132 results about "Modal testing" patented technology

The present invention relates to the technical field of machine tool structure optimized design. Disclosed is a method for the optimized design of a headstock structure of a vertical machining center. The method mainly comprises: parameterizing to establish a headstock three-dimensional model; establishing a finite element model of a headstock structure; according to limit working conditions in an actual machining process, performing static and dynamic characteristic analysis on the headstock structure; performing modal test testing on a headstock, carrying out comparative analysis with a simulation result, and correcting a finite element model of the headstock; using a sensitivity analysis method to select a key dimension of the headstock as an optimized design input parameter, while stress strain, low-order inherent frequency, and quality are target output parameters, and establishing a mathematical model for the optimized design of the headstock; and on the basis of a response surface model constructed by a second-order polynomial and a genetic algorithm, performing optimized design of the headstock until an optimal headstock structure which has higher performance and is lighter is obtained. According to the present invention, design efficiency is improved, prototype testing costs are reduced, and a better headstock structure is obtained.

The invention discloses a large-span bridge vibration response prediction method based on data driving, and relates to the technical field of bridge vibration response prediction, and the method comprises the following steps: arranging a plurality of sensors at a plurality of key structure parts of a bridge, collecting vibration response data of the bridge during operation in real time based on an initial sampling frequency set based on the inherent frequency of the bridge structure; performing frequency domain analysis on the collected vibration response data, extracting a main excitation frequency component under the current working condition, and constructing a current excitation frequency spectrum; the method comprises the following steps: calling structural modal parameters obtained in a design stage, a static load test or a modal test of a bridge, extracting the natural vibration frequency of each order of structure, and constructing a bridge inherent frequency feature library; according to the method, the resonance state is dynamically identified through frequency domain analysis and the fuzzy risk index, the sampling frequency is intelligently adjusted, high-frequency response accurate capture and resource efficiency optimization are realized, and the sensitivity, the real-time performance and the safety of a bridge health monitoring system are remarkably improved.

The invention provides a testing method and device, testing equipment, network equipment, a medium and a program product, and is applied to the technical field of testing. The method comprises the following steps: obtaining test requirement information of a to-be-tested scheme, and obtaining test process information obtained by executing the to-be-tested scheme by test execution equipment; analyzing the test process information according to the test requirement information by adopting a multi-modal large model to obtain a test intermediate execution instruction; and sending the test intermediate execution instruction to the test execution equipment for further test execution of the to-be-tested scheme. By adopting the method, the test process analysis in the multi-modal test process is realized by utilizing the analysis and reasoning capability of the multi-modal large model on the multi-modal information, and the test intermediate execution instruction for guiding the test execution is generated according to the test requirement information and is used for executing the subsequent test steps, so that the multi-modal test efficiency is improved under the multi-modal test scene. Automation of the interaction process is tested.

The invention discloses a bridge fundamental frequency and deflection influence line synchronous identification method under vehicle-induced excitation, and relates to the technical field of bridge safety monitoring, and the method comprises the following steps: 1, deducing a fundamental frequency analysis formula through a formula, and setting the fundamental frequency analysis formula as an E-VMD method modal analysis cut-off frequency; 2, stripping a dynamic response component in the deflection response, and identifying a bridge operation frequency through FFT (Fast Fourier Transform); 3, taking the operation frequency as a threshold value, and stripping the dynamic response again; and 4, stripping the axle effect to obtain a static deflection influence line. According to the method, the bridge fundamental frequency obtained through indirect identification based on the dynamic response in the vehicle bridge crossing process has high precision, the relative error between the bridge fundamental frequency and the actually-measured bridge modal fundamental frequency is low, tedious steps of traditional modal testing are avoided, and the analysis efficiency is improved.

The invention relates to a railway vehicle system structure modal test measuring point optimization method and a medium, and the method comprises the following steps: constructing a modal matrix of a railway vehicle system structure, extracting candidate measuring points of modal test, and forming a candidate measuring point set, the sensor comprises a three-way sensor and a one-way sensor; if a three-way sensor is selected to perform modal testing, calculating measurement values of candidate measurement points in the candidate measurement point set by adopting a multi-dimensional effective independent method based on the modal matrix, and determining final measurement points of the modal testing according to the measurement values; and if the unidirectional sensor is selected for modal testing, constructing an auxiliary matrix based on the modal matrix and the candidate test point set, and determining a final test point of the modal testing according to the auxiliary matrix. Compared with the prior art, the method has the advantages of optimizing measurement point distribution, improving the accuracy of a modal identification result and the like.

The embodiment of the invention provides a structure optimization method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining the test vibration response data of a CT rack under a static modal test, obtaining the test work vibration response data of the CT rack under a dynamic work modal test, and obtaining a simulation model of the CT rack based on a simulation digital model of the CT rack; simulation vibration response data of the CT rack under the simulation static mode test are obtained, and simulation working vibration response data of the CT rack under the simulation dynamic working mode test are obtained based on the simulation digital model of the CT rack; the resonance danger frequency of the CT rack is determined based on the motor rotating speed of the CT rack, the test vibration response data, the simulation vibration response data, the test work vibration response data and the simulation work vibration response data, and the structure optimization strategy of the CT rack is determined based on the resonance danger frequency. The resonance danger frequency of the CT rack can be accurately positioned, so that the structure is improved based on the resonance danger frequency, and the stability and reliability of the CT rack are improved.

The invention relates to a modal testing method and a testing system based on self-excitation of a numerical control machine tool, which belongs to the technical field of modal testing and solves the problems in the prior art that the modal testing is not comprehensive enough and the process is too complicated. The method comprises: step S0, constructing a modal testing system; step S1, pasting an acceleration sensor according to the type of a measurement object on the numerical control machine tool; step S2, setting a frequency sweep parameter in the modal testing system, starting the frequency sweep, and synchronously collecting a command speed signal of the frequency sweep and response acceleration data by the numerical control system; step S3, the modal testing system obtaining the command speed signal and response acceleration data of this frequency sweep, integrating the collected response acceleration data, and obtaining speed response data; and step S4, the modal testing system calculating the mutual power density spectrum and the self-power density spectrum according to the speed response data and the command speed signal, and drawing a Bode diagram of the measurement object to obtain the modal parameters of the measurement object.

The invention provides a bearing outer ring fault diagnosis test parameter setting optimization method, which comprises the following steps of: firstly, accurately acquiring structural parameters of a bearing by utilizing a measuring tool; secondly, testing and calculating the inherent frequency and the damping ratio of the bearing in the installed state through a modal experiment; selecting test working condition parameters according to the actual operation environment of the bearing, and calculating the fault characteristic frequency of the bearing; bearing fault simulation signal band-pass filtering processing is constructed; meanwhile, constructing a fault signal equivalent model; carrying out resonance demodulation analysis on the equivalent model, extracting an envelope spectrum and evaluating a fault diagnosis effect; and finally, circularly adjusting working condition parameters, iteratively optimizing the test working conditions, and selecting the working condition with the maximum fault characteristic frequency amplitude and the minimum noise interference as the optimal test condition. According to the invention, the accuracy and reliability of bearing outer ring fault detection are effectively improved, and powerful support is provided for fault diagnosis of mechanical equipment.

The invention discloses a vehicle part inertial parameter detection method based on modal parameters, and relates to the technical field of modalities, and the method comprises the steps: obtaining part modal test data; modal analysis is carried out according to data of the modal test of the part, and a six-order rigid body modal is extracted; based on the six-order rigid body mode, reconstructing a frequency response function HOI of the part; acquiring a rigid body origin acceleration conversion matrix To based on setting of a rigid body by a part; based on the setting that the part is a rigid body, obtaining a conversion matrix TI of the measurement point excitation FI of the part; converting the frequency response function HOI of the part into a frequency response function based on an original point of a coordinate system; constructing a part inertial parameter based on the origin frequency response function of the coordinate system, and obtaining coefficient matrixes Ta and Tb; aiming at the pre-selected frequency band, obtaining inertia parameters of the part; through the scheme, free boundary conditions are simulated, modal test accuracy is ensured, rigid body motion test parameters are screened out, rigid body measurement accuracy is improved, excitation system design is simplified, and inertial parameter identification precision is improved.

The invention provides a tire assembly modal test method, and belongs to the technical field of tire acoustics. According to the tire assembly modal test method, the modal parameters of the tire can be analyzed by measuring the modal shape of each order of the tire, and data support is provided for acoustic development of the tire. The test is suitable for passenger car tires and minibus tires (LT / RV). And the frequency response function represents the relation between steady-state output and input of the test system under the given frequency. The relation specifically refers to a function relation between the ratio of the output amplitude to the input amplitude and the input frequency and a function relation between the output phase difference and the input phase difference and the input frequency. Therefore, the test method is simplified, the test process is standardized, the test efficiency is improved, and various data of the tire can be quickly subjected to experimental acquisition, so that whether the tire is qualified or not can be known, and the product improvement direction can be well determined in the subsequent tire production.

According to the test case level-to-level management system provided by the invention, a dynamic perception-intelligent decision-accurate execution closed-loop system is constructed through cooperative operation of the intelligent arrangement center module, the multi-modal test fusion module and the heterogeneous execution environment adaptation module. Real-time dynamic allocation of test resources is realized based on a bidirectional sensing mechanism, and the resource utilization rate is improved; a data feedback channel of five-dimensional linkage of interface testing, function testing, UI testing, performance testing and safety testing is established through a multi-modal testing fusion module, and cross-modal conversion and multiplexing are carried out on key testing elements such as boundary value cases and safety injection points, so that the coverage rate of a testing scene is increased, and the defect escape rate is reduced; the heterogeneous execution environment adaptation module realizes automatic identification and accurate matching of a virtual machine, a container and a physical machine environment based on a feature fingerprint database, manual configuration errors are eliminated, environment adaptation time consumption is reduced, the test period is greatly shortened, and the defect positioning efficiency is greatly improved.

The invention relates to a modal test method and test system based on self-excitation of a numerical control machine tool, belongs to the technical field of modal test, and solves the problems that the modal test is not comprehensive and the process is too complicated in the prior art, and the method comprises the steps: S0, constructing a modal test system; the method comprises the following steps: S1, pasting an acceleration sensor according to the type of a measurement object on a numerical control machine tool; s2, frequency sweeping parameters are set in the modal test system, frequency sweeping is started, and a numerical control system synchronously collects frequency sweeping instruction speed signals and response acceleration data; s3, the modal test system obtains an instruction speed signal and response acceleration data of current frequency sweeping, and performs integration processing on the collected response acceleration data to obtain speed response data; and S4, the modal test system calculates a cross-power density spectrum and an auto-power density spectrum of the modal test system according to the speed response data and the instruction speed signal, draws a Bode diagram of the measurement object, and obtains modal parameters of the measurement object.

The invention discloses a method for identifying a micro-vibration source of a reaction wheel, which comprises the following steps of: firstly, testing micro-vibration signals of the reaction wheel under a plurality of rotating speed working conditions, then carrying out noise reduction processing on the micro-vibration signals under each rotating speed working condition, converting the micro-vibration signals into frequency domain signals, and identifying the micro-vibration source of the reaction wheel on the basis of amplitude-frequency response under each rotating speed working condition. The method comprises the steps that firstly, a three-dimensional frequency spectrum waterfall plot with micro-vibration changing along with the rotating speed is formed, then, based on theoretical values and test values of modal frequency characteristics, a characteristic peak value is extracted, modal characteristics in the three-dimensional frequency spectrum waterfall plot are recognized and verified, and finally, a vibration source is positioned based on the characteristic peak value, the modal characteristics and rotor-bearing vibration frequency characteristics. According to the recognition method, theoretical calculation and operation modal testing are fused, so that the modal frequency of the reaction wheel system can be more comprehensively obtained, damage of a force measurement method to the reaction wheel and modal distortion in simulation are avoided, the recognition error of a harmonic coefficient is reduced, the fitting precision of high-order harmonics is improved according to multi-order resonance response characteristics, and the recognition accuracy of the reaction wheel system is improved. Therefore, the contribution of the reaction wheel vibration source component and the structure thereof under transmission can be effectively evaluated.

The invention belongs to the related technical field of milling machining, and discloses a method and equipment for identifying weak joints of a whole-working-space body of a robot under milling excitation, and the method comprises the following steps: (1) carrying out dynamic characteristic sensitivity analysis on a target working space so as to select standard postures, and carrying out whole machine modal test on each determined standard posture; (2) calculating a modal-weak joint weight coefficient of each standard attitude based on a whole machine modal test result and an MFMS method; meanwhile, the modal contribution degree of each standard attitude under milling excitation is calculated; (3) reconstructing the configuration of the target attitude, calculating a configuration similarity index between the target attitude and the standard attitude, and further calculating to obtain an M-WJWC matrix and MCI of the target attitude; and (4) recognizing the robot-weak joint weight coefficient of the target posture, and further realizing online recognition of the weak joint of the robot body under milling excitation. According to the method, the R-WLWC prediction of any attitude in the target working space can be realized.

The invention provides an automatic calibration method and system for an inertial measurement unit, and electronic equipment, and relates to the technical field of sensors, the method comprises the following steps: building an IMU multi-modal calibration environment, and deploying multiple groups of reference sensors; designing a working environment test parameter table, performing simulation test on the to-be-calibrated IMU, and synchronously recording IMU multi-modal test data and multi-modal reference data; establishing an error parameter model; and constructing a calibration multi-objective function, performing minimization solution on the error parameter model, and performing closed-loop optimization correction on the to-be-calibrated IMU. According to the method and the device, the technical problems that in the prior art, as IMU error calibration is usually carried out in an ideal environment state, complex coupling errors caused by a multi-factor coupling effect are neglected, the compensation precision of calibration parameters under complex actual working conditions is seriously reduced, and IMU output drift is remarkably increased are solved; and the output precision of the IMU in a full working condition environment and the robustness of calibration parameters are improved.

The invention provides an acoustic modal test method and device, electronic equipment and a storage medium, and the method comprises the steps: controlling at least one sound source device to output a preset audio signal at the same time; acquiring response signals detected by the plurality of sensors; the plurality of sensors are used for respectively executing sound detection at a plurality of detection positions in a compartment area; establishing a geometric model based on the audio signal, the detection position and a response signal detected by the sensor; and analyzing the geometric model to obtain an acoustic modal test result. According to the embodiment of the invention, the acoustic modal test result measured by the method is beneficial to improving the riding experience of passengers.

The high-efficiency low-deformation machining method suitable for the aviation blade disc comprises the following steps that S1, a cutting force model is constructed based on a ball-head spiral conical milling cutter, a cutting test is carried out, and therefore a cutting force coefficient is determined; s2, performing numerical control simulation on the milling cutter by adopting special software, determining a machining path according to a principle of maximum rigidity of a cutting system, extracting a cutting area and a cutting edge length through the special software on the basis of the machining path so as to calculate real-time cutting force in the machining path, and then constructing a finite element model of the blade disc, carrying out transient mechanical analysis in the blade curved surface coordinate system, adjusting cutting parameters and the inclination angle of a workbench when cutting deformation exceeds a set range, and determining a parameter interval I of the feeding amount and the cutting depth; and S3, modal testing is carried out to obtain modal parameters, then calculation software is adopted to sequentially calculate parameter intervals of different machining parameters and the rotating speed of the main shaft, and effective machining parameters are obtained.

The utility model relates to a modal test hammering point positioning device which comprises a force hammer, the force hammer comprises a hammering head and a laser positioning instrument, the hammering head is used for hammering a to-be-tested point, the laser positioning instrument is used for emitting laser rays to irradiate the to-be-tested point, the laser positioning instrument is movably connected to the hammering head, and the hammering head is used for hammering the to-be-tested point. Therefore, the direction of the laser ray emitted by the laser locator can be adjusted. According to the modal test hammering point positioning device provided by the invention, the hammering position precision can be improved, and the test efficiency can be improved.

The invention belongs to the technical field of robots, and discloses a milling force simulation and feed rate optimization method considering a robot pose dependence dynamics effect, and the method comprises the steps: firstly carrying out modal testing under different poses of a robot milling area; then, a kinetic model is established in a robot cutting area; and meanwhile, the surface of the workpiece is dynamically updated based on the dynamic sweeping track of the blade and the workpiece model, so that the calculation precision of the instantaneous cutting thickness and the cutting force is guaranteed. And finally, based on the simulated accurate cutting force, feed rate segmented self-adaptive planning under the cutting force peak value constraint is carried out, and robot curved surface part milling and machining error measurement experiments are carried out. The milling efficiency and precision of the curved surface part robot are effectively improved, and the cutting force in the machining process is more stable. And the method is of great significance to improvement of the stability and the machining performance in the robot machining process.

The invention discloses an adjustment and calibration method for squeal of an electric drive axle of a new energy automobile. The adjustment and calibration method comprises the following steps: S1, calculating and testing squeal orders and problem points of the electric drive axle; s2, real vehicle modal testing of an electric drive axle assembly, a suspension system of the electric drive axle assembly and a cab; s3, analyzing a mode; s4, controlling the vibration isolation rate of each vehicle body suspension system; s5, reducing gear meshing excitation adjustment; s6, establishing a gear transmission error CAE simulation model of each gear pair of the speed reducer; s7, performing CAE simulation and recommending speed reducer gear initial version modification parameters; s8, the gear is subjected to shape correction machining, and a sample piece is manufactured; s9, real vehicle subjective driving evaluation and objective data test verification; s10, determining a design parameter tolerance; s11, correcting a contact spot tolerance; s12, the design is frozen, a technical file is output, and electric drive axle howling adjustment is completed; detailed adjustment is carried out from an excitation source generated by electrically-driven howling to a transmission path and then to response, CAE simulation analysis and actual production and manufacturing are deeply fused, and the system is reliable.

The invention relates to the technical field of modal tests, and discloses a modal test method and system based on environment control, and the system comprises an environment simulation module which is configured to set environment scene parameters according to experiment requirements; the test platform module is configured to limit and fix the tested structural member; the excitation module is configured to switch excitation modes according to the environment scene parameters and the structural characteristics of the tested structural component and excite the tested structural component; the data acquisition module is configured to acquire test data of the tested structural member; the data processing module is configured to pre-process the test data and perform modal analysis based on the pre-processed test data; and the evaluation module is configured to visually display the modal analysis result and perform structure evaluation based on the modal analysis result. According to the invention, the modal test automation and intelligence of the tested structural member in various environment scenes are realized.

This application proposes a small-scale universal modal testing device for rockets, comprising a suspension mechanism for suspending the rocket body and a testing mechanism with an impact end, wherein the impact end can impact the rocket body around a first axis. It also includes a drive mechanism for driving the impact end to impact the rocket body, and a testing platform for mounting the suspension mechanism and the testing mechanism. In use, the impact end is rotated around the rocket body with the first axis as the center and stopped at a suitable position. At this point, the drive mechanism drives the impact end to impact the rocket body. Compared to existing technologies that only include four impact points (left, right, top, and bottom), the impact end that can surround the rocket body has more impact positions, allowing for more flexible adjustment and facilitating the simulation of multi-position impact tests.

The invention provides a modal test method and device, a readable storage medium and a modal test component. The modal testing method is applied to a modal testing assembly, the modal testing assembly comprises a laser target and a laser tracking device, the laser target is arranged on a to-be-tested object, the laser tracking device and the laser target are correspondingly arranged, and the modal testing method comprises the steps that under the condition that the to-be-tested object is subjected to impact excitation, a force signal of impact excitation is obtained; performing laser tracking on the laser target through a laser tracking device, and determining a first displacement signal of the laser target; and determining a modal test result of the to-be-tested object according to the force signal and the first displacement signal. According to the embodiment of the invention, the detection efficiency and accuracy of modal testing are improved.

The process adaptability pilot test verification evaluation method and system for the aviation structural part machining machine tool comprises the steps that the comprehensive geometric error, the motion linkage error and the machining process dynamic error of the machine tool are obtained, and a comprehensive precision evaluation model of the machine tool is established; based on a comprehensive precision evaluation model, processing efficiency adaptability evaluation is carried out on the machine tool; establishing a thermal characteristic model of the machine tool through heat source analysis, temperature field monitoring and thermally induced error modeling; establishing a resonance characteristic model of the machine tool through modal test of the whole machine and key parts and resonance characteristic evolution analysis in a processing space; and performing comprehensive process adaptability evaluation on the machine tool by combining the comprehensive precision evaluation model, the thermal characteristic model of the machine tool and the resonance characteristic model of the machine tool, and performing process adaptability pilot test verification on the machine tool based on an evaluation result.

This invention discloses a combustion chamber nozzle modal testing fixture device. The device includes a test platform (3), a first clamping unit (1), and a second clamping unit (2). The first clamping unit (1) and the second clamping unit (2) are disposed on the test platform (3). The device is characterized in that the first clamping unit (1) is provided with a cavity for accommodating the end (18) of the workpiece to be tested and a fuel supply assembly. This clamping device can stably support the workpiece to be tested, and the cavity can accommodate the protrusion of the product. Simultaneously, the clamping method is the same as the actual assembly method of the workpiece to be tested, thereby obtaining parameters of the finite element model that better match the test results, thus improving the accuracy of the finite element method calculation, thereby saving test costs and improving R&D efficiency.

The invention discloses a high-precision modal test method and related equipment, and belongs to the technical field of structural dynamics tests.The method comprises the steps that spring design parameters are obtained, and spring design variables are initialized and generated; calculating stress field characteristic parameters based on the spring design parameters and the spring design variables; evaluating stress field characteristic parameters based on preset stress field constraint conditions; under the condition that the stress field characteristic parameters meet the stress field constraint conditions, spring design variables are output to serve as spring design results; and preparing a spring based on a spring design result, and completing a modal test. According to the method, the stress field quantification constraint condition is introduced in the modal test instrument spring design stage, the characteristic parameters of the modal test instrument spring are evaluated, the modal test instrument spring design precision and reliability can be effectively improved, the spring design iteration period is remarkably shortened, the modal test precision and stability are improved, and the modal test efficiency is improved. And the design requirement of the high-reliability spring is effectively met.

The invention belongs to the field of spacecraft modal testing, and particularly relates to a modal testing method based on dynamic modal decomposition in an unfolded state of a large flexible solar wing, which comprises the following steps of: S1, exciting the solar wing by adopting a pre-tightening force release method, and synchronously acquiring displacement attenuation data of different positions of the solar wing through a plurality of laser displacement sensors in a testing device; s2, performing fast Fourier transform calculation on each group of displacement attenuation data, and processing all fast Fourier transform calculation results to generate an average frequency response curve; s3, processing the displacement data by adopting a Monte Carlo delay embedding dynamic mode decomposition algorithm to obtain Q groups of fundamental frequencies, damping ratios and vibration mode results; and S4, arithmetic average is carried out on Q groups of results, and a final fundamental frequency, a modal damping ratio and a vibration mode are output. According to the method, the modal parameters are identified by adopting the Monte Carlo dynamic modal decomposition method, the fundamental frequency, the modal damping ratio and the vibration mode of the unfolded state of the large flexible solar wing can be identified, and meanwhile, the reliability of an identification result is ensured.

The invention discloses an electric drive assembly NVH simulation damping parameter prediction method and system, and belongs to the field of automobile electric drive assembly NVH simulation calculation. The method comprises the following steps: carrying out modal test on a sub-part of the electric drive assembly to obtain a modal damping value of the sub-part; finite element modal simulation calculation is conducted on the sub-parts, and the modal effective mass ratio of the sub-parts is obtained to serve as the weight; and utilizing a weighted harmonic average algorithm to predict damping parameters of the electric drive assembly according to the modal damping values and the corresponding weights of the sub-parts. According to the method, the damping parameters of the new material electric drive assembly can be accurately predicted in the early stage of design, the simulation precision is improved, the development period is shortened, the test cost is saved, the influence of material change and structure change on the NVH performance can be evaluated, and an effective tool is provided for NVH optimization of the electric drive assembly.

A support apparatus for a modal test and a using method thereof. The support apparatus includes: a suspension structure (1) configured to suspend a test unit (2); and a support structure disposed under the suspension structure (1) and configured to support the test unit (2). The suspension structure (1) and the support structure are matched to cause a stiffness of the support apparatus for a modal test to be zero. The support structure includes an anti-stiffness rhombus-shaped frame (4), a scalable sleeve, a horizontal elastic component (49), and a base (6). The scalable sleeve is connected to the anti-stiffness rhombus-shaped frame (4) and the base (6) respectively, and the horizontal elastic component (49) connects two diagonal points of the anti-stiffness rhombus-shaped frame (4).

The utility model discloses a modal test tool and a modal test system, and the modal test tool comprises a piezoelectric ceramic plate which can be fixedly disposed on the inner wall surface of a test tube body, a pasting expansion rod disposed in the test tube body, a variable-diameter rod disposed in the pasting expansion rod, and a driving power supply which is electrically connected with the piezoelectric ceramic plate. A positioning groove for containing the piezoelectric ceramic plate is formed in the pasting expansion rod, and an expansion hole for containing the variable-diameter rod is formed in the center of the pasting expansion rod. According to the modal test tool, the problem that a conventional excitation system cannot be used in a non-waterproof and non-temperature-resistant environment is solved, the piezoelectric ceramic plate is simple and convenient to install through the arrangement of the sticking expansion rod and the variable-diameter rod, meanwhile, the high-temperature-resistant piezoelectric ceramic plate is connected with the driving power supply, self-excitation excitation of a tube bundle structure in a high-temperature environment can be achieved, and the service life of the tube bundle structure is prolonged. The problem that the test area of the test body cannot be directly excited is solved.