CN116556718A - Repairing method, repairing device, repairing equipment and repairing storage medium for building structural component - Google Patents
Repairing method, repairing device, repairing equipment and repairing storage medium for building structural component Download PDFInfo
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- CN116556718A CN116556718A CN202310549255.2A CN202310549255A CN116556718A CN 116556718 A CN116556718 A CN 116556718A CN 202310549255 A CN202310549255 A CN 202310549255A CN 116556718 A CN116556718 A CN 116556718A
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- 238000000034 method Methods 0.000 title claims abstract description 38
- 230000006378 damage Effects 0.000 claims abstract description 114
- 238000001514 detection method Methods 0.000 claims abstract description 42
- 239000004567 concrete Substances 0.000 claims abstract description 29
- 229910000831 Steel Inorganic materials 0.000 claims abstract description 27
- 239000010959 steel Substances 0.000 claims abstract description 27
- 238000012549 training Methods 0.000 claims description 26
- 238000004590 computer program Methods 0.000 claims description 19
- 239000011241 protective layer Substances 0.000 claims description 12
- 230000008439 repair process Effects 0.000 claims description 11
- 238000010276 construction Methods 0.000 claims description 6
- 239000003822 epoxy resin Substances 0.000 claims description 4
- 239000002657 fibrous material Substances 0.000 claims description 4
- 229920000647 polyepoxide Polymers 0.000 claims description 4
- 238000009435 building construction Methods 0.000 claims 1
- 238000004458 analytical method Methods 0.000 abstract description 8
- 238000012360 testing method Methods 0.000 description 9
- 239000010410 layer Substances 0.000 description 4
- 230000006870 function Effects 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 239000011150 reinforced concrete Substances 0.000 description 2
- 230000002787 reinforcement Effects 0.000 description 2
- 238000003491 array Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 238000012804 iterative process Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
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- E—FIXED CONSTRUCTIONS
- E04—BUILDING
- E04G—SCAFFOLDING; FORMS; SHUTTERING; BUILDING IMPLEMENTS OR AIDS, OR THEIR USE; HANDLING BUILDING MATERIALS ON THE SITE; REPAIRING, BREAKING-UP OR OTHER WORK ON EXISTING BUILDINGS
- E04G23/00—Working measures on existing buildings
- E04G23/02—Repairing, e.g. filling cracks; Restoring; Altering; Enlarging
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/13—Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/27—Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
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Abstract
The invention discloses a repairing method, a repairing device, repairing equipment and a storage medium for building structural components, wherein the repairing method comprises the following steps: acquiring a plurality of self parameters of the building structural member to be repaired, inputting the plurality of self parameters of the building structural member to be repaired into a damage degree detection model, so that the damage degree detection model analyzes the elastoplasticity of the building structural member to be repaired according to the input parameters, and outputting the damage degree of the building structural member to be repaired; wherein the degree of damage comprises any one or a combination of the following: the damage form, the crack width of the concrete strain characteristic point and the crack width of the steel bar strain characteristic point; repairing the building structural member to be repaired according to the damage degree of the building structural member to be repaired; by implementing the invention, the analysis efficiency of the building structural member to be repaired can be improved.
Description
Technical Field
The present invention relates to the technical field of civil engineering and structural engineering, and in particular, to a method, apparatus, device and storage medium for repairing a building structural member.
Background
In the existing analysis of the damage form and crack width of the building structural member such as reinforced concrete, the elastoplasticity of the structural member is usually analyzed through finite element software, the analysis method is to obtain a self-constructed model based on the structural member level or the structural member material level through abstraction of test data, and then analyze the nonlinear performance of the target member such as elastoplasticity, strain and the like based on the self-constructed model.
Disclosure of Invention
The embodiment of the invention provides a repairing method, device, equipment and storage medium for building structural members, which can directly analyze damage degree through self parameters of the building structural members to be repaired and improve the analysis efficiency of the building structural members to be repaired.
An embodiment of the present invention provides a method for repairing a building structural member, including:
acquiring a plurality of self parameters of the building structural member to be repaired, inputting the plurality of self parameters of the building structural member to be repaired into a damage degree detection model, so that the damage degree detection model analyzes the elastoplasticity of the building structural member to be repaired according to the input parameters, and outputting the damage degree of the building structural member to be repaired; wherein the degree of damage comprises any one or a combination of the following: the damage form, the crack width of the concrete strain characteristic point and the crack width of the steel bar strain characteristic point;
repairing the building structural member to be repaired according to the damage degree of the building structural member to be repaired;
wherein the damage degree detection model is constructed by:
acquiring a plurality of self parameters and corresponding damage degrees of a sample building structural member;
and constructing an initial grid model, taking a plurality of self parameters of the sample building structural member and the corresponding damage degree as training samples, and training the initial grid model until the initial grid model converges to generate a damage degree detection model.
Further, the self-parameters include any one or a combination of the following:
concrete strength grade, longitudinal steel bar strength grade, stirrup strength grade, axial pressure ratio, section height, section width, member equivalent length, stirrup form, angle bar diameter, internal steel bar diameter, number of steel bars, protective layer thickness, longitudinal bar stirrup rate, area stirrup rate, volume stirrup rate, stirrup interval or number of stirrup limbs.
Further, training the initial grid model until the initial grid model converges, and generating a damage degree detection model, including:
and when the initial grid model is trained, in each iterative training, acquiring optimal network parameters of the initial grid model according to a grid search method so as to enable the initial grid model to converge and generate a damage degree detection model.
Further, the repairing the building structural component according to the damage degree of the building structural component to be repaired comprises the following steps:
and if the edge of the concrete protective layer of the building structural member to be repaired is not crushed, the longitudinal ribs of the building structural member to be repaired are bent, and the width of the crack of the building structural member to be repaired is smaller than a first threshold value, repairing the building structural member to be repaired by pouring epoxy resin or plastering on the surface of the building structural member to be repaired.
Further, the repairing the building structural component according to the damage degree of the building structural component to be repaired further comprises:
if the concrete protective layer of the building structural member to be repaired is not peeled off, the concrete in the core area is good, the crack width is larger than the first threshold value and smaller than the second threshold value, repairing the building structural member to be repaired by sticking fiber materials or adding steel plates on the surface.
On the basis of the method item embodiments, the invention correspondingly provides device item embodiments;
an embodiment of the present invention correspondingly provides a repairing device for a building structural component, including: the device comprises a damage degree detection module, a repair module and a damage degree model construction module;
the damage degree detection module is used for acquiring a plurality of self parameters of the building structural member to be repaired, inputting the plurality of self parameters of the building structural member to be repaired into the damage degree detection model, analyzing the elastoplasticity of the building structural member to be repaired according to the input parameters by the damage degree detection model, and outputting the damage degree of the building structural member to be repaired; wherein the degree of damage comprises any one or a combination of the following: the damage form, the crack width of the concrete strain characteristic point and the crack width of the steel bar strain characteristic point;
the repair module is used for repairing the building structural component to be repaired according to the damage degree of the building structural component to be repaired;
the damage degree model construction module is used for acquiring a plurality of self parameters and corresponding damage degrees of the sample building structural member; and constructing an initial grid model, taking a plurality of self parameters of the sample building structural member and the corresponding damage degree as training samples, and training the initial grid model until the initial grid model converges to generate a damage degree detection model.
Another embodiment of the present invention provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, where the processor executes the computer program to implement a method for repairing a building structural member according to the embodiment of the present invention.
Another embodiment of the present invention provides a storage medium, where the storage medium includes a stored computer program, where the computer program when executed controls a device where the storage medium is located to execute a method for repairing a building structural member according to the embodiment of the present invention.
The invention has the following beneficial effects: the invention provides a method, a device, equipment and a storage medium for repairing a building structural member, wherein the method analyzes self parameters of the building structural member to be repaired through a damage degree detection model, outputs the damage degree of the building structural member to be repaired through the model, and repairs the building structural member to be repaired based on the damage degree; the damage degree can be directly analyzed through the self parameters of the building structural member to be repaired, and the analysis efficiency of the building structural member to be repaired is improved.
Drawings
Fig. 1 is a schematic flow chart of a repairing method for a building structural component according to an embodiment of the invention.
Fig. 2 is a schematic structural view of a repairing device for building structural components according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, a method for repairing a building structural component according to an embodiment of the present invention includes:
step S1: acquiring a plurality of self parameters of the building structural member to be repaired, inputting the plurality of self parameters of the building structural member to be repaired into a damage degree detection model, so that the damage degree detection model analyzes the elastoplasticity of the building structural member to be repaired according to the input parameters, and outputting the damage degree of the building structural member to be repaired; wherein the degree of damage comprises any one or a combination of the following: the damage form, the crack width of the concrete strain characteristic point and the crack width of the steel bar strain characteristic point; wherein the damage degree detection model is constructed by: acquiring a plurality of self parameters and corresponding damage degrees of a sample building structural member; and constructing an initial grid model, taking a plurality of self parameters of the sample building structural member and the corresponding damage degree as training samples, and training the initial grid model until the initial grid model converges to generate a damage degree detection model.
And S2, repairing the building structural component to be repaired according to the damage degree of the building structural component to be repaired.
When the repairability of the building structural member is determined in the step S1, the one or more self parameters of the building structural member to be repaired can be obtained, and the multiple self parameters of the building structural member to be repaired are input into the damage degree detection model, so that the damage degree detection model outputs the damage degree of the corresponding building structural member to be repaired according to the input one or more self parameters; the damage degree can be one or more of a damage form, a crack width of a concrete strain characteristic point and a crack width of a steel bar strain characteristic point;
in a preferred embodiment, the self-parameters include any one or a combination of the following: concrete strength grade, longitudinal steel bar strength grade, stirrup strength grade, axial pressure ratio, section height, section width, member equivalent length, stirrup form, angle bar diameter, internal steel bar diameter, number of steel bars, protective layer thickness, longitudinal bar stirrup rate, area stirrup rate, volume stirrup rate, stirrup interval or number of stirrup limbs.
Specifically, the self-parameters for determining the damage degree of a building structural member include one or more of the self-parameters, and in the actual use process, the damage degree of the building structural member to be repaired can be analyzed by selecting the self-parameters corresponding to the building structural member to be repaired.
It should be added that, to facilitate the management of the self-parameters and the parameters related to the damage degree, a test database may be constructed to store the self-parameters and the parameters related to the damage degree; the test database was constructed by: collecting test data of structural members such as reinforced concrete beams, columns, shear walls and the like at home and abroad to form a test database; the fields of the test database are designed as follows: test piece numbering, concrete strength grade, longitudinal steel bar strength grade, stirrup strength grade, axial pressure ratio, section height, section width, member equivalent length, hooping form, angle bar diameter, internal steel bar diameter, number of steel bars, protective layer thickness, longitudinal steel bar reinforcement rate, area hooping rate, volume hooping rate, stirrup spacing, number of stirrup limbs, destruction form, crack width of concrete strain characteristic points and crack width of steel bar strain characteristic points; when the damage degree detection model is trained, corresponding parameters can be selected through the test database to serve as training samples of the damage degree detection model.
In a preferred embodiment, the training the initial grid model until the initial grid model converges to generate the damage degree detection model includes: and when the initial grid model is trained, in each iterative training, acquiring optimal network parameters of the initial grid model according to a grid search method so as to enable the initial grid model to converge and generate a damage degree detection model.
Specifically, an initial grid model is constructed, and the initial grid model comprises an input layer, a plurality of hidden layers and an output layer; acquiring a plurality of self parameters of a sample building structural member and corresponding damage degrees thereof as training samples, wherein the training samples can be selected through the test database; based on the selected training sample, taking self parameters as input and the damage degree as output, training an initial grid model; in each iterative training process, optimizing and adjusting the grid layer number of the model according to a grid searching method; meanwhile, cross verification is carried out according to the training sample and the network parameters of the initial grid model by a grid search method so as to obtain the optimal network parameters of the initial grid model in each iterative training process; continuously repeating the iterative process to train the initial grid model until the initial grid model converges to generate the damage degree detection model; the constructed damage degree detection model can analyze the elastoplasticity of the structural member based on the self parameters of the structural member to be repaired, and obtain elastoplasticity analysis results of the corresponding structural member, wherein the elastoplasticity analysis results comprise: a steel bar strain value, a concrete strain value and the like; and generating a damage degree including any one or more of a damage form, a crack width of the concrete strain characteristic point, and a crack width of the reinforcement strain characteristic point based on the elastoplastic analysis result.
And (2) repairing the building structural member to be repaired according to the damage degree of the building structural member to be repaired obtained in the step (S1).
In a preferred embodiment, the repairing the building structural component according to the damage degree of the building structural component comprises: and if the edge of the concrete protective layer of the building structural member to be repaired is not crushed, the longitudinal ribs of the building structural member to be repaired are bent, and the width of the crack of the building structural member to be repaired is smaller than a first threshold value, repairing the building structural member to be repaired by pouring epoxy resin or plastering on the surface of the building structural member to be repaired.
In another preferred embodiment, the repairing the building structural component according to the damage degree of the building structural component to be repaired further comprises: if the concrete protective layer of the building structural member to be repaired is not peeled off, the concrete in the core area is good, the crack width is larger than the first threshold value and smaller than the second threshold value, repairing the building structural member to be repaired by sticking fiber materials or adding steel plates on the surface.
Specifically, after obtaining the damage degree of the building structural member to be repaired, a corresponding repair strategy can be implemented based on the damage degree; when the edge of the concrete protective layer of the building structural member to be repaired is not crushed, the longitudinal ribs of the building structural member to be repaired are bent, and the width of the crack of the building structural member to be repaired is smaller than 1mm (namely the first threshold value), repairing the building structural member to be repaired by pouring epoxy resin or plastering the surface of the building structural member to be repaired; when the concrete protective layer of the building structural member to be repaired is not peeled off, the concrete in the core area is perfect, and the crack width is more than 1mm (namely the first threshold value) and less than 2mm (namely the second threshold value), the building structural member to be repaired can be reinforced by pasting fiber materials or adding steel plates on the surface of the building structural member to be repaired, so that the reinforced building structural member can not influence the subsequent use function.
It is to be added that the following operations can be performed based on the crack width of the building structural member; when the building structural member generates micro cracks and the tensile longitudinal ribs are not yielded, the building structural member can be considered to be still used normally without repair; when the longitudinal rib buckling or fracture phenomenon does not occur on the building structural member, the concrete in the core area is not crushed, and the residual crack width is larger than 2mm, the building structural member is repaired at the moment, and the repair cost required by the repair is less than the reconstruction cost; the building structural member may be partially dismantled as the longitudinal bars of the member are buckling or breaking and the core area concrete is crushed.
On the basis of the method item embodiments, the invention correspondingly provides the device item embodiments.
As shown in fig. 2, an embodiment of the present invention provides a repairing apparatus for a building structural component, including:
the device comprises a damage degree detection module, a repair module and a damage degree model construction module;
the damage degree detection module is used for acquiring a plurality of self parameters of the building structural member to be repaired, inputting the plurality of self parameters of the building structural member to be repaired into the damage degree detection model, analyzing the elastoplasticity of the building structural member to be repaired according to the input parameters by the damage degree detection model, and outputting the damage degree of the building structural member to be repaired; wherein the degree of damage comprises any one or a combination of the following: the damage form, the crack width of the concrete strain characteristic point and the crack width of the steel bar strain characteristic point;
the repair module is used for repairing the building structural component to be repaired according to the damage degree of the building structural component to be repaired;
the damage degree model construction module is used for acquiring a plurality of self parameters and corresponding damage degrees of the sample building structural member; and constructing an initial grid model, taking a plurality of self parameters of the sample building structural member and the corresponding damage degree as training samples, and training the initial grid model until the initial grid model converges to generate a damage degree detection model.
It should be noted that the above-described apparatus embodiments are merely illustrative, and 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 modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. In addition, in the drawings of the embodiment of the device provided by the invention, the connection relation between the modules represents that the modules have communication connection, and can be specifically implemented as one or more communication buses or signal lines. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
It will be clearly understood by those skilled in the art that, for convenience and brevity, the specific working process of the apparatus described above may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
On the basis of the method item embodiment, the invention correspondingly provides a terminal equipment item embodiment.
An embodiment of the present invention provides a terminal device including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, where the processor implements a method for repairing a building structural member according to any one of the present invention when the computer program is executed.
The terminal device may be a computing device such as a desktop computer, a notebook computer, a palm computer, a cloud server, etc. The terminal device may include, but is not limited to, a processor, a memory.
The processor may be a central processing unit (Central Processing Unit, CPU), other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, which is a control center of the terminal device, and which connects various parts of the entire terminal device using various interfaces and lines.
The memory may be used to store the computer program, and the processor may implement various functions of the terminal device by running or executing the computer program stored in the memory and invoking data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created according to the use of the cellular phone, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart Media Card (SMC), secure Digital (SD) Card, flash Card (Flash Card), at least one disk storage device, flash memory device, or other volatile solid-state storage device.
Based on the method item embodiments, the invention correspondingly provides storage medium item embodiments.
An embodiment of the present invention provides a storage medium including a stored computer program, where the computer program, when run, controls a device in which the storage medium is located to perform a method for repairing a building structural member according to any one of the present invention.
The storage medium is a computer readable storage medium, and the computer program is stored in the computer readable storage medium, and when executed by a processor, the computer program can implement the steps of the above-mentioned method embodiments. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth. It should be noted that the computer readable medium contains content that can be appropriately scaled according to the requirements of jurisdictions in which such content is subject to legislation and patent practice, such as in certain jurisdictions in which such content is subject to legislation and patent practice, the computer readable medium does not include electrical carrier signals and telecommunication signals.
While the foregoing is directed to the preferred embodiments of the present invention, it will be appreciated by those skilled in the art that changes and modifications may be made without departing from the principles of the invention, such changes and modifications are also intended to be within the scope of the invention.
Claims (8)
1. A method of repairing a building structural component, comprising:
acquiring a plurality of self parameters of the building structural member to be repaired, inputting the plurality of self parameters of the building structural member to be repaired into a damage degree detection model, so that the damage degree detection model analyzes the elastoplasticity of the building structural member to be repaired according to the input parameters, and outputting the damage degree of the building structural member to be repaired; wherein the degree of damage comprises any one or a combination of the following: the damage form, the crack width of the concrete strain characteristic point and the crack width of the steel bar strain characteristic point;
repairing the building structural member to be repaired according to the damage degree of the building structural member to be repaired;
wherein the damage degree detection model is constructed by:
acquiring a plurality of self parameters and corresponding damage degrees of a sample building structural member;
and constructing an initial grid model, taking a plurality of self parameters of the sample building structural member and the corresponding damage degree as training samples, and training the initial grid model until the initial grid model converges to generate a damage degree detection model.
2. A method of repairing a building structure according to claim 1, wherein said self-parameters include any one or a combination of the following:
concrete strength grade, longitudinal steel bar strength grade, stirrup strength grade, axial pressure ratio, section height, section width, member equivalent length, stirrup form, angle bar diameter, internal steel bar diameter, number of steel bars, protective layer thickness, longitudinal bar stirrup rate, area stirrup rate, volume stirrup rate, stirrup interval or number of stirrup limbs.
3. A method of repairing a building structure according to claim 1, wherein the training of the initial mesh model until the initial mesh model converges to generate the damage degree detection model comprises:
and when the initial grid model is trained, in each iterative training, acquiring optimal network parameters of the initial grid model according to a grid search method so as to enable the initial grid model to converge and generate a damage degree detection model.
4. A method of repairing a building structural component according to claim 1, wherein repairing the building structural component according to the degree of damage to the building structural component comprises:
and if the edge of the concrete protective layer of the building structural member to be repaired is not crushed, the longitudinal ribs of the building structural member to be repaired are bent, and the width of the crack of the building structural member to be repaired is smaller than a first threshold value, repairing the building structural member to be repaired by pouring epoxy resin or plastering on the surface of the building structural member to be repaired.
5. A method of repairing a building structural component according to claim 4, wherein said repairing the building structural component according to the degree of damage to the building structural component to be repaired further comprises:
if the concrete protective layer of the building structural member to be repaired is not peeled off, the concrete in the core area is good, the crack width is larger than the first threshold value and smaller than the second threshold value, repairing the building structural member to be repaired by sticking fiber materials or adding steel plates on the surface.
6. A prosthetic device for a building structural member, comprising: the device comprises a damage degree detection module, a repair module and a damage degree model construction module;
the damage degree detection module is used for acquiring a plurality of self parameters of the building structural member to be repaired, inputting the plurality of self parameters of the building structural member to be repaired into the damage degree detection model, analyzing the elastoplasticity of the building structural member to be repaired according to the input parameters by the damage degree detection model, and outputting the damage degree of the building structural member to be repaired; wherein the degree of damage comprises any one or a combination of the following: the damage form, the crack width of the concrete strain characteristic point and the crack width of the steel bar strain characteristic point;
the repair module is used for repairing the building structural component to be repaired according to the damage degree of the building structural component to be repaired;
the damage degree model construction module is used for acquiring a plurality of self parameters and corresponding damage degrees of the sample building structural member; and constructing an initial grid model, taking a plurality of self parameters of the sample building structural member and the corresponding damage degree as training samples, and training the initial grid model until the initial grid model converges to generate a damage degree detection model.
7. An apparatus comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, the processor implementing a method of repairing a building structure according to any one of claims 1 to 5 when the computer program is executed.
8. A storage medium comprising a stored computer program, wherein the computer program, when run, controls a device in which the storage medium is located to perform a method of repairing a building construction component according to any one of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310549255.2A CN116556718A (en) | 2023-05-16 | 2023-05-16 | Repairing method, repairing device, repairing equipment and repairing storage medium for building structural component |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310549255.2A CN116556718A (en) | 2023-05-16 | 2023-05-16 | Repairing method, repairing device, repairing equipment and repairing storage medium for building structural component |
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| CN116556718A true CN116556718A (en) | 2023-08-08 |
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| CN202310549255.2A Pending CN116556718A (en) | 2023-05-16 | 2023-05-16 | Repairing method, repairing device, repairing equipment and repairing storage medium for building structural component |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117574520A (en) * | 2024-01-15 | 2024-02-20 | 安徽吾兴新材料有限公司 | Method for designing reinforcing rib column member based on high-strength stirrup and high-strength concrete |
-
2023
- 2023-05-16 CN CN202310549255.2A patent/CN116556718A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117574520A (en) * | 2024-01-15 | 2024-02-20 | 安徽吾兴新材料有限公司 | Method for designing reinforcing rib column member based on high-strength stirrup and high-strength concrete |
| CN117574520B (en) * | 2024-01-15 | 2024-03-19 | 安徽吾兴新材料有限公司 | Method for designing reinforcing rib column member based on high-strength stirrup and high-strength concrete |
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