CN114896867B - Shock insulation structure and design method thereof - Google Patents
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- CN114896867B CN114896867B CN202210421958.2A CN202210421958A CN114896867B CN 114896867 B CN114896867 B CN 114896867B CN 202210421958 A CN202210421958 A CN 202210421958A CN 114896867 B CN114896867 B CN 114896867B
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Abstract
The invention discloses a shock insulation structure, in particular 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 cube 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 ratio material. The invention discloses a negative poisson ratio local resonance type resonator which is formed by periodically arranging the negative poisson ratio local resonance type resonator by utilizing the characteristics of good damping and energy absorption of a negative poisson ratio metamaterial and the characteristic of realizing low-frequency vibration isolation of a local resonance type earthquake metamaterial.
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 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 seismic isolation barrier is difficult to isolate low-frequency seismic waves, the invention combines the characteristics of good damping and energy absorption characteristics of the negative poisson ratio metamaterial and the low-frequency seismic isolation realized by the local resonance type seismic metamaterial, and invents a novel seismic metamaterial energy consumer which is combined into the seismic isolation barrier capable of realizing the ultra-low frequency band gap. Based on a deep learning method, the reverse design method of the shock insulation barrier is realized by analyzing specific engineering shock insulation band gap requirements. The method can realize isolation of ultralow-frequency seismic waves in the field of engineering seismic isolation, and the design method can improve pertinence and efficiency of the design of the seismic isolation barrier aiming at specific engineering.
Disclosure of Invention
In order to overcome the defects in the prior art, the embodiment of the invention provides a shock insulation structure and a design method thereof, and the characteristics of good damping and energy absorption characteristics of a negative poisson ratio metamaterial and low-frequency shock insulation of a local resonance type seismic metamaterial are utilized, so that the negative poisson ratio local resonance type resonator is invented and periodically arranged to form a seismic metamaterial shock insulation barrier, the shock insulation barrier can obtain a low-frequency band gap, and isolation of low-frequency seismic waves is realized, so that the problems in the background art are solved.
In order to achieve the above purpose, the present invention provides the following technical solutions: a shock insulation structure comprises a concrete box, a concrete cap, a low-rigidity rubber bearing, a steel cylinder and a metamaterial enveloping layer.
In a preferred embodiment, the concrete box is of a four-sided hollow square column structure, the top and the bottom of the concrete box are reserved with rectangular grooves, the four-sided hollow square column structure is formed by connecting four rectangular flat plates with the same shape according to long sides, the rectangular flat plates are formed by pouring concrete, the total mass of the rectangular flat plates is used as a main design parameter to protect a local resonance resonator with negative poisson ratio, the concrete box affects the vibration isolation efficiency of a vibration isolation unit, and the design parameter is determined by a reverse design method of a vibration isolation barrier.
In a preferred embodiment, the concrete cap comprises two cube flat plates which are arranged up and down and have the same shape, the cube flat plates are formed by casting concrete, the dimension of the cube flat plate positioned above is the same as the dimension of the reserved back-shaped groove at the top of the concrete box, the dimension of the cube flat plate positioned below is the same as the dimension of the reserved back-shaped groove at the bottom of the concrete box, the concrete box and the concrete cap form a whole, the mass of the concrete box is used as a design parameter, the frequency band gap width and the range of the shock insulation barrier are influenced, and the reverse design method of the shock insulation barrier is used for determining.
In a preferred embodiment, the low-rigidity rubber bearing is a low-rigidity elastic rubber block in the form of two cylinders, the low-rigidity rubber bearing is positioned between the steel cylinder and the concrete cap, and the concrete cap and the steel cylinder are connected through the low-rigidity rubber bearing, so that the purpose of adjusting the natural resonant frequency of the negative poisson ratio local resonant resonator is achieved.
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, and the top surface and the bottom surface of the steel cylinder are used as the effective mass of the negative poisson ratio local resonance type resonator, so that the upper limit value and the lower limit value of the frequency band gap can be adjusted.
In a preferred embodiment, the metamaterial enveloping layer is uniformly wrapped on the side surface 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 the 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 insulation unit, and the reverse design method can be set up according to the actual engineering by the reverse design method based on the deep nerve.
In a preferred embodiment, the method further comprises a counter-type deep neural network reverse design method, wherein the method comprises a parameter decoder and a counter-type deep learning reverse design method, so that required design parameters can be calculated aiming at a target frequency band gap in actual engineering, and accurate reverse design of each parameter of the novel shock insulation barrier is realized.
In a preferred embodiment, the parameter decoder is a linear or nonlinear mapping of the design parameter of the seismic isolation barrier and the bandgap of the attenuation domain thereof, and can decode the design parameter into the seismic isolation bandgap frequency, which can be specifically represented as an equation model mapping or a machine learning model mapping. The map consists of a classifier or perceptron of a statistical empirical formula or machine learning model of a large amount of data.
In a preferred embodiment, the opposite type deep learning reverse design method includes an opposite type deep learning model, wherein an input layer is a target design band gap, an intermediate layer is an output model parameter, a discriminator is a parameter decoder, under the supervision of a higher-precision parameter decoder, the opposite type deep learning reverse design method can generate the shock insulation barrier design parameter of the target band gap more precisely, and under the supervision of a higher-precision parameter decoder, the opposite type deep learning reverse design method can generate the shock insulation barrier design parameter of the target band gap more precisely.
The invention has the technical effects and advantages that:
1. compared with the prior art, the seismic isolation structure and the design method have the advantages 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, so that the negative poisson ratio local resonance type resonator is invented, and the negative poisson ratio local resonance type resonator is periodically arranged to form a seismic metamaterial seismic isolation barrier, the seismic isolation barrier can obtain a low-frequency band gap, and isolation of low-frequency seismic waves is realized;
2. the method is characterized in that a countermeasure type deep learning model is built based on the corresponding database, a decoder is used as a supervision module, the ultra-low frequency target shock insulation requirement of an actual project is combined, the upper limit and the lower limit of a target attenuation domain band gap are input into the deep learning model, an output design parameter is decoded through the decoder, an error of the comparison target design parameter is used as a training error to be used for supervising and training the deep learning model, when the error is converged to 0, the design parameter value of a specified frequency band gap is obtained when the model is converged, and compared with the prior art, the method of deep learning is applied to the reverse design of a periodic metamaterial ultra-low frequency band gap shock insulation barrier, and the countermeasure type deep learning model built based on a high-precision pre-training parameter decoder can realize the precise design of the shock insulation frequency band gap of the actual target project aiming at the shock insulation based on the target shock insulation band gap, so that the efficiency of the actual engineering design is improved.
Drawings
FIG. 1 is a schematic view of an arrangement of a seismic isolation structure of the present invention;
FIG. 2 is a schematic view of a shock insulation structure according to the present invention;
FIG. 3 is a schematic diagram of a training process of a deep learning model of a reverse design method of a seismic isolation structure according to the present invention.
FIG. 4 is a schematic view of a concrete cap bulk sample in a seismic isolation structure of the invention;
FIG. 5 is a schematic view showing the separation of a concrete tank and a concrete cap in the seismic isolation structure of the invention;
fig. 6 is a schematic diagram of a dispersion chart of a seismic isolation structure obtained by a deep learning model in embodiment 1 of the present invention.
The reference numerals are: 1. a concrete box; 2. a concrete cap; 3. a low stiffness rubber bearing; 4. a steel cylinder; 5. and a metamaterial enveloping layer.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
1-6, the isolation vibration structure in the embodiment is a novel earthquake metamaterial energy dissipation device, in particular a negative Poisson ratio local resonance resonator, and 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.
The thickness of the concrete box 1 is 0.1m, and the size of the concrete cap 2 is long: width: high = 1.7m:1.7m:0.3m, the cross-sectional radii of the low stiffness rubber bearing 3 and the steel cylinder 4 are both r = 0.5m, wherein the low stiffness rubber bearing 3 has a thickness T c 0.1m and the steel cylinder 4 is 1.7m high, the negative poisson's ratio material thickness T in the metamaterial envelope 5 wrapped on the steel cylinder 4 n Is 0.1m, negative in this examplePoisson's ratio material is shown in fig. 5.
Taking 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 distances a and b of novel seismic metamaterial energy dissipaters in the shock insulation barrier as design parameters.
Based on the reverse design method, firstly, the value ranges which can be selected by all design parameters are crossed to establish a proper number of numerical analysis models, and a database corresponding to the values of different parameters and the attenuation band gap of the shock isolation barrier is obtained.
Based on the corresponding database construction, a decoder is constructed according to a certain mapping relation, and the example trains the decoder by using a neural network. And (3) inputting data based on the database and training the neural network to obtain the decoder, wherein the decoder receives the input of the design parameters and returns the output of the shock insulation band gap.
And establishing an opposite type deep learning model based on the corresponding database, taking a decoder as a supervision module, combining the ultra-low frequency target shock insulation requirement of the actual engineering, inputting the upper limit and the lower limit of the band gap of the target attenuation domain into the deep learning model, outputting design parameters for supervising and training the deep learning model, and obtaining the design parameter value of the band gap of the designated frequency when the model is converged. The deep learning model structure is shown with reference to fig. 3.
Based on the countermeasure type deep learning model, inputting a target ultralow frequency range of 3-6Hz of a certain actual project, and obtaining design parameters as follows: negative poisson ratio material poisson ratio v is-0.7 and elastic modulus E is 2.5X10 4 pa, mass density ρ of 120kg/m 3 And adjusting design parameters by controlling the material proportion of the negative poisson ratio. Total weight M of concrete box b For 11kN, the spacing between single-layer seismic isolation units is a=0.7m, and the spacing between different-layer seismic isolation units is b=0.5m.
And (3) carrying out numerical simulation on the obtained design parameters, wherein the result is shown in fig. 6, and fig. 6 is a novel seismic metamaterial energy dissipation curve obtained by carrying out numerical simulation on the seismic isolation barrier constructed by the novel seismic metamaterial energy dissipation device and carrying out calculation on the basis of material parameters obtained by the antagonistic deep learning network model and periodic array parameter setting parameterization scanning.
Referring to fig. 6, the gray area is a shock isolation band gap acted by the novel seismic metamaterial energy consumer, the band gap ranges from 1.6 Hz to 7.8Hz, a dash-dot line in the figure represents the shear wave velocity, a solid line represents the wave velocity of the rayleigh wave, the left part of the solid line represents the range of the surface wave harmful to the building, and the right part represents the part of the bulk wave, which is usually the frequency of the seismic wave, is between 0.1 Hz and 20Hz, so the structure can effectively attenuate the ultralow frequency seismic wave, the novel seismic metamaterial energy consumer is periodically arranged according to design parameters, and the novel seismic metamaterial shock isolation barrier is further formed according to fig. 1, and is proved to be very effective for attenuating the low frequency seismic wave.
Example 2
The embodiment provides another vibration isolation structure, which is a novel earthquake metamaterial energy dissipation device, in particular a negative poisson ratio local resonance resonator, and 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;
the hollow concrete box 1 is used for placing all components in the novel earthquake metamaterial energy dissipation device; the concrete cap 2 is used for sealing the top and bottom of the concrete box 1 and transmitting external vibration to the steel cylinder 4; the steel cylinder 4 is used for supporting two concrete caps 2; the low-rigidity rubber bearing 3 is used for connecting the concrete cap 2 and the steel cylinder 4, transmitting vibration action and absorbing a part of earthquake energy; the metamaterial envelope layer 5 adopts a negative poisson ratio material for absorbing and damping vibration wave energy. The invention can improve the vibration isolation capability of the ultralow-frequency seismic waves, and realize the reverse design of the vibration isolation barrier according to the actual band gap requirement based on a reverse design method.
The working principle of the invention is as follows: when the seismic waves propagate into the shock isolation barrier, the band gap of the attenuation domain is 1.6-7.8Hz, most of ultra-low frequency seismic waves are included, and the surface waves are absorbed by the shock isolation barrier or converted into downward propagation bulk 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 obtained by numerical simulation and an output band gap, 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 summary, the novel seismic metamaterial shock insulation barrier and the reverse design method thereof provided by the invention can generate ultra-wide low-frequency band gap when an earthquake occurs, effectively inhibit low-frequency resonance phenomenon, and further achieve the purpose of attenuating low-frequency earthquake waves. Meanwhile, the parameter design capability of rapidly completing the shock insulation barrier aiming at different working conditions is realized.
The last points to be described are: first, in the description of the present application, it should be noted that, unless otherwise specified and defined, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be mechanical or electrical, or may be a direct connection between two elements, and "upper," "lower," "left," "right," etc. are merely used to indicate relative positional relationships, which may be changed when the absolute position of the object being described is changed;
secondly: in the drawings of the disclosed embodiments, only the structures related to the embodiments of the present disclosure are referred to, and other structures can refer to the common design, so that the same embodiment and different embodiments of the present disclosure can be combined with each other under the condition of no conflict;
finally: the foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (4)
1. A shock insulation structure, characterized in that: the concrete cap 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);
the concrete box (1) is of a four-side hollow square column structure, the top and the bottom of the concrete box (1) are reserved with rectangular grooves, the four-side hollow square column structure is formed by connecting four rectangular flat plates with the same shape according to long sides, and the rectangular flat plates are formed by pouring concrete;
the concrete cap (2) comprises two cube flat plates which are arranged up and down and have the same shape, the cube flat plates are formed by pouring concrete, the size of the cube flat plate positioned above is the same as the size of the reserved back-shaped groove at the top of the concrete box (1), the size of the cube flat plate positioned below is the same as the size of the reserved back-shaped groove at the bottom of the concrete box (1), and the concrete box (1) and the concrete cap (2) form a whole;
the low-rigidity rubber bearing (3) is a low-rigidity elastic rubber block in the form of two cylinders, the low-rigidity rubber bearing (3) is positioned between the steel cylinder and the concrete cap, and the concrete cap (2) and the steel cylinder (4) are connected through the low-rigidity rubber bearing (3);
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 bearings (3) at the upper end and the lower end;
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 negative poisson ratio materials.
2. A shock insulation structure according to claim 1, wherein: the method also comprises a counter deep neural network reverse design method, which comprises a parameter decoder and a counter deep learning reverse design method.
3. The method for reverse engineering an antagonistic deep neural network according to claim 2, further comprising: the parameter decoder is a linear or nonlinear mapping of the design parameters of the shock isolation barrier and the band gap of the attenuation domain thereof.
4. A method of inverse design of an antagonistic deep neural network according to claim 3, characterized in that: the opposite type deep learning reverse design method comprises an opposite type deep learning model, wherein an input layer is a target design band gap upper and lower limit, an intermediate layer is a vibration isolation barrier design parameter, and a discriminator is a parameter decoder.
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| CN115787926A (en) * | 2022-10-26 | 2023-03-14 | 广州大学 | Metamaterial steel tube concrete column with vibration and vibration double-control characteristics |
| 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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| CN110273438A (en) * | 2019-06-28 | 2019-09-24 | 华东交通大学 | A kind of step type vibration isolation ditch barrier and preparation method thereof |
| CN113833794B (en) * | 2021-09-24 | 2023-03-10 | 昆明理工大学 | Vibration isolation base with positive and negative Poisson's ratio honeycomb type structure |
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