Foundation micro-vibration control multi-target constraint process for large-scale light source storage ring in soft soil site adjacent to water area

Abstract

The micro-vibration control multi-target constraint process for the large light source storage ring foundation adjacent to the water area soft soil site comprises the steps that (1) site vibration source types and site design parameters influencing the large light source storage ring foundation are determined, and vibration characteristics of all vibration sources are measured; 2) determining a mapping relation between vibration source characteristics and site design parameters; 3) constructing a multi-vibration-source response contribution weighted control function according to the total constitution relationship of the vibration response contributions of the light source storage ring positions under multiple vibration sources; 4) further correcting the multi-vibration-source response contribution weighting control function in the step 3, and constructing a light source basic micro-vibration multi-target constraint function; 5) outputting a result which preliminarily meets a multi-target constraint condition, performing further vibration control condition evaluation, and if a standard requirement limit is met, using the constraint condition as a design reference; and if not, the relevant parameters are further corrected.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of micro-vibration control of large-scale precision equipment, and more particularly to a micro-vibration control multi-target constraint process for a large-scale light source storage ring foundation adjacent to a water area soft soil site. BACKGROUND

[0002] The micro-vibration control of large-scale precision equipment has high requirements, and generally requires that the vibration control standard at least reaches VC-E level or higher to ensure experimental precision. However, there are few micro-vibration control methods for large-scale precision equipment in special geographical sites at present, and the application of traditional micro-vibration control methods in special geographical sites has some deficiencies, for example:

[0003] The constraint target of site micro-vibration control is single. When facing single vibration source evaluation, a single target method is used, but for large-scale light source storage ring infrastructure adjacent to a water area soft soil site, the type and influencing factors of the vibration source are complex, and insufficient consideration in the design process can lead to vibration impact exceeding the standard limit.

[0004] Static weight allocation. Regarding different types of vibration sources, the traditional method fixes the weight coefficient (such as traffic vibration uniformly taking 30%), but actual measurement shows that the water area weight can reach 45% in the rainy season and only 32% in the dry season, and static allocation leads to the failure of control measures. In fact, the weight parameter of different vibration sources is affected by many factors such as soft soil thickness Hs, distance from river Dr, soil shear wave velocity Vs, track distance Dt, foundation resonance frequency f0, equipment density ρe, ground damping ratio ξ, building coverage rate Cb, etc. The weight coefficient should be dynamically changed in combination with the actual situation.

[0005] Neglect of vibration source coupling effect. Existing standards (such as GB 50463) evaluate each vibration source separately and do not consider the difference frequency effect (|f1-f2| band energy enhancement of 40%) of water-traffic vibration in soft soil, which leads to a 2.3 times excess of the measured vibration. To achieve the final optimal control standard, geological environmental parameters, geometric geographical location, vibration and settlement effects should be considered, and a multi-factor real-time coupling constraint mechanism should be established.

[0006] Therefore, there is a need for new technology to at least partially overcome the deficiencies in the prior art. SUMMARY

[0007] The present application aims to establish a multi-objective constraint process for micro-vibration control of large light source storage ring foundation adjacent to water soft soil site. First, the mapping relationship between vibration source characteristics and site parameters under the condition of adjacent water and traffic environment is established, so that the contribution weight coefficient of different types of vibration sources in dynamic response can be determined. Then, the vibration energy generated by the four types of vibration sources is normalized and weighted, and the weighting coefficient of the function is optimized, and then the minimum evaluation of the total sum is obtained, so that the optimal control effect of the overall response can be achieved. Finally, combined with the physical environmental parameters and geographical location of the site adjacent to water and traffic, and considering the site settlement constraint coefficient, a multi-objective constraint function is constructed to minimize the micro-vibration impact on the light source storage ring foundation.

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

[0009] 1) Determine the site vibration source type and site design parameters affecting the large light source storage ring foundation, 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 environmental parameters and geometric geographical location parameters, and the mapping relationship includes dynamic response contribution weight;

[0011] 3) According to the total contribution relationship of light source storage ring position vibration response under multi-vibration source, construct a multi-vibration source response contribution weighted control function:

[0012]

[0013] Wherein, f is the frequency, wi is the weight coefficient of the i-th type of vibration source, which satisfies S v,total (f) represents the total velocity spectrum density at the storage ring as a function of frequency under multi-vibration source; Sv,i(f) represents the velocity spectrum density at the storage ring as a function of frequency of the i-th type of vibration source; Sv,spec(f) represents the existing light source velocity spectrum density tolerance value as a function of frequency;

[0014] By optimizing the weighting coefficient of the control function, the minimum evaluation of the total velocity density spectrum S v，total (f) is realized;

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

[0016]

[0017] wherein λ is a settlement constraint coefficient, vs is a soil shear wave velocity; δ max is the maximum settlement of the key position;

[0018] 5) The result output preliminarily satisfying the multi-target constraint condition is used for further vibration control condition evaluation, if the constraint condition meets the standard requirement limit, the constraint condition is used as a design reference; if not, step 3) is returned further and the related parameters are corrected until the requirement is met.

[0019] According to the embodiment of the present application, wherein the vibration source type includes water area ultra-low frequency vibration, rail transit vibration, energy supply equipment vibration, pedestrian and wind load vibration.

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

[0021] According to the embodiment of the present application, wherein the water area ultra-low frequency vibration weight coefficient wherein Hs is the soft soil thickness, and Dr is the distance from the river;

[0022] The rail transit vibration weight coefficient wherein Vs is the soil shear wave velocity, and Dt is the rail distance;

[0023] The energy supply equipment vibration weight coefficient w3=0.02·ρ e ·|f0-25| -0.5 wherein f0 is the base resonance frequency, and ρ e is the equipment density;

[0024] The pedestrian and wind load vibration weight coefficient w4=0.15·C b ·(0.03 / ξ), wherein ξ is the ground damping ratio, and C b is the building coverage rate.

[0025] According to the embodiment of the present application, wherein the key position is at the storage ring.

[0026] The multi-target constraint process for micro-vibration control of a large light source storage ring foundation in a soft soil site adjacent to a water area according to the embodiment of the present application can achieve the beneficial technical effects:

[0027] 1) The four-dimensional vibration source-site parameter dynamic mapping model is established. In order to more accurately express the influence 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 quantization table of vibration source type (i=1~4) and site physical and geometric parameters is established for four main vibration sources (water ultra-low frequency vibration, rail transit vibration, energy supply equipment vibration, and pedestrian and wind load vibration) under the condition of adjacent water area and traffic environment. The detailed site parameters in the table mainly include two types, one is the physical property of the site, and the other is the geometric property of the site. Through the mapping relationship of the related parameters in the table, the dynamic response contribution weight coefficient of different vibration sources is determined;

[0028] 2) The multi-vibration source response contribution weighting function is constructed. For the total composition relationship of the vibration response contribution of the light source storage ring position under multi-vibration sources, the multi-vibration source response contribution weighting function is constructed. The vibration contribution weighting coefficient in the function can be used as a multi-objective constraint condition for the site selection of the micro-vibration site. Through the normalization and weighting processing of the vibration energy generated by the four types of vibration sources at the storage ring by the multi-objective function, and the minimization processing of the result sum, and the optimization of the weighting coefficient, the minimum evaluation of the total speed spectrum density is obtained, so that the vibration generated by each type of vibration source at the storage ring can achieve the overall optimal effect of the vibration response under the premise of meeting the light source basic standard.

[0029] 3) The multi-objective constraint function under the conditions of geology and geometry is perfected. The present application mainly faces the light source type basic micro-vibration environment evaluation adjacent to water area and traffic. The design parameters involved in the evaluation process include two types, one is the geological environment parameter, and the other is the geometric geographical position. At the same time, the influence of the geology of soft soil area on the micro-settlement of the light source foundation after completion is also considered. Therefore, based on the geological and geometric conditions, the influence evaluation of the site micro-settlement on the foundation deformation is separated and added in the present application. After correction and perfection, a complete multi-objective constraint function of the key position micro-vibration is constructed. The vibration response is modified through the cooperative feedback of the settlement constraint coefficient λ and the geological parameters and the geometric parameters. BRIEF DESCRIPTION OF DRAWINGS

[0030] Figure 1 It is a flowchart of the multi-objective constraint process of the large light source storage ring foundation micro-vibration control according to the adjacent water area soft soil site large light source storage ring foundation micro-vibration control multi-objective constraint process of the present application. DETAILED DESCRIPTION

[0031] The present application can be better understood according to the drawings and the following examples. However, those skilled in the art will easily understand that the content described in the examples is only used to illustrate the present application, and should not and will not limit the present application.

[0032] Figure 1A flowchart of a multi-objective constrained process for micro-vibration control of a large light source storage ring foundation adjacent to a water area soft soil site according to an embodiment of the application. As shown, the multi-objective constrained process for micro-vibration control of a large light source storage ring foundation adjacent to a water area soft soil site according to an embodiment of the application can include the following steps:

[0033] First, according to the types and data of the actual test site vibration sources, including the site design parameters and the geometric position parameters of the site selected location. For a soft soil site adjacent to a water area, the main vibration sources can be divided into four types, including water area ultra-low frequency vibration, rail transit vibration, energy supply equipment vibration, and pedestrian and wind load vibration, i.e., the displacement of the large light source storage ring foundation of the site is mainly affected by the four types of vibration sources.

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

[0035]

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

[0037] According to the total composition relationship of the vibration response of the light source storage ring position under multiple vibration sources, a multi-vibration source response contribution weighted control function is constructed, as follows:

[0038]

[0039] where f is the frequency, S v，total (f) represents the total velocity spectrum density at the storage ring under multiple vibration sources as a function of frequency; wi is the weight coefficient of the i-th type of vibration source, which satisfies The weight coefficient optimization can be performed by The contribution proportion of the four types of vibration sources is constrained, and a function minimum value is taken as a control target; Sv,i(f) represents the velocity spectrum density of the i-th type of vibration source at the storage ring as a function of frequency, which can be obtained by site monitoring, for example; Sv,spec(f) represents a pre-existing light source velocity spectrum density tolerance value as a function of frequency, and the tolerance value can introduce the SSRR / HEPS light source velocity spectrum density tolerance value Sv,spec(f) as a reference threshold; the frequency domain self-adaption can cover the full frequency band of 0.1-100Hz, and the water area ultra-low frequency (<1Hz) disturbance is mainly suppressed.

[0040] The vibration source contribution weighting coefficients in the function can be taken as multi-objective constraint conditions for micro-vibration site selection. The vibration energy generated by the four types of vibration sources (i=1 to 4 corresponding to water area, rail transit, energy supply equipment, and pedestrian / wind load) at the storage ring is normalized and weighted by the multi-objective function, that is, the normalized velocity spectrum density square is weighted and summed. By optimizing the weighting coefficients of the function, the minimum evaluation of the total velocity density spectrum S v，total (f) can make the vibration generated by each type of vibration source at the storage ring achieve the best control effect under the premise of meeting the light source basic standard.

[0041] Then, the site micro-settlement response is measured, and then the geological environment parameters, geometric geographical position, and site micro-settlement response are comprehensively considered to further modify the above multi-vibration source response contribution weighting control function. The modified light source basic micro-vibration multi-objective constraint function is as follows:

[0042]

[0043] Wherein, λ is a settlement constraint coefficient, λ=0.01·V s 1.2 , vs is the shear wave velocity of the soil; δ max is the maximum settlement at a key position such as the storage ring, which can be obtained by monitoring.

[0044] The present application comprehensively considers the site geological environment parameters and geometric geographical position parameters, and takes into account the fact that the engineering construction and development of soft soil areas have a great influence on the micro-settlement of the completed light source foundation, and then a complete key position micro-vibration multi-objective constraint function is constructed. The vibration response is modified through the cooperative feedback of the settlement constraint coefficient λ and the geological parameters and geometric parameters.

[0045] In the constraint function formula, the settlement sensitive quantization parameter λ=0.01·V s 1.2, soft soil low wave velocity field λ value increases significantly, amplification settlement risk weight; parameter fusion: geological parameters integrate borehole wave velocity data, geometric parameters calibrate spatial coordinates; dynamic and static load separation: distinguish the superposition effect of equipment operation vibration (dynamic) and soft soil creep settlement (static).

[0046] Finally, the results that preliminarily meet the multi-objective constraint conditions are output, further vibration control condition evaluation is performed, if the constraint conditions meet the standard requirement limit, the constraint conditions are applied as design reference. If not, the related parameters are further modified in combination with the actual situation until the requirements are met.

[0047] The above exemplary describes the embodiments of the present application, but the present application is not limited to the above described embodiments. The basic idea of the present application is the above basic scheme, and according to the teaching of the present application, various transformed models, formulas and parameters can be designed without creative labor for those skilled in the art. Changes, modifications, replacements and transformations of the embodiments without departing from the principles and spirits of the present application still fall within the protection scope of the present application.

Claims

1. A large light source storage ring foundation micro-vibration control multi-objective constraint process for soft soil site adjacent to water area, characterized in that, The method comprises the following steps: 1) determining the types of vibration sources affecting the site of a 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 the vibration source characteristics and the site design parameters, wherein the site design parameters include geological environment parameters and geometric geographical position parameters, and the mapping relationship includes a dynamic response contribution weight; 3) constructing a multi-vibration source response contribution weighted control function according to the total composition relationship of the vibration response contribution of the light source storage ring position under multiple vibration sources; where f is the frequency, wi is the weighting factor of the i-th vibration source, satisfying S v，total (f) represents the total velocity spectral density at the storage ring as a function of frequency under multiple vibration sources; Sv,i(f) represents the velocity spectral density at the storage ring of the i-th vibration source as a function of frequency; and Sv,spec(f) represents the existing light source velocity spectral density tolerance value as a function of frequency. By optimizing the weighting coefficients of the control function, the total speed-density spectrum S v，total the minimization evaluation of (f) 4) measuring the site micro-settlement response, and then comprehensively considering the geological environment parameters, the geometric geographical position and the site micro-settlement response to further correct the multi-vibration source response contribution weighted control function of step 3, and the corrected light source foundation micro-vibration multi-objective constraint function is as follows: Wherein, λ is the settlement constraint coefficient, λ = 0.01·Vs 1.2 , Vs is the soil shear wave velocity; δ max is the maximum settlement of the key position; 5) outputting the result preliminarily meeting the multi-objective constraint condition, further evaluating the vibration control condition, if the constraint condition meets the standard requirement limit, the constraint condition is applied as a design reference; if not, further returning to step 3) and correcting the related parameters until the requirement is met.

2. The large light source storage ring foundation micro-vibration control multi-objective constraint process of soft soil site adjacent to water area according to claim 1, characterized in that, The vibration source types include water area ultra-low frequency vibration, rail transit vibration, energy supply equipment vibration, pedestrian and wind load vibration.

3. The large light source storage ring foundation micro-vibration control multi-objective constraint process of soft soil site adjacent to water area according to claim 1, characterized in that, The existing light source is an SSRF / HEPS light source.

4. The large light source storage ring foundation micro-vibration control multi-objective constraint process of soft soil site adjacent to water area according to claim 2, characterized in that, Water area ultra-low frequency vibration weight coefficient where Hs is the soft soil thickness, Dr is the distance from the river; Rail transit vibration weight coefficient wherein Vs is the soil shear wave velocity, Dt is the track distance; Energy supply device vibration Energy supply device vibration weight coefficient w3 = 0.02? p e · |f0- 25| -0.5 where f0is the base resonance frequency, p e is the device density; Pedestrian and wind load vibration weight coefficient w4 = 0.15-C b (0.03 / ξ), where ξ is the surface damping ratio, C b is the building coverage.

5. The large light source storage ring foundation micro-vibration control multi-objective constraint process of soft soil site adjacent to water area according to claim 4, characterized in that, The key position is the storage ring.

Images