Floor comfort evaluation method and device, terminal equipment and storage medium
By acquiring measured response data and dynamic characteristic corrections of the floor slab, a crowd jumping load model was constructed, which solved the problem of inaccurate floor slab comfort assessment and achieved more accurate comfort assessment, applicable to large-span public buildings.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- HARBIN INSTITUTE OF TECHNOLOGY (SHENZHEN) (INSTITUTE OF SCIENCE AND TECHNOLOGY INNOVATION HARBIN INSTITUTE OF TECHNOLOGY SHENZHEN)
- Filing Date
- 2026-03-26
- Publication Date
- 2026-07-10
AI Technical Summary
Existing methods for evaluating floor comfort cannot accurately assess the vibration comfort caused by people jumping, resulting in inaccurate assessments.
By acquiring measured vertical acceleration response data of the target floor slab at multiple points under crowd jumping excitation, a finite element model is established and its dynamic characteristics are corrected. A crowd jumping load model is constructed, the Fourier coefficients are adjusted, and the maximum effective angular velocity is calculated to evaluate comfort.
It improves the accuracy of floor comfort evaluation, reduces the risk of engineering misjudgment, realizes dynamic comfort assessment, and is applicable to comfort assessment of large-span public buildings.
Smart Images
Figure CN122365992A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of floor comfort quality monitoring technology, and in particular to a method, device, terminal equipment and storage medium for evaluating floor comfort. Background Technology
[0002] In large-span public buildings (such as cultural and sports centers, performance venues, and gyms), rhythmic activities of people (especially collective jumping guided by music) can easily trigger vertical vibrations in the floor slab, causing discomfort and becoming a key issue affecting usability and safety. Current floor comfort evaluation systems mainly rely on the peak ground acceleration (PGA) limit method, which is theoretically based on a walking load model. This model is dominated by the individual's step frequency (1.6–2.4 Hz), with vibration energy concentrated in low-order modes. Furthermore, the human body's perception of vibrations at a single frequency is relatively linear, making the use of PGA as an evaluation index engineering reasonable. However, current jumping load modeling methods suffer from inaccurate load model parameterization, making accurate comfort assessment impossible. Summary of the Invention
[0003] In view of this, the embodiments of this application provide a method for evaluating the comfort of floor slabs, which can effectively solve the problem of insufficient accuracy in comfort assessment.
[0004] In a first aspect, embodiments of this application provide a method for evaluating floor comfort, including: Obtain measured response data of the target floor slab's vertical acceleration at multiple points under actual crowd jumping excitation; A finite element model of the target floor slab is established, and the dynamic characteristics of the finite element model are corrected based on the measured response data to obtain a corrected finite element model. A crowd jumping load model was constructed using Fourier series. Based on the modified finite element model, combined with the measured data of the equivalent single-person jump load applied by the nodal dynamic load method, the structural response prediction data is obtained. Based on the structural response prediction data, the Fourier coefficients of each order of the crowd jump load model are adjusted to obtain the modified load model. Based on the modified load model and the modified finite element model, the maximum effective angular velocity of the target floor slab is calculated, and the comfort level of the target floor slab is determined based on the maximum effective angular velocity.
[0005] In some embodiments, the measured response data includes: the first three vertical natural frequencies and their corresponding damping ratios; After obtaining the measured response data, the method further includes: By combining the covariance-driven random subspace identification method with density clustering and sliding filtering, the measured data are processed to obtain the first three vertical natural frequencies and the corresponding damping ratios.
[0006] In some embodiments, the step of correcting the dynamic characteristics of the finite element model based on the measured response data to obtain a corrected finite element model includes: Based on the first three vertical natural frequencies and their corresponding damping ratios, adjust the stiffness, boundary conditions, and structural component parameters of the finite element model. When the error between the first three vertical natural frequencies and corresponding damping ratios output by the corrected finite element model and the measured response data is less than a preset value, the corrected finite element model is obtained.
[0007] In some embodiments, acquiring measured response data of the target floor slab's multi-point vertical acceleration under actual crowd jumping excitation includes: Vertical acceleration sensors are installed at preset measurement points on the target floor slab. When an actual crowd jumping stimulus is applied to the target floor slab, feedback data from each of the vertical acceleration sensors is synchronously acquired through a GPS synchronization system to obtain measured response data.
[0008] In some embodiments, adjusting the Fourier coefficients of the crowd jump load model based on the structural response prediction data to obtain a modified load model includes: Calculate the crowd reduction factor for the target floor slab, apply nodal dynamic loads in the finite element model through the crowd jump load model, and calculate the structural response prediction data by combining the crowd reduction factor; Based on the simulation error between the predicted structural response data and the measured response data, the first three Fourier coefficients of each order of the crowd jumping load model are adjusted until the simulation error is at a preset threshold, thus obtaining the corrected load model.
[0009] In some embodiments, calculating the maximum effective angular velocity of the target floor slab based on the modified load model and the modified finite element model includes: Based on the actual application scenario of the target floor slab, determine the estimated number of people and the basic frequency of jump loads; Based on the estimated population size and the modified load model, the corresponding population jump load is calculated. The jumping load of the crowd is input into the modified finite element model to obtain the effective maximum acceleration of the target floor slab.
[0010] In some embodiments, calculating the population reduction factor for the target floor slab includes: Experimental data from crowd jumping excitation tests were collected on the target floor slab, and floor vibration response data under different crowd sizes and different load foundation frequencies were obtained to obtain crowd reduction coefficients under different working conditions.
[0011] Secondly, this application also provides a floor comfort evaluation device, comprising: The data acquisition module acquires measured response data of the target floor slab's multi-point vertical acceleration under actual crowd jumping excitation. The first correction module is used to establish a finite element model of the target floor slab and to correct the dynamic characteristics of the finite element model based on the measured response data to obtain a corrected finite element model. The load model construction module constructs a crowd jumping load model using Fourier series. The second correction module adjusts the Fourier coefficients of the crowd jumping load model based on the corrected finite element model and the measured data of the equivalent single-person jump load applied by the nodal dynamic load method, to obtain the corrected load model. The evaluation module calculates the maximum effective angular velocity of the target floor slab based on the modified load model and the modified finite element model, and determines the comfort level of the target floor slab based on the maximum effective angular velocity.
[0012] Thirdly, this application also provides a terminal device, which includes a processor and a memory, the memory storing a computer program, and the processor executing the computer program to implement the floor comfort evaluation method.
[0013] Fourthly, this application also provides a readable storage medium storing a computer program that, when executed on a processor, implements the aforementioned floor comfort evaluation method.
[0014] The embodiments of this application have the following beneficial effects: The floor comfort evaluation method in this embodiment modifies the constructed finite element model and the crowd jumping load model, uses the modified two models to calculate the maximum effective angular velocity of the target floor, and then evaluates the floor comfort based on this maximum effective angular velocity. Attached Figure Description To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.
[0015] Figure 1A flowchart illustrating the floor comfort evaluation method according to an embodiment of this application is shown; Figure 2 A schematic diagram of the finite element model structure of an embodiment of this application is shown; Figure 3 A schematic diagram of the first-order mode structure according to an embodiment of this application is shown; Figure 4 A schematic diagram of the second-order mode structure according to an embodiment of this application is shown; Figure 5 A schematic diagram of the third-order mode structure according to an embodiment of this application is shown; Figure 6 A schematic diagram of a floor comfort evaluation device according to an embodiment of this application is shown. Detailed Implementation
[0016] The technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments.
[0017] The components of the embodiments of this application described and illustrated in the accompanying drawings can be arranged and designed in a variety of different configurations. Therefore, the following detailed description of the embodiments of this application provided in the drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of the application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.
[0018] In the following text, the terms "comprising," "having," and their cognates, which may be used in various embodiments of this application, are intended only to indicate a particular feature, number, step, operation, element, component, or combination thereof, and should not be construed as primarily excluding the presence of one or more other features, numbers, steps, operations, elements, components, or combinations thereof, or adding the possibility of one or more combinations thereof. Furthermore, the terms "first," "second," "third," etc., are used only for distinguishing descriptions and should not be construed as indicating or implying relative importance.
[0019] Unless otherwise specified, all terms used herein (including technical and scientific terms) shall have the same meaning as commonly understood by one of ordinary skill in the art to which the various embodiments of this application pertain. Terms (such as those defined in commonly used dictionaries) shall be interpreted as having the same meaning as in their contextual meaning in the relevant technical field and shall not be construed as having an idealized or overly formal meaning, unless clearly defined in the various embodiments of this application.
[0020] The following detailed description of some embodiments of this application is provided in conjunction with the accompanying drawings. Unless otherwise specified, the following embodiments and features can be combined with each other.
[0021] To address the problems of current floor comfort evaluation methods, this application provides a floor comfort evaluation method. By obtaining measured response data of multi-point vertical acceleration of the target floor under actual crowd jumping excitation, the finite element model and Fourier series model of the crowd jumping load of the target floor are modified. After obtaining the modified model, the comfort evaluation of the target floor is carried out, making the floor comfort evaluation structure more accurate.
[0022] The following examples illustrate the method for evaluating the comfort of this floor slab.
[0023] Figure 1 A flowchart illustrating a floor comfort evaluation method according to an embodiment of this application is shown. Exemplarily, the floor comfort evaluation method includes the following steps: Step S100: Obtain the measured response data of the target floor slab's multi-point vertical acceleration under the actual excitation of a group of people jumping.
[0024] This embodiment is applied to the comfort evaluation of a target floor slab, where the target floor slab can be any building that needs to be evaluated, such as a stadium, housing, or office building.
[0025] Floor comfort refers to a key service performance indicator in building structural engineering. It is an objective and quantitative evaluation of the subjective feelings experienced by people moving on the floor slab, as well as the vertical vibrations caused by human loads (such as walking, jumping, dancing, etc.). It is a core performance indicator related to the normal use of a building, user experience, and psychological acceptance, and is particularly significant in modern public buildings with large spans, lightweight structures, and high flexibility.
[0026] First, actual response data is obtained by conducting a jumping stimulus test on the target floor slab with actual crowds. This can be achieved by setting vertical acceleration sensors at various preset test points on the target floor slab. When an actual crowd jumping stimulus is applied to the target floor slab, the feedback data from each of the set vertical acceleration sensors is synchronously acquired through a GPS synchronization system to obtain the actual response data.
[0027] It should be noted that the above-mentioned actual crowd jumping incentives can be either conducted by specially hired personnel to carry out fixed-pattern jumping incentive experiments, or they can be conducted in daily use scenarios, taking advantage of peak traffic times to collect jumping incentive data from the crowd at that time.
[0028] The system integrates a GPS synchronization system to ensure the time synchronization accuracy between various distributed acquisition terminals. This ensures that vibration signals from different locations can be accurately acquired and analyzed at the same time reference during large-scale structural health monitoring. It can also directly display the acceleration and frequency responses of the previous set of data during the acquisition process, facilitating adjustments to the acquisition.
[0029] Step S200: Establish a finite element model of the target floor slab, and perform dynamic characteristic correction on the finite element model based on the measured response data to obtain a corrected finite element model.
[0030] For the target floor slab, this embodiment will establish an overall structural model. For example, a finite element model can be established using finite element analysis software. Demonstratively, the structural diagram of this model can be as follows: Figure 2 As shown, this is used to represent the structural hierarchy of the target floor slab, and the subsequent floor comfort assessment will be based on the model established here.
[0031] It is understandable that in order to build this model, it is necessary to first collect and analyze on-site data of the target floor slab. The above model is also established to facilitate subsequent digital processing and to digitally model the real floor slab, thereby facilitating subsequent evaluation, analysis, and calculation. It should be noted that the initial finite element model of the structure may differ from the actual structure. Modal parameters identified by measured responses can be used to guide the correction of the finite element model, ensuring that the dynamic characteristics of the model are consistent with the actual structure.
[0032] During the correction, the dynamic characteristics of the finite element model need to be corrected based on the measured response data. Specifically, the dynamic characteristics of the finite element model are corrected based on the measured response data to obtain a corrected finite element model. The stiffness, boundary conditions, and structural component parameters of the finite element model are adjusted according to the first three vertical natural frequencies and their corresponding damping ratios.
[0033] When the error between the first three vertical natural frequencies and corresponding damping ratios output by the corrected finite element model and the measured response data is less than a preset value, the corrected finite element model is obtained.
[0034] As an example, some pre-simulations have shown that the higher-order vibration modes of this structure have relatively small participation factors under normal pedestrian or jumping loads. Therefore, the analysis focused on the first three modes, which are dominated by the vertical vibration of the two-story structure. The first three vertical natural frequencies of the second-story slab obtained from modal analysis are shown in Table 1.
[0035] Table 1. Simulated values of the first three vertical natural frequencies of the floor slab before correction.
[0036] The comparison revealed that the simulated and measured values of the third-order vertical natural frequency of the structure differed by more than 5%. Analysis showed that a mezzanine area was added to the second floor of the on-site structure, altering the boundary conditions of the floor slab. Therefore, a mezzanine area was added to the model, and the stiffness and boundary conditions were adjusted before re-modal analysis. The results are shown in Table 2. After adjustment, the simulated and measured natural frequencies differed by no more than 5%, indicating that the finite element model closely approximates the actual structure.
[0037] Table 2. Simulated values of the first three vertical natural frequencies of the floor slab after correction.
[0038] Among them, the first three vertical vibration modes of the floor slab are as follows: Figure 3 , Figure 4 , Figure 5 As shown. Figure 3 It is the first mode shape. Figure 4 It is the second mode shape. Figure 5 It is the third mode shape, that is, the mode shapes corresponding to 4.51Hz, 4.70Hz and 5.57Hz.
[0039] Step S300: Construct a crowd jumping load model using Fourier series.
[0040] The load from a group jumping can be represented by a Fourier series model. Due to differences between individuals and phase lag in their jumps, they are not perfectly synchronized; therefore, the load generated by a group jumping is less than the direct sum of the loads from a single person jumping. If we consider the group jumping load as equivalent to... The synchronous superposition of individual jump loads. The equivalent jump load per person can be expressed as follows:
[0041] In the formula, The load represents the jumping motion of the crowd, and t represents time. Human body weight (kN); The order of the selected Fourier series; This is the dynamic load factor; The frequency (Hz) of the jump load; Phase angle (radians); Let n be the number of people and n be the current order.
[0042] Step S400: Based on the modified finite element model and combined with the measured data of the equivalent single-person jump load applied by the nodal dynamic load method, structural response prediction data is obtained. Based on the structural response prediction data, the Fourier coefficients of each order of the crowd jump load model are adjusted to obtain the modified load model.
[0043] Among these adjustments, the crowd jumping load model also needs to be modified. For a group of people with a size of N, the load on a structure generated by the same jump is less than the sum of the loads from N individual jumps. This is due to the asynchrony of the jumps between individuals. (Group size reduction factor) It is a coefficient for a group of people who are rhythmically moving and coordinating their jumps. It is calculated by adding the loads of N individual jumps and multiplying the result by a reduction factor to account for the effects of asynchrony between individuals. As an example, when the total number of people is not less than 50, the values of the reduction factor are shown in Table 3.
[0044] Table 3. Population Reduction Factors for Coordinated Jumping
[0045] By introducing a population reduction factor The crowd jumping load can be expressed as:
[0046] In the formula Human body weight (kN); The order of the selected Fourier series; This is the dynamic load factor; The frequency (Hz) of the jump load; Phase angle (radians); For the number of people; This is the population reduction factor.
[0047] The equivalent Fourier coefficients are expressed as follows: .
[0048] In the formula, For dynamic load factor, This is the population reduction factor.
[0049] The reduction law of the first three dynamic load factors with the size of the population is shown in the following formula:
[0050]
[0051]
[0052] In the formula , and Indicates the number of people. The Fourier coefficients of the first three loads at that time.
[0053] Substituting the Fourier coefficients of the first three loads into the previous equation, we can obtain the expression for the third-order crowd jumping load, as shown below: ; ; ; The first three loads are input into the finite element model to solve for the time history response, and structural response prediction data is obtained. Based on the simulation error between the structural response prediction data and the measured response data, the first three Fourier coefficients of each order of the crowd jumping load model are adjusted until the simulation error is at a preset threshold, thus obtaining the corrected load model.
[0054] Thus, this embodiment completes the modeling and correction of the target floor slab, as well as the correction of the jump load model, resulting in two corrected models for subsequent evaluation operations of the aircraft.
[0055] Step S500: Calculate the maximum effective angular velocity of the target floor slab based on the modified load model and the modified finite element model, and determine the comfort level of the target floor slab based on the maximum effective angular velocity.
[0056] When evaluating a target floor slab, it is necessary to consider the actual application scenario of the target floor slab. For example, if the target floor slab is a concert venue, it is necessary to estimate the number of people in the venue and the basic frequency of the jump load. Then, based on the estimated number of people and the modified load model, the corresponding crowd jump load can be calculated. The crowd jump load is then input into the modified finite element model to obtain the effective maximum acceleration of the target floor slab.
[0057] For jump loads, the first three load components are typically taken, corresponding to the first three load frequencies. The human body's response to structural vibration acceleration can be taken as the maximum value of the interval acceleration.
[0058] In the formula, is the maximum acceleration in the interval, and T is the load period.
[0059] The acceleration response can be expressed as:
[0060] In the formula, For the first Peak acceleration of the structure under first-order load. The fundamental frequency of the jump load.
[0061] Therefore, we can conclude that:
[0062] Through fitting and trial calculations, the maximum acceleration in the interval can be expressed as:
[0063] It can also be called the effective maximum acceleration. This is in contrast to the peak acceleration obtained under the combined action of three loads. The effective acceleration value is relatively small. Using In fact, it takes into account the reduced ability of people in motion to perceive acceleration in different frequency ranges, so it is more suitable for comfort assessment based on jumping load.
[0064] As an example, Table 4 shows the calculated values of the effective maximum acceleration and related parameters for different numbers of people: Table 4
[0065] As shown in Table 4, after calculating the effective maximum acceleration for each number of people, the effective maximum acceleration is compared with the effective acceleration limit. The greater the effective maximum acceleration exceeds the limit, the lower the comfort level; conversely, the greater the effective maximum acceleration falls below the limit, the better the comfort level. This allows for an effective assessment of the comfort level of the target floor slab.
[0066] This embodiment proposes a jump load correction method. The jump load model can be represented in the form of a Fourier series. The load parameters include Fourier coefficients, load frequency, and phase angle, among which the Fourier coefficients and load frequency are key parameters affecting the peak value of the acceleration response. Based on the modal superposition method, the response solution theory under jump load is derived, and the relationship between the steady-state response and the load Fourier coefficients and load frequency is established. Combined with an accurate finite element model, the frequency and Fourier coefficients of the jump load are determined using measured responses, thereby achieving jump load correction. This significantly improves the accuracy of comfort assessment and greatly reduces the risk of engineering misjudgment. This invention truly reflects the human-structure negative feedback and the randomness of the jump, reducing prediction errors, avoiding operational interruptions caused by excessive warnings, realizing dynamic comfort limits, and breaking through the limitations of static specifications.
[0067] Figure 6 A schematic diagram of a floor comfort evaluation device according to an embodiment of this application is shown. Exemplarily, the floor comfort evaluation device includes: Data acquisition module 10 acquires measured response data of the target floor slab's multi-point vertical acceleration under actual crowd jumping excitation; The first correction module 20 is used to establish a finite element model of the target floor slab and to correct the dynamic characteristics of the finite element model based on the measured response data to obtain a corrected finite element model. Load model construction module 30 constructs a crowd jumping load model using Fourier series; The second correction module 40 adjusts the Fourier coefficients of the crowd jumping load model according to the corrected finite element model and the measured data of the equivalent single-person jump load applied by the nodal dynamic load method to obtain the corrected load model. The evaluation module 50 calculates the maximum effective angular velocity of the target floor slab based on the modified load model and the modified finite element model, and determines the comfort level of the target floor slab based on the maximum effective angular velocity.
[0068] It is understood that the device in this embodiment corresponds to the floor comfort evaluation method in the above embodiment, and the options in the above embodiment are also applicable to this embodiment, so they will not be described again here.
[0069] This application also provides a terminal device, exemplary of which includes a processor and a memory, wherein the memory stores a computer program, and the processor executes the computer program to enable the terminal device to perform the functions of the various modules in the above-described floor comfort evaluation method or the above-described floor comfort evaluation device.
[0070] The processor can be an integrated circuit chip with signal processing capabilities. The processor can be a general-purpose processor, including at least one of a Central Processing Unit (CPU), Graphics Processing Unit (GPU), Network Processor (NP), Digital Signal Processor (DSP), Application-Specific Integrated Circuit (ASIC), Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. The general-purpose processor can be a microprocessor or any conventional processor, capable of implementing or executing the methods, steps, and logic block diagrams disclosed in the embodiments of this application.
[0071] The memory can be, but is not limited to, Random Access Memory (RAM), Read Only Memory (ROM), Programmable Read-Only Memory (PROM), Erasable Programmable Read-Only Memory (EPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), etc. The memory is used to store computer programs, and the processor can execute the computer programs accordingly after receiving execution instructions.
[0072] This application also provides a readable storage medium for storing the computer program used in the aforementioned terminal device.
[0073] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can also be implemented in other ways. The apparatus embodiments described above are merely illustrative. For example, the flowcharts and block diagrams in the accompanying drawings show the architecture, functionality, and operation of possible implementations of apparatus, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that, in alternative implementations, the functions marked in the blocks may occur in a different order than those marked in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, and combinations of blocks in the block diagram and / or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.
[0074] In addition, the functional modules or units in the various embodiments of this application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.
[0075] If the aforementioned functions are implemented as software functional modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a smartphone, personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.
[0076] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application.
Claims
1. A method for evaluating floor comfort, characterized in that, include: Obtain measured response data of the target floor slab's vertical acceleration at multiple points under actual crowd jumping excitation; A finite element model of the target floor slab is established, and the dynamic characteristics of the finite element model are corrected based on the measured response data to obtain a corrected finite element model. A crowd jumping load model was constructed using Fourier series. Based on the modified finite element model, combined with the measured data of the equivalent single-person jump load applied by the nodal dynamic load method, the structural response prediction data is obtained. Based on the structural response prediction data, the Fourier coefficients of each order of the crowd jump load model are adjusted to obtain the modified load model. Based on the modified load model and the modified finite element model, the maximum effective angular velocity of the target floor slab is calculated, and the comfort level of the target floor slab is determined based on the maximum effective angular velocity.
2. The method for evaluating floor comfort according to claim 1, characterized in that, The measured response data includes: the first three vertical natural frequencies and their corresponding damping ratios; After obtaining the measured response data, the method further includes: By combining the covariance-driven random subspace identification method with density clustering and sliding filtering, the measured data are processed to obtain the first three vertical natural frequencies and the corresponding damping ratios.
3. The method for evaluating floor comfort according to claim 2, characterized in that, The step of correcting the dynamic characteristics of the finite element model based on the measured response data to obtain a corrected finite element model includes: Based on the first three vertical natural frequencies and their corresponding damping ratios, adjust the stiffness, boundary conditions, and structural component parameters of the finite element model. When the error between the first three vertical natural frequencies and corresponding damping ratios output by the corrected finite element model and the measured response data is less than a preset value, the corrected finite element model is obtained.
4. The method for evaluating floor comfort according to claim 1, characterized in that, The acquisition of measured response data of the target floor slab's multi-point vertical acceleration under actual crowd jumping excitation includes: Vertical acceleration sensors are installed at preset measurement points on the target floor slab. When an actual crowd jumping stimulus is applied to the target floor slab, feedback data from each of the vertical acceleration sensors is synchronously acquired through a GPS synchronization system to obtain measured response data.
5. The method for evaluating floor comfort according to claim 1, characterized in that, The step of adjusting the Fourier coefficients of the crowd jumping load model based on the structural response prediction data to obtain the modified load model includes: Calculate the crowd reduction factor for the target floor slab, apply nodal dynamic loads in the finite element model through the crowd jump load model, and calculate the structural response prediction data by combining the crowd reduction factor; Based on the simulation error between the predicted structural response data and the measured response data, the first three Fourier coefficients of each order of the crowd jumping load model are adjusted until the simulation error is at a preset threshold, thus obtaining the corrected load model.
6. The method for evaluating floor comfort according to claim 1, characterized in that, The step of calculating the maximum effective angular velocity of the target floor slab based on the modified load model and the modified finite element model includes: Based on the actual application scenario of the target floor slab, determine the estimated number of people and the basic frequency of jump loads; Based on the estimated population size and the modified load model, the corresponding population jump load is calculated. The jumping load of the crowd is input into the modified finite element model to obtain the effective maximum acceleration of the target floor slab.
7. The method for evaluating floor comfort according to claim 5, characterized in that, The calculation of the population reduction factor for the target floor slab includes: Experimental data from crowd jumping excitation tests were collected on the target floor slab, and floor vibration response data under different crowd sizes and different load foundation frequencies were obtained to obtain crowd reduction coefficients under different working conditions.
8. A floor comfort evaluation device, characterized in that, include: The data acquisition module acquires measured response data of the target floor slab's multi-point vertical acceleration under actual crowd jumping excitation. The first correction module is used to establish a finite element model of the target floor slab and to correct the dynamic characteristics of the finite element model based on the measured response data to obtain a corrected finite element model. The load model construction module constructs a crowd jumping load model using Fourier series. The second correction module adjusts the Fourier coefficients of the crowd jumping load model based on the corrected finite element model and the measured data of the equivalent single-person jump load applied by the nodal dynamic load method, to obtain the corrected load model. The evaluation module calculates the maximum effective angular velocity of the target floor slab based on the modified load model and the modified finite element model, and determines the comfort level of the target floor slab based on the maximum effective angular velocity.
9. A terminal device, characterized in that, The terminal device includes a processor and a memory, the memory storing a computer program, and the processor executing the computer program to implement the floor comfort evaluation method according to any one of claims 1-7.
10. A readable storage medium, characterized in that, It stores a computer program, which, when executed on a processor, implements the floor comfort evaluation method according to any one of claims 1-7.