimizing (f) can achieve optimal overall control of the vibrations generated by various vibration sources at the storage ring, while meeting the basic standards of the light source.

[0041] Subsequently, the site's micro-settlement response was measured. Then, taking into account geological environmental parameters, geometric geographical location, and the site's micro-settlement response, the weighted control function for the multi-source response contribution was further modified. The modified multi-objective constraint function for the micro-vibration of the light source foundation is as follows:

[0042]

[0043] Where λ is the settlement constraint coefficient, λ=0.01·V s 1.2 , vs represents the soil shear wave velocity; δ max Maximum settlement at critical locations, such as the storage ring, can be obtained through monitoring.

[0044] This invention comprehensively considers site geological environment parameters and geometric geographical location parameters, and takes into account the significant impact of engineering construction and development in soft soil areas on the micro-settlement of the completed light source foundation. Therefore, a complete multi-objective constraint function for micro-vibration at key locations is constructed. The vibration response is corrected through the synergistic feedback of the settlement constraint coefficient λ with geological and geometric parameters.

[0045] In this constraint function formula, the settlement-sensitive quantification parameter is considered: λ = 0.01·V s 1.2The λ value of soft soil with low wave velocity is significantly increased, amplifying the settlement risk weight; parameter fusion: geological parameters are integrated with borehole wave velocity data, and geometric parameters are used to calibrate spatial coordinates; separation of dynamic and static loads: distinguishing the superposition effect of equipment operation vibration (dynamic) and soft soil creep settlement (static).

[0046] Finally, the results that initially meet the multi-objective constraints are output for further evaluation of vibration control. If the standard requirements are met, these constraints are used as a design reference. If not, the relevant parameters are further adjusted based on the actual situation until the requirements are met.

[0047] The embodiments of the present invention have been described above by way of example, but the present invention is not limited to the embodiments described above. The basic idea of ​​the present invention lies in the above basic scheme. For those skilled in the art, designing various modified models, formulas, and parameters based on the teachings of the present invention does not require creative effort. Changes, modifications, substitutions, and variations made to the embodiments without departing from the principles and spirit of the present invention still fall within the protection scope of the present invention.

Claims

1. A multi-objective constraint technology for micro-vibration control of a large light source storage ring foundation in soft soil adjacent to water areas, characterized in that... include: 1) Determine the types of site vibration sources and site design parameters that affect the foundation of the large light source storage ring, and measure the vibration characteristics of each vibration source. The vibration source types include ultra-low frequency vibration of water bodies, vibration of rail transit, vibration of power supply equipment, and vibration of pedestrians and wind loads. 2) Determine the mapping relationship between vibration source characteristics and site design parameters, wherein the site design parameters include geological environment parameters and geometric geographical location parameters, and the mapping relationship includes the dynamic response contribution weight; 3) Based on the overall composition relationship of the vibration response contribution of the light source storage ring under multiple vibration sources, construct a weighted control function for the multi-source response contribution: ； Where f is the frequency, These are the weighting coefficients for the i-th type of vibration source, satisfying... ; S represents the total velocity spectral density at the storage ring under multiple vibration sources as a function of frequency; v,i (f) represents the velocity spectral density of the i-th type of vibration source at the storage ring as a function of frequency; S v,spec (f) represents the tolerance value of the velocity spectral density of the existing light source as a function of frequency; By optimizing the weighting coefficients of the control function, the total velocity density spectrum is achieved. Minimize the evaluation; 4) Measure the site micro-settlement response, and then, taking into account geological environmental parameters, geometric location, and site micro-settlement response, further modify the multi-source response contribution weighted control function of step 3). The modified multi-objective constraint function for micro-vibration of the light source foundation is as follows: ， Where λ is the settlement constraint coefficient. V s The shear wave velocity of the soil; The maximum settlement occurs at critical locations; 5) Output the results that initially meet the multi-objective constraints, and conduct further evaluation of the vibration control. If the standard requirements are met, then the constraints are used as a design reference; if not, return to step 3) and correct the relevant parameters until the requirements are met. Among them, the weighting coefficient of ultra-low frequency vibration in water area H s For the thickness of soft soil, D r Distance from the river; Vibration weighting factor for rail transit , where V s For soil shear wave velocity, D t The distance is the orbital distance. Vibration weighting coefficient of power supply equipment Where f0 is the fundamental resonant frequency and ρ e For equipment density; Pedestrian and wind load vibration weighting coefficients Where ξ is the surface damping ratio, C b Building coverage.

2. The multi-objective constraint technology for micro-vibration control of a large light source storage ring foundation in soft soil adjacent to water areas as described in claim 1, is characterized in that... The existing light source is an SSRF or HEPS light source.

3. The multi-objective constraint technology for micro-vibration control of a large light source storage ring foundation in soft soil adjacent to water areas as described in claim 1, is characterized in that... The critical location is at the storage ring.

Images