Method for calculating indoor and outdoor similarity relation of concrete durability parameters in marine environment
By establishing concrete microstructure models and finite element models under different hydration age conditions, the chloride ion transport process was simulated, and the chloride ion diffusion coefficient was calculated, which solved the problem of low calculation efficiency of indoor and outdoor similarity relationships of concrete structure durability parameters in marine environments, and achieved fast and accurate calculation results.
Patent Information
- Application Number
- CN202411915962.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-24
- Publication Date
- 2025-03-28
AI Technical Summary
In the prior art, the calculation method for indoor and outdoor similarity relationships of concrete structure durability parameters in marine environments has problems such as time-consuming, labor-consuming and low efficiency, and it is difficult to efficiently provide parameter support for the durability design of concrete structures.
By dividing the hydration age of concrete, a concrete microstructure model under different hydration age conditions was established, a finite element model of clean slurry, mortar and concrete was established based on the microstructure model, the chloride ion transport process was simulated, and the chloride ion diffusion coefficient under different hydration age conditions was calculated using the chloride ion diffusion theoretical equation, and the indoor and outdoor similar relationship was calculated.
The rapid and accurate calculation of the indoor and outdoor similar relationships of concrete durability parameters is achieved, and the problem of low efficiency of traditional methods is overcome, and the efficiency and stability of calculations are improved.
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Figure CN119720684A_ABST
Abstract
Description
Technical Field
[0001] The invention belongs to the field of durability design of concrete structures, and in particular relates to a method for calculating indoor and outdoor similarity relations of durability parameters of concrete in a marine environment. Background Art
[0002] The indoor and outdoor similarity relationship is a key parameter for the durability design of concrete structures in marine environments, and directly affects the reliability of the service life assessment of concrete structures. At present, the indoor and outdoor similarity relationship of chloride ion diffusion coefficient is mainly obtained by conducting indoor and outdoor exposure tests of concrete in chloride salt environments in parallel, and obtaining the chloride ion diffusion coefficient values under two exposure conditions through chemical analysis, and then solving the ratio of the two. However, this method has the following problems: the service of concrete structures is a long process. To obtain an accurate similarity relationship, long-term exposure tests are required, which has the disadvantages of being time-consuming and labor-intensive, resulting in low efficiency and difficulty in providing parameter support for the durability design of concrete structures. Summary of the invention
[0003] In view of the deficiencies of the prior art, the purpose of the present invention is to provide a method for calculating the indoor and outdoor similarity relationship of concrete durability parameters in a marine environment, thereby solving the problems in the prior art.
[0004] The purpose of the present invention can be achieved through the following technical solutions:
[0005] The method for calculating the indoor and outdoor similarity relationship of concrete durability parameters under marine environment includes the following steps:
[0006] The hydration age of concrete is divided, and the concrete microstructure model under different hydration ages is established according to the composition of concrete cementitious materials. Based on the microstructure model, a finite element model of the paste is established to simulate the chloride ion transmission process in the paste, and the chloride ion diffusion coefficient of the paste under different hydration ages is calculated using the chloride ion diffusion theory equation.
[0007] According to the morphological characteristics, gradation and dosage of concrete fine aggregate, a three-dimensional stacking model of fine aggregate is established, and a finite element model of mortar is established, and the chloride ion diffusion coefficient of the net paste is substituted into the finite element model of mortar for transmission simulation to obtain the chloride ion diffusion coefficient of mortar under different hydration ages;
[0008] According to the morphological characteristics, gradation and dosage of concrete coarse aggregate, a three-dimensional stacking model of coarse aggregate is established, and a concrete finite element model is established. The chloride ion diffusion coefficient of the mortar is substituted into the concrete finite element model for transmission simulation to obtain the chloride ion diffusion coefficient of the concrete at a certain exposure age;
[0009] The chloride ion diffusion coefficient of concrete in the actual service area is compared with the simulated concrete chloride ion diffusion coefficient to obtain the indoor and outdoor similarity relationship of the concrete chloride ion diffusion coefficient.
[0010] Furthermore, the concrete microstructure model under different hydration ages was established using CEMHYD3D.
[0011] Furthermore, the microstructure model was embedded into ABAQUS software using Visual Studio C++ programming to generate a finite element model of the clean slurry, and the Mass Diffusion module in ABAQUS was used to simulate the chloride ion transport of the clean slurry.
[0012] Furthermore, the chloride ion diffusion theoretical equation is:
[0013]
[0014] Where C0 is the initial chloride ion concentration, C s is the surface chloride ion concentration, D is the diffusion coefficient, t is the exposure age, x is the chloride ion diffusion depth, and C(x,t) is the chloride ion concentration at the exposure age t and the diffusion depth x.
[0015] Further, a three-dimensional stacking model of the fine aggregate particles is established using Visual Studio C++, and a finite element model of the mortar is generated using ABAQUS;
[0016] Visual Studio C++ was used to establish the three-dimensional random stacking model of coarse aggregate, and ABAQUS was used to generate a finite element model of concrete.
[0017] Furthermore, the chloride ion diffusion coefficient of the concrete in the actual service area is calculated and obtained by means of literature research or experimental testing.
[0018] The indoor and outdoor similarity relationship calculation system of concrete durability parameters under marine environment includes:
[0019] Calculation module of chloride ion diffusion coefficient of pure paste: divide the hydration age of concrete, and establish the concrete microstructure model under different hydration age conditions according to the composition of concrete cementitious materials; based on the microstructure model, establish the finite element model of pure paste to simulate the chloride ion transmission process in pure paste, and use the chloride ion diffusion theory equation to calculate the chloride ion diffusion coefficient of pure paste under different hydration age conditions;
[0020] Mortar chloride ion diffusion coefficient calculation module: According to the morphological characteristics, gradation and dosage of concrete fine aggregate, a three-dimensional stacking model of fine aggregate is established, and a mortar finite element model is established. The net paste chloride ion diffusion coefficient is substituted into the mortar finite element model for transmission simulation to obtain the mortar chloride ion diffusion coefficient under different hydration ages;
[0021] Concrete chloride ion diffusion coefficient calculation module: According to the morphological characteristics, gradation and dosage of concrete coarse aggregate, a three-dimensional coarse aggregate stacking model is established, and a concrete finite element model is established. The mortar chloride ion diffusion coefficient is substituted into the concrete finite element model for transmission simulation to obtain the concrete chloride ion diffusion coefficient at a certain exposure age;
[0022] Also, similarity relationship calculation module: compare the chloride ion diffusion coefficient of concrete in the actual service area with the simulated concrete chloride ion diffusion coefficient to obtain the indoor and outdoor similarity relationship of the concrete chloride ion diffusion coefficient.
[0023] A computer storage medium stores a readable program, which can execute the above-mentioned method for calculating the indoor and outdoor similarity relationship of concrete durability parameters in a marine environment when the program is running.
[0024] An electronic device, comprising: a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other through the communication bus;
[0025] The memory is used to store at least one executable instruction, and the executable instruction enables the processor to execute operations corresponding to the above-mentioned method for calculating the indoor and outdoor similarity relationship of concrete durability parameters under marine environment.
[0026] A computer program product includes computer instructions, wherein the computer instructions instruct a computing device to execute operations corresponding to the above-mentioned method for calculating indoor and outdoor similarity relations of concrete durability parameters in a marine environment.
[0027] Beneficial effects of the present invention:
[0028] The present invention has high calculation efficiency and high stability, adopts theoretical calculation and numerical simulation methods, makes full use of the long exposure age concrete durability parameter data in actual structures or literature, overcomes the low efficiency problem of traditional methods, and can realize fast and accurate calculation of the indoor and outdoor similarity relationship of concrete durability parameters. BRIEF DESCRIPTION OF THE DRAWINGS
[0029] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.
[0030] Figure 1 Schematic diagram of the microstructure of concrete under different hydration ages in the present invention;
[0031] Figure 2 It is a schematic diagram of the simulation of chloride ion transport of the clean pulp under the 28d microstructure condition in the present invention;
[0032] Figure 3 It is a schematic diagram of the fine aggregate accumulation structure model and the simulation of chloride ion transmission in mortar under the 28d microstructure condition in the present invention;
[0033] Figure 4 It is a schematic diagram of the numerical simulation of the coarse aggregate accumulation structure model and the chloride ion concentration distribution of concrete when the exposure age is 3285d in the present invention. DETAILED DESCRIPTION
[0034] The following will be combined with the 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 described embodiments 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 creative work are within the scope of protection of the present invention.
[0035] Example 1
[0036] The method for calculating the indoor and outdoor similarity relationship of concrete durability parameters under marine environment includes the following steps:
[0037] S1, divide the hydration age of concrete, and establish a concrete microstructure model under different hydration ages according to the composition of concrete cementitious materials; based on the microstructure model, establish a finite element model of the paste, and simulate the chloride ion transmission process in the paste. According to the simulation results, the chloride ion diffusion coefficient of the paste under different hydration ages is calculated using the chloride ion diffusion theory equation;
[0038] In this embodiment, CEMHYD3D is used to establish the concrete microstructure model under different hydration age conditions. CEMHYD3D is a three-dimensional model for simulating cement hydration and microstructure development. At the same time, Visual Studio C++, ABAQUS and other software are used to program the finite element model of the pure paste, and then the Mass Diffusion module in ABAQUS is used to simulate the chloride ion transmission process in the pure paste.
[0039] Specifically, in S1, the hydration age of concrete is divided into: such as t0-t1, t1-t2, t2-t3, etc. (usually t0 is 28d), and then CEMHYD3D is used to generate cementitious material electron balls according to the concrete mix ratio, such as cement, fly ash, silica fume, slag and kaolin particles. Then, the cementitious material particles are placed in a space container, and the phase separation and hydration steps are performed to obtain the hydration microstructure model of concrete. Subsequently, Visual Studio C++ programming is used to embed the microstructure model into ABAQUS software to generate a finite element model of the net paste, and then the Mass Diffusion module in ABAQUS is used to simulate the chloride ion transmission of the net paste, and then the chloride ion diffusion theory equation is used to calculate the chloride ion diffusion coefficient of the net paste.
[0040] For pure pulp, The chloride ion diffusion theoretical equation is:
[0041]
[0042] In the formula, C 0p is the initial chloride ion concentration of the pure pulp, C sp is the surface chloride ion concentration of the pure pulp, D p is the diffusion coefficient of the pure slurry, t p is the chloride ion diffusion time of the pure pulp, x p is the diffusion depth of chloride ions in the pure slurry, C p (x, t) is the chloride ion concentration of the pure slurry at the diffusion time tp and the diffusion depth xp.
[0043] S2, according to the morphological characteristics, gradation and dosage of concrete fine aggregate, a three-dimensional stacking model of fine aggregate is established, and a finite element model of mortar is established. The chloride ion diffusion coefficient of the net paste obtained in S1 is substituted into the finite element model of mortar for transmission simulation, and the chloride ion diffusion theoretical equation is used to calculate the chloride ion diffusion coefficient of mortar under different hydration ages.
[0044] In this embodiment, Visual Studio C++ is used to establish a three-dimensional stacking model of fine aggregate particles, and ABAQUS is used to generate a finite element model of the mortar;
[0045] Specifically, according to the morphology, dosage and gradation of fine aggregate (river sand, machine-made sand, etc.), a three-dimensional stacking model of fine aggregate particles was established using Visual Studio C++, and the stacking model was embedded in ABAQUS software to generate a finite element model of mortar. Combined with the chloride ion diffusion coefficient of the pure paste, the chloride ion concentration distribution curve of the mortar can be simulated, and then the chloride ion diffusion theory equation can be used to calculate the chloride ion diffusion coefficient of the mortar.
[0046] For mortar, The chloride ion diffusion theoretical equation is:
[0047]
[0048] In the formula, C 0m is the initial chloride ion concentration of the mortar, C sm is the surface chloride ion concentration of mortar, D m is the diffusion coefficient of mortar, t m is the chloride ion diffusion time of mortar, x m is the diffusion depth of chloride ions in mortar, C m (x, t) is the chloride ion concentration of the mortar at the diffusion time tm and the diffusion depth xm.
[0049] S3, according to the morphological characteristics, gradation and dosage of coarse aggregate in concrete, a three-dimensional stacking model of coarse aggregate is established, and a finite element model of concrete is established. The chloride ion diffusion coefficient of mortar under different hydration ages obtained in S2 is substituted into the concrete finite element model for transmission simulation, and the chloride ion diffusion theoretical equation is used to calculate the chloride ion diffusion coefficient of concrete under a certain exposure age;
[0050] For concrete, The chloride ion diffusion theoretical equation is:
[0051]
[0052] In the formula, C 0c is the initial chloride ion concentration of concrete, C sc is the surface chloride ion concentration of concrete, D c is the diffusion coefficient of concrete, t c is the chloride ion diffusion time of concrete, x c is the diffusion depth of chloride ions in concrete, C c (x, t) is the chloride ion concentration of concrete at diffusion time tc and diffusion depth xc.
[0053] In this embodiment, Visual Studio C++ is used to establish a three-dimensional random stacking model of coarse aggregate, and ABAQUS is used to generate a finite element model of concrete;
[0054] Specifically, in S3, according to the morphology, dosage and gradation of coarse aggregate (crushed stone, pebbles, etc.), a three-dimensional random stacking model of coarse aggregate was established using VisualStudio C++. The stacking model was embedded in ABAQUS software to generate a concrete finite element model. Combined with the chloride ion diffusion coefficient of mortar, the chloride ion diffusion coefficient of concrete was simulated.
[0055] S4, for the service area of concrete, calculate the chloride ion diffusion coefficient of concrete in the actual service area through literature research or experimental testing methods, and compare it with the concrete chloride ion diffusion coefficient simulated in S3 to calculate the indoor and outdoor similarity relationship of the concrete chloride ion diffusion coefficient.
[0056] Through the method of literature research, the process of calculating the chloride ion diffusion coefficient of concrete in the actual service area is as follows:
[0057] Through literature research, the chloride ion concentration distribution curve of concrete in the actual service area was obtained. Combined with the chloride ion diffusion theoretical equation, the chloride ion diffusion coefficient of concrete in the actual service area was calculated.
[0058] For concrete in actual service area, The chloride ion diffusion theoretical equation is:
[0059]
[0060] In the formula, C 0rc is the initial chloride ion concentration of concrete in the actual service area, C src is the surface chloride ion concentration of concrete in the actual service area, D rc is the diffusion coefficient of concrete in the actual service area, t rc is the chloride ion diffusion time of concrete in the actual service area, x rc is the chloride ion diffusion depth in concrete in the actual service area, C rc (x, t) is the chloride ion concentration of concrete in the actual service area when the diffusion time is trc and the diffusion depth is xrc.
[0061] Through the experimental test method, the process of calculating the chloride ion diffusion coefficient of concrete in the actual service area is as follows:
[0062] The chloride ion concentration distribution curve of the concrete core sample is obtained by drilling core samples of the concrete structure in the actual service area, and then grinding, sieving, drying and chemically titrating the core samples. Combined with the chloride ion diffusion theoretical equation (i.e., equation (4)), the chloride ion diffusion coefficient of the concrete in the actual service area is calculated.
[0063] Based on similar inventive concepts, an embodiment of the present invention further provides a computer storage medium storing a readable program, which, when executed, can execute the above-mentioned method for calculating the indoor and outdoor similarity relationship of concrete durability parameters in a marine environment.
[0064] Based on similar inventive concepts, an embodiment of the present invention provides an electronic device, comprising: a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other through the communication bus;
[0065] The memory is used to store at least one executable instruction, and the executable instruction enables the processor to execute operations corresponding to the above-mentioned method for calculating the indoor and outdoor similarity relationship of concrete durability parameters under marine environment.
[0066] Based on similar inventive concepts, an embodiment of the present invention further provides a computer program product, including computer instructions, which instruct a computing device to execute operations corresponding to the above-mentioned method for calculating indoor and outdoor similarity relationships of concrete durability parameters in a marine environment.
[0067] Example 2
[0068] In this embodiment, taking the sea area near a territorial city as an example, the specific calculation process of the indoor and outdoor similarity relationship of concrete durability parameters in the marine environment is introduced;
[0069] The exposure age of concrete at an exposure station in this area is as long as 9 years, and its mix ratio is shown in Table 1. Based on this mix ratio, the hydration microstructure evolution model of concrete cement-fly ash-mineral powder system was established using the CEMHYD3D hydration model. The microstructure of concrete under hydration conditions of 28d, 90d, 180d, 365d and 730d is shown in Figure 1. Figure 1 As shown in (a)-(e) in Figure 2, the model size is 100μm×100μm×100μm. The microstructure model established above was then embedded into the finite element software ABAQUS to form a finite element model of the paste under different hydration ages, and the chloride ion diffusion simulation of the microstructure of concrete under different hydration ages was performed. The chloride ion diffusion coefficients of each phase in the paste are shown in Table 2. Figure 2 is the simulation result of chloride ion transport for the microstructure corresponding to the hydration age of 28 days. The chloride ion diffusion coefficient of the pure slurry under the microstructure condition can be calculated by the chloride ion diffusion theory equation, as shown in formula (1). According to this algorithm, the chloride ion diffusion coefficients of the pure slurry in the hydration age intervals of 28 days-90 days, 90 days-180 days, 180 days-365 days, 365 days-730 days, and 730 days-3285 days are calculated to be 26.5×10 -12 m 2 / s, 24.9×10 -12 m 2 / s, 22.4×10 -12 m 2 / s, 19.2×10 -12 m 2 / s and 17.8×10 -12 m 2 / s.
[0070] Table 1 Concrete mix ratio of exposure station / kg·m -3
[0071]
[0072] Table 2 Chloride ion diffusion coefficients of various phases in the slurry
[0073]
[0074]
[0075] According to the particle size and morphology parameters, gradation curve and dosage of concrete fine aggregate, a three-dimensional accumulation model of fine aggregate is established, such as Figure 3 (a) in the figure. The stacking structure is then meshed and the mortar is divided into three phases: pure paste matrix, fine aggregate and interface transition zone. In the mortar model, the chloride ion diffusion coefficient of the matrix is the calculation result of the pure paste scale, that is, the chloride ion diffusion coefficient of the pure paste in the hydration age ranges of 28d-90d, 90-180d, 180-365, 365-730d and 730d-3285d is 26.5×10 -12 m 2 / s, 24.9×10 -12 m 2 / s, 22.4×10 -12 m 2 / s, 19.2×10 -12 m 2 / s and 17.8×10 -12 m 2 / s. The fine aggregate is river sand, which is a non-transport phase, and the diffusion coefficient of the interface transition zone is consistent with that of the matrix. The chloride ion transport behavior of the mortar at different hydration ages is simulated using ABAQUS software. The simulation results of chloride ion transport of the mortar at 28d hydration age are shown in the figure. Figure 3 According to the above method and combined with the chloride ion diffusion theory equation, the chloride ion diffusion coefficients of mortar in the hydration age ranges of 28d-90d, 90-180d, 180-365, 365-730d and 730d-3285d are calculated to be 13.6×10 -12 m 2 / s, 12.1×10 -12 m 2 / s, 10.4×10 -12 m 2 / s, 8.7×10 -12 m 2 / s and 6.2×10 -12 m 2 / s.
[0076] According to the particle size and morphology parameters, gradation curve and dosage of concrete coarse aggregate, a three-dimensional accumulation model of coarse aggregate is established, such as Figure 4(a) in the figure. The stacking structure is then meshed and the concrete is divided into three phases: mortar matrix, coarse aggregate and interface transition zone. In the concrete model, the aggregate is basalt crushed stone, so it is a non-transport phase. The diffusion coefficient of the interface transition zone is calculated using formula (5). The chloride ion diffusion coefficients of the mortar in the hydration age ranges of 28d-90d, 90-180d, 180-365, 365-730d and 730d-3285d are 13.6×10 -12 m 2 / s, 12.1×10 -12 m 2 / s, 10.4×10 -12 m 2 / s, 8.7×10 -12 m 2 / s and 6.2×10 -12 m 2 / s, and then the chloride ion transport simulation was carried out by bringing it into the concrete model. The chloride ion concentration distribution of the concrete at the exposure age of 3285d was obtained as follows Figure 4 Combined with the chloride ion diffusion theory equation, the chloride ion diffusion coefficient of concrete under 3285d condition is calculated to be 3.6×10 -12 m 2 / s.
[0077] D MITZ =D m ×(139.4 / t ITZ +1.0) (5)
[0078] Where D MITZ is the chloride ion diffusion coefficient in the interface transition zone; D m is the chloride ion diffusion coefficient of the mortar matrix; t ITZ is the thickness of the interface transition zone.
[0079] The actual chloride ion diffusion coefficient in the concrete of the exposure station was measured by chemical analysis test to be 2.8×10 -12 m 2 / s, the diffusion coefficient calculated in this embodiment is compared with the test result, and the ratio of the two is 1.29, indicating that the diffusion coefficient of concrete in the actual chloride ion environment is 1.29 times that under indoor curing conditions, thereby determining the indoor and outdoor similarity relationship of the chloride ion diffusion coefficient in this service area.
[0080] Example 3
[0081] In this embodiment, a system for calculating indoor and outdoor similarity relationships of concrete durability parameters in a marine environment is proposed, including:
[0082] Calculation module of chloride ion diffusion coefficient of pure paste: divide the hydration age of concrete, and establish the concrete microstructure model under different hydration age conditions according to the composition of concrete cementitious materials; based on the microstructure model, establish the finite element model of pure paste to simulate the chloride ion transmission process in pure paste, and use the chloride ion diffusion theory equation to calculate the chloride ion diffusion coefficient of pure paste under different hydration age conditions;
[0083] Mortar chloride ion diffusion coefficient calculation module: According to the morphological characteristics, gradation and dosage of concrete fine aggregate, a three-dimensional stacking model of fine aggregate is established, and a mortar finite element model is established. The net paste chloride ion diffusion coefficient is substituted into the mortar finite element model for transmission simulation to obtain the mortar chloride ion diffusion coefficient under different hydration ages;
[0084] Concrete chloride ion diffusion coefficient calculation module: According to the morphological characteristics, gradation and dosage of concrete coarse aggregate, a three-dimensional coarse aggregate stacking model is established, and a concrete finite element model is established. The mortar chloride ion diffusion coefficient is substituted into the concrete finite element model for transmission simulation to obtain the concrete chloride ion diffusion coefficient at a certain exposure age;
[0085] Also, similarity relationship calculation module: compare the chloride ion diffusion coefficient of concrete in the actual service area with the simulated concrete chloride ion diffusion coefficient to obtain the indoor and outdoor similarity relationship of the concrete chloride ion diffusion coefficient.
[0086] The method of the present invention may be implemented in hardware, firmware, or as software or computer code that may be stored in a recording medium (such as a CDROM, RAM, floppy disk, hard disk, or magneto-optical disk), or as computer code that is originally stored in a remote recording medium or a non-temporary machine-readable medium downloaded over a network and will be stored in a local recording medium, so that the method described herein may be stored in such software processing on a recording medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware (such as an ASIC or FPGA). It is understood that a computer, processor, microprocessor controller, or programmable hardware includes a storage component (e.g., RAM, ROM, flash memory, etc.) that can store or receive software or computer code, and when the software or computer code is accessed and executed by a computer, processor, or hardware, the method described herein is implemented. In addition, when a general-purpose computer accesses the code for implementing the method shown herein, the execution of the code converts the general-purpose computer into a dedicated computer for executing the method shown herein.
[0087] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments, and the above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, and these changes and improvements all fall within the scope of the present invention to be protected.
Claims
1. A method for calculating the indoor and outdoor similarity relationship of concrete durability parameters under marine environment, characterized in that: The following steps are involved: The hydration age of concrete is divided, and the concrete microstructure model under different hydration age conditions is established according to the composition of concrete cementitious materials; Based on the microstructure model, a finite element model of the pure pulp was established to simulate the chloride ion transmission process in the pure pulp, and the chloride ion diffusion coefficient of the pure pulp under different hydration ages was calculated using the chloride ion diffusion theory equation. According to the morphological characteristics, gradation and dosage of concrete fine aggregate, a three-dimensional stacking model of fine aggregate is established, and a finite element model of mortar is established, and the chloride ion diffusion coefficient of the net paste is substituted into the finite element model of mortar for transmission simulation to obtain the chloride ion diffusion coefficient of mortar under different hydration ages; According to the morphological characteristics, gradation and dosage of concrete coarse aggregate, a three-dimensional stacking model of coarse aggregate is established, and a concrete finite element model is established. The chloride ion diffusion coefficient of the mortar is substituted into the concrete finite element model for transmission simulation to obtain the chloride ion diffusion coefficient of the concrete at a certain exposure age; The chloride ion diffusion coefficient of concrete in the actual service area is compared with the simulated concrete chloride ion diffusion coefficient to obtain the indoor and outdoor similarity relationship of the chloride ion diffusion coefficient of concrete.
2. The method for calculating indoor and outdoor similarity relationship of concrete durability parameters under marine environment according to claim 1 is characterized in that: The concrete microstructure model under different hydration ages was established using CEMHYD3D.
3. The method for calculating indoor and outdoor similarity relationship of concrete durability parameters under marine environment according to claim 2 is characterized in that: The microstructure model was embedded into ABAQUS software using Visual Studio C++ programming to generate a finite element model of the clean slurry, and the Mass Diffusion module in ABAQUS was used to simulate the chloride ion transport of the clean slurry.
4. The method for calculating indoor and outdoor similarity relationship of concrete durability parameters under marine environment according to claim 1 is characterized in that: The chloride ion diffusion theoretical equation is: Where C0 is the initial chloride ion concentration, C s is the surface chloride ion concentration, D is the diffusion coefficient, t is the exposure age, x is the chloride ion diffusion depth, and C(x,t) is the chloride ion concentration at the exposure age t and the diffusion depth x.
5. The method for calculating indoor and outdoor similarity relationship of concrete durability parameters under marine environment according to claim 1, characterized in that: Visual Studio C++ is used to establish the three-dimensional stacking model of the fine aggregate particles, and ABAQUS is used to generate a finite element model of the mortar; Visual Studio C++ was used to establish the three-dimensional random stacking model of coarse aggregate, and ABAQUS was used to generate a finite element model of concrete.
6. The method for calculating indoor and outdoor similarity relationship of concrete durability parameters under marine environment according to claim 1, characterized in that: The chloride ion diffusion coefficient of the concrete in the actual service area is calculated and obtained by a literature survey or experimental test method.
7. A similarity calculation system for indoor and outdoor concrete durability parameters under marine environment, characterized in that: include: Net paste chloride ion diffusion coefficient calculation module: divide the hydration age of concrete, and establish the concrete microstructure model under different hydration age conditions according to the composition of concrete cementitious materials; Based on the microstructure model, a finite element model of the pure pulp was established to simulate the chloride ion transmission process in the pure pulp, and the chloride ion diffusion coefficient of the pure pulp under different hydration ages was calculated using the chloride ion diffusion theory equation. Mortar chloride ion diffusion coefficient calculation module: According to the morphological characteristics, gradation and dosage of concrete fine aggregate, a three-dimensional stacking model of fine aggregate is established, and a mortar finite element model is established. The net paste chloride ion diffusion coefficient is substituted into the mortar finite element model for transmission simulation to obtain the mortar chloride ion diffusion coefficient under different hydration ages; Concrete chloride ion diffusion coefficient calculation module: According to the morphological characteristics, gradation and dosage of concrete coarse aggregate, a three-dimensional coarse aggregate stacking model is established, and a concrete finite element model is established. The mortar chloride ion diffusion coefficient is substituted into the concrete finite element model for transmission simulation to obtain the concrete chloride ion diffusion coefficient at a certain exposure age; Also, similarity relationship calculation module: compare the chloride ion diffusion coefficient of concrete in the actual service area with the simulated concrete chloride ion diffusion coefficient to obtain the indoor and outdoor similarity relationship of the concrete chloride ion diffusion coefficient.
8. A computer storage medium storing a readable program, characterized in that: When the program is running, the method for calculating the indoor and outdoor similarity relationship of concrete durability parameters in a marine environment as described in any one of claims 1 to 6 can be executed.
9. An electronic device, characterized in that: include: A processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus; The memory is used to store at least one executable instruction, and the executable instruction enables the processor to perform operations corresponding to the method for calculating indoor and outdoor similarity relationships of concrete durability parameters under a marine environment according to any one of claims 1 to 6.
10. A computer program product comprising computer instructions, characterized in that: The computer instructions instruct the computing device to execute operations corresponding to the method for calculating the indoor and outdoor similarity relationship of concrete durability parameters under a marine environment as described in any one of claims 1 to 6.
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