Beam-column joint pouring construction method using three-dimensional technology

Abstract

This invention discloses a method for constructing beam-column joints using 3D technology. The system employed in this method includes an information integration module, a sequential improvement module, and a virtual calibration module. The information integration module is used to input 3D images of the beam-column joints and various data of the poured concrete. The sequential improvement module is used to analyze the specific condition of the poured concrete after a period of solidification and to perform sequential improvements. The virtual calibration module is used to verify the feasibility of the sequentially improved poured concrete on the beam-column joints. The information integration module includes a joint morphology recording module, an infrared image measuring device, an ultrasonic detection device, and an image storage module. The joint morphology recording module is electrically connected to the image storage module. The joint morphology recording module is used to input 3D images of the beam-column joints into the 3D image architecture coordinate system and has the feature of real-time improvement.

Description

Technical Field

[0001] This invention relates to the field of building construction technology, specifically a method for casting beam-column joints using three-dimensional technology. Background Technology

[0002] Concrete pouring for beam-column joints is a crucial step in building construction, connecting beams and columns to enhance the overall stability and load-bearing capacity of the structure. For large beam-column joints, pouring the entire joint at once can lead to significant temperature differences and stress concentration within the concrete, potentially causing cracking or deformation. To mitigate these issues, a segmented pouring method can be employed, pouring the joint at intervals.

[0003] In existing beam-column joint construction, concrete pouring is carried out uniformly, resulting in a consistent concrete density distribution throughout the joint. However, due to differences in the structure and stress conditions of each beam-column joint, the stress distribution within the joint varies. During segmented pouring, some joints may develop concrete cracks due to insufficient strength, requiring repair and extending the construction period. Using high-density concrete throughout could lead to uneven pouring, porosity, and other quality issues. Therefore, designing a beam-column joint pouring construction method that utilizes 3D technology for real-time improvement is essential. Summary of the Invention

[0004] To address the aforementioned technical problems, this invention provides the following technical solution: a beam-column joint pouring construction method utilizing three-dimensional technology. The system employed in this method includes an information integration module, a sequential improvement module, and a virtual calibration module. The information integration module is used to input 3D images of the beam-column joint and various data of the poured concrete. The sequential improvement module is used to analyze the specific conditions of the poured concrete after a period of solidification and to perform sequential improvements. The virtual calibration module is used to verify the feasibility of the sequentially improved poured concrete on the beam-column joint.

[0005] According to the above technical solution, the information integration module includes a node morphology recording module, an infrared image measuring device, an ultrasonic detection device, and an image storage module. The node morphology recording module is electrically connected to the image storage module. The node morphology recording module is used to record 3D images of beam-column nodes into the three-dimensional image architecture coordinate system. The infrared image measuring device is used to scan the poured concrete using non-contact infrared scanning technology. The image storage module is used to store 3D images of different beam-column nodes and the three-dimensional image architecture of the poured concrete. The ultrasonic detection device is used to detect the pores and material distribution in the concrete at the pouring location.

[0006] The sequential improvement module includes a 3D image architecture module, a crack shape depiction module, a result analysis module, and a material composition adaptation module. The 3D image architecture module is electrically connected to an infrared image measuring device, and the image storage module is electrically connected to the result analysis module and the 3D image architecture module. The 3D image architecture module is used to establish a 3D technical result based on the scanned 3D image of the poured concrete. The crack shape depiction module is used to compare the 3D image architecture of the poured concrete after a period of solidification with that of the initially poured concrete to determine the location and length of the crack. The result analysis module is used to compare the changes in crack severity of all poured concrete after a period of solidification used in the current beam-column joint. The material composition adaptation module is used to change the material composition ratio of the newly added concrete based on the crack location and length, combined with the changes in crack severity.

[0007] The virtual calibration module includes a construction substitution module and a big data simulation module. The construction substitution module is electrically connected to the 3D image architecture module and the node morphology recording module. The construction substitution module is used to integrate the designed 3D image architecture of the poured concrete with the 3D image of the beam-column node. The big data simulation module is used to perform big data simulation on the actual application scenario of the poured concrete on the beam-column node. Based on previous data and new composition data, it simulates and predicts future crack conditions to prevent stress concentration from causing cracks, as well as problems such as porosity and uneven pouring.

[0008] According to the above technical solution, the method is specifically as follows:

[0009] S1. Preparation: Before pouring concrete, it is necessary to build and position the node formwork to ensure that the node position is accurate. Clean and scan the poured concrete after it has solidified for a period of time, establish a three-dimensional image structure of the poured concrete, and analyze its crack-prone locations.

[0010] S2. Preparation of concrete slurry: Before the new concrete is poured and formed, according to the design requirements and construction plan, the concrete, sand, gravel and other materials are mixed and prepared into slurry in a certain proportion. The slurry ratio needs to be adjusted according to the specific conditions and requirements of the node to ensure the fluidity and strength of the slurry. The three-dimensional model of the poured concrete is brought into the three-dimensional image model of the pouring node.

[0011] S3. Pouring construction: Inject the grout into the joint from the pouring port or pipe, evenly filling the entire joint space. Use a vibrator to compact the joint to remove air and ensure the compactness of the grout. Determine the material composition of the newly poured concrete according to the improvement goals to reduce the probability of cracks appearing first in easily cracked locations. After the specified time has elapsed since pouring, measure the actual situation of the cracks, porosity, and pouring uniformity.

[0012] S4. Conduct simulation and experimental verification: After ensuring that the new poured concrete is completely suitable for the pouring node and that the new poured concrete corresponds one-to-one with the pouring position in the 3D image of the pouring node, conduct big data simulation and experimental verification on the improved poured concrete to predict the crack generation, porosity and uneven pouring problems after real-world application.

[0013] According to the above technical solution, the specific method for establishing the stereoscopic image architecture in steps S1-S2 is as follows:

[0014] S1-1. Before using the poured concrete, scan it with an infrared image measuring device to obtain a preliminary three-dimensional image structure of the poured concrete, and save it in the image storage module. Also, include 3D images of beam and column joints so that the 3D images of beam and column joints can accurately show the pouring position of the poured concrete.

[0015] S2-1. Locate the location of the uncracked section of the poured concrete after a period of solidification, and record the precise pouring location at the beam-column joint. Clean the poured concrete after a period of solidification and expose its outer surface completely to the camera. Use an infrared image measuring device to scan the entire concrete and establish a three-dimensional image framework of the poured concrete after a period of solidification. Compare the three-dimensional image framework with the preliminary three-dimensional image framework of the poured concrete to locate the cracks and calculate the size of the crack coverage area.

[0016] According to the above technical solution, the specific method for determining the material composition of the poured concrete in step S3 is as follows:

[0017] S3-1, Preliminary qualitative analysis: First, determine the preliminary density distribution of the newly added concrete. The preliminary material composition ratio is given based on industry experience.

[0018] S3-2, Material Composition Update: Based on the current material composition ratio, and by importing the 3D image architecture of the concrete at the current pouring node, the newly added concrete with different components is marked to update the material composition ratio.

[0019] S3-3. Sequential Improvement: After the cement begins to solidify and has been left for a specified time, the composition of the newly added concrete material is adaptively adjusted before the next pour to reduce the size of the crack coverage area as expected.

[0020] According to the above technical solution, the specific methods for increasing and decreasing the material density of the newly poured concrete in step S3-3 are as follows:

[0021] ;

[0022] In the formula The required material density for a specific pouring node in the currently being added concrete. The historical material density for the last of these cast-in-place nodes. The size of the crack coverage area at the last of these poured nodes. This refers to the size of the crack coverage area at the second-to-last pouring node. The coefficient representing the influence of changes in the pouring nodes is a constant. is the influence coefficient of the easily cracked coverage area, which is a constant.

[0023] According to the above technical solution, in step S4, if the improved poured concrete is used and the simulated crack results show a decreasing trend, but there are problems such as pores and uneven pouring that exceed the normal range, it means that the material density of the initially designed poured concrete is too high. In this case, the material density of this pouring node will be reduced to a material density that the poured concrete can withstand without pores and uneven pouring.

[0024] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: The present invention measures the size of the crack coverage area by detecting the concrete pouring nodes at different construction stages. Based on this, the proportion of material components in the subsequent newly added concrete is adjusted so that the material density can be increased adaptively. Furthermore, big data simulation is performed on this density material to prevent problems such as porosity and uneven density distribution due to excessive material density. Attached Figure Description

[0025] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0026] Figure 1 This is a schematic diagram of the module structure of the present invention. Detailed Implementation

[0027] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0028] Please see Figure 1The present invention provides a technical solution: a beam-column joint pouring construction method using three-dimensional technology. The system used in this method includes an information integration module, a sequential improvement module, and a virtual calibration module. The information integration module is used to input 3D images of the beam-column joint and input various data of the poured concrete. The sequential improvement module is used to analyze the specific situation of the poured concrete after a period of solidification and to make sequential improvements. The virtual calibration module is used to verify the feasibility of the sequentially improved poured concrete on the beam-column joint.

[0029] The information integration module includes a node morphology recording module, an infrared image measuring device, an ultrasonic detection device, and an image storage module. The node morphology recording module and the image storage module are electrically connected. The node morphology recording module is used to record 3D images of beam-column nodes into the three-dimensional image architecture coordinate system. The infrared image measuring device is used to scan the poured concrete using non-contact infrared scanning technology. The image storage module is used to store 3D images of different beam-column nodes and the three-dimensional image architecture of the poured concrete. The ultrasonic detection device is used to detect the pores and material distribution in the concrete at the pouring location.

[0030] The progressive improvement module includes a 3D image architecture module, a crack shape description module, a result analysis module, and a material composition adaptation module. The 3D image architecture module is electrically connected to the infrared image measurement device, and the image storage module is electrically connected to the result analysis module and the 3D image architecture module. The 3D image architecture module is used to establish 3D technical results based on the scanned 3D images of the poured concrete. The crack shape description module is used to compare the 3D image architectures of the poured concrete after a period of solidification with those of the initially poured concrete to determine the location and length of cracks. The result analysis module is used to compare the changes in crack severity of all poured concrete after a period of solidification used in the current beam-column joint. The material composition adaptation module is used to change the material composition ratio of newly added concrete based on the crack location and length, combined with the changes in crack severity.

[0031] The virtual calibration module includes a construction substitution module and a big data simulation module. The construction substitution module is electrically connected to the 3D image architecture module and the node morphology recording module. The construction substitution module is used to integrate the designed 3D image architecture of the poured concrete with the 3D image of the beam-column node. The big data simulation module is used to perform big data simulation on the actual application scenario of the poured concrete on the beam-column node. Based on previous data and new composition data, it simulates and predicts the future crack situation to prevent stress concentration from causing cracks, as well as problems such as porosity and uneven pouring.

[0032] The method is as follows:

[0033] S1. Preparation: Before pouring concrete, it is necessary to build and position the node formwork to ensure that the node position is accurate. Clean and scan the poured concrete after it has solidified for a period of time, establish a three-dimensional image structure of the poured concrete, and analyze its crack-prone locations.

[0034] S2. Preparation of concrete slurry: Before the new concrete is poured and formed, according to the design requirements and construction plan, the concrete, sand, gravel and other materials are mixed and prepared into slurry in a certain proportion. The slurry ratio needs to be adjusted according to the specific conditions and requirements of the node to ensure the fluidity and strength of the slurry. The three-dimensional model of the poured concrete is brought into the three-dimensional image model of the pouring node.

[0035] S3. Pouring construction: Inject the grout into the joint from the pouring port or pipe, evenly filling the entire joint space. Use a vibrator to compact the joint to remove air and ensure the compactness of the grout. Determine the material composition of the newly poured concrete according to the improvement goals to reduce the probability of cracks appearing first in easily cracked locations. After the specified time has elapsed since pouring, measure the actual situation of the cracks, porosity, and pouring uniformity.

[0036] As a supplement to the detection principle: Pore size and casting uniformity both have fixed evaluation criteria. When pores exist in a material, ultrasonic waves interact with them as they propagate, causing changes in the propagation speed. Generally, the larger the pores, the slower the ultrasonic waves travel. This is because pores cause scattering and reflection of ultrasonic waves, increasing the path length of the waves and reducing their propagation speed. Therefore, by measuring the change in the propagation speed of ultrasonic waves in a material, the size of the pores inside the material can be indirectly inferred.

[0037] When ultrasound passes through a material, it interacts with changes in the material's density, causing a phase shift. Specifically, when ultrasound propagates from a region of higher density to a region of lower density, it refracts, resulting in a phase delay. Conversely, when ultrasound propagates from a region of lower density to a region of higher density, it is reflected, resulting in a phase reversal. Therefore, changes in the propagation characteristics of ultrasound are used to determine whether a standard is met.

[0038] S4. Conduct simulation and experimental verification: After ensuring that the new poured concrete is completely suitable for the pouring node and that the new poured concrete corresponds one-to-one with the pouring position in the 3D image of the pouring node, conduct big data simulation and experimental verification on the improved poured concrete to predict the crack generation, porosity and uneven pouring problems after real-world application.

[0039] In steps S1-S2 above, the specific method for establishing the stereoscopic image architecture is as follows:

[0040] S1-1. Before using the poured concrete, scan it with an infrared image measuring device to obtain a preliminary three-dimensional image structure of the poured concrete, and save it in the image storage module. Also, include 3D images of beam and column joints so that the 3D images of beam and column joints can accurately show the pouring position of the poured concrete.

[0041] S2-1. Locate the location of the concrete that has been poured for a period of time without cracks, and record the precise pouring location at the beam-column joint. Clean the concrete that has been poured for a period of time and expose its outer surface completely to the camera. Use an infrared image measuring device to scan the entire concrete and establish a three-dimensional image framework of the concrete that has been poured for a period of time. Compare the three-dimensional image framework with the preliminary three-dimensional image framework of the poured concrete to locate the cracks and calculate the size of the crack coverage area.

[0042] In step S3 above, the specific method for determining the material composition of the poured concrete is as follows:

[0043] S3-1, Preliminary qualitative analysis: First, determine the preliminary density distribution of the newly added concrete. The preliminary material composition ratio is given based on industry experience.

[0044] S3-2, Material Composition Update: Based on the current material composition ratio, and by importing the 3D image architecture of the concrete at the current pouring node, the newly added concrete with different components is marked to update the material composition ratio.

[0045] S3-3, Sequential Improvement: After the cement begins to solidify and has been left for a specified time, the composition of the newly added concrete material is adaptively adjusted before the next pour so that the size of the crack coverage area is as expected.

[0046] In step S3-3 above, the sequential improvement includes two aspects:

[0047] a) The first is the change of the three-dimensional image structure of the pouring node. By calculating the change of the crack coverage area of ​​the pouring node at different times as the construction process progresses, it can be determined whether the crack coverage area is shrinking or still expanding.

[0048] b. The second is the change in the material composition of the poured concrete. Based on the location of the pouring node and the coverage area, combined with the stress limit state, determine the areas where the material density needs to be increased or decreased, and then change the material composition of the poured concrete.

[0049] In step S3-3 above, the specific methods for increasing and decreasing the density of the newly poured concrete are as follows:

[0050] ;

[0051] In the formula The required material density for a specific pouring node in the currently being added concrete. The historical material density for the last of these cast-in-place nodes. The size of the crack coverage area at the last of these poured nodes. This refers to the size of the crack coverage area at the second-to-last pouring node. The coefficient representing the influence of changes in the pouring nodes is a constant. is the influence coefficient of easily cracked coverage area, which is a constant;

[0052] In step S4 above, if the improved poured concrete is used in a big data simulation, and the simulated crack results show a decreasing trend, but there are problems such as pores and uneven pouring that exceed the normal range, it means that the material density of the initially designed poured concrete is too high. In this case, the material density of this pouring node will be reduced to a material density that the poured concrete can withstand without pores and uneven pouring.

[0053] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0054] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for pouring a beam-column joint using a three-dimensional technique, characterized by: This method employs a pouring construction system, which includes an information integration module, a sequential improvement module, and a virtual calibration module. The information integration module is used to input 3D images of beam-column joints and various data of the poured concrete. The sequential improvement module is used to analyze the specific condition of the poured concrete after a period of solidification and to make sequential improvements. The virtual calibration module is used to verify the feasibility of the sequentially improved poured concrete on beam-column joints. The information integration module includes a node morphology recording module, an infrared image measuring device, an ultrasonic detection device, and an image storage module. The node morphology recording module is electrically connected to the image storage module. The node morphology recording module is used to record 3D images of beam-column nodes into the three-dimensional image architecture coordinate system. The infrared image measuring device is used to scan the poured concrete using non-contact infrared scanning technology. The image storage module is used to store 3D images of different beam-column nodes and the three-dimensional image architecture of the poured concrete. The ultrasonic detection device is used to detect the porosity and material distribution of the concrete at the pouring location. The sequential improvement module includes a 3D image architecture module, a crack shape depiction module, a result analysis module, and a material composition adaptation module. The 3D image architecture module is electrically connected to an infrared image measuring device, and the image storage module is electrically connected to the result analysis module and the 3D image architecture module. The 3D image architecture module is used to establish a 3D technical result based on the scanned 3D image of the poured concrete. The crack shape depiction module is used to compare the 3D image architecture of the poured concrete after a period of solidification with that of the initially poured concrete to determine the location and length of the crack. The result analysis module is used to compare the changes in crack severity of all poured concrete after a period of solidification used in the current beam-column joint. The material composition adaptation module is used to change the material composition ratio of the newly added concrete based on the crack location and length, combined with the changes in crack severity. The virtual calibration module includes a construction substitution module and a big data simulation module. The construction substitution module is electrically connected to the 3D image architecture module and the node morphology recording module. The construction substitution module is used to integrate the designed 3D image architecture of the poured concrete with the 3D image of the beam-column node. The big data simulation module is used to perform big data simulation on the actual application scenario of the poured concrete on the beam-column node. Based on previous data and new composition data, it simulates and predicts the future crack situation to prevent stress concentration from causing cracks, as well as problems such as porosity and uneven pouring. The method is as follows: S1. Preparation: Before pouring concrete, it is necessary to build and position the node formwork to ensure that the node position is accurate. Clean and scan the poured concrete after it has solidified for a period of time, establish a three-dimensional image structure of the poured concrete, and analyze its crack-prone locations. S2. Preparation of concrete slurry: Before the new concrete is poured and formed, according to the design requirements and construction plan, the concrete, sand and gravel materials are mixed and prepared into slurry in a certain proportion. The slurry ratio needs to be adjusted according to the specific conditions and requirements of the node to ensure the fluidity and strength of the slurry. The three-dimensional model of the poured concrete is brought into the three-dimensional image model of the pouring node. S3. Pouring construction: Inject the grout into the joint from the pouring port or pipe, evenly filling the entire joint space. Use a vibrator to compact the joint to remove air and ensure the compactness of the grout. Determine the material composition of the newly poured concrete according to the improvement goals to reduce the probability of cracks appearing first in easily cracked locations. After the specified time has elapsed since pouring, measure the actual situation of the cracks, porosity, and pouring uniformity. S4. Conduct simulation and experimental verification: After ensuring that the new poured concrete is completely suitable for the pouring node and that the new poured concrete corresponds one-to-one with the pouring position in the 3D image of the pouring node, conduct big data simulation and experimental verification on the improved poured concrete to predict the crack generation, porosity and uneven pouring problems after real-world application.

2. The beam-column joint casting construction method using three-dimensional technology according to claim 1, characterized in that: In steps S1-S2 above, the specific method for establishing the stereoscopic image architecture is as follows: S1-1. Before using the poured concrete, scan it with an infrared image measuring device to obtain a preliminary three-dimensional image structure of the poured concrete, and save it in the image storage module. Also, record the 3D images of beam and column nodes so that the 3D images of beam and column nodes can accurately show the pouring position of the poured concrete. S2-1. Locate the location of the uncracked section of the poured concrete after a period of solidification, and record the precise pouring location at the beam-column joint. Clean the poured concrete after a period of solidification and expose its outer surface completely to the camera. Use an infrared image measuring device to scan the entire concrete and establish a three-dimensional image framework of the poured concrete after a period of solidification. Compare the three-dimensional image framework with the preliminary three-dimensional image framework of the poured concrete to locate the cracks and calculate the size of the crack coverage area.

3. The beam-column joint casting construction method using three-dimensional technology according to claim 2, characterized in that: In step S3 above, the specific method for determining the material composition of the poured concrete is as follows: S3-1, Preliminary qualitative analysis: First, determine the preliminary density distribution of the newly added concrete. The preliminary material composition ratio is given based on industry experience. S3-2, Material Composition Update: Based on the current material composition ratio, and by importing the 3D image architecture of the concrete at the current pouring node, the newly added concrete with different components is marked to update the material composition ratio. S3-3. Sequential Improvement: After the cement begins to solidify and has been left for a specified time, the composition of the newly added concrete material is adaptively adjusted before the next pour, so that the size of the crack coverage area is reduced as expected.

4. The beam-column joint casting construction method using three-dimensional technology according to claim 3, characterized in that: In step S3-3 above, the sequential improvement includes two aspects: a) The first is the change of the three-dimensional image structure of the pouring node. By calculating the change of the crack coverage area of ​​the pouring node at different times as the construction process progresses, it can be determined whether the crack coverage area is shrinking or still expanding. b. The second is the change in the material composition of the poured concrete. Based on the location of the pouring node and the coverage area, combined with the stress limit state, determine the areas where the material density needs to be increased or decreased, and then change the material composition of the poured concrete.

5. The beam-column joint casting construction method using three-dimensional technology according to claim 4, characterized in that: In step S3-3 above, the specific methods for increasing and decreasing the density of the newly poured concrete are as follows: ； In the formula The required material density for a specific pouring node in the currently being added concrete. The historical material density for the last of these cast-in-place nodes. The size of the crack coverage area at the last of these poured nodes. This refers to the size of the crack coverage area at the second-to-last pouring node. The coefficient representing the influence of changes in the pouring nodes is a constant. is the influence coefficient of the easily cracked coverage area, which is a constant.

6. The beam-column joint casting construction method using three-dimensional technology according to claim 5, characterized in that: In step S4 above, if the improved poured concrete is used in a big data simulation, and the simulated crack results show a decreasing trend, but there are problems such as pores and uneven pouring that exceed the normal range, it means that the material density of the initially designed poured concrete is too high. In this case, the material density of this pouring node will be reduced to a material density that the poured concrete can withstand without pores and uneven pouring.

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