An intelligent detection method for the density of ultra-high performance concrete structures

Abstract

The present invention relates to an intelligent detection method for the structural density of ultra-high performance concrete, comprising the following steps: 1. preparing UHPC and uniformly cutting the layer into n layers; 2. performing image recognition processing on each layer surface to determine the porosity of each layer surface; 3. for U-group steel fiber UHPC and P-group polymer fiber UHPC, respectively calculating the average porosity and porosity dispersion of each layer surface, and respectively calculating the average porosity and porosity dispersion of their overall structures; 4. based on the porosity and dispersion data of the UHPC surface layer, respectively obtaining a fitting equation for the average porosity of the UHPC overall structure and a fitting equation for the porosity dispersion of the UHPC overall structure for the U-group steel fiber UHPC and the P-group polymer fiber UHPC; 5. combining the fitting equations to establish a rule for determining the structural density of the UHPC; and 6. realizing intelligent detection of the overall structural density of the UHPC.

Description

Technical Field

[0001] The present invention belongs to the technical field of building construction, and in particular relates to an intelligent detection method for the density of ultra-high performance concrete structures. Background Art

[0002] Ultra-high-performance concrete (UHPC) is gaining increasing application in numerous fields, including municipal administration, construction, and wind power, due to its excellent workability, mechanical properties, and durability. Traditional methods for testing the density of UHPC primarily include ultrasonic testing and core drilling.

[0003] The ultrasonic testing method mainly uses the propagation characteristics of ultrasonic waves in concrete to evaluate density. It has the characteristics of non-destructive testing, but it has the following shortcomings: 1) It requires a large number of measuring points and repeated operations. Because this method only tests the density of the axial range between two measuring points each time and has certain requirements for the surface condition of the concrete, it cannot quickly and effectively identify the overall density of concrete; 2) It has high requirements for testing equipment and operators, resulting in large operating errors and large discreteness of test results.

[0004] The core drilling method uses concrete core samples to detect defects such as pores and cracks inside the concrete. However, it has the following shortcomings: 1) It is a random sampling test, which is highly random and lacks representativeness, and cannot reflect the overall density of the concrete; 2) It is a destructive test, which will cause local damage to the structure and affect the structural safety to a certain extent.

[0005] Therefore, how to provide an intelligent detection method for the density of ultra-high performance concrete structures is a technical problem that technical personnel in this field urgently need to solve. Summary of the Invention

[0006] In response to the problem that traditional ultra-high performance concrete density detection methods are destructive detection or the detection results are not accurate, the present invention proposes an intelligent detection method for ultra-high performance concrete structure density.

[0007] In order to solve the above technical problems, the present invention includes the following technical solutions:

[0008] An intelligent detection method for the density of ultra-high performance concrete structures comprises the following steps:

[0009] Step S1: preparing UHPC components of different strength grades under the same proportion conditions corresponding to actual engineering, with the structural dimensions of all components being consistent, including group u steel fiber UHPC and group p polymer fiber UHPC;

[0010] Step S2: uniformly cutting and layering the structure of each UHPC component;

[0011] Step S3: Use a high-resolution industrial camera to photograph each layer of the UHPC component after it is cut and layered, to obtain images of each layer, and ensure that the images are clear and have sufficient details;

[0012] Step S4: Use image recognition software to process the images of each layer, identify the pore area, and calculate the porosity of each layer of the steel fiber and polymer fiber UHPC structure, which are recorded as N and M respectively;

[0013] Step S5: The average porosity of each layer of the UHPC structure is recorded as K, where the corresponding porosity of steel fiber UHPC is recorded as Ku, and the corresponding porosity of polymer fiber UHPC is recorded as Kp; the dispersion degree of porosity of each layer of the UHPC structure is recorded as R, and is characterized by the standard deviation formula, where the corresponding porosity of steel fiber UHPC is recorded as Ru, and the corresponding porosity of polymer fiber UHPC is recorded as Rp;

[0014] Step S6: For the u-group steel fiber UHPC, the average surface porosity Ku1, Ku2, ..., Kun of each layer 1 to n, and the dispersion of the surface porosity Ru1, Ru2, ..., Run of each layer 1 to n are calculated; for the p-group polymer fiber UHPC, the average surface porosity Kp1, Kp2, ..., Kpn of each layer 1 to n, and the dispersion of the surface porosity Rp1, Rp2, ..., Rpn of each layer 1 to n are calculated;

[0015] Step S7: record the average porosity of the UHPC structure as , where steel fiber UHPC corresponds to , polymer fiber UHPC is recorded as ; The porosity dispersion of the UHPC structure is recorded as , where steel fiber UHPC corresponds to , polymer fiber UHPC is recorded as ;

[0016] Step S8: The average porosity fitting equation and the discrete degree fitting equation of the UHPC overall structure are obtained by Matlab equation fitting respectively. According to the probability statistics theory, the confidence level is set to 90%, and the corresponding Z score is obtained from the Z score table as 1.645 to establish the UHPC structural density determination rule: 1) When When , it indicates that the UHPC structure is dense; 2) when When , it indicates that the UHPC structure is denser; 3) When When , it indicates that the UHPC structure is not dense.

[0017] Furthermore, the step S4 includes: recording the porosity of each layer of the first group of steel fiber UHPC structures as N 11 , N 12, N 13 …, N 1n The porosity of each layer of the second group of steel fiber UHPC structures is N 21 , N 22 , N 23 …, N 2n ; By analogy, the porosity of each layer of the u-th group steel fiber UHPC structure is N u1 , N u2 , N u3 …, N un ;

[0018] Similarly, the porosity of each layer of the first group of polymer fiber UHPC structures is M 11 , M 12 , M 13 …, M 1n The porosity of each layer of the polymer fiber UHPC structure in group 2 is M 21 , M 22 , M 23 …, M 2n ; By analogy, the porosity of each layer of the p-th group polymer fiber UHPC structure is M p1 , M p2 , M p3 …, M pn .

[0019] Furthermore, step S6 includes:

[0020] For group u steel fiber UHPC, the average porosity of the first layer is recorded as

[0021] K u1 =(N 11 +N 21 +…+N u1 )÷u, the porosity dispersion of the first layer is recorded as R u1 = For the p-group polymer fiber UHPC, the average porosity of the first layer is recorded as K p1 =(M 11 +M 21 +…+M p1 )÷p, the porosity dispersion of the first layer is recorded as R p1 = ;

[0022] For group u steel fiber UHPC, the average porosity of the second layer is recorded as

[0023] K u2 =(N 12 +N 22 +…+N u2)÷u, the porosity dispersion of the second layer is recorded as R u2 = For the p-group polymer fiber UHPC, the average porosity of the second layer is recorded as

[0024] K p2 =(M 12 +M 22 +…+M p2 )÷p, the porosity dispersion of the second layer is recorded as R p2 = ;

[0025] For group u steel fiber UHPC, the average porosity of the nth layer is recorded as

[0026] Kun=(N 1n +N 2n +…+N un )÷u, the porosity dispersion of the nth layer is recorded as

[0027] For p-group polymer fiber UHPC, the average porosity of the nth layer is recorded as K pn =(M 1n +M 2n +…+M pn )÷p, the porosity dispersion of the nth layer is recorded as

[0028] .

[0029] Furthermore, the step S8 includes:

[0030] For the u group of steel fiber UHPC, the average porosity of the 1~n layer UHPC overall structure , the porosity dispersion of the 1~n-layer UHPC overall structure For the p-group polymer fiber UHPC, the average porosity of the 1~n-layer UHPC overall structure is , the porosity dispersion of the 1~n-layer UHPC overall structure ;

[0031] For the u-group steel fiber UHPC, the fitting equation of the average porosity of the 1-n-layer UHPC overall structure and the average porosity of the surface layer was obtained by Matlab equation fitting, which is recorded as:

[0032] ;

[0033] The fitting equation of the porosity dispersion of the 1~n-layer UHPC overall structure and the porosity dispersion of the surface layer is expressed as:

[0034] ;

[0035] For the p-group polymer fiber UHPC, the fitting equation of the average porosity of the 1-n-layer UHPC overall structure and the average porosity of the surface layer was obtained by Matlab equation fitting, which is expressed as: = ;

[0036] The fitting equation of the porosity dispersion of the 1-n layers of UHPC overall structure and the porosity dispersion of the first layer (surface layer) is expressed as:

[0037] = .

[0038] Furthermore, for different types of UHPC structures, by using image recognition or other related technologies to obtain basic porosity data of the UHPC structure surface layer, the average porosity of the UHPC overall structure and its degree of dispersion can be accurately calculated. Combined with the UHPC structure density determination rule, the overall density of the UHPC structure can be non-destructively determined.

[0039] Compared with the prior art, the present invention has the following beneficial effects:

[0040] The present invention provides an intelligent detection method for the density of ultra-high performance concrete structures, comprising: first, preparing an ultra-high performance concrete (UHPC) structure and evenly cutting the UHPC structure into n layers; second, performing image recognition processing on each layer surface of each structure to determine the porosity of each layer surface; third, recording the average porosity of each layer surface of the UHPC structure as K, and the degree of dispersion of the porosity of each layer surface as R; fourth, for u groups of steel fiber UHPC, calculating K u1 , K u2 ,…,K un and R u1 , R u2 ,…,R un ; For group p polymer fiber UHPC, K is calculated p1 , K p2 ,…,K pn and R p1 , R p2 ,…,R pn ; 5. The average porosity of the UHPC structure is recorded as The dispersion degree of the overall structure porosity is recorded as ; 6. For group u steel fiber UHPC, it is calculated and For group p polymer fiber UHPC, it is calculated and ; 7. For group u steel fiber UHPC, the fitting equation for the average porosity of the UHPC overall structure is , the fitting equation for the discrete degree of porosity of the UHPC overall structure is: For the p-group polymer fiber UHPC, the fitting equation for the average porosity of the UHPC overall structure is: ; The fitting equation for the discrete degree of porosity of the UHPC overall structure is: ; Eighth, combine the above fitting equations to establish a rule for determining the density of the UHPC structure; Nine, realize the intelligent detection of the overall structural density of the UHPC. The intelligent detection method for the density of the ultra-high performance concrete structure of the present invention establishes a fitting equation for the average porosity of the overall structure of different types of UHPC and its degree of dispersion, and also establishes a rule for determining the density of the UHPC structure. Based on this, for different types of UHPC structures, technicians only need to use image recognition or related technologies to obtain the basic data of the porosity of the surface layer of the UHPC structure, and they can accurately calculate the average porosity of the overall structure of the UHPC and its degree of dispersion, and realize the intelligent, efficient, accurate and non-destructive determination of the overall structural density of the UHPC, meeting the urgent needs of actual engineering for the quality control of concrete structures and promoting the high-quality development of the industry. The application of the technical method of the present invention can not only greatly improve the accuracy and reliability of the detection of the density of concrete structures and ensure the safety of concrete structures, but also has a simple and easy operation process, low detection cost, high degree of digitization and intelligence, and wide applicability. Therefore, it has broad market promotion and application prospects. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 Schematic diagram of the process of an intelligent detection method for the density of ultra-high performance concrete structure in one embodiment of the present invention. DETAILED DESCRIPTION

[0042] The following is a further detailed description of an intelligent detection method for the density of ultra-high performance concrete structures provided by the present invention in conjunction with the accompanying drawings and specific embodiments. The advantages and features of the present invention will become more apparent from the following description.

[0043] Example 1

[0044] The following combination Figure 1 , a detailed description of the intelligent detection method for the density of ultra-high performance concrete structures of the present invention is given.

[0045] An intelligent detection method for the density of ultra-high performance concrete structures comprises the following steps:

[0046] Step S1: Prepare UHPC components of different strength grades under the same mix ratio conditions corresponding to actual engineering conditions, and keep the structural dimensions of all components consistent, including u groups of steel fiber UHPC and p groups of polymer fiber UHPC. Specifically, w groups (w=u+p) of ultra-high performance concrete (UHPC) structures of different strength grades (e.g., 120-140 MPa) are prepared, wherein u groups (e.g., 30-50 groups) of steel fiber UHPC are prepared, and p groups (e.g., 30-50 groups) of polymer fiber UHPC are prepared. The dimensions of all structures are consistent, for example, all are rectangular parallelepipeds of 100 mm × 100 mm × 400 mm or cube structures of 150 mm × 150 mm × 150 mm.

[0047] Step S2, uniformly cutting and layering the structure of each UHPC component, specifically: dividing the overall structure into the first layer (surface layer), the second layer (cutting layer), the third layer (cutting layer), ..., the nth layer (cutting layer);

[0048] Step S3: Use a high-resolution industrial camera to photograph each layer of the UHPC component after it is cut and layered, to obtain images of each layer, and ensure that the images are clear and have sufficient details;

[0049] Step S4: Use image recognition software to process the images of each layer, identify the pore area, and calculate the porosity of each layer of the steel fiber and polymer fiber UHPC structure, which are recorded as N and M respectively;

[0050] Step S5: The average porosity of each layer of the UHPC structure is recorded as K, where the corresponding porosity of steel fiber UHPC is recorded as Ku, and the corresponding porosity of polymer fiber UHPC is recorded as Kp; the dispersion degree of porosity of each layer of the UHPC structure is recorded as R, and is characterized by the standard deviation formula, where the corresponding porosity of steel fiber UHPC is recorded as Ru, and the corresponding porosity of polymer fiber UHPC is recorded as Rp;

[0051] Step S6: For the u-group steel fiber UHPC, the average surface porosity Ku1, Ku2, ..., Kun of each layer 1 to n, and the dispersion of the surface porosity Ru1, Ru2, ..., Run of each layer 1 to n are calculated; for the p-group polymer fiber UHPC, the average surface porosity Kp1, Kp2, ..., Kpn of each layer 1 to n, and the dispersion of the surface porosity Rp1, Rp2, ..., Rpn of each layer 1 to n are calculated;

[0052] Step S7: record the average porosity of the UHPC structure as , where steel fiber UHPC corresponds to , polymer fiber UHPC is recorded as ; The porosity dispersion of the UHPC structure is recorded as , where steel fiber UHPC corresponds to , polymer fiber UHPC is recorded as ;

[0053] Step S8: The average porosity fitting equation and the discrete degree fitting equation of the UHPC overall structure are obtained by Matlab equation fitting respectively. According to the probability statistics theory, the confidence level is set to 90%, and the corresponding Z score is obtained from the Z score table as 1.645 to establish the UHPC structural density determination rule: 1) When When , it indicates that the UHPC structure is dense; 2) when When , it indicates that the UHPC structure is denser; 3) When When , it indicates that the UHPC structure is not dense.

[0054] In this embodiment, more preferably, the step S4 includes: recording the porosity of each layer of the first group of steel fiber UHPC structures as N 11 , N 12 , N 13 …, N 1n The porosity of each layer of the second group of steel fiber UHPC structures is N 21 , N 22 , N 23 …, N 2n ; By analogy, the porosity of each layer of the u-th group steel fiber UHPC structure is N u1 , N u2 , N u3 …, N un ;

[0055] Similarly, the porosity of each layer of the first group of polymer fiber UHPC structures is M 11 , M 12 , M 13 …, M 1n The porosity of each layer of the polymer fiber UHPC structure in group 2 is M 21 , M 22 , M 23 …, M 2n ; By analogy, the porosity of each layer of the p-th group polymer fiber UHPC structure is M p1 , M p2 , M p3 …, M pn .

[0056] In this embodiment, more preferably, step S6 includes:

[0057] For group u steel fiber UHPC, the average porosity of the first layer is recorded as

[0058] K u1=(N 11 +N 21 +…+N u1 )÷u, the porosity dispersion of the first layer is recorded as R u1 = For the p-group polymer fiber UHPC, the average porosity of the first layer is recorded as K p1 =(M 11 +M 21 +…+M p1 )÷p, the porosity dispersion of the first layer is recorded as R p1 = ;

[0059] For group u steel fiber UHPC, the average porosity of the second layer is recorded as

[0060] K u2 =(N 12 +N 22 +…+N u2 )÷u, the porosity dispersion of the second layer is recorded as R u2 = For the p-group polymer fiber UHPC, the average porosity of the second layer is recorded as

[0061] K p2 =(M 12 +M 22 +…+M p2 )÷p, the porosity dispersion of the second layer is recorded as R p2 = ;

[0062] For group u steel fiber UHPC, the average porosity of the nth layer is recorded as

[0063] Kun=(N 1n +N 2n +…+N un )÷u, the porosity dispersion of the nth layer is recorded as

[0064] For p-group polymer fiber UHPC, the average porosity of the nth layer is recorded as K pn =(M 1n +M 2n +…+M pn )÷p, the porosity dispersion of the nth layer is recorded as

[0065] .

[0066] In this embodiment, more preferably, step S8 includes:

[0067] For the u group of steel fiber UHPC, the average porosity of the 1~n layer UHPC overall structure , the porosity dispersion of the 1~n-layer UHPC overall structure For the p-group polymer fiber UHPC, the average porosity of the 1~n-layer UHPC overall structure is , the porosity dispersion of the 1~n-layer UHPC overall structure ;

[0068] For the u-group steel fiber UHPC, the fitting equation of the average porosity of the 1-n-layer UHPC overall structure and the average porosity of the surface layer was obtained by Matlab equation fitting, which is recorded as:

[0069] ;

[0070] The fitting equation of the porosity dispersion of the 1~n-layer UHPC overall structure and the porosity dispersion of the surface layer is expressed as:

[0071] ;

[0072] For the p-group polymer fiber UHPC, the fitting equation of the average porosity of the 1-n-layer UHPC overall structure and the average porosity of the surface layer was obtained by Matlab equation fitting, which is expressed as: = ;

[0073] The fitting equation of the porosity dispersion of the 1-n layers of UHPC overall structure and the porosity dispersion of the first layer (surface layer) is expressed as:

[0074] = .

[0075] In particular, the specific coefficients of the above fitting equations are shown in Tables 1 and 2 below.

[0076] Table 1 Fitting equations for the average porosity of steel fiber and polymer fiber UHPC overall structures

[0077]

[0078] Table 2 Fitting equations for porosity dispersion of steel fiber and polymer fiber UHPC overall structures

[0079]

[0080] In this embodiment, more preferably, for different types of UHPC structures, image recognition or other related technologies are used to obtain basic porosity data of the UHPC structure surface layer, so that the average porosity of the UHPC overall structure and its dispersion can be accurately calculated. Combined with the UHPC structure density determination rule, the density of the UHPC overall structure can be non-destructively determined.

[0081] Specifically, the present invention provides an intelligent detection method for the density of ultra-high performance concrete structures, comprising: first, preparing an ultra-high performance concrete (UHPC) structure and evenly dividing the UHPC structure into n layers; second, performing image recognition processing on each layer surface of each structure to determine the porosity of each layer surface; third, recording the average porosity of each layer surface of the UHPC structure as K, and the degree of dispersion of the porosity of each layer surface as R; fourth, for u groups of steel fiber UHPC, calculating K u1 , K u2 ,…,K un and R u1 , R u2 ,…,R un ; For group p polymer fiber UHPC, K is calculated p1 , K p2 ,…,K pn and R p1 , R p2 ,…,R pn ; 5. The average porosity of the UHPC structure is recorded as The dispersion degree of the overall structure porosity is recorded as ; 6. For group u steel fiber UHPC, it is calculated and For group p polymer fiber UHPC, it is calculated and ; 7. For group u steel fiber UHPC, the fitting equation for the average porosity of the UHPC overall structure is , the fitting equation for the discrete degree of porosity of the UHPC overall structure is: For the p-group polymer fiber UHPC, the fitting equation for the average porosity of the UHPC overall structure is: ; The fitting equation for the discrete degree of porosity of the UHPC overall structure is: ; 8. Combined with the above fitting equations, a rule for determining the density of the UHPC structure is established; 9. Intelligent detection of the overall structural density of the UHPC is realized. The intelligent detection method for the density of the ultra-high performance concrete structure of the present invention establishes a fitting equation for the average porosity of different types of UHPC overall structures and their degree of dispersion. At the same time, a rule for determining the density of the UHPC structure is also established. Based on this, for different types of UHPC structures, technicians only need to use image recognition or related technologies to obtain the basic porosity data of the surface layer of the UHPC structure, and they can accurately calculate the average porosity of the UHPC overall structure and its degree of dispersion, and realize intelligent, efficient, accurate and non-destructive judgment of the overall structural density of the UHPC, meeting the urgent needs of actual engineering for concrete structure quality control and promoting high-quality development of the industry.

[0082] The above examples are preferred embodiments of the present invention, but the embodiments of the present invention are not limited to the above embodiments. The above embodiments only express several embodiments of the present invention, and their descriptions are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that for ordinary technicians in this field, without departing from the concept of the present invention, several variations and improvements can be made, which all fall within the scope of protection of the present invention. Therefore, the scope of protection of the patent of the present invention shall be based on the attached claims.

Claims

1. An intelligent detection method for the density of ultra-high performance concrete structure, characterized in that: The steps include: Step S1: preparing UHPC components of different strength grades under the same proportion conditions corresponding to actual engineering, with the structural dimensions of all components being consistent, including group u steel fiber UHPC and group p polymer fiber UHPC; Step S2: uniformly cutting and layering the structure of each UHPC component; Step S3: Using a high-resolution industrial camera, photograph each layer of the UHPC component after it is cut and layered to obtain images of each layer; Step S4: Use image recognition software to process the images of each layer, identify the pore area, and calculate the porosity of each layer of the steel fiber and polymer fiber UHPC structure, which are recorded as N and M respectively; Step S5: The average porosity of each layer of the UHPC structure is recorded as K, where the corresponding porosity of steel fiber UHPC is recorded as Ku, and the corresponding porosity of polymer fiber UHPC is recorded as Kp; the dispersion degree of porosity of each layer of the UHPC structure is recorded as R, and is characterized by the standard deviation formula, where the corresponding porosity of steel fiber UHPC is recorded as Ru, and the corresponding porosity of polymer fiber UHPC is recorded as Rp; Step S6: For the u-group steel fiber UHPC, the average surface porosity Ku1, Ku2, ..., Kun of each layer 1 to n, and the dispersion of the surface porosity Ru1, Ru2, ..., Run of each layer 1 to n are calculated; for the p-group polymer fiber UHPC, the average surface porosity Kp1, Kp2, ..., Kpn of each layer 1 to n, and the dispersion of the surface porosity Rp1, Rp2, ..., Rpn of each layer 1 to n are calculated; Step S7: The average porosity of the UHPC structure is recorded as K̅, and the corresponding porosity of the steel fiber UHPC is recorded as , polymer fiber UHPC is recorded as ; The porosity dispersion of the UHPC structure is recorded as , where steel fiber UHPC corresponds to , polymer fiber UHPC is recorded as ; Step S8: The average porosity fitting equation and the discrete degree fitting equation of the UHPC overall structure are obtained by Matlab equation fitting respectively. According to the probability statistics theory, the confidence level is set to 90%, and the corresponding Z score is obtained from the Z score table as 1.645 to establish the UHPC structural density determination rule: 1) When When , it indicates that the UHPC structure is dense; 2) when When , it indicates that the UHPC structure is denser; 3) When When , it indicates that the UHPC structure is not dense; Wherein, step S8 includes: for group u steel fiber UHPC, the average porosity of the overall structure of 1~n layers of UHPC is , the porosity dispersion of the 1~n-layer UHPC overall structure For the p-group polymer fiber UHPC, the average porosity of the 1~n-layer UHPC overall structure is , the porosity dispersion of the 1~n-layer UHPC overall structure ; For the u-group steel fiber UHPC, the fitting equation of the average porosity of the 1-n-layer UHPC overall structure and the average porosity of the surface layer was obtained by Matlab equation fitting, which is recorded as: ； The fitting equation of the porosity dispersion of the 1~n-layer UHPC overall structure and the porosity dispersion of the surface layer is expressed as: ； For the p-group polymer fiber UHPC, the fitting equation of the average porosity of the 1-n-layer UHPC overall structure and the average porosity of the surface layer was obtained by Matlab equation fitting, which is expressed as: ; The fitting equation of the porosity dispersion of the 1~n-layer UHPC overall structure and the porosity dispersion of the surface layer is expressed as: ; For different types of UHPC structures, image recognition or other related technologies are used to obtain the basic porosity data of the UHPC structure surface layer, so that the average porosity of the UHPC overall structure and its dispersion can be accurately calculated. Combined with the UHPC structure density determination rule, the overall structure density of the UHPC can be non-destructively determined.

2. The method according to claim 1, characterized in that The step S4 includes: recording the porosity of each layer of the first group of steel fiber UHPC structures as N 11 , N 12 , N 13 …, N 1n The porosity of each layer of the second group of steel fiber UHPC structures is N 21 , N 22 , N 23 …, N 2n ; By analogy, the porosity of each layer of the u-th group steel fiber UHPC structure is N u1 , N u2 , N u3 …, N un ; Similarly, the porosity of each layer of the first group of polymer fiber UHPC structures is M 11 , M 12 , M 13 …, M 1n The porosity of each layer of the polymer fiber UHPC structure in group 2 is M 21 , M 22 , M 23 …, M 2n ; By analogy, the porosity of each layer of the p-th group polymer fiber UHPC structure is M p1 , M p2 , M p3 …, M pn .

3. The method according to claim 1, characterized in that The step S6 comprises: For group u steel fiber UHPC, the average porosity of the first layer is recorded as K u1 =(N 11 +N 21 +…+N u1 ) u, the porosity dispersion of the first layer is recorded as R u1 = For the p-group polymer fiber UHPC, the average porosity of the first layer is recorded as K p1 =(M 11 +M 21 +…+M p1 ) p, the porosity dispersion of the first layer is recorded as R p1 = ; For group u steel fiber UHPC, the average porosity of the second layer is recorded as K u2 =(N 12 +N 22 +…+N u2 ) u, the porosity dispersion of the second layer is recorded as R u2 = For the p-group polymer fiber UHPC, the average porosity of the second layer is recorded as K p2 =(M 12 +M 22 +…+M p2 ) p, the porosity dispersion of the second layer is recorded as R p2 = ; For group u steel fiber UHPC, the average porosity of the nth layer is recorded as Kun=(N 1n +N 2n +…+N un )÷u, the porosity dispersion of the nth layer is recorded as For p-group polymer fiber UHPC, the average porosity of the nth layer is recorded as K pn =(M 1n +M 2n +…+M pn )÷p, the porosity dispersion of the nth layer is recorded as 。

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