CN114896867A - Shock insulation structure and design method thereof - Google Patents
Shock insulation structure and design method thereof Download PDFInfo
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- CN114896867A CN114896867A CN202210421958.2A CN202210421958A CN114896867A CN 114896867 A CN114896867 A CN 114896867A CN 202210421958 A CN202210421958 A CN 202210421958A CN 114896867 A CN114896867 A CN 114896867A
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Abstract
The invention discloses a shock insulation structure, and particularly relates to the technical field of civil engineering shock insulation, which comprises a concrete box, a concrete cap, a low-rigidity rubber bearing, a steel cylinder and a metamaterial enveloping layer, wherein the concrete box is of a four-side hollow square column structure, the concrete cap comprises two cubic flat plates which are arranged up and down and have the same shape, the low-rigidity rubber bearing is positioned between the steel cylinder and the concrete cap, the diameter of the steel cylinder is the same as that of the low-rigidity rubber bearing, the metamaterial enveloping layer is uniformly wrapped on the side surface of the steel cylinder, and the metamaterial enveloping layer is made of a negative poisson's ratio material. The invention discloses a negative Poisson ratio local resonance type resonator which is invented by utilizing the characteristics that a negative Poisson ratio metamaterial has good damping and energy absorption characteristics and a local resonance type seismic metamaterial can realize low-frequency seismic isolation, and is periodically arranged to form a seismic metamaterial seismic isolation barrier, wherein the seismic isolation barrier can obtain a low-frequency band gap, and the isolation of low-frequency seismic waves is realized.
Description
Technical Field
The invention relates to the technical field of civil engineering shock insulation, in particular to a shock insulation structure and a design method thereof.
Background
The earthquake capability is carried by earthquake waves, the frequency range of the earthquake capability is 0.1-20Hz, and the traditional earthquake isolation barrier is difficult to realize the earthquake isolation of low-frequency earthquake waves.
In order to solve the defect that the traditional shock insulation barrier is difficult to isolate low-frequency seismic waves, the invention combines the characteristics that a negative Poisson ratio metamaterial has good damping and energy absorption characteristics and a local resonance type seismic metamaterial can realize low-frequency shock insulation, and provides a novel seismic metamaterial energy dissipater, and the shock insulation barrier which can realize ultra-low frequency band gap is combined by the novel seismic metamaterial energy dissipater. Based on a deep learning method, the reverse design method of the shock insulation barrier is realized by analyzing the specific requirements of the engineering shock insulation band gap. The invention can realize the isolation of the ultralow frequency seismic waves in the field of engineering seismic isolation, and the design method provided by the invention can improve the pertinence and efficiency of the design of the seismic isolation barrier aiming at specific engineering.
Disclosure of the invention
In order to overcome the defects in the prior art, the embodiment of the invention provides a seismic isolation structure and a design method thereof, and the negative poisson ratio local resonance type resonator is invented by utilizing the characteristics that the negative poisson ratio metamaterial has good damping and energy absorption characteristics and the local resonance type seismic metamaterial can realize low-frequency seismic isolation, and is periodically arranged to form a seismic metamaterial seismic isolation barrier, and the seismic isolation barrier can obtain a low-frequency band gap to realize isolation of low-frequency seismic waves so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: a seismic isolation structure comprises a concrete box, a concrete cap, a low-rigidity rubber bearing, a steel cylinder and a metamaterial envelope layer.
In a preferred embodiment, the concrete box is a four-side hollow square column structure, the top and the bottom of the concrete box are provided with reversed-square platform grooves, the four-side hollow square column structure is formed by connecting four rectangular flat plates with the same shape according to long edges, the rectangular flat plates are formed by pouring concrete, the total mass of the rectangular flat plates is used as a main design parameter and is used for protecting a negative poisson ratio local resonance type resonator, the concrete box influences the seismic isolation efficiency of the seismic isolation unit, and the design parameter is determined by a reverse design method of the seismic isolation barrier.
In a preferred embodiment, the concrete cap comprises two cubic flat plates which are arranged up and down and have the same shape, the cubic flat plates are formed by pouring concrete, the size of the cubic flat plate positioned above is the same as that of the reserved square-shaped platform groove at the top of the concrete box, the size of the cubic flat plate positioned below is the same as that of the reserved square-shaped platform groove at the bottom of the concrete box, the concrete box and the concrete cap form a whole, the size of the mass of the concrete box is used as a design parameter, the frequency band gap width and range of the seismic isolation barrier are influenced, and the frequency band gap width and range are determined by a reverse design method of the seismic isolation barrier.
In a preferred embodiment, the low-stiffness rubber bearing is a low-stiffness elastic rubber block in the form of two cylinders, the low-stiffness rubber bearing is located between a steel cylinder and a concrete cap, and the concrete cap and the steel cylinder are connected through the low-stiffness rubber bearing for the purpose of adjusting the natural resonance frequency of the negative poisson's ratio local resonance type resonator.
In a preferred embodiment, the diameter of the steel cylinder is the same as that of the low-rigidity rubber bearing, and the top surface and the bottom surface of the steel cylinder are respectively connected with the low-rigidity rubber bearings at the upper end and the lower end, which serve as the effective mass of the negative poisson's ratio local resonance type resonator and can adjust the upper limit value and the lower limit value of the frequency band gap.
In a preferred embodiment, the metamaterial enveloping layer is uniformly wrapped on the side face of the steel cylinder, the metamaterial enveloping layer is made of a negative poisson ratio material, and the negative poisson metamaterial has good energy absorption and damping characteristics and can play a role in increasing damping and energy absorption of the local resonator. The elastic modulus, the negative Poisson ratio and the mass density of the metamaterial are used as design parameters of the shock isolation unit, and can be determined by a reverse design method based on a deep nerve according to actual engineering.
In a preferred embodiment, the method further comprises a countermeasure type deep neural network reverse design method, which comprises a parameter decoder and a countermeasure type deep learning reverse design method, so that the design parameters required by calculation for the target frequency band gap in actual engineering can be calculated, and accurate reverse design of each parameter of the novel seismic isolation barrier can be realized.
In a preferred embodiment, the parameter decoder is a linear or nonlinear mapping of the design parameters of the seismic isolation barrier and the attenuation domain band gap thereof, and can decode the design parameters into the frequency of the seismic isolation band gap, which can be embodied as equation model mapping or machine learning model mapping. The mapping consists of a statistical empirical formula of a large amount of data or a classifier or perceptron of a machine learning model.
In a preferred embodiment, the countermeasure deep learning reverse design method includes a countermeasure deep learning model, an input layer of which is a target design band gap, an intermediate layer of which is an output model parameter, and a discriminator of which is a parameter decoder, under the supervision of the higher-precision parameter decoder, the countermeasure deep learning reverse design method can more accurately generate the seismic isolation barrier design parameters of the target band gap, and under the supervision of the higher-precision parameter decoder, the countermeasure deep learning reverse design method can more accurately generate the seismic isolation barrier design parameters of the target band gap.
The invention has the technical effects and advantages that:
1. compared with the prior art, the seismic isolation structure and the design method provided by the invention utilize the characteristics that the negative Poisson ratio metamaterial has good damping and energy absorption characteristics and the local resonance type seismic metamaterial can realize low-frequency seismic isolation, the negative Poisson ratio local resonance type resonator is invented and is periodically arranged to form the seismic metamaterial seismic isolation barrier, and the seismic isolation barrier can obtain a low-frequency band gap and realize isolation of low-frequency seismic waves;
2. establishing a countermeasure deep learning model based on the corresponding database, taking a decoder as a supervision module, combining the ultralow frequency target shock insulation requirements of the actual engineering, inputting the upper and lower limits of the target attenuation domain band gap into the deep learning model, outputting design parameters, decoding by the decoder, the error of the comparison target design parameter is used as a training error for supervising the training of the deep learning model, when the error converges to 0, the design parameter value of the specified frequency band gap is obtained when the model converges, compared with the prior art, the method for deep learning is applied to the reverse design of the periodic metamaterial ultra-low frequency band gap seismic isolation barrier, and the confrontation type deep learning model is constructed based on the high-precision pre-training parameter decoder, the method can realize accurate design of the actual target engineering seismic isolation frequency seismic isolation band gap based on the target seismic isolation band gap, and improve the efficiency of actual engineering design.
Drawings
FIG. 1 is a schematic view of an arrangement of a seismic isolation structure according to the present invention;
FIG. 2 is a schematic structural diagram of a seismic isolation structure according to the present invention;
FIG. 3 is a schematic diagram of a deep learning model training process of the reverse design method of the seismic isolation structure.
FIG. 4 is a schematic view of a concrete cap in a seismic isolation structure according to the present invention;
FIG. 5 is a schematic illustration of the concrete tank and the concrete cap of the seismic isolation structure of the present invention;
fig. 6 is a schematic diagram of a frequency dispersion curve of a seismic isolation structure obtained through a deep learning model in embodiment 1 of the present invention.
The reference signs are: 1. a concrete box; 2. a concrete cap; 3. a low-stiffness rubber bearing; 4. a steel cylinder; 5. and (4) a metamaterial envelope layer.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
As shown in fig. 1-6, the isolation structure in this embodiment is a novel seismic metamaterial energy dissipater, specifically a negative poisson's ratio local resonance resonator, and includes a concrete box 1, a concrete cap 2, a low-rigidity rubber bearing 3, a steel cylinder 4, and a metamaterial envelope layer 5.
The thickness of the concrete box 1 is 0.1m, and the size of the concrete cap 2 is long: width: the high-rigidity rubber bearing 3 and the steel cylinder 4 have the cross-sectional radius r of 0.5m, the high-rigidity rubber bearing 1.7m:1.7m:0.3m, and the thickness T of the low-rigidity rubber bearing 3 c Is 0.1m, the height of the steel cylinder 4 is 1.7m, and the thickness T of the negative Poisson ratio material in the metamaterial envelope layer 5 wrapped on the steel cylinder 4 n 0.1m, the negative poisson's ratio material in this example is shown in fig. 5.
The Poisson ratio v, the elastic modulus E and the mass density rho of the negative Poisson ratio material, the total weight Mb of the concrete box and the distance a and b between the novel seismic metamaterial energy dissipater in the seismic isolation barrier are used as design parameters.
Based on the reverse design method, firstly, the selectable value ranges of all design parameters are subjected to cross value taking to establish a proper number of numerical analysis models, and a database corresponding to different parameter values and the attenuation band gaps of the shock insulation barrier is obtained.
The decoder is constructed according to a certain mapping relation based on the corresponding database construction, and the decoder is trained by using a neural network in the embodiment. And (3) obtaining a decoder by inputting and training the neural network based on the data of the database, wherein the decoder receives the input of the design parameters and returns the output of the seismic isolation band gap.
Establishing a countermeasure deep learning model based on the corresponding database, taking a decoder as a supervision module, combining the ultralow frequency target shock insulation requirements of actual engineering, inputting the upper limit and the lower limit of the target attenuation domain band gap into the deep learning model, outputting design parameters for supervising and training the deep learning model, and obtaining the design parameter value of the specified frequency band gap when the model converges. The structure of the deep learning model is shown in fig. 3.
Inputting a target ultralow frequency range of 3-6Hz of a certain practical engineering based on a confrontation type deep learning model, and obtaining design parameters which are respectively as follows: the Poisson ratio v of the negative Poisson ratio material is-0.7, and the elastic modulus E is 2.5 multiplied by 10 4 pa a mass density rho of 120kg/m 3 And adjusting design parameters by controlling the proportion of the negative Poisson ratio material. Total weight M of concrete box b The spacing between single-layer seismic isolation units is equal to 0.7m, and the spacing between different-layer seismic isolation units is equal to 0.5m, wherein the spacing is 11 kN.
And performing numerical simulation on the obtained design parameters, wherein the result is shown in fig. 6, and fig. 6 is a dispersion curve of the novel seismic metamaterial energy dissipater, which is obtained by performing numerical simulation on a seismic isolation barrier constructed by the novel seismic metamaterial energy dissipater and performing calculation on the basis of parametric scanning of material parameters and periodic array parameters obtained by the countermeasure type deep learning network model.
Referring to fig. 6, a gray area is a shock insulation band gap acted by the novel seismic metamaterial energy dissipator, the band gap ranges from 1.6 Hz to 7.8Hz, a dotted line in the graph represents the wave velocity of shear waves, a solid line represents the wave velocity of rayleigh waves, the left part of the solid line represents the range of surface waves harmful to buildings, and the right part of the solid line represents the part of body waves, wherein the frequency of common seismic waves is 0.1 Hz to 20Hz, so that the novel seismic metamaterial energy dissipator can effectively attenuate ultra-low frequency seismic waves, the novel seismic metamaterial energy dissipator is periodically arranged according to design parameters, and referring to fig. 1, the novel seismic metamaterial shock insulation barrier is further formed, and the novel seismic metamaterial energy dissipator is very effective in attenuating low frequency seismic waves.
Example 2
The embodiment provides another seismic isolation structure, and the seismic isolation structure in the embodiment is a novel seismic metamaterial energy dissipater, in particular to a negative poisson ratio local resonance type resonator, and comprises a concrete box 1, a concrete cap 2, a low-rigidity rubber bearing 3, a steel cylinder 4 and a metamaterial envelope layer 5;
the hollow concrete box 1 is used for placing all components inside the novel seismic metamaterial energy dissipater; the concrete cap 2 is used for capping the concrete box 1 up and down and transmitting external vibration to the steel cylinder 4; the steel cylinder 4 is used for supporting the two concrete caps 2; the low-rigidity rubber bearing 3 is used for connecting the concrete cap 2 and the steel cylinder 4, transmitting the vibration effect and absorbing a part of seismic energy; the metamaterial envelope layer 5 is made of a negative Poisson ratio material and is used for absorbing and damping shock wave energy. The method can improve the vibration isolation capability of the ultra-low frequency seismic waves, and realizes the reverse design of the vibration isolation barrier aiming at the actual band gap requirement based on the reverse design method.
The working principle of the invention is as follows: when seismic waves are transmitted to the shock insulation barrier, the band gap of an attenuation domain of the seismic waves is 1.6-7.8Hz, most of the ultra-low frequency seismic waves are included, and the surface waves are absorbed by the shock insulation barrier or converted into downward-transmitted body waves, so that the capability of attenuating the low frequency seismic waves is realized. The working principle of the reverse design method is that based on a corresponding relation database of each parameter and the output band gap obtained by numerical simulation, the corresponding relation is fitted by using a deep learning method, and the function of inputting the target frequency band gap output design parameter is realized.
In conclusion, the novel seismic metamaterial shock insulation barrier and the reverse design method thereof provided by the invention can generate an ultra-wide low-frequency band gap when an earthquake occurs, effectively inhibit the low-frequency resonance phenomenon and further achieve the purpose of attenuating low-frequency seismic waves. Meanwhile, the parameter design capability of rapidly completing the shock insulation barrier according to different working conditions is realized.
The points to be finally explained are: first, in the description of the present application, it should be noted that, unless otherwise specified and limited, the terms "mounted," "connected," and "connected" should be understood broadly, and may be a mechanical connection or an electrical connection, or a communication between two elements, and may be a direct connection, and "upper," "lower," "left," and "right" are only used to indicate a relative positional relationship, and when the absolute position of the object to be described is changed, the relative positional relationship may be changed;
secondly, the method comprises the following steps: in the drawings of the disclosed embodiments of the invention, only the structures related to the disclosed embodiments are referred to, other structures can refer to common designs, and the same embodiment and different embodiments of the invention can be combined with each other without conflict;
and finally: the above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the present invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (9)
1. A seismic isolation structure, characterized by: the concrete box comprises a concrete box (1), a concrete cap (2), a low-rigidity rubber bearing (3), a steel cylinder (4) and a metamaterial enveloping layer (5).
2. A seismic isolation structure as claimed in claim 1, wherein: the concrete box (1) is a four-side hollow square column structure, the top and the bottom of the concrete box (1) are reserved with square-shaped grooves, the four-side hollow square column structure is formed by connecting four rectangular flat plates with the same shape according to long edges, and the rectangular flat plates are formed by pouring concrete.
3. A seismic isolation structure as claimed in claim 2, wherein: the concrete cap (2) comprises two cubic flat plates which are vertically arranged and have the same shape, the cubic flat plates are formed by pouring concrete, the size of the cubic flat plate positioned above is the same as that of the reserved square-shaped platform groove at the top of the concrete box (1), the size of the cubic flat plate positioned below is the same as that of the reserved square-shaped platform groove at the bottom of the concrete box (1), and the concrete box (1) and the concrete cap (2) form a whole.
4. A seismic isolation structure as claimed in claim 1, wherein: the low-rigidity rubber bearing (3) is two cylindrical low-rigidity elastic rubber blocks, the low-rigidity rubber bearing (3) is located between the steel cylinder and the concrete cap, and the concrete cap (2) is connected with the steel cylinder (4) through the low-rigidity rubber bearing (3).
5. A seismic isolation structure as claimed in claim 4, wherein: the diameter of the steel cylinder (4) is the same as that of the low-rigidity rubber bearing (3), and the top surface and the bottom surface of the steel cylinder (4) are respectively connected with the low-rigidity rubber bearing (3) at the upper end and the lower end.
6. A seismic isolation structure as claimed in claim 1, wherein: the metamaterial enveloping layer (5) is uniformly wrapped on the side face of the steel cylinder (4), and the metamaterial enveloping layer (5) is made of a negative Poisson's ratio material.
7. A seismic isolation structure according to any of claims 1 to 6, wherein: the confrontation type deep neural network reverse design method comprises a parameter decoder and the confrontation type deep learning reverse design method.
8. The method of claim 7, wherein the method comprises: the parameter decoder is used for linear or nonlinear mapping of the design parameters of the vibration isolation barrier and the attenuation domain band gap of the vibration isolation barrier.
9. The method of claim 7, wherein the method comprises: the countermeasure type deep learning reverse design method comprises a countermeasure type deep learning model, wherein an input layer of the countermeasure type deep learning model is used for designing upper and lower band gap limits for a target, an intermediate layer is used for designing parameters of a vibration isolation barrier, and a discriminator is used as a parameter decoder.
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| CN115823158A (en) * | 2022-11-19 | 2023-03-21 | 福州大学 | Orthogonal wire mesh structure with negative Poisson's ratio and adjustable band gap and preparation method thereof |
| CN115823158B (en) * | 2022-11-19 | 2024-05-31 | 福州大学 | Orthogonal wire mesh structure with negative poisson ratio and adjustable band gap and preparation method |
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Cited By (2)
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| CN115823158A (en) * | 2022-11-19 | 2023-03-21 | 福州大学 | Orthogonal wire mesh structure with negative Poisson's ratio and adjustable band gap and preparation method thereof |
| CN115823158B (en) * | 2022-11-19 | 2024-05-31 | 福州大学 | Orthogonal wire mesh structure with negative poisson ratio and adjustable band gap and preparation method |
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