CN116580788A - Mechanical parameter calculation method, system, device, equipment and storage medium - Google Patents
Mechanical parameter calculation method, system, device, equipment and storage medium Download PDFInfo
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Abstract
The application discloses a mechanical parameter calculation method, a mechanical parameter calculation system, a mechanical parameter calculation device, mechanical parameter calculation equipment and a mechanical parameter calculation storage medium. The mechanical parameter calculation method comprises the following steps: and obtaining a to-be-detected image of the autoclaved aerated concrete, and carrying out structural modeling according to the to-be-detected image to obtain a sample structural model. And performing grid division on the sample structure model to obtain an original finite element model. And acquiring first pore data and second pore data of the concrete sample according to the image to be detected, and calculating to obtain total porosity according to the first pore data and the second pore data. And acquiring mineral composition data of the concrete sample, and performing assignment operation on the original finite element model according to the total porosity and the mineral composition data, so as to calculate the target mechanical parameters of the concrete sample. The mechanical parameter calculation method of the embodiment can enable the calculated target mechanical parameter to be more in line with the actual situation of the autoclaved aerated concrete, so that the calculation accuracy of the mechanical parameter of the autoclaved aerated concrete is improved.
Description
Technical Field
The present application relates to the field of material analysis technologies, and in particular, to a method, a system, a device, equipment, and a storage medium for calculating mechanical parameters.
Background
Currently, the mechanical parameters of autoclaved aerated concrete are determined by using a structural model simulating the structural characteristics of autoclaved aerated concrete.
In the related art, a structural model of autoclaved aerated concrete structural features is established in a form of randomly distributed spheres. However, the structural model obtained through sphere random distribution simulation cannot truly represent the actual spatial structure of the autoclaved aerated concrete, namely, the structural model of the method has errors with the structural characteristics of the actual autoclaved aerated concrete, so that the calculation accuracy of the mechanical parameters of the autoclaved aerated concrete is affected. Therefore, how to improve the calculation accuracy of the mechanical parameters of autoclaved aerated concrete is a technical problem to be solved.
Disclosure of Invention
The present application aims to solve at least one of the technical problems existing in the prior art. Therefore, the application provides a calculation method for the mechanical parameters of the concrete, which can improve the calculation precision of the mechanical parameters of the autoclaved aerated concrete.
The application also provides a mechanical parameter calculation system applying the mechanical parameter calculation method, a mechanical parameter calculation device, an electronic device applying the mechanical parameter calculation method and a computer readable storage medium applying the mechanical parameter calculation method.
According to an embodiment of the first aspect of the present application, a mechanical parameter calculating method is used for calculating a mechanical parameter of a concrete sample, and the method includes:
performing structural modeling operation according to the acquired image to be detected to obtain a sample structural model; the image to be detected is a tomographic image of a concrete sample, and the concrete sample is autoclaved aerated concrete;
performing grid division on the sample structure model to obtain an original finite element model; the original finite element model is used for representing mechanical structural characteristics of the concrete sample in an original state;
acquiring first pore data and second pore data of a concrete sample according to the image to be detected, and acquiring total porosity of the concrete sample according to the first pore data and the second pore data; wherein the first pore data and the second pore data are pore data of the concrete sample under different scanning resolutions;
acquiring mineral composition data of the concrete sample; wherein the mineral composition data comprises mineral mechanical parameters of constituent minerals comprising the concrete sample;
and carrying out assignment operation on the original finite element model according to the total porosity and the mineral composition data, and calculating to obtain the target mechanical parameters of the concrete sample.
The mechanical parameter calculation method provided by the embodiment of the application has at least the following beneficial effects: and obtaining a to-be-detected image of the autoclaved aerated concrete, and carrying out structural modeling according to the to-be-detected image to obtain a sample structural model. And performing grid division on the sample structure model to obtain an original finite element model. And acquiring first pore data and second pore data of the concrete sample according to the image to be detected, and calculating to obtain total porosity according to the first pore data and the second pore data. And acquiring mineral composition data of the concrete sample, and performing assignment operation on the original finite element model according to the total porosity and the mineral composition data, so as to calculate the target mechanical parameters of the concrete sample. According to the mechanical parameter calculation method, the original finite element model is assigned by utilizing actual total porosity and mineral composition data of the autoclaved aerated concrete, so that the calculated target mechanical parameter is more in line with the actual condition of the autoclaved aerated concrete, and the calculation accuracy of the mechanical parameter of the autoclaved aerated concrete is improved.
According to some embodiments of the application, the assigning operation is performed on the original finite element model according to the total porosity and the mineral composition data, and the calculating to obtain the target mechanical parameters of the concrete sample includes:
performing assignment operation on the original finite element model according to the total porosity and the mineral composition data to obtain a preliminary finite element model;
performing simulation compression treatment on the preliminary finite element model to obtain a target finite element model; the target finite element model is used for representing mechanical structural characteristics of the concrete sample in a deformation state;
and calculating according to the target finite element model to obtain the target mechanical parameter.
According to some embodiments of the present application, the obtaining first pore data and second pore data of a concrete sample according to the image to be measured, and obtaining total porosity of the concrete sample according to the first pore data and the second pore data includes:
acquiring the first pore data of the concrete sample at a first scanning resolution according to the image to be detected;
acquiring the second pore data of the concrete sample at a second scanning resolution according to the image to be detected; wherein the first scanning resolution is greater than the second scanning resolution;
and calculating the total porosity according to the first pore data and the second pore data.
According to some embodiments of the application, the assigning operation is performed on the original finite element model according to the total porosity and the mineral composition data to obtain a preliminary finite element model, including:
carrying out standardized treatment on the mineral composition data to obtain mineral standard data;
and carrying out assignment operation on the original finite element model according to the mineral standard data and the total porosity to obtain the preliminary finite element model.
According to some embodiments of the application, the meshing of the sample structure model to obtain an original finite element model includes:
obtaining a segmentation size according to a preset reference aggregation size and a preset reference size precision;
and carrying out grid division on the sample structure model according to the segmentation size to obtain the original finite element model.
An embodiment of the mechanical parameter calculation system according to the second aspect of the present application includes:
a controller for executing the mechanical parameter calculation method described in the embodiment of the first aspect;
an electronic computed tomography scanner for acquiring the image to be measured;
and the X-ray diffractometer is used for acquiring the mineral composition data.
The mechanical parameter calculation system provided by the embodiment of the application has at least the following beneficial effects: the mechanical parameter calculation system improves the calculation accuracy of the mechanical parameters of the autoclaved aerated concrete by adopting the mechanical parameter calculation method.
An embodiment of the mechanical parameter calculation device according to the third aspect of the present application includes:
the structure model construction module is used for carrying out structure modeling operation according to the acquired image to be detected to obtain a sample structure model; the image to be detected is a tomographic image of a concrete sample, and the concrete sample is autoclaved aerated concrete;
the grid division module is used for carrying out grid division on the sample structure model to obtain an original finite element model; the original finite element model is used for representing mechanical structural characteristics of the concrete sample in an original state;
the total porosity acquisition module is used for acquiring first pore data and second pore data of a concrete sample according to the image to be detected, and acquiring the total porosity of the concrete sample according to the first pore data and the second pore data; wherein the first pore data and the second pore data are pore data of the concrete sample under different scanning resolutions;
the mineral composition data acquisition module is used for acquiring mineral composition data of the concrete sample; wherein the mineral composition data comprises mineral mechanical parameters of constituent minerals comprising the concrete sample;
and the target mechanical parameter calculation module is used for carrying out assignment operation on the original finite element model according to the total porosity and the mineral composition data, and calculating to obtain the target mechanical parameter of the concrete sample.
An electronic device according to an embodiment of a fourth aspect of the present application includes:
at least one memory;
at least one processor;
at least one computer program;
the computer program is stored in the memory, and the processor executes the at least one computer program to implement the mechanical parameter calculation method of the embodiment of the first aspect described above.
A computer-readable storage medium according to an embodiment of the fifth aspect of the present application stores computer-executable instructions for causing a computer to perform the mechanical parameter calculation method of the embodiment of the first aspect described above.
Additional aspects and advantages of the application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the application.
Drawings
The application is further described with reference to the accompanying drawings and examples, in which:
FIG. 1 is a flow chart of a mechanical parameter calculation method according to an embodiment of the present application;
FIG. 2A is a schematic diagram of a sample structural model of an autoclaved aerated concrete sample in accordance with an embodiment of the application;
FIG. 2B is a schematic diagram of an original finite element model of an autoclaved aerated concrete sample in accordance with an embodiment of the application;
FIG. 2C is a schematic diagram of a target finite element model of an autoclaved aerated concrete sample in accordance with an embodiment of the application;
FIG. 3 is a flowchart of a specific method of step S120 in FIG. 1;
FIG. 4 is a flowchart of a specific method of step S130 in FIG. 1;
FIG. 5 is a flowchart of a specific method of step S150 in FIG. 1;
FIG. 6 is a flowchart of a specific method of step S510 in FIG. 5;
FIG. 7 is a graph of target mechanical parameters in an embodiment of the application;
FIG. 8 is a block diagram of a mechanical parameter calculation device according to an embodiment of the present application;
fig. 9 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present application.
Reference numerals:
the system comprises a structural model building module 110, a meshing module 120, a total porosity acquisition module 130, a mineral composition data acquisition module 140, a target mechanical parameter calculation module 150, a processor 210, a memory 220, an input/output interface 230, a communication interface 240, and a bus 250.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
It should be noted that although functional block division is performed in a device diagram and a logic sequence is shown in a flowchart, in some cases, the steps shown or described may be performed in a different order than the block division in the device, or in the flowchart. The terms first, second and the like in the description and in the claims and in the above-described figures, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of the application only and is not intended to be limiting of the application.
First, several nouns involved in the present application are parsed:
autoclaved aerated concrete: the novel light porous green environment-friendly building material is prepared by taking cement, lime, silica sand and the like as main raw materials and adding different numbers of reinforced meshes subjected to corrosion prevention treatment according to structural requirements. The autoclaved aerated concrete slab with porous crystals is produced through high-temperature high-pressure steam curing, has lower density than common cementitious materials, and has excellent performances of fire resistance, sound insulation, heat preservation and the like.
Currently, the mechanical parameters of autoclaved aerated concrete are determined by using a structural model simulating the structural characteristics of autoclaved aerated concrete.
In the related art, a structural model of autoclaved aerated concrete structural features is established in a form of randomly distributed spheres. However, the structural model obtained through sphere random distribution simulation cannot truly represent the actual spatial structure of the autoclaved aerated concrete, namely, the structural model of the method has errors with the structural characteristics of the actual autoclaved aerated concrete, so that the calculation accuracy of the mechanical parameters of the autoclaved aerated concrete is affected. Therefore, how to improve the calculation accuracy of the mechanical parameters of autoclaved aerated concrete is a technical problem to be solved.
Based on the above, the embodiments of the present disclosure provide a method, a system, a device, an apparatus, and a storage medium for calculating mechanical parameters, which can improve the calculation accuracy of mechanical parameters of concrete.
As shown in fig. 1, an embodiment of the present application provides a method for calculating mechanical parameters of an autoclaved aerated concrete sample, including, but not limited to, steps S110 to S150, which are described in detail below.
Step S110: performing structural modeling operation according to the acquired image to be detected to obtain a sample structural model; the image to be detected is a tomographic image of a concrete sample, and the concrete sample is autoclaved aerated concrete;
step S120: performing grid division on the sample structure model to obtain an original finite element model; the original finite element model is used for representing the mechanical structural characteristics of the concrete sample in an original state;
step S130: acquiring first pore data and second pore data of a concrete sample according to an image to be detected, and acquiring total porosity of the concrete sample according to the first pore data and the second pore data; the first pore data and the second pore data are pore data of the concrete sample under different scanning resolutions;
step S140: acquiring mineral composition data of a concrete sample; wherein the mineral composition data comprises mineral mechanical parameters of constituent minerals that make up the concrete sample;
step S150: and carrying out assignment operation on the original finite element model according to the total porosity and mineral composition data, and calculating to obtain the target mechanical parameters of the concrete sample.
According to the mechanical parameter calculation method provided by the embodiment of the application, the original finite element model is assigned by utilizing the actual total porosity and mineral composition data of the autoclaved aerated concrete, so that the calculated target mechanical parameter is more in line with the actual condition of the autoclaved aerated concrete, and the calculation precision of the mechanical parameter of the autoclaved aerated concrete is improved.
In step S110 of some embodiments, the image to be measured is a tomographic image of a concrete sample, and the concrete samples in the following embodiments are all samples of autoclaved aerated concrete. The image to be measured described above may be acquired by responding to a scanning operation of an electronic device such as an electronic computer tomography scanner (Computed Tomography, CT) or the like. The structure modeling operation refers to the construction of a digital imaging model of a two-dimensional plane structure or a three-dimensional structure of a concrete sample according to a tomographic image of the concrete sample, so as to obtain a sample structure model of the concrete sample. When the two-dimensional plane structure of the concrete sample is subjected to structural modeling, selecting an image of any fault of the concrete sample as an image to be detected; when the three-dimensional structure of the concrete sample is subjected to structural modeling, images of all faults of the concrete sample are required to be obtained as images to be detected. The sample structure model can characterize the physical composition structure of the concrete sample, wherein the physical composition structure comprises pores and a matrix. Referring to fig. 2A, fig. 2A is a schematic diagram of a sample structural model. Wherein, fig. 2A includes: the black part is the pores of the concrete sample, and the rest is the matrix of the concrete sample.
In step S120 of some embodiments, meshing specifically includes: and taking each component structure in the sample structure model as a solving domain, dividing the solving domain into a plurality of grid cells which are connected with each other and do not overlap with each other, and setting a mechanical field function for each grid cell. Through the grid division, the continuous mechanical field function of the whole concrete sample can be converted into the mechanical field function of a limited number of discrete grid units, so that an original finite element model is obtained. The original finite element model can represent the mechanical structural characteristics of the concrete sample in an original state through the mechanical field function of a limited number of discrete grid units, wherein the original state refers to a state that the concrete sample is not subjected to any pressure. Referring to fig. 2B, fig. 2B is a schematic diagram of an original finite element model. From fig. 2B several interconnected, non-overlapping grid cells can be observed, wherein the grid cells of the white part represent the pores and the grid cells of the grey part represent the matrix.
As shown in fig. 3, in some embodiments of the present application, the step S120 includes, but is not limited to, a step S310 and a step S320, which are described in detail below.
Step S310: obtaining a segmentation size according to a preset reference aggregation size and a preset reference size precision;
step S320: and carrying out grid division on the sample structure model according to the segmentation size to obtain an original finite element model.
In step S310 of some embodiments, the reference aggregate size is a size of a design required for the grid cell while ensuring high convergence of the grid dividing operation. The reference dimensional accuracy is the accuracy required to design the dimensions of the grid cells while ensuring that the mechanical field function corresponding to each grid cell is of low computational complexity. The dividing size required by the grid dividing operation can be determined by combining the reference aggregation size and the reference size precision.
In step S320 of some embodiments, the original finite element model obtained after the meshing according to the segmentation size has high convergence. Meanwhile, each grid unit in the original finite element model can reduce the calculation complexity of the mechanical parameters of the concrete sample.
In step S130 of some embodiments, the first pore data and the second pore data are two pore data obtained from the image to be measured obtained at different scanning resolutions, where the scanning order of the scanning resolution may specifically be selected to be in the order of micrometers. And calculating the total porosity of the concrete sample according to the acquired first pore data and second pore data.
As shown in fig. 4, in some embodiments of the present application, step S130 includes, but is not limited to, steps S410 to S430, which are described in detail below.
Step S410: acquiring first pore data of a concrete sample at a first scanning resolution according to an image to be detected;
step S420: acquiring second pore data of the concrete sample at a second scanning resolution according to the image to be detected; wherein the first scanning resolution is greater than the second scanning resolution;
step S430: and calculating the total porosity according to the first pore data and the second pore data.
In step S410 of some embodiments, the first scanning resolution is a scanning resolution selected by the electronic scanning device such as CT at the time of performing the scanning operation, and the first scanning resolution is selected in a range of 30 μm to 40 μm. The pore data acquired at the first scanning resolution is the first pore data.
In step S420 of some embodiments, the second scanning resolution is a scanning resolution selected by the electronic scanning device, such as CT, when performing the scanning operation, and the selected second scanning resolution needs to be smaller than the first scanning resolution. Wherein the second scanning resolution is selected in the range of 1 μm to 3 μm. And acquiring pore data at a second scanning resolution, namely second pore data.
In step S430 of some embodiments, the first pore data and the second pore data are averaged to obtain a total porosity of the concrete sample. Because the pore data acquired under two different scanning resolutions can more truly reflect the pore characteristics of the concrete sample, the calculation accuracy of the total porosity can be improved through the first pore data and the second pore data.
In step S140 of some embodiments, the minerals are materials constituting the matrix of the concrete sample, and for example, the mineral materials of the matrix may be constituent minerals used for autoclaved aerated concrete such as cement, lime, silica sand, and the like. The mineral composition data is data obtained by scanning the concrete sample in response to an X-ray diffractometer, and the mineral composition data includes mineral mechanical parameters of each constituent mineral in the concrete sample.
In step S150 of some embodiments, the assignment operation specifically includes: and assigning the obtained total porosity and mineral composition data into an original finite element model, and calculating by the original finite element model through the mechanical field functions of a limited number of discrete grid units to obtain the integral target mechanical parameters of the autoclaved aerated concrete sample.
As shown in fig. 5, in some embodiments of the present application, step S150 includes, but is not limited to, steps S510 to S530, which are described in detail below.
Step S510: performing assignment operation on the original finite element model according to the total porosity and mineral composition data to obtain a preliminary finite element model;
step S520: performing simulation compression treatment on the preliminary finite element model to obtain a target finite element model; the target finite element model is used for representing the mechanical structural characteristics of the concrete sample in a deformation state;
step S530: and calculating according to the target finite element model to obtain the target mechanical parameters.
In step S510 of some embodiments, a preliminary finite element model is used to characterize the mechanical parameters of the concrete sample as a whole in the original state. The assignment operation specifically includes: and assigning the obtained total porosity and mineral composition data to the mechanical field function of the original finite element model, so that the preliminary finite element model obtained after assignment can characterize the mechanical parameters of the whole concrete sample in the original state through the mechanical field function of the finite discrete grid units.
As shown in fig. 6, in some embodiments of the present application, step S510 includes, but is not limited to, step S610 and step S620, which are described in detail below.
Step S610: carrying out standardized treatment on the mineral composition data to obtain mineral standard data;
step S620: and carrying out assignment operation on the original finite element model according to the mineral standard data and the total porosity to obtain a preliminary finite element model.
In step S610 of some embodiments, the normalization process specifically includes: the mechanical parameters (such as elastic modulus, poisson ratio, compressive strength and the like) of each mineral material (such as cement, lime, silica sand and the like) composing the matrix are unified in numerical units, so that mineral standard data which can represent the mechanical parameters of the whole matrix are obtained. In the autoclaved aerated concrete sample, any mineral material of the matrix has little influence on the mechanical parameters of the whole concrete sample, but the matrix formed by all mineral materials has great influence on the mechanical parameters of the whole concrete sample, so that the mineral standard data obtained by standardized treatment can unify the mechanical parameters of each mineral material in the matrix, and meanwhile, the mineral standard data can reduce the complexity of assignment operation on an original finite element model.
In step S620 of some embodiments, the assigning operation specifically includes: and (3) assigning the obtained mineral standard data and the total porosity to a mechanical field function of the original finite element model, so that the initial finite element model obtained after assignment can represent the mechanical parameters of the whole concrete sample in the original state.
In step S520 of some embodiments, the analog compression process specifically includes: and applying simulated pressure to the preliminary finite element model by using software to simulate the mechanical structural characteristics of the concrete sample in a deformation state, thereby obtaining the target finite element model. Referring to fig. 2C, wherein the black lines are cracks that appear in the deformed state of the simulated concrete sample.
In step S530 of some embodiments, the target mechanical parameters of the concrete sample may be calculated by using the mechanical field functions of the finite number of discrete grid cells of the target finite element model.
Referring to fig. 7, curve a is a stress-strain curve of a concrete sample, and dotted line B is a schematic line of an elastic phase of the concrete sample during deformation. The line segment of the curve a, which coincides with the dashed line B, is the elastic phase of the concrete sample, and the stress increases with the increase of the strain. And then, the curve A is provided with an inflection point at which the stress starts to decrease along with the increase of the strain, and the line segment of the curve A after the inflection point is the yield stage of the concrete sample. The above-mentioned target mechanical parameters may be represented by the formation of the stress-strain curve, i.e., mechanical parameters such as elastic modulus, poisson's ratio, compressive strength, etc. of the concrete sample may be reflected by the stress-strain curve.
The embodiment of the application also provides a mechanical parameter calculation system, which comprises: a controller, an electronic computer tomography scanner and an X-ray diffractometer. Wherein the controller is used for executing the mechanical parameter calculation method described in any embodiment, the electronic computer tomography scanner is used for acquiring images to be detected, and the X-ray diffractometer is used for acquiring mineral composition data.
Therefore, the content in the mechanical parameter calculating method embodiment is applicable to the mechanical parameter calculating system embodiment, the specific function of the mechanical parameter calculating system embodiment is the same as that of the mechanical parameter calculating method embodiment, and the achieved beneficial effect is the same as that of the mechanical parameter calculating method embodiment.
As shown in fig. 8, an embodiment of the present application further provides a mechanical parameter calculating device, including:
the structure model construction module 110 is configured to perform a structure modeling operation according to the acquired image to be detected, so as to obtain a sample structure model; the image to be detected is a tomographic image of a concrete sample, and the concrete sample is autoclaved aerated concrete;
the meshing module 120 is configured to mesh the sample structure model to obtain an original finite element model; the original finite element model is used for representing the mechanical structural characteristics of the concrete sample in an original state;
the total porosity acquisition module 130 is configured to acquire first pore data and second pore data of a concrete sample according to an image to be measured, and obtain total porosity of the concrete sample according to the first pore data and the second pore data; the first pore data and the second pore data are pore data of the concrete sample under different scanning resolutions;
a mineral composition data acquisition module 140 for acquiring mineral composition data of the concrete sample; wherein the mineral composition data comprises mineral mechanical parameters of constituent minerals that make up the concrete sample;
the target mechanical parameter calculation module 150 is configured to perform assignment operation on the original finite element model according to the total porosity and the mineral composition data, and calculate a target mechanical parameter of the concrete sample.
An electronic device according to an embodiment of the present application is described in detail below with reference to fig. 9.
As shown in fig. 9, fig. 9 illustrates a hardware structure of an electronic device of another embodiment, the electronic device includes:
the processor 210 may be implemented by a general-purpose central processing unit (Central Processing Unit, CPU), a microprocessor, an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), or one or more integrated circuits, etc., for executing related programs to implement the technical solutions provided by the embodiments of the present disclosure;
the Memory 220 may be implemented in the form of a Read Only Memory (ROM), a static storage device, a dynamic storage device, or a random access Memory (Random Access Memory, RAM). Memory 220 may store an operating system and other application programs, and when implementing the technical solutions provided by the embodiments of the present disclosure through software or firmware, relevant program codes are stored in memory 220 and called by processor 210 to perform the mechanical parameter calculation method of the embodiments of the present disclosure;
an input/output interface 230 for implementing information input and output;
the communication interface 240 is configured to implement communication interaction between the present device and other devices, and may implement communication in a wired manner (e.g. USB, network cable, etc.), or may implement communication in a wireless manner (e.g. mobile network, WIFI, bluetooth, etc.);
bus 250 transfers information between the various components of the device (e.g., processor 210, memory 220, input/output interface 230, and communication interface 240);
wherein processor 210, memory 220, input/output interface 230, and communication interface 240 are communicatively coupled to each other within the device via bus 250.
Embodiments of the present application also provide a computer-readable storage medium storing computer-executable instructions for causing a computer to perform the mechanical parameter calculation method as described in any of the above embodiments.
It can be seen that the content in the above mechanical parameter calculating method embodiment is applicable to the embodiment of the present computer readable storage medium, and the functions specifically implemented by the embodiment of the present computer readable storage medium are the same as those of the embodiment of the mechanical parameter calculating method, and the beneficial effects achieved by the embodiment of the present computer readable storage medium are the same as those achieved by the embodiment of the mechanical parameter calculating method.
The above described apparatus embodiments are merely illustrative, wherein the units illustrated as separate components may or may not be physically separate, i.e. may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
Those of ordinary skill in the art will appreciate that all or some of the steps of the methods, systems, functional modules/units in the devices disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof.
The terms "first," "second," "third," "fourth," and the like in the description of the application and in the above figures, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be understood that in the present application, "at least one (item)" means one or more, and "a plurality" means two or more. "and/or" for describing the association relationship of the association object, the representation may have three relationships, for example, "a and/or B" may represent: only a, only B and both a and B are present, wherein a, B may be singular or plural. The character "/" generally indicates that the context-dependent object is an "or" relationship. "at least one of" or the like means any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one (one) of a, b or c may represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", wherein a, b, c may be single or plural.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of elements is merely a logical functional division, and there may be additional divisions of actual implementation, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, including multiple instructions for causing an electronic device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods of the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, an optical disk, or other various media capable of storing a program.
Preferred embodiments of the disclosed embodiments are described above with reference to the accompanying drawings, and thus do not limit the scope of the claims of the disclosed embodiments. Any modifications, equivalent substitutions and improvements made by those skilled in the art without departing from the scope and spirit of the embodiments of the present disclosure shall fall within the scope of the claims of the embodiments of the present disclosure.
The embodiments of the present application have been described in detail with reference to the accompanying drawings, but the present application is not limited to the above embodiments, and various changes can be made within the knowledge of one of ordinary skill in the art without departing from the spirit of the present application. Furthermore, embodiments of the application and features of the embodiments may be combined with each other without conflict.
Claims (9)
1. A method for calculating mechanical parameters of a concrete sample, the method comprising:
performing structural modeling operation according to the acquired image to be detected to obtain a sample structural model; the image to be detected is a tomographic image of a concrete sample, and the concrete sample is autoclaved aerated concrete;
performing grid division on the sample structure model to obtain an original finite element model; the original finite element model is used for representing mechanical structural characteristics of the concrete sample in an original state;
acquiring first pore data and second pore data of a concrete sample according to the image to be detected, and acquiring total porosity of the concrete sample according to the first pore data and the second pore data; wherein the first pore data and the second pore data are pore data of the concrete sample under different scanning resolutions;
acquiring mineral composition data of the concrete sample; wherein the mineral composition data comprises mineral mechanical parameters of constituent minerals comprising the concrete sample;
and carrying out assignment operation on the original finite element model according to the total porosity and the mineral composition data, and calculating to obtain the target mechanical parameters of the concrete sample.
2. The method for calculating mechanical parameters according to claim 1, wherein the calculating the target mechanical parameters of the concrete sample by performing assignment operation on the original finite element model according to the total porosity and the mineral composition data comprises:
performing assignment operation on the original finite element model according to the total porosity and the mineral composition data to obtain a preliminary finite element model;
performing simulation compression treatment on the preliminary finite element model to obtain a target finite element model; the target finite element model is used for representing mechanical structural characteristics of the concrete sample in a deformation state;
and calculating according to the target finite element model to obtain the target mechanical parameter.
3. The method for calculating mechanical parameters according to claim 2, wherein the obtaining first pore data and second pore data of the concrete sample according to the image to be measured, and obtaining total porosity of the concrete sample according to the first pore data and the second pore data, comprises:
acquiring the first pore data of the concrete sample at a first scanning resolution according to the image to be detected;
acquiring the second pore data of the concrete sample at a second scanning resolution according to the image to be detected; wherein the first scanning resolution is greater than the second scanning resolution;
and calculating the total porosity according to the first pore data and the second pore data.
4. A method according to claim 3, wherein said assigning the original finite element model according to the total porosity and the mineral composition data to obtain a preliminary finite element model comprises:
carrying out standardized treatment on the mineral composition data to obtain mineral standard data;
and carrying out assignment operation on the original finite element model according to the mineral standard data and the total porosity to obtain the preliminary finite element model.
5. The method for calculating mechanical parameters according to any one of claims 1 to 4, wherein the meshing of the sample structure model to obtain an original finite element model includes:
obtaining a segmentation size according to a preset reference aggregation size and a preset reference size precision;
and carrying out grid division on the sample structure model according to the segmentation size to obtain the original finite element model.
6. A mechanical parameter computing system, comprising:
a controller for performing the mechanical parameter calculation method according to any one of claims 1 to 5;
an electronic computed tomography scanner for acquiring the image to be measured;
and the X-ray diffractometer is used for acquiring the mineral composition data.
7. A mechanical parameter calculation device, comprising:
the structure model construction module is used for carrying out structure modeling operation according to the acquired image to be detected to obtain a sample structure model; the image to be detected is a tomographic image of a concrete sample, and the concrete sample is autoclaved aerated concrete;
the grid division module is used for carrying out grid division on the sample structure model to obtain an original finite element model; the original finite element model is used for representing mechanical structural characteristics of the concrete sample in an original state;
the total porosity acquisition module is used for acquiring first pore data and second pore data of a concrete sample according to the image to be detected, and acquiring the total porosity of the concrete sample according to the first pore data and the second pore data; wherein the first pore data and the second pore data are pore data of the concrete sample under different scanning resolutions;
the mineral composition data acquisition module is used for acquiring mineral composition data of the concrete sample; wherein the mineral composition data comprises mineral mechanical parameters of constituent minerals comprising the concrete sample;
and the target mechanical parameter calculation module is used for carrying out assignment operation on the original finite element model according to the total porosity and the mineral composition data, and calculating to obtain the target mechanical parameter of the concrete sample.
8. An electronic device, comprising:
at least one memory;
at least one processor;
at least one computer program;
the computer program is stored in the memory, and the processor executes the at least one computer program to implement the mechanical parameter calculation method as claimed in any one of claims 1 to 5.
9. Computer-readable storage medium, characterized in that the computer-readable storage medium stores computer-executable instructions for causing a computer to execute the mechanical parameter calculation method according to any one of claims 1 to 5.
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