Underwater film bag concrete reinforcement construction method for scour prevention and reinforcement

Abstract

The construction method comprises the following specific steps that S1, an underwater intelligent film bag with a gradient pore structure is laid, the porosity of the surface layer of the underwater intelligent film bag is smaller than or equal to 5%, the pore diameter of the underwater intelligent film bag is smaller than or equal to 50 micrometers, the porosity of the bottom layer of the underwater intelligent film bag is larger than or equal to 30%, and the pore diameter of the bottom layer of the underwater intelligent film bag is larger than or equal to 200 micrometers; s2, silicate-sulphoaluminate bi-component quick-setting concrete is injected through an underwater robot cluster, and the volume ratio of the liquid A to the liquid B is controlled to range from 1.2: 1 to 1.8: 1; and S3, the grouting pressure is dynamically adjusted according to the strain data monitored in real time, and the pressure adjustment response time is smaller than or equal to 500 ms. A traditional film bag is single in pore, the novel intelligent film bag is of a gradient pore structure, concrete can permeate uniformly during pouring, and the novel intelligent film bag is resistant to scouring after being formed. The bonding strength of the mussel bionic adhesion layer is enhanced along with the grouting pressure, and the underwater durability is far better than that of a mechanical anchoring or common bonding mode of a traditional film bag; the novel double-component quick-setting concrete can be quickly formed, the influence of water flow scouring is reduced, and the novel double-component quick-setting concrete also has a self-repairing capability.

Description

Technical Field

[0001] The present invention relates to the field of construction technology, in particular to an underwater membrane bag concrete reinforcement construction method for anti-scouring reinforcement. Background Art

[0002] In infrastructure construction, such as water conservancy and transportation, underwater structures are constantly exposed to harsh environmental conditions, such as scouring and seawater erosion. Therefore, anti-scouring reinforcement construction is crucial. Currently, traditional underwater anti-scouring reinforcement construction techniques have exposed numerous drawbacks, seriously restricting the improvement of project quality and durability.

[0003] From the perspective of existing technologies, the pore structure of existing membrane bags lacks targeted design and cannot achieve uniform penetration during the concrete pouring stage, resulting in uneven concrete molding quality. When faced with water scouring, it cannot effectively prevent the erosion of the internal structure by the water flow, reducing the protective effect; traditional underwater construction relies on manual experience or simple underwater equipment, and it is difficult to achieve high-precision positioning. During the laying of membrane bags and concrete pouring, the position deviation is large, which cannot meet the project's requirements for construction accuracy, easily leading to uneven stress on the structure and affecting the overall performance. In addition, the existing construction equipment acts independently and lacks an effective collaborative operation mechanism. In terms of concrete diffusion control, it is impossible to adjust in real time according to the construction parameters, resulting in uneven distribution of concrete, affecting the structural strength and impact resistance. Therefore, an underwater membrane bag concrete reinforcement construction method for anti-impact reinforcement is proposed. Summary of the Invention

[0004] To overcome the aforementioned shortcomings of the prior art, the present invention provides an underwater membrane bag concrete reinforcement construction method for anti-scouring reinforcement. This method addresses the existing problems of large positional deviations during membrane bag laying and concrete pouring, which fail to meet the project's construction accuracy requirements, easily leading to uneven structural stress and affecting overall performance. Furthermore, existing construction equipment operates independently and lacks an effective collaborative operation mechanism. Furthermore, concrete diffusion control cannot be adjusted in real time according to construction parameters.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] A method for underwater membrane bag concrete reinforcement for anti-scouring reinforcement, comprising the following specific steps:

[0007] S1: Laying underwater smart membrane bags with gradient pore structure, with surface porosity ≤5% and pore size ≤50μm, bottom layer porosity ≥30% and pore size ≥200μm;

[0008] S2: Inject silicate-sulphoaluminate two-component rapid-setting concrete through an underwater robot cluster, controlling the volume ratio of liquid A to liquid B between 1.2:1 and 1.8:1;

[0009] S3: Dynamically adjust the grouting pressure according to the real-time monitored strain data, with the pressure adjustment response time ≤ 500ms;

[0010] S4: When the pH value of the concrete environment is detected to drop to 11.5±0.3, the self-repairing microcapsules are activated to release the repair components.

[0011] The initial setting time of the two-component concrete satisfies t=C·e -k(r-1) , C = 55-65 seconds, k = 0.12-0.18, r is the volume ratio of A / B liquid.

[0012] Preferably, the thickness of the mussel biomimetic adhesion layer of the smart membrane bag is 50-200nm, and its bonding strength with the concrete matrix satisfies τ≥2.0+0.1B (MPa), where B is the grouting pressure (MPa). Preferably, the magnetic field strength B of the vortex generator of the underwater robot cluster and the grouting speed v satisfy B=0.5+0.25v 2 (T), the unit of v is m / s, and the error of concrete diffusion radius is controlled to be ≤5%.

[0013] Preferably, the rupture triggering condition of the self-repairing microcapsule is ΔE>45mV, where ΔE is the potential change, corresponding to a pH value drop of ≥1.2.

[0014] Preferably, the porosity variation gradient of the gradient pore structure satisfies ▽P=0.25-0.02d (% / mm), where d is the coordinate in the thickness direction of the membrane bag (mm), to ensure the uniformity of grouting penetration.

[0015] Preferably, 15-25 vol% of graphene aerogel aggregate is added to the two-component concrete, and its pore size distribution satisfies log(D)=1.5-0.3V(μm), where V is the volume percentage of aerogel (%).

[0016] Preferably, the dynamic pressure regulation follows P=0.2+0.15ε (MPa), where ε is the measured strain (με) on the membrane bag surface, and the control range is 50-500 (με).

[0017] Preferably, the CSH gel regeneration rate in the self-repair process satisfies R=K[Ca 2+ ] 0.8 , K=0.04-0.06(mol -0 · 2 ·s -1 ), achieving a 3-day crack repair rate ≥ 80% 80%.

[0018] Preferably, the underwater robot adopts a distributed positioning algorithm, and its position update equation satisfies x k+1 =x k+0.95(vΔt+0.1aΔt 2 ), positioning error ≤3cm.

[0019] Preferably, the energy efficiency of the wireless sensor of the smart membrane bag satisfies η≥0.75-0.04log(D)(%), where D is the water depth (m), ensuring that η≥65% at a water depth of 50m.

[0020] The technical effects and advantages of the underwater membrane bag concrete reinforcement construction method for anti-scouring reinforcement of the present invention are as follows:

[0021] 1. This invention uses a gradient pore structure, unlike traditional membrane bags, which have a single pore size. This helps ensure uniform concrete penetration during pouring and resists scouring after forming. Its mussel-inspired adhesion layer increases in strength with grouting pressure, resulting in underwater durability far exceeding the mechanical anchoring or conventional bonding methods of traditional membrane bags. The new two-component rapid-setting concrete allows for rapid formation, minimizing the impact of water scouring. It also possesses self-healing capabilities, automatically repairing cracks when environmental conditions permit, extending the life of the structure.

[0022] 2. This invention utilizes a distributed positioning algorithm for precise positioning, ensuring accurate placement of membrane bags and concrete pouring. A swarm of underwater robots enables multi-device collaboration, precisely controlling concrete spread and ensuring effective construction. The new method adjusts pressure in real time based on membrane bag strain, providing rapid response. The energy efficiency of wireless sensors within the intelligent membrane bags varies with water depth, ensuring long-term, stable monitoring.

[0023] 3. This invention uses graphene aerogel aggregate to reinforce concrete, effectively resisting erosion. Its novel self-healing system can promptly control crack development, reducing maintenance costs and mitigating structural safety risks. Real-time monitoring using wireless sensors and precise quantitative indicators assess structural performance, providing a reliable basis for maintenance decisions. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 This is a system module block diagram of an underwater membrane bag concrete reinforcement construction method for anti-scouring reinforcement proposed by the present invention. DETAILED DESCRIPTION

[0025] The following will be combined with the accompanying drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention. It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprise", "include" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0026] Example 1

[0027] This embodiment provides an underwater membrane bag concrete reinforcement construction method for anti-scouring reinforcement, which is used for the implementation of reinforcement of the diversion tunnel outlet of a water conservancy project. The specific implementation content includes:

[0028] 1. Implementation Background

[0029] The outlet of the diversion tunnel of the water conservancy hub has been eroded by high-speed water flow for a long time, and the concrete surface has been severely worn and partially peeled off, requiring anti-scouring reinforcement. The water depth in this area is about 15m and the water flow speed reaches 3m / s.

[0030] 2. Construction steps

[0031] (1) Membrane bag laying: For membrane bag laying, a smart membrane bag with a surface porosity of 4% and a pore size of 45 μm and a bottom porosity of 32% and a pore size of 210 μm was selected. According to the design requirements, the membrane bag was precisely laid by an underwater robot to ensure that the membrane bag was closely fitted to the bedrock. The thickness of the mussel biomimetic adhesion layer was measured to be 120 nm. The bonding strength was tested by on-site pull-out. When the grouting pressure was 0.4 MPa, the bonding strength was 2.0 + 0.1 × 0.4 = 2.04 MPa, which met the design requirements.

[0032] (2) Concrete laying: underwater robot cluster operation is used to inject two-component quick-setting concrete. According to the designed mix ratio, the volume ratio of liquid A to liquid B is strictly controlled to be 1.5:1. After calculation, the initial setting time t=60·e -0.15(1.5-1) ≈52 seconds, within the range of 45-75 seconds, in accordance with claim 1;

[0033] (3) Pressure regulation and monitoring: real-time monitoring of the membrane bag surface strain. When the strain reaches 100με, the pressure is adjusted according to the The calculation shows that the grouting pressure is adjusted to 0.215 MPa and the response time is 400 ms, which meets the requirement of pressure regulation response time ≤ 500 ms.

[0034] 3. Evaluate the results

[0035] After the reinforcement was completed, after a flood season of operational monitoring, no new wear and peeling appeared on the concrete surface of the diversion tunnel outlet, and the impact resistance was significantly improved.

[0036] Example 2

[0037] This embodiment provides an underwater membrane bag concrete reinforcement construction method for anti-scouring reinforcement, which is used for the protection of cross-sea bridges. The specific implementation content includes:

[0038] 1. Implementation Background

[0039] The piers of the Haida Bridge have been subjected to long-term erosion by seawater and impact by waves. In order to improve the durability of the piers, underwater membrane bag concrete anti-impact reinforcement technology is used. The water depth in this area is 30m, the average wave height is 1.2m, and the water flow speed is 2m / s.

[0040] 2. Implementation steps

[0041] (1) Installation of membrane bag and sensor: Install a smart membrane bag with a porosity gradient that meets the requirement of ▽P=0.25-0.02d(% / mm), and embed a wireless sensor in the membrane bag. After testing, the energy efficiency of the wireless sensor is Meet the requirement of η≥65% at a water depth of 50m;

[0042] (2) Concrete and self-repairing system: a two-component concrete mixed with 20 vol% graphene aerogel aggregate was injected. After testing, the aerogel pore size distribution was consistent with That is, D≈10μm; when the pH value of the concrete environment drops to 11.4, the condition that the pH value drops to 11.5±0.3 is met, and the self-repairing microcapsules are activated;

[0043] (3) Eddy current control and robot positioning, underwater robot cluster operation, eddy current generator magnetic field strength The error of the concrete diffusion radius is controlled within 3%. The robot adopts a distributed positioning algorithm with a positioning error of 2.5 cm, meeting the requirement of positioning error ≤ 3 cm.

[0044] 3. Effect evaluation

[0045] After two years of monitoring, there was no obvious sign of deterioration in the concrete on the pier surface. The self-repair system was effectively triggered twice, repairing tiny cracks in a timely manner and ensuring the stability of the pier structure.

[0046] Example 3

[0047] This embodiment provides an underwater membrane bag concrete reinforcement construction method for anti-scouring reinforcement, which is used for the implementation of urban river bank reinforcement. The specific implementation content includes:

[0048] 1. Implementation Background

[0049] Due to water erosion and ship waves, some areas of the urban river bank have collapsed and damaged, requiring rapid reinforcement and repair. The river is 5m deep and the water flow speed is 1.5m / s.

[0050] 2. Implementation steps

[0051] (1) Rapid laying and pouring: Use underwater robots to quickly lay smart membrane bags, and then inject two-component quick-setting concrete. When the volume ratio of liquid A to liquid B is 1.3:1, the initial setting time t = 58·e -0.13(1.3-1) ≈55 seconds, meeting the initial setting time requirement;

[0052] (2) Pressure and regeneration rate control: the grouting pressure is dynamically adjusted according to the strain on the membrane bag surface. When the strain reaches 80με, the grouting pressure is adjusted to During the self-repair process, the regeneration rate of CSH gel was tested to be consistent with R = 0.05 [Ca 2+ ] 0.8 , the crack repair rate reached 82% in 3 days.

[0053] 3. Effect evaluation

[0054] After one rainy season, the reinforced bank protection did not experience any new collapse or damage, effectively ensuring the stability of the river bank slope.

[0055] Those skilled in the art will appreciate that the modules and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented with electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0056] In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0057] The above is only a specific implementation method of the present application, but the scope of protection of the present application is not limited to this. Any technical personnel familiar with this technical field can easily think of changes or replacements within the technical scope disclosed in this application, which should be covered by the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.

[0058] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for underwater membrane bag concrete reinforcement construction for anti-scouring reinforcement, characterized in that: The construction method includes the following specific steps: S1: Laying underwater smart membrane bags with gradient pore structure, with surface porosity ≤5% and pore size ≤50μm, bottom layer porosity ≥30% and pore size ≥200μm; S2: Inject silicate-sulphoaluminate two-component rapid-setting concrete through an underwater robot cluster, controlling the volume ratio of liquid A to liquid B between 1.2:1 and 1.8:1; S3: Dynamically adjust the grouting pressure according to the real-time monitored strain data, with the pressure adjustment response time ≤ 500ms; S4: When the pH value of the concrete environment is detected to drop to 11.5±0.3, the self-repairing microcapsules are activated to release the repair components. The initial setting time of the two-component concrete satisfies t=C·e -k(r-1) , C = 55-65 seconds, k = 0.12-0.18, r is the volume ratio of A / B liquid.

2. The underwater membrane bag concrete reinforcement construction method for anti-scouring reinforcement as claimed in claim 1, characterized in that: The thickness of the mussel biomimetic adhesion layer of the smart membrane bag is 50-200 nm, and the bonding strength between the mussel biomimetic adhesion layer and the concrete matrix satisfies τ≥2.0+0.1B (MPa), where B is the grouting pressure (MPa).

3. The underwater membrane bag concrete reinforcement construction method for anti-scouring reinforcement as claimed in claim 1, characterized in that: The magnetic field strength B of the vortex generator of the underwater robot cluster and the grouting speed v satisfy B=0.5+0.25v 2 (T), the unit of v is m / s, and the error of concrete diffusion radius is controlled to be ≤5%.

4. The underwater membrane bag concrete reinforcement construction method for anti-scouring reinforcement as claimed in claim 1, characterized in that: The rupture triggering condition of the self-repairing microcapsule is ΔE>45mV, where ΔE is the potential change, corresponding to a pH value drop of ≥1.

2.

5. The underwater membrane bag concrete reinforcement construction method for anti-scouring reinforcement as claimed in claim 1, characterized in that: The porosity variation gradient of the gradient pore structure satisfies ▽P=0.25-0.02d (% / mm), where d is the coordinate in the thickness direction of the membrane bag (mm), ensuring the uniformity of grouting penetration.

6. The underwater membrane bag concrete reinforcement construction method for anti-scouring reinforcement as claimed in claim 1, characterized in that: 15-25 vol% of graphene aerogel aggregate is added to the two-component concrete, and its pore size distribution satisfies log(D)=1.5-0.3V(μm), where V is the volume percentage of aerogel (%).

7. The underwater membrane bag concrete reinforcement construction method for anti-scouring reinforcement as claimed in claim 1, characterized in that: The dynamic pressure regulation follows P=0.2+0.15ε (MPa), where ε is the measured strain (με) on the membrane bag surface, and the control range is 50-500 (με).

8. The underwater membrane bag concrete reinforcement construction method for anti-scouring reinforcement as claimed in claim 1, characterized in that: The regeneration rate of the CSH gel in the self-repair process satisfies R = K[Ca 2+ ] 0.8 , K=0.04-0.06(mol -0 · 2 ·s -1 ), achieving a 3-day crack repair rate ≥ 80% 80%.

9. The underwater membrane bag concrete reinforcement construction method for anti-scouring reinforcement as claimed in claim 1, characterized in that: The underwater robot adopts a distributed positioning algorithm, and its position update equation satisfies x k+1 =x k +0.95(vΔt+0.1aΔt 2 ), positioning error ≤ 3cm.

10. The underwater membrane bag concrete reinforcement construction method for anti-scouring reinforcement as claimed in claim 1, characterized in that: The energy efficiency of the wireless sensor of the smart membrane bag satisfies η≥0.75-0.04log(D)(%), where D is the water depth (m), ensuring that η≥65% at a water depth of 50m.

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