CN118013800A - Evaluation and detection method and test model for clothing explosion-proof shock wave performance - Google Patents
Evaluation and detection method and test model for clothing explosion-proof shock wave performance Download PDFInfo
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Abstract
The invention provides an evaluation and detection method and a test model for clothing explosion-proof shock wave performance, comprising the following steps: determining a human body model according to the CT and MRI medical image data, constructing a clothing model by deviant processing the human body model, and obtaining a human body clothing model according to the human body model and the clothing model; performing grid division on the human body clothing model, establishing an environment model covering the human body clothing model, establishing an explosive model in the environment model in a joint mode, and setting the proportional distance between the human body clothing model and an explosion source; giving the material properties of the human body clothing model, setting the contact between the models, and defining boundary conditions and loads; calculating deformation and movement processes of the human body clothing model under the action of the explosion shock wave; the invention has the following beneficial effects: according to the invention, the material property and structure of the clothing can be changed in the model, so that the data indexes of the explosion-proof shock wave performance of different clothing can be obtained rapidly.
Description
Technical Field
The invention relates to the technical field of clothing, in particular to an evaluation and detection method and a test model for anti-explosion shock wave performance of clothing.
Background
The explosion shock wave is a shock wave formed by rapidly expanding high-temperature high-pressure gas formed by explosion instant and compressing surrounding air, and the direct impact of the shock wave on a human body can cause serious injuries such as fracture, soft tissue tearing, organ rupture and the like, and researches show that the explosion injury becomes a main injury of soldiers in modern war.
The military armor made of the light composite reinforced material can reduce the damage of ballistic trajectory and shrapnel, but has poor absorptivity to explosion impact energy, the injury effect of currently commonly used military clothing to explosion shock waves is still lack of protection, the detection method of the explosion shock wave performance of the common clothing is a physical substitution model, however, the physical substitution model does not have the same material, structure and size as human body to influence the reliability of experimental results, and meanwhile, the physical substitution model cannot observe the damage change in the human body and is only limited to monitoring pressure and acceleration data at limited positions, so that the clothing protection performance test evaluation has a certain limitation.
Disclosure of Invention
In view of the above drawbacks of the prior art, the present invention aims to provide a method for evaluating and detecting the performance of a garment explosion-proof shock wave and a test model thereof, which are used for solving the problem that the conventional method for detecting the performance of a garment explosion-proof shock wave in the prior art has a certain limitation on the test and evaluation of the garment protection performance.
To achieve the above and other related objects, the present invention provides the following technical solutions:
A method for evaluating and detecting the performance of clothing explosion-proof shock waves comprises the following steps: acquiring CT and MRI medical image data of a study object; determining a human body model according to the CT and MRI medical image data, constructing a clothing model by deviant processing the human body model, and obtaining a human body clothing model according to the human body model and the clothing model; performing grid division on the human body clothing model, establishing an environment model covering the human body clothing model, establishing an explosive model in the environment model in a joint mode, and setting the proportional distance between the human body clothing model and an explosion source; giving the material properties of the human body clothing model, setting the contact between the models, and defining boundary conditions and loads; and calculating deformation and movement processes of the human body clothing model under the action of the explosion shock wave, and obtaining evaluation index data for evaluating the explosion shock wave performance of the clothing according to the calculation result.
A test model of blast resistant performance of apparel, comprising: a mannequin determined from the CT and MRI medical image data, a mannequin constructed by deviant processing the mannequin, an environmental model covering the mannequin, and an explosive model built in the environmental model in a co-node manner.
A server, comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the garment blast performance evaluation detection method as described above.
A computer readable storage medium storing a computer program which when executed by a processor implements a garment blast performance evaluation detection method as described above.
In an embodiment of the present invention, the determining a mannequin according to the CT and MRI medical image data, constructing a clothing model by deviant processing the mannequin, and obtaining a mannequin according to the mannequin and the clothing model includes: reading CT and MRI human body data by using Mimics software, and establishing a three-dimensional human body surface grid model related to human bones and soft tissues according to the CT and MRI human body data; repairing the three-dimensional human body surface grid model in Geomagic software, removing interference to obtain a human body model, constructing a clothing model through surface migration treatment of the human body model, and converting the human body clothing model into a curved surface model; and drawing the articular cartilage of the curved surface model by referring to the human anatomy structure in Solidworks software, and performing interference treatment and inspection on the curved surface model to obtain an assembly of the human clothing model.
In an embodiment of the present invention, the rendering the articular cartilage in the Solidworks software with respect to the curved surface model and the human anatomy includes: drawing an intervertebral disc sketch stretching sketch between cones according to an anatomical structure to obtain an intervertebral disc entity, drawing an articular cartilage sketch stretching boss between upper and lower articular processes to obtain an articular cartilage entity, and drawing a costal cartilage sketch lofting boss between a sternum and ribs to obtain a chest costal cartilage entity.
In an embodiment of the present invention, the mesh division is performed on the human body clothing model, an environmental model covering the human body clothing model is established, an explosive model is established in the environmental model in a joint mode, and a proportional distance between the human body clothing model and an explosion source is set, including: using HYPERMESH software to divide the human body clothing model into different types of grids, and checking and optimizing the grid quality; establishing a cuboid area of the hexahedral mesh unit, so that the cuboid area completely surrounds the human body clothing model to serve as an environment model; the appropriate environmental grid cells are separated as an explosive model and connected to the environmental model in a co-node manner.
In one embodiment of the present invention, the method for imparting material properties to a body garment model, setting contact between the models, and defining boundary conditions and loads includes: in Ls-PrePost software, a human skeleton in a human model is selected to be a linear elastic material, a soft tissue is selected to be a viscoelastic material, a clothing model is selected to be a reinforced composite material, an explosive model is selected to be a high-explosive material, and an environment model is selected to be an empty material; setting human bones and articular cartilages as binding contacts, soft tissues as surface contacts and garment models as surface contacts respectively; and respectively setting an explosive model, an environment model and a human body clothing model to be fluid-solid coupling.
In one embodiment of the invention, the parameters of the bone material include density, young's modulus, poisson's ratio; parameters of the soft tissue material include density, bulk modulus of elasticity, short shear modulus, long shear modulus, and decay constant; parameters of the garment model material include density, elastic modulus, shear modulus, poisson's ratio and failure stress; parameters of the explosive model material comprise density, detonation velocity and detonation pressure; the parameters of the environmental model material include density, cutoff pressure, and viscosity coefficient.
In an embodiment of the present invention, the obtaining, according to the calculation result, evaluation index data for evaluating the performance of the garment explosion-proof shock wave includes: and extracting acceleration and pressure data of typical characteristics on bones and soft tissues according to a calculation result in Ls-PrePost software, simultaneously obtaining stress strain cloud pictures of the bones and the soft tissues, and evaluating and detecting the performance of the clothing explosion-proof shock wave according to the acceleration, the pressure data and the stress strain cloud pictures.
As described above, the evaluation and detection method and the test model for the anti-explosion shock wave performance of the clothing have the following beneficial effects: according to the invention, a human body model is obtained according to CT and MRI medical image data, then a clothing model is constructed through migration processing of the human body model, an environment model covering the human body clothing model is constructed, and an explosive model is built in the environment model in a joint mode, so that data indexes of explosion-proof shock wave performances of different clothing can be rapidly obtained by changing material properties and structures of the clothing in the model; and the damage change in the human body can be directly observed, the pressure and acceleration data at any moment and any position are extracted, the protection effect of clothing on the human body is analyzed, the quality of explosive and the distance between a human body clothing model and an explosion source can be adjusted, the working conditions with different proportions and distances are simulated, the testing cost and the testing time are reduced, and the testing safety is improved.
Drawings
FIG. 1 is a flowchart showing a method for evaluating and detecting the performance of a clothing blast protection shock wave in a first embodiment of the invention;
Fig. 2 is a schematic view of an electronic device according to a third embodiment of the present invention;
FIG. 3 is a schematic diagram showing a modeling flow of a method for evaluating and detecting the performance of the anti-explosion shock waves of the clothing according to the invention;
FIG. 4 is a schematic view of a human body garment mesh model processed in HYPERMESH software according to the present invention;
FIG. 5 is a schematic diagram showing the assembly of a human body garment model with an environmental model and an explosive model in the Ls-PrePost software according to the present invention;
FIG. 6 shows a stress cloud for a mannequin of the present invention subjected to an explosive shock wave in an infinite air field;
Fig. 7 shows a stress cloud of a garment model subjected to blast shock waves in an infinite air zone according to the present invention.
Detailed Description
Other advantages and effects of the present invention will become apparent to those skilled in the art from the following disclosure, which describes the embodiments of the present invention with reference to specific examples. It should be noted that the following embodiments and features in the embodiments may be combined with each other without conflict.
The first embodiment of the invention relates to an evaluation and detection method for clothing explosion-proof shock wave performance, wherein the flow is shown in fig. 1, and specifically comprises the following steps:
Step 101, CT and MRI medical image data of a subject are acquired.
Step 102, determining a human body model according to the CT and MRI medical image data, constructing a clothing model through migration processing of the human body model, and obtaining the human body clothing model according to the human body model and the clothing model.
Specifically, firstly, human body data of CT and MRI are read by using Mimics software, a three-dimensional human body surface grid model related to human bones and soft tissues is built according to the human body data of CT and MRI, then the three-dimensional human body surface grid model is repaired in Geomagic software, the human body model is obtained after interference is removed, a clothing model is built by surface migration processing of the human body model, the human body clothing model is converted into a curved surface model, finally, joint cartilage is drawn by referring to human anatomy structure of the curved surface model in Solidworks software, and interference processing and inspection are carried out on the curved surface model, so that an assembly body of the human body clothing model is obtained.
In practical application, a retrograde engineering technology is used, a human skeleton and soft tissue model is established through medical image data obtained by CT and MRI, a clothing model is established in an offset mode, interference is removed from the human skeleton and soft tissue model, and an assembly of the human clothing model is derived, wherein the specific steps can be as follows: firstly, reading CT and MRI human body data by using Mimics software, segmenting bones and soft tissues, reconstructing human body contours, and deriving a human body three-dimensional model in a triangular plate format; repairing the three-dimensional human body surface grid model in Geomagic software, removing interference between bones and organs, constructing a garment model by shifting the surface of the human body model according to the thickness of the required garment, and converting the human body garment model into a curved surface model for export; and then the curved surface model is imported into Solidworks software, the joint cartilage is drawn in the Solidworks software by referring to the human anatomy structure, the model is assembled and interference check is carried out, and then the assembly of the human clothing model is exported.
Step 103, meshing the human body clothing model, establishing an environment model covering the human body clothing model, establishing an explosive model in the environment model in a joint mode, and setting the proportional distance between the human body clothing model and the explosion source.
Specifically, first, HYPERMESH software is used to divide a human body clothing model into different types of grids, the quality of the grids is checked and optimized, then a cuboid area of a hexahedral grid unit is established to completely surround the human body clothing model as an environment model, finally, a proper environment grid unit is separated to serve as an explosive model and is connected with the environment model in a joint mode, wherein different types of environment models, which can be an air area and a water area, can be established by using finite element pretreatment software according to different requirements, and meanwhile, an obstacle model can be established in the environment model according to the use requirements of the clothing model.
In practical application, finite element pretreatment software is imported to divide grids, an environment model for covering a human body clothing model is established, an explosive model is established in the environment domain in a joint mode, the proportion distance between the human body clothing model and an explosion source is adjusted, and the generated explosion shock wave energy can be changed, and the method comprises the following specific steps: the method comprises the steps of importing an assembly body of a human body clothing model into HYPERMESH software to divide grids, firstly drawing 2D grids by bones and soft tissues, then generating 3D grids according to the 2D grids, dividing the 2D grids by the clothing model, checking the quality of the model grids in HYPERMESH software, optimizing the grids, establishing a cuboid area of hexahedral grid units in HYPERMESH or Ls-PrePost software to enable the cuboid area to completely surround the human body clothing model to serve as an environment model, separating proper environment grid units to serve as an explosive model according to the explosive quality requirement, and connecting the environment model in a joint mode.
Step 104, imparting material properties to the body garment model, setting up contact between the models, and defining boundary conditions and loads.
Specifically, firstly, in Ls-PrePost software, a human skeleton in a human model is selected as a line elastic material, a soft tissue is selected as a viscoelastic material, a clothing model is selected as a reinforced composite material, an explosive model is selected as a high-explosive material, an environment model is selected as an empty material, then the human skeleton and the articular cartilage are respectively arranged as binding contact, the soft tissue is in surface contact and the clothing model is in surface contact, and fluid-solid coupling is respectively arranged between the explosive model and the environment model and the human clothing model.
In practical application, the method is used for endowing the model material with properties, setting the contact between the models, and defining boundary conditions and loads, wherein the specific steps are as follows: the properties of the model material are respectively given: selecting a line elastic material, selecting a soft tissue viscoelastic material, selecting a clothing model as a reinforced composite material, selecting an explosive model as a high-explosive material, and selecting an environment model as an empty material; the contact between the models was set separately: setting binding contact between bones and articular cartilages, setting surface contact of soft tissues and setting surface contact of clothing models; boundary conditions and loads are defined separately: the explosive model, the environment model and the human body clothing model are fixedly coupled through fluid, the outer surface of the environment model defines a reflection-free boundary, the explosive model is described by adopting JWL state equation, the environment model is described by adopting linear polynomial state equation, the center of the explosive model is set as an explosion point, and an ALE or S-ALE method is adopted to realize explosion load.
Step 105, calculating deformation and movement processes of the human body clothing model under the action of the explosion shock wave, and obtaining evaluation index data for evaluating the anti-explosion shock wave performance of the clothing according to the calculation result.
Specifically, acceleration and pressure data of typical characteristics on bones and soft tissues are extracted according to calculation results in Ls-PrePost software, stress strain cloud charts of the bones and the soft tissues are obtained at the same time, and performance of the clothing explosion-proof shock wave is evaluated and detected according to the acceleration, the pressure data and the stress strain cloud charts, and the whole flow is shown in fig. 3.
Further, in this embodiment, the chemicals are three-dimensional surface mesh model reconstruction software, CT and MRI medical image data are imported through Dicom format, gray threshold segmentation is set for human tissue region, three-dimensional human surface mesh model is constructed through modification, filling and multi-layer editing operations, and exported into STL format; geomagic is three-dimensional curved surface reconstruction software, a STL-format surface mesh model is imported, a geometric shape is repaired through a polygonal tool, a solid triangular surface patch is approximated to a real solid model, an accurate curved surface is used for fitting a polygonal mesh to obtain a smooth continuous NURBS curved surface model, and the smooth continuous NURBS curved surface model is exported to be in STEP format; solidworks is three-dimensional design software, STEP format files are converted into PRT format in Solidworks, a model is opened in a part format, an intervertebral disc sketch stretching sketch is drawn between cones to obtain an intervertebral disc entity, an articular cartilage sketch stretching boss is drawn between upper and lower articular processes to obtain an articular cartilage entity, a costal cartilage sketch lofting boss is drawn between sternum and ribs to obtain a chest costal cartilage entity, interference among parts of the model is removed through a combined command, and finally the model is converted into an assembly and is led out in an X_T format.
HYPERMESH is finite element preprocessing software, has a powerful grid editing function, imports a geometric model in an X_T format, selects the size of a grid according to the geometric model, divides a tetrahedral grid into a human model, divides a quadrilateral grid into a garment model, checks the quality of the grid through control parameters, adjusts and optimizes, and exports a k file; ls-PrePost is finite element pre-post processing software specially developed for LS-DYNA, and the pre-processing is used for setting keywords for a k-file model derived from HYPERMESH software and endowing the model with material properties, boundary conditions, constraints and loads; the post-processing is used for extracting calculation data and observing the mechanical response of the human body under the action of the explosion shock wave; LS-DYNAProgrammanager is a solver of LS-DYNA, is suitable for calculating the problems of geometric nonlinearity, material nonlinearity, contact nonlinearity and the like, is particularly suitable for solving explosion impact, submitting k files defining keywords, distributing CPU and memory settings, and calculating deformation and movement processes of a human body clothing model under the action of explosion impact waves.
An example of an embodiment of the invention is provided below, a healthy male chest cavity is selected as a subject, in conjunction with figures 4, 5, 6 and 7, to further illustrate the practice of the invention: the first step: reading CT image data in the Mimics software, adjusting a threshold value to divide bones and soft tissues, respectively calculating to obtain three-dimensional surface grid models of ribs, thoracic vertebrae, sternum, left lung, right lung, heart and muscles through editing, cutting, filling and other operations, and deriving the three-dimensional surface grid models in an STL format; and a second step of: importing a geometric model of bones and soft tissues into Geomagic software to repair polygons, removing mutual interference among thoracic vertebrae, ribs and thoracic vertebrae, lungs and ribs, lungs and thoracic vertebrae and lungs and hearts, offsetting the outer surface of a human body model to obtain a clothing model, and then performing surface fitting on an accurate curved surface to obtain a solid model in STEP format; and a third step of: each bone and soft tissue of STEP format is transferred into parts in Solidworks software, all bones and soft tissues are imported through inserting the parts for assembly, an intervertebral disc sketch stretching sketch is drawn between cones according to anatomical structures to obtain an intervertebral disc entity, an articular cartilage sketch stretching boss is drawn between upper and lower articular processes to obtain an articular cartilage entity, a costal cartilage sketch lofting boss is drawn between sternum and ribs to obtain a chest costal cartilage entity, interference among soft tissues is removed through a combined command, and an assembly is derived in an X_T format;
Fourth step: importing an assembly body in an X_T format into HYPERMESH software, setting a human body model importing scale factor as 1000, drawing a 2D grid according to the outer surface of the human body model, generating a 3D grid according to the 2D grid, setting the grid sizes of ribs and rib cartilages as 2mm, setting the grid sizes of sternum and thoracic vertebrae as 4mm, setting the grid sizes of heart and lung as 5mm, setting the grid sizes of other soft tissues as 40mm, checking and optimizing the quality of the 2D grid, generating the 3D grid according to the 2D grid, checking and optimizing the quality of the 3D grid, directly dividing the quadrilateral 2D grid by a clothing model, and setting the grid sizes as 40mm; fifth step: creating a square with the size of 1000mm multiplied by 1000mm below the human body clothing model along the x-y direction, dividing the square into quadrangular grid units with the size of 40mm, stretching the quadrangular units by 1000mm along the z-direction through a stretching command, setting the stretching layer number as 25 layers, and obtaining hexahedral grid units with the size of 1000mm multiplied by 1000mm as an air domain; moving 2 x 1 units 700mm from the centre of the sternum to a new assembly as explosive units;
Sixth step: importing all the divided grid cells in HYPERMESH software into Ls-PrePost software in a k file format, and defining grid properties, material properties, contact, boundary conditions and loads for the model; seventh step: setting the grid attribute of each part by using SECTION keywords, wherein the grids of the soft tissues and bones are defined as single integral pressure tetrahedral units; the grid of the clothing model is defined as a B-T shell unit, the clothing is provided with four layers, the single-layer thickness is 0.26mm, and the fiber layering directions are respectively 0 degree, 45 degrees and 90 degrees; the grids of the environment model and the explosive model are defined as ALE multi-material elements; eighth step: setting material properties of all parts by using MAT keywords, selecting a viscoelastic material by soft tissues, and setting material density, elastic bulk modulus, short shear modulus, long shear modulus and decay coefficient; selecting a line elastic material by bones, and setting the material density, young modulus and Poisson's ratio; the clothing model selects composite reinforced materials, and the density, the longitudinal tensile strength and the compressive strength of the materials are set, and the elastic modulus, the shear modulus and the poisson ratio of the surfaces of the warp, the weft and the vertical fabrics are set; the environment model selects empty materials, and sets the density, the cutoff pressure and the viscosity coefficient of the materials; the explosive model selects to set high explosive materials, and sets material density, detonation velocity and detonation pressure;
Ninth step: using CONTACT keywords to set CONTACT between the human body model and the clothing model, setting the heart and the lung to be in surface CONTACT, setting the bone and the joint cartilage to be in binding CONTACT, and setting the clothing model to be in surface CONTACT; setting fluid-solid coupling between the environment model and the explosive model and the human body clothing model by using CONSTRAINED keywords; tenth step: setting a BOUNDARY condition of the model by using a BOUNDARY, and setting the outer surface of the environment model as a reflection-free BOUNDARY; eleventh step: using JWL state equation to describe the state of explosive, using linear polynomial state equation to describe the state of environment, setting the center of explosive as detonating point, controlling calculation time step and termination time, setting hourglass control and output; twelfth step: the final k file is imported into an LS-DYNAProgrammanager display dynamics solver for calculation, and an 8CPU and a 2000M memory are allocated; thirteenth step: and a calculation result file is imported into LS-PrePost, pressure data and speed data at specific positions can be read, a pressure time curve is drawn for evaluation analysis, and meanwhile stress-strain cloud pictures of all parts at different moments can be observed to obtain stress-strain data.
A second embodiment of the present invention relates to a test model for blast-proof shock wave performance of a garment, comprising: a phantom determined from the CT and MRI medical image data, a clothing model constructed by deviant processing the phantom, an environmental model overlaying the clothing model of the human, and an explosive model built in the environmental model in a co-node manner.
A third embodiment of the present invention relates to a server, referring to fig. 2, including:
At least one processor; and a memory communicatively coupled to the at least one processor; the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method for evaluating and detecting blast performance of a garment as described above.
Where the memory and the processor are connected by a bus, the bus may comprise any number of interconnected buses and bridges, the buses connecting the various circuits of the one or more processors and the memory together. The bus may also connect various other circuits such as peripherals, voltage regulators, and power management circuits, which are well known in the art, and therefore, will not be described any further herein. The bus interface provides an interface between the bus and the transceiver. The transceiver may be one element or may be a plurality of elements, such as a plurality of receivers and transmitters, providing a means for communicating with various other apparatus over a transmission medium. The data processed by the processor is transmitted over the wireless medium via the antenna, which further receives the data and transmits the data to the processor.
The processor is responsible for managing the bus and general processing and may also provide various functions including timing, peripheral interfaces, voltage regulation, power management, and other control functions. And memory may be used to store data used by the processor in performing operations.
A fourth embodiment of the present invention relates to a computer-readable storage medium storing a computer program which, when executed by a processor, implements the above-described method embodiments.
That is, it will be understood by those skilled in the art that all or part of the steps in implementing the methods of the embodiments described above may be implemented by a program stored in a storage medium, where the program includes several instructions for causing a device (which may be a single-chip microcomputer, a chip or the like) or a processor (processor) to perform all or part of the steps in the methods of the embodiments of the application. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
According to the invention, a human body model is obtained according to CT and MRI medical image data, then a clothing model is constructed through migration processing of the human body model, an environment model covering the human body clothing model is constructed, and an explosive model is built in the environment model in a joint mode, so that data indexes of explosion-proof shock wave performances of different clothing can be rapidly obtained by changing material properties and structures of the clothing in the model; and the damage change in the human body can be directly observed, the pressure and acceleration data at any moment and any position are extracted, the protection effect of clothing on the human body is analyzed, the quality of explosive and the distance between a human body clothing model and an explosion source can be adjusted, the working conditions with different proportions and distances are simulated, the testing cost and the testing time are reduced, and the testing safety is improved.
The above embodiments are merely illustrative of the principles of the present invention and its effectiveness, and are not intended to limit the invention. It is intended that all equivalent modifications and variations of the invention be covered by the claims of this invention be accomplished by those of ordinary skill in the art without departing from the spirit and scope of the invention as disclosed herein.
Claims (10)
1. The method for evaluating and detecting the performance of the clothing explosion-proof shock wave is characterized by comprising the following steps of:
acquiring CT and MRI medical image data of a study object;
determining a human body model according to the CT and MRI medical image data, constructing a clothing model by deviant processing the human body model, and obtaining a human body clothing model according to the human body model and the clothing model;
Performing grid division on the human body clothing model, establishing an environment model covering the human body clothing model, establishing an explosive model in the environment model in a joint mode, and setting the proportional distance between the human body clothing model and an explosion source;
giving the material properties of the human body clothing model, setting the contact between the models, and defining boundary conditions and loads;
And calculating deformation and movement processes of the human body clothing model under the action of the explosion shock wave, and obtaining evaluation index data for evaluating the explosion shock wave performance of the clothing according to the calculation result.
2. The method for evaluating and detecting the performance of the explosion-proof shock waves of the garment according to claim 1, wherein the method comprises the following steps: the method for determining the human body model according to the CT and MRI medical image data, constructing a clothing model by deviant processing the human body model, and obtaining the human body clothing model according to the human body model and the clothing model comprises the following steps:
reading CT and MRI human body data by using Mimics software, and establishing a three-dimensional human body surface grid model related to human bones and soft tissues according to the CT and MRI human body data;
Repairing the three-dimensional human body surface grid model in Geomagic software, removing interference to obtain a human body model, constructing a clothing model through surface migration treatment of the human body model, and converting the human body clothing model into a curved surface model;
And drawing the articular cartilage of the curved surface model by referring to the human anatomy structure in Solidworks software, and performing interference treatment and inspection on the curved surface model to obtain an assembly of the human clothing model.
3. The method for evaluating and detecting the performance of the explosion-proof shock waves of the garment according to claim 2, wherein the method comprises the following steps: the drawing of articular cartilage with respect to a curved surface model and a human anatomy structure in Solidworks software comprises:
Drawing an intervertebral disc sketch stretching sketch between cones according to an anatomical structure to obtain an intervertebral disc entity, drawing an articular cartilage sketch stretching boss between upper and lower articular processes to obtain an articular cartilage entity, and drawing a costal cartilage sketch lofting boss between a sternum and ribs to obtain a chest costal cartilage entity.
4. The method for evaluating and detecting the performance of the explosion-proof shock waves of the garment according to claim 1, wherein the method comprises the following steps: the method for meshing the human body clothing model, establishing an environment model covering the human body clothing model, establishing an explosive model in the environment model in a joint mode, setting the proportional distance between the human body clothing model and an explosion source, and comprises the following steps:
Using HYPERMESH software to divide the human body clothing model into different types of grids, and checking and optimizing the grid quality;
establishing a cuboid area of the hexahedral mesh unit, so that the cuboid area completely surrounds the human body clothing model to serve as an environment model;
the appropriate environmental grid cells are separated as an explosive model and connected to the environmental model in a co-node manner.
5. The method for evaluating and detecting the performance of the explosion-proof shock waves of the garment according to claim 1, wherein the method comprises the following steps: the imparting of material properties to the mannequin, setting contact between the models, and defining boundary conditions and loads, includes:
In Ls-PrePost software, a human skeleton in a human model is selected to be a linear elastic material, a soft tissue is selected to be a viscoelastic material, a clothing model is selected to be a reinforced composite material, an explosive model is selected to be a high-explosive material, and an environment model is selected to be an empty material;
setting human bones and articular cartilages as binding contacts, soft tissues as surface contacts and garment models as surface contacts respectively;
and respectively setting an explosive model, an environment model and a human body clothing model to be fluid-solid coupling.
6. The method for evaluating and detecting the performance of the explosion-proof shock waves of the garment according to claim 5, wherein the method comprises the following steps: parameters of the bone material include density, young's modulus, poisson's ratio; parameters of the soft tissue material include density, bulk modulus of elasticity, short shear modulus, long shear modulus, and decay constant; parameters of the garment model material include density, elastic modulus, shear modulus, poisson's ratio and failure stress; parameters of the explosive model material comprise density, detonation velocity and detonation pressure; the parameters of the environmental model material include density, cutoff pressure, and viscosity coefficient.
7. The method for evaluating and detecting the performance of the explosion-proof shock waves of the garment according to claim 1, wherein the method comprises the following steps: the method for obtaining the evaluation index data for evaluating the anti-explosion shock wave performance of the clothing according to the calculation result comprises the following steps:
And extracting acceleration and pressure data of typical characteristics on bones and soft tissues according to a calculation result in Ls-PrePost software, simultaneously obtaining stress strain cloud pictures of the bones and the soft tissues, and evaluating and detecting the performance of the clothing explosion-proof shock wave according to the acceleration, the pressure data and the stress strain cloud pictures.
8. A test model for the explosion-proof shock wave performance of clothing is characterized in that: comprising the following steps: a mannequin determined from the CT and MRI medical image data, a mannequin constructed by deviant processing the mannequin, an environmental model covering the mannequin, and an explosive model built in the environmental model in a co-node manner.
9. A server, comprising:
at least one processor; and
A memory communicatively coupled to the at least one processor; wherein,
The memory stores instructions executable by the at least one processor to enable the at least one processor to perform a garment blast performance evaluation detection method according to any one of claims 1 to 7.
10. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements a method for evaluating and detecting blast performance of a garment according to any one of claims 1 to 7.
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