CN-121978049-A - Intelligent detection method and system for anisotropy of bulletproof material

CN121978049ACN 121978049 ACN121978049 ACN 121978049ACN-121978049-A

Abstract

The invention discloses an anisotropic intelligent detection method and system for bulletproof materials, and relates to the technical field of intelligent detection, wherein the method comprises the steps of S1, arranging a piezoelectric fiber composite material transducer array on the surface of the bulletproof material to be detected, synchronously emitting two shear waves which are identical in frequency, orthogonal in polarization direction and programmable in phase difference to the bulletproof material to be detected, forming an interference field inside the bulletproof material to be detected, S2, carrying out time-frequency decomposition on the interference signals to extract space distribution of inter-layer entropy yield, calculating and determining inter-layer phase field distribution according to thermodynamic conjugation relation between the inter-layer entropy yield and inter-layer damage degree, S3, deducing predicted space distribution of the inter-layer phase field distribution at the next moment by utilizing a damage evolution model based on the inter-layer phase field distribution and the fiber orientation gradient of the bulletproof material to be detected, S4, adjusting excitation phase difference and ultrasonic strength of the shear waves in real time according to the space gradient of the predicted space distribution, and repeatedly executing S1 to S3 based on the adjusted parameters.

Inventors

LIU QI
Hu Wenle
JI NAN
ZHANG HUI
FENG JUNJIE
HUANG QIANG
DU ZHIGANG
ZHAO JIANJIAN
LI MINGYU
LI GUANGHUI
CHENG LONG
WANG XINWU
MA JINGJING
MA YUNLING
XIE BING
GAO FUQIANG
CAI LIPENG
FU SHUAI
WANG YUHAO
YAN SHAOYANG

Assignees

洛阳理工学院

Dates

Publication Date: 20260505
Application Date: 20260202

Claims (10)

1. An intelligent detection method for anisotropy of a bulletproof material is characterized by comprising the following steps: S1, arranging a piezoelectric fiber composite material transducer array on the surface of a bulletproof material to be detected, synchronously emitting two shear waves which have the same frequency, orthogonal polarization directions and programmable phase difference adjustment to the bulletproof material to be detected, forming an interference field inside the bulletproof material to be detected, and collecting interference signals of the interference field; s2, performing time-frequency decomposition on the interference signals to extract space distribution of interlayer entropy yield, and calculating and determining interlayer phase field distribution according to thermodynamic conjugation relation between the interlayer entropy yield and interlayer damage degree; S3, based on the inter-layer phase field distribution and the fiber orientation gradient of the bulletproof material to be detected, deducing the predicted spatial distribution of the inter-layer phase field distribution at the next moment by using a damage evolution model comprising a geometrical necessary orientation gradient dissipation item; and S4, adjusting the excitation phase difference and the ultrasonic intensity of the shear wave in real time according to the spatial gradient of the prediction spatial distribution, and repeatedly executing S1 to S3 based on the adjusted excitation phase difference and ultrasonic intensity.
2. The method for intelligently detecting the anisotropy of the bulletproof material according to claim 1, wherein S2, performing time-frequency decomposition on the interference signal to extract a spatial distribution of inter-layer entropy yield, and calculating and determining an inter-layer phase field distribution according to a thermodynamic conjugation relationship between the inter-layer entropy yield and the inter-layer damage degree, comprises: Constructing a time-varying Stokes parameter of the interference signal, and constructing a polarization coherence tensor; carrying out eigen decomposition on the polarization coherence tensor to obtain a first eigen polarization state corresponding to a fast shear wave mode and a second eigen polarization state corresponding to a slow shear wave mode, and projecting the interference signal to the first eigen polarization state and the second eigen polarization state to realize polarization whitening separation; Respectively executing synchronous extrusion transformation on the separated first intrinsic polarization state and the separated second intrinsic polarization state, determining the spatial distribution of the inter-layer entropy yield according to the instantaneous energy attenuation characteristic of each polarization state, and adjusting a reallocation bandwidth parameter according to the inter-layer entropy yield; and calculating and determining initial estimation of the interlayer phase field distribution according to the thermodynamic conjugation relation between the interlayer entropy yield and the interlayer damage degree.
3. The method for intelligently detecting the anisotropy of the bulletproof material according to claim 2, wherein the determining the spatial distribution of the inter-layer entropy yield comprises: calculating the energy attenuation rate according to the energy attenuation characteristic of the second intrinsic polarization state in the time window; Calculating the accumulated energy of the second intrinsic polarization state within the time window Time of Deriving to obtain energy attenuation rate ; Decay rate of the energy Divided by absolute temperature within the time window And effective volume And obtaining the inter-layer entropy yield.
4. The method for intelligently detecting the anisotropy of the bulletproof material according to claim 2, wherein the step of calculating and determining the interlayer phase field distribution in the step S2 comprises the following steps: Constructing a fiber bundle network diagram, wherein the node position of the fiber bundle network diagram corresponds to the geometric center of each fiber bundle, and the weight of the edge connecting adjacent nodes in the fiber bundle network diagram is the product of interlaminar shear rigidity between adjacent nodes and the cosine square of the fiber orientation included angle of the adjacent nodes; Based on the fiber bundle network diagram, solving a simplified Christoffel equation to only reserve a frequency domain green function of an interlayer shear stiffness dominant term, and obtaining a rough wave propagation core.
5. The method for intelligently detecting the anisotropy of a ballistic resistant material according to claim 4, wherein the method further comprises: and constructing a Fourier neural operator, taking Fourier transformation of the rough wave propagation kernel as a neural operator initial convolution kernel, wherein a neural operator learning target is a residual mapping between a real interference signal and rough wave propagation prediction.
6. The method for intelligently detecting the anisotropy of a ballistic resistant material according to claim 5, further comprising: constructing a reversible neural network layer, wherein the reversible neural network layer comprises an affine coupling structure, and constructing an interlayer phase field sequence parameter and the interlayer entropy yield as a bijective mapping pair; A preset multiplication node is arranged in a multiplication branch of the affine coupling structure, and generalized force of unit volume is generated Multiplying the evolution rate of the interlayer phase field sequence parameter by absolute temperature Constraining the operation result to be equal to the interlayer entropy yield, and realizing thermodynamic conjugation relation through hard constraint coding of the preset multiplication operation node; and determining the interlayer phase field distribution and the time change rate thereof through hard constraint coding synchronous inversion.
7. The method according to claim 1, wherein S3, based on the inter-layer phase field distribution and the fiber orientation gradient of the ballistic material to be detected, derives a predicted spatial distribution of the inter-layer phase field distribution at a next moment using a damage evolution model including a geometrically necessary orientation gradient dissipation term, comprising: Obtaining the three-dimensional fiber orientation field of the bulletproof material to be detected through polarization-sensitive optical coherence tomography or based on shear wave birefringence inversion ; Calculating the Nye curvature tensor of the three-dimensional fiber orientation field Obtaining the geometric necessary orientation gradient module value , As gradient operator, nye curvature tensor Constructing a geometrically necessary orientation gradient; Gradient modulus according to the geometrically necessary orientation Calculating discrete ripple energy storage density And according to Correcting the critical strain energy release rate between layers to obtain The discrete ripple energy storage density And critical strain energy release rate between layers Constituting an energy competition item; and calculating evolution according to an evolution rate equation of the inter-layer phase field sequence parameters, and calculating prediction space distribution of the inter-layer phase field distribution at the next moment according to the evolution rate and the current time step.
8. The method for intelligently detecting the anisotropy of the bulletproof material according to claim 1, wherein the real-time adjustment of the excitation phase difference and the ultrasonic intensity of the shear wave comprises: When the spatial gradient of the predicted spatial distribution exceeds a preset phase field gradient threshold value, adjusting the excitation phase difference of the shear wave to a preset phase difference value which enables the sensitivity of an interference field to interlayer delamination to be maximum, and improving the ultrasonic intensity to a preset enhancement multiple of a preset reference value; When the spatial gradient of the predicted spatial distribution is less than or equal to the preset phase field gradient threshold, maintaining the current excitation phase difference and maintaining or reducing the ultrasonic intensity.
9. The method for intelligently detecting the anisotropy of the ballistic resistant material according to claim 8, wherein the real-time adjustment further comprises: and encrypting a scanning path along the normal direction of the spatial gradient in the region where the spatial gradient exceeds the preset phase field gradient threshold value, and shortening the moving step length of the piezoelectric fiber composite material transducer array to the preset compression ratio of the original step length.
10. An intelligent detection system for anisotropy of bulletproof material, which realizes the intelligent detection method for anisotropy of bulletproof material according to claim 1, and is characterized by comprising: The acquisition unit is used for arranging a piezoelectric fiber composite material transducer array on the surface of the bulletproof material to be detected, synchronously transmitting two shear waves which have the same frequency, orthogonal polarization directions and programmable phase difference adjustment to the bulletproof material to be detected, forming an interference field in the bulletproof material to be detected, and acquiring interference signals of the interference field; The calculation unit is used for carrying out time-frequency decomposition on the interference signals to extract the space distribution of the inter-layer entropy yield, and calculating and determining the inter-layer phase field distribution according to the thermodynamic conjugation relationship between the inter-layer entropy yield and the inter-layer damage degree; The deduction unit is used for deducting the predicted spatial distribution of the interlayer phase field distribution at the next moment by utilizing a damage evolution model comprising a geometric necessary orientation gradient dissipation item based on the interlayer phase field distribution and the fiber orientation gradient of the bulletproof material to be detected; and the adjusting unit is used for adjusting the excitation phase difference and the ultrasonic intensity of the shear wave in real time according to the spatial gradient of the prediction spatial distribution.

Description

Intelligent detection method and system for anisotropy of bulletproof material Technical Field The application relates to the technical field of intelligent detection, in particular to an anisotropic intelligent detection method and system for a bulletproof material. Background Bulletproof materials are used as core components of key protective equipment, and the performance of the bulletproof materials is directly related to personal safety and protective effects. In the practical use process, the bulletproof material often faces complex stress environment and impact load, and the anisotropic characteristic and interlayer state of the internal structure have important influence on the integral bulletproof performance. Therefore, effective detection means are developed to evaluate the internal structure and state, and the method has important significance for ensuring the reliability of materials, optimizing protection design and prolonging service life. At present, although obvious macroscopic defects can be found in the detection method for the bulletproof material, the detection method still faces a challenge basically, namely, the performance evolution trend of the bulletproof material under the actual dynamic load is difficult to accurately predict and evaluate through detection signals. This limitation makes existing detection methods often stay post-verification and fail to provide prospective guidance for state management of ballistic materials. In view of the above problems, no effective solution has been proposed at present. Disclosure of Invention The embodiment of the application provides an anisotropic intelligent detection method and system for a bulletproof material, which aim to solve the technical problems. The application provides an anisotropic intelligent detection method of a bulletproof material, which comprises the steps of S1, arranging a piezoelectric fiber composite material transducer array on the surface of the bulletproof material to be detected, synchronously emitting two shear waves which are identical in frequency, orthogonal in polarization direction and programmable in phase difference to the bulletproof material to be detected, forming an interference field in the bulletproof material to be detected, collecting interference signals of the interference field, S2, carrying out time-frequency decomposition on the interference signals to extract space distribution of inter-layer entropy yield, calculating and determining inter-layer phase field distribution according to thermodynamic conjugation relation between the inter-layer entropy yield and inter-layer damage degree, S3, deducing predicted space distribution of the inter-layer phase field distribution at the next moment by utilizing a damage evolution model comprising geometrical necessary orientation gradient dissipation items, S4, adjusting excitation phase difference and ultrasonic strength of the shear waves in real time according to the space gradient of the predicted space distribution, and repeatedly executing S1 to S3 on the basis of the adjusted excitation phase difference and ultrasonic strength. The application provides an anisotropic intelligent detection system for a bulletproof material, which comprises an acquisition unit, a calculation unit, a deduction unit and an adjustment unit, wherein the acquisition unit is used for arranging a piezoelectric fiber composite material transducer array on the surface of the bulletproof material to be detected, synchronously transmitting two shear waves which have the same frequency, orthogonal polarization directions and programmable phase difference adjustment to the bulletproof material to be detected, forming an interference field in the bulletproof material to be detected, acquiring interference signals of the interference field, performing time-frequency decomposition on the interference signals to extract space distribution of inter-layer entropy yield, calculating and determining inter-layer phase field distribution according to thermodynamic conjugation relation between the inter-layer entropy yield and the inter-layer damage degree, and the deduction unit is used for deducting the predicted space distribution of the inter-layer phase field distribution at the next moment by utilizing an evolution model comprising a geometrical necessary orientation gradient dissipation term, and adjusting the excitation and ultrasonic intensity of the shear waves in real time according to the space gradient of the predicted space distribution. Based on the embodiment provided by the application, the two shear waves in a specific form are synchronously emitted to form a controllable interference field in the material, so that a mechanical response closely related to anisotropy is actively excited, an original data base comprising rich directional information is provided for detection, and the excitation efficiency and the capture sensitivity of the anisotropic characteristics of