KR20200093221A - Method For Providing Reinforced Concrete Service Life Considering Climate Change and Crack Effect And Recording Medium Thereof - Google Patents

Abstract

According to the present invention, a model and a program for predicting the service life of reinforced concrete considering climate changes and cracks can accurately evaluate the service life of a reinforced concrete structure by predicting a carbonation degree of the reinforced concrete in response to carbon dioxide continuously increasing due to global warming and calculating the reinforcing bar corrosion possibility caused by the carbonation degree. The model and the program for prediction automatically calculate a service life prediction result of the reinforced concrete when mixing element information, crack information, and climate change information are inputted to allow non-experts without expert knowledge to easily use the model and the program for prediction. Also, the present invention can be applied to various climate change scenarios, concrete mixing and crack information, and various cement types, and has a trend almost similar to real test results to provide excellent accuracy. Therefore, the model and the program for predicting the service life of reinforced concrete considering climate changes and cracks are expected to be variously applied to the concrete material field to be used in safe structure construction in response to the climate changes.

Description

Method for Providing Reinforced Concrete Service Life Considering Climate Change and Crack Effect And Recording Medium Thereof}

The present invention relates to a method for providing an effective life of reinforced concrete in consideration of climate change and cracks and a medium recording the same.

Carbonation is a major factor in the reinforcing of reinforcing bars in reinforced concrete structures. When the carbonation process proceeds, the pH of the solution present in the pores of the concrete decreases to 9 levels, which destroys the passivation film protecting the reinforcing bar and induces corrosion of the reinforcing bar. Reinforced concrete structure has low tensile sensitivity, so there is a high probability of cracking due to initial load or environmental factors. When cracks occur in the reinforced concrete structure, carbon dioxide in the air penetrates into the reinforced concrete. The infiltrated carbon dioxide accelerates the carbonation of cement to shorten the life of reinforced concrete.

Global warming continues to increase the concentration of carbon dioxide in the atmosphere and the average temperature of the earth. Therefore, in order to accurately predict the lifespan of reinforced concrete, it is necessary to closely observe the corrosion degree of reinforcing bars by considering the increase rate of carbon dioxide corresponding to climate change and the increase rate of carbonation of cement in the reinforced concrete as a variable.

Korean Registered Patent No. 10-1897551 discloses a program for developing a method for evaluating carbonation of high volume slag concrete in consideration of environmental factors including carbon dioxide concentration and using it to predict the carbonation depth of concrete; Papadakis (2000) has studied the diffusion coefficient of carbon dioxide and the carbonation resistance of concrete depending on the composition of the concrete and the surrounding environment; Song et al. (2006) conducted a simulation study on the carbonation depth of cracked reinforcing concrete and crackless reinforcing concrete.

However, the preceding study provides only prediction results of the degree of carbonation over time for a given concentration of carbon dioxide, and does not take into account the constantly changing concentration of carbon dioxide in the atmosphere due to global warming and climate change. Therefore, the development of a method for predicting the degree of carbonation and predicting the life of reinforced concrete through the integrated reflection of the amount of carbon dioxide increased due to global warming and climate change and the hydration degree of cement according to the composition ratio, crack information of reinforced concrete need.

The patent documents and references mentioned in this specification are incorporated herein by reference to the same extent that each document is individually and clearly specified by reference.

Korean Registered Patent No. 10-1897551

Papadakis, V.G. Cem. Concr. Res. 2000, 30, 291-299. Song, H.W., et, al. Cem. Concr. Res. 2006, 36, 979-989.

In order to solve the above problems, the present invention provides a method for predicting the effective life of reinforced concrete in consideration of climate change and cracking, including a cement hydration model and a carbonation reaction model, and a program using the same.

The carbonation reaction model of the present invention predicts the degree of carbonation by simultaneously reflecting the increasing trend of carbon dioxide concentration according to the crack information of the concrete and the greenhouse gas scenario, and thus can more accurately predict the useful life of the reinforced concrete.

Accordingly, an object of the present invention is to input the compounding element information, crack information, and climate change information of concrete, and calculate the possibility of corrosion and the useful life over time of the reinforced concrete by using the predictive model for effective life of reinforced concrete considering climate change and cracking. Later it is to provide a method and a program for predicting the useful life of reinforced concrete providing it on the screen.

Other objects and technical features of the present invention are presented in more detail by the following detailed description of the invention, claims and drawings.

In the present invention, when a program for providing predicted useful life of reinforced concrete considering climate change and cracks is executed in a computer, the program provides a blending element information input window, crack information input window and climate change information input window on the screen. ; When compounding element information, crack information, and climate change information are input to the compounding element information input window, crack information input window, and climate change information input window, the reinforced concrete effective life prediction model considering climate change and cracking is used Calculating the possibility of corrosion and the useful life over time; And providing the calculated result on a screen. A method for predicting a useful life of reinforced concrete considering a climate change and cracks, and a program thereof.

으로 표현되며 상기 P _f 는 부식 발생 확률을 의미하고, 상기 g(t)는 부식발생 기준을 의미하며, 상기 N은 몬테카를로 방법의 계산횟수를 의미하는 것을 특징으로 한다.The model for predicting the useful life of reinforced concrete considering the climate change and crack is the Monte Carlo method equation:

It is characterized in that the P _f is a probability of corrosion occurrence, the g(t) is a corrosion occurrence criterion, and the N is a number of calculations of the Monte Carlo method.

In addition, the step of calculating the possibility of corrosion and the useful life of the reinforced concrete over time calculates the amount of cement hydration ( α ), the amount of voids ( ε ), and the amount of substances (CH and CSH) that can occur in the carbonation reaction and uses them. Calculating an equivalent carbon dioxide diffusion index ( D _eq ); The equivalent carbon dioxide diffusion index ( D _eq ), the amount of carbon dioxide, and the amount of substances (CH and CSH) that can be generated by the carbonation reaction are calculated, and the carbonation depth ( CR ) and carbonation depth increase ( dx _c ) are calculated using this. To do; And calculating the corrosion occurrence criterion ( g(t) ) in consideration of the carbonation depth ( x _c ) and the coating thickness of the concrete ( CV ), and calculating the corrosion potential and effective life of the reinforced concrete by using the Monte Carlo method. It includes more.

Reinforced concrete effective life prediction model and program in consideration of climate change and crack of the present invention predict the degree of carbonation of reinforced concrete in response to continuously increasing carbon dioxide due to global warming and calculate the possibility of reinforcing reinforcing steel, so that the reinforced concrete structure It has the advantage of more accurately evaluating the useful life.

The predictive model and program of the present invention has an advantage that non-experts without specialized knowledge can easily use the result because the effective life prediction result of reinforced concrete is automatically calculated by adding only compounding factor information, crack information, and climate change information.

In addition, it is applicable to various climate change scenarios, concrete mixing and cracking information, and various types of cement, and it has the advantage of being very accurate because it shows a tendency almost similar to the actual experimental results.

Therefore, it is expected that the effective model and program for predicting the effective life of reinforced concrete considering climate change and cracks of the present invention can be applied to a variety of concrete materials and be used for constructing safe structures in response to climate change.

1 shows a result of predicting a change in carbon dioxide concentration and air temperature in air according to a greenhouse gas scenario (RCP).
Figure 2 shows the flow chart of the predicted useful life of concrete reinforcement concrete considering the climate change and cracks of the present invention.
3 shows a screen in which the effective life prediction program for reinforced concrete considering the climate change and crack of the present invention is executed.
Figure 4 shows a screen in which the calculation results of the reinforced concrete effective life prediction program considering the climate change and cracks of the present invention is output.
Figure 5 shows the results of the calculation results of the calculation program of the reinforced concrete effective life prediction program considering the climate change and cracks of the present invention in Excel format.
Figure 6 shows the steps of calculating the possibility of reinforcing bar corrosion and the useful life of reinforcing bar concrete in a predicting program for effective life of reinforced concrete considering climate change and cracking of the present invention.
7 shows the results of comparing the carbonization depth prediction result calculated by the reinforced concrete effective life prediction program considering the climate change and cracking of the present invention and the carbonization depth measurement result experimentally analyzed.
Figure 8 shows the results of analyzing the parameters of the effective life prediction program for reinforced concrete considering the climate change and cracks of the present invention.

The present invention can be applied to various changes and can have various embodiments, and specific embodiments will be illustrated in the drawings and described in detail. It should be understood that the above description is not intended to limit the invention to specific embodiments, and includes all modifications, equivalents, or substitutes included in the spirit and scope of the invention.

The terms used in this application are only used to describe specific embodiments, and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly indicates otherwise. In this application, terms such as “include” or “have” are intended to indicate that a feature, number, step, operation, component, part, or combination thereof described in the specification exists, or one or more other features or It should be understood that the existence or addition possibilities of numbers, steps, actions, components, parts or combinations thereof are not excluded in advance.

Also, unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by a person skilled in the art to which the present invention pertains. Terms such as those defined in a commonly used dictionary should be interpreted as having meanings consistent with meanings in the context of related technologies, and should not be interpreted as ideal or excessively formal meanings unless explicitly defined in the present application. Does not.

In describing with reference to the accompanying drawings, the same reference numerals are assigned to the same components regardless of reference numerals, and redundant descriptions thereof will be omitted. In the description of the present invention, when it is determined that the detailed description of the related known technology may unnecessarily obscure the subject matter of the present invention, the detailed description will be omitted.

In the present invention, a subject performing a method for providing an effective life of reinforced concrete in consideration of climate change and cracking may be a system that drives a program. The system may be a controller or processor that controls the overall system or device for driving a program. Therefore, the method for providing effective life of reinforced concrete considering climate change and cracks of the present invention is composed of a program that is a kind of software, and the program can be executed in a system, a computer, or a processor.

In the present invention, a subject that performs a method for providing an effective life of reinforced concrete in consideration of climate change and cracks may be any computer device. The computer device may be a computer, a controller or a processor of the computer.

The present invention relates to a method for providing an effective life of reinforced concrete in consideration of climate change and cracking. The reinforced concrete has a characteristic that a large number of cracks occur because the tensile strength is weak. Carbon dioxide in the air can penetrate into the concrete through the crack. The carbon dioxide penetrated through the cracks reacts with calcium hydroxide in concrete to rapidly carbonize it into calcium carbonate. The carbonation reaction causes the pH of the solution present in the inner pores to drop to 9 levels, and the solution of the pores with the reduced pH destroys the passivation film protecting the reinforcing bar and induces corrosion of the reinforcing bar. When the reinforcing bar is corroded, the expansion pressure of the reinforcing bar is generated by rust, which further induces cracking of the concrete inside the concrete, thereby reducing the service life of the reinforced concrete.

Due to climate change such as global warming, the concentration of carbon dioxide in the air and the temperature of the air are constantly increasing. Is the concentration and temperature change of the carbon dioxide constantly threatening the global ecosystem? In response, international environmental organizations have prepared greenhouse gas scenarios to be used as basic data for national environmental policies. A representative greenhouse gas scenario is the representative concentration pathways (RCP) scenario. The RCP scenario is an indicator for determining greenhouse gas emission reduction policies by socio-economic sector as a countermeasure of the result by calculating the climate change scenario after setting the greenhouse gas concentration value.

According to the RCP scenario, the concentration and temperature of carbon dioxide present in the air tends to increase continuously (see FIG. 1). The RCP scenario is a scenario in which the Earth itself can recover the effects of human activities (RCP 2.6), a scenario in which a GHG reduction policy is implemented considerably (RCP 4.5), and a greenhouse gas emission in a current trend without reduction. There is a scenario (RCP 8.5). In the present invention, the RCP scenario is used as climate change information to predict and provide a change in the useful life of reinforced concrete due to the carbonation reaction of carbon dioxide.

Figure 2 shows a flow chart of a method for predicting the effective life of reinforced concrete considering climate change and cracks of the present invention.

When a program for providing a predicted useful life of reinforced concrete in consideration of climate change and cracks is executed in a computer (S210), the program enters a blending element information input window for inputting a numerical value of blending elements for manufacturing concrete, and the occurrence of cracks. A crack information input window for inputting a numerical value and a climate change information input window for selecting an RCP scenario are provided on the screen (S220).

The mixing element information input window includes an input window for inputting values of water, cement, fine aggregate, coarse aggregate, and curing period before carbonation, respectively. The input window includes an input window for entering numerical values of crack width and crack depth, and the climate change information input window is an input for selecting one of RCP 2.6, RCP 4.5 and RCP 8.5. Includes a window.

When the input is completed through the compounding element information input window, the crack information input window and the climate change information input window (S230), the program uses the reinforced concrete effective life prediction model in consideration of climate change and cracks at the time of the reinforced concrete. Corrosion potential and durability life are calculated (S240). The calculated result is provided on the screen (S250).

3 shows a screen in which a program for providing an effective life of reinforced concrete considering the climate change and cracks of the present invention is executed. Enter the numerical values of water, cement, fine aggregate, coarse aggregate, and curing time befor carbonation (days) in the composite miture window. An input window is included. The crack and exposure conditions are located below the blending element information input window. The crack and exposure information input window is composed of a crack information input window and a climate change information input window. The crack information input window may input numerical values of crack width and crack depth, and the climate change information input window may be input by selecting RCP.

On the side of the crack and exposure information input window is a window displaying a calculation result in a graph, and below the crack and exposure information input window is an execution button for executing a program after all information is input.

Figure 4 shows that the information used in the example is input and the possibility of corrosion over time of the reinforced concrete calculated through calculation is output in a graph form.

5 shows a result of converting the result output in the form of a graph into an Excel format and storing the result. The result stored in the Excel can be processed by extracting only the desired data through the Excel program, and editing and editing of the data is also possible.

The model for predicting the effective life of reinforced concrete considering climate change and crack of the present invention is a method for calculating the durability life of carbonation using a stochastic method. The present invention calculates the probability of corrosion of reinforcing bars in reinforced concrete according to the carbonation reaction through the Monte Carlo method. The calculation result indicates that the service life corresponding to P _{f =0.1} is the durability of the concrete.

The method for predicting the effective life of reinforced concrete considering climate change and crack of the present invention is expressed by the following equation (1).

The P _f represents the probability of corrosion occurrence, the g (t) represents the corrosion occurrence criterion in consideration of the coating thickness of the concrete and the carbonation depth, and the N represents the number of calculations of the Monte Carlo method.

Among the methods for predicting the effective life of reinforced concrete considering the climate change and cracking, the step of calculating the possibility of corrosion and the useful life over time of the reinforced concrete may include the following detailed steps (see FIG. 6):

Calculating the amount of cement hydration ( α ), the amount of voids ( ε ), and the amount of substances (CH and CSH) that can be generated by a carbonation reaction, and calculating an equivalent carbon dioxide diffusion index ( D _eq ) using the same;

Calculate the equivalent carbon dioxide diffusion index ( D _eq ), the amount of carbon dioxide, and the amount of substances (CH and CSH) that can be generated by the carbonation reaction, and use it to calculate the carbonation depth ( CR ) and carbonation depth increase ( dx _c ) To do; And

Calculating the corrosion occurrence criterion ( g(t) ) in consideration of the carbonation depth ( x _c ) and the coating thickness of the concrete ( CV ), and calculating the corrosion potential and effective life of the reinforced concrete by using the Monte Carlo method.

Hereinafter, a model for predicting the useful life of reinforced concrete considering the climate change and cracking will be described in detail.

1. Hydration reaction model

1.1. Cement hydration model

The water transfer reaction model applied in this model is a shrinking-core model. The model is expressed by Equation 2 below.

The k _d is the reaction coefficient, the D _e is the effective diffusion coefficient of moisture considering the CSH gel, the k _ri is the reaction rate coefficient of the inorganic compound of cement, and the α is the weight fraction of the inorganic compound ( g _i ) means the degree of cement hydration that can be calculated from the reactivity of the inorganic compound ( α _i ), ν is the stoichiometric ratio of water and cement (=0.25), and w _g is the CSH gel It means the number of physical chemical bonds (=0.15), the ρ _c and ρ _W each indicate the density of cement and water, the C _w-free means the total amount of external moisture of the CSH gel, and the r ₀ is unknown It means the radius of the cement particles, S _w is the effective surface area of the cement in contact with water, and S ₀ is the total surface area.

In addition, the cement hydration degree ( α ) is calculated by the method of Equation 3 below.

The g _i refers to the weight fraction of the inorganic compound and the α _{i (i=1,2,3, and 4)} is an inorganic compound cement component (cement C ₃ S, C ₂ S, C ₃ A, and C ₄ AF).

1.2 Calculation formula for each coefficient in the sign language model

1.2.1 Reaction coefficient

The reaction coefficient ( k _d ) means the reaction coefficient and can be inferred from the equation for deriving the degree of hydration. The reaction coefficient is expressed by Equation 4 below.

The B and C respectively indicate an initial film formation rate and a film disintegration rate, and the α refers to a reactivity of C ₃ S, C ₂ S, C ₃ A, or C ₄ AF, which is a cement component.

1.2.2 Effective diffusion index of moisture

D _e means the effective diffusion coefficient of moisture considering the CSH gel and is expressed as in Equation 5 below.

The D _e represents the initial diffusion index, and the α represents the reactivity of the cement components C ₃ S, C ₂ S, C ₃ A, or C ₄ AF.

1.2.3 Capillary pore water

The water content of the cement is determined by the number of capillary pores present in the cement. Therefore, in the present invention, the total amount of external moisture ( C _w-free ) of the CSH gel was determined. The C _w-free is expressed by Equation 6 below.

The C ₀ and W ₀ mean the volume of cement and the volume of water, respectively, in the formulation, and r means the accessibility of moisture that can penetrate from the outer film of the cement particles to the unhydrated portion inside the cement. When the ratio of water and binder is 0.4 or more, r = 1.0, and when the ratio of water and binder is 0.4 or less, it is determined to be 1.0 or more through the formula r = 2.6-4 ( W ₀ /[ C ₀ +P]). The P refers to the volume of the mineral admixture.

1.2.4 Reaction index according to temperature

The reaction index according to temperature is expressed by the following equations 7, 8, 9 and 10 according to Arrhenius' law.

The B refers to the film forming rate, the B ₂₀ refers to the film forming rate at 20 °C, the β ₁ refers to the temperature sensitivity coefficient, and the T refers to the absolute temperature.

The C means a film disintegration rate, the C ₂₀ means a film disintegration rate at 20° C., the β ₂ means a temperature sensitivity coefficient, and the T means an absolute temperature.

The k _ri means the reaction rate coefficient of the inorganic compound of the cement, the k _ri20 means the reaction rate coefficient at 20° C., the β ₃ means the temperature sensitivity coefficient, and the T means the absolute temperature.

The D _e means the effective diffusion coefficient of moisture in consideration of the CSH gel, the D _e20 means the effective diffusion coefficient at 20° C., the β ₄ means the temperature sensitivity coefficient, and the T means the absolute temperature. do.

1.2.5 CH amount, CSH amount and concrete porosity

The amount of CH ( CH(t) ), the amount of CSH ( CSH(t) ) and the porosity of concrete ( ε(t) ) were calculated through the following equations 11, 12 and 13.

The RCH _CE means the volume of CH produced from 1 g of cement, the C ₀ means the volume of the cement, and the α means the degree of cement hydration.

The f _S,C refers to the amount of SiO _{2 in} the cement chemical composition, the C ₀ refers to the volume of the cement, and the α refers to the cement hydration degree.

The W means the volume of water, the ρ _W means the density of water, the C ₀ means the volume of cement, the α means the degree of cement hydration, and the △ ε _C is according to the carbonation reaction. Pore reduction.

2. Carbonation reaction model

2.1 Equivalent carbon dioxide diffusion index

The calculation of the equivalent carbon dioxide diffusion index ( D _eq ) was performed after calculating the carbon dioxide diffusion index ( D ) and the carbon dioxide diffusion index (D _cr /D ₂₈ ) of the cracked concrete.

First, the carbon dioxide diffusion index ( D ) of concrete without cracks was calculated. The calculation was performed using Equation 14 below.

The A is a coefficient related to the carbonation diffusion index, the ε is the porosity of concrete, the C ₀ and W ₀ are the volume of the cement and the water volume, respectively, in the formulation, and the ρ _c is ρ _W is Each means the density of cement and water, the α refers to the coefficient for the carbonation diffusion index, and the RH refers to the relative humidity.

Next, the carbon dioxide diffusion index (D _cr ) of the crack was calculated. The calculation was performed using Equation (15).

The D _cr refers to the carbon dioxide diffusion index of the cracked portion, the D ₂₈ refers to the carbon dioxide diffusion index of the concrete without curing heat on the 28th, and the W and C indicate the volume of moisture and cement.

The calculated carbon dioxide diffusion index ( D _eq ) was calculated by considering the calculated carbon dioxide diffusion index ( D ) and the carbon dioxide diffusion index (D _cr ) of the cracked portion as shown in Equation 16 below.

The D _cr refers to the carbon dioxide diffusion index of the crack, the D refers to the carbon dioxide diffusion index of the concrete without cracking, the ω means the width of the crack, and the ι means the distance between the cracks. do.

The effect of temperature on the carbon dioxide diffusion index was considered using the Arrhenius's Law equation. The effect of the carbon dioxide diffusion index with temperature ( D(T) ) is expressed by Equation 17 below.

The D _ref refers to the carbon dioxide diffusion index at the reference temperature, the D(T) refers to the carbon dioxide diffusion index at the T temperature, and the β refers to the active energy.

2.2 Carbonation depth calculation

The carbonation depth ( CR ) by carbon dioxide and the increase in carbonation depth ( dx _c ) with time were calculated. The calculation of the carbonation depth and the increase amount of carbonation depth was performed by equations 18 and 19.

The [ CO ₂ ] ₀ means the concentration of carbon dioxide, the D _eq means the equivalent carbon dioxide diffusion index, and the [CH] and [CSH] mean the amount of CH and CSH that can be generated by the carbonation reaction.

The CR means the carbonation depth, and the dt means the amount of time increase.

2.3 Calculating the endurance of carbonation using a stochastic method

The probability of corrosion of reinforcing bars in reinforced concrete according to the carbonation reaction is calculated through the Monte Carlo method. The calculation formula based on the probability of corrosion of reinforcing bars in reinforced concrete according to the carbonation reaction is shown in Equation 1. P _{f =0.1 The} corresponding service life is the durability of concrete. P _f in Equation 1 means the probability of corrosion occurrence, the g(t) means the corrosion occurrence criterion, and the N means the number of calculations of the Monte Carlo method. The corrosion occurrence criterion ( g(t) ) is expressed by Equation 20 below.

The CV means the coating thickness of the concrete and the x _c means the carbonation depth.

Example

Example 1: Calculation of carbonation depth of cracked concrete

Using the model equation of the present invention, the carbonation depth of the cracked concrete was calculated. The water-cement ratio (WC) of concrete was 0.45, 0.55, and 0.65, and the crack areas were 0 mm, 0.05 mm, 0.15 mm, and 0.25 mm. The calculation results were compared with the carbonation depth experimentally analyzed. 7 shows a result of comparing the carbonization depth of the concrete and the carbonization depth experimentally analyzed using the model formula of the present invention (see FIG. 7).

Example 2: Prediction of the service life of carbonation of cracked concrete

Using the cement hydration model and carbonation model, a carbonation life prediction program was developed and the service life of the cracked concrete was predicted. The interface of the program is shown in FIG. 3. Climate change scenarios used RCP 4.5, RCP 8.5, and RCP 2.6. After entering the concrete formulation, external environmental conditions and climate change scenario information, the program was run to predict the endurance life.

Figure 4 shows the results of the actual execution of the program. In FIG. 4, water-cement ratio (W/C) 0.45, crack width 0.1, cover depth 35 mm, and climate scenario RCP 4.5 were set. As a result of the program execution, the endurance life was 29.889 years when climate change was not considered, and the endurance life was 26.876 years when climate change was considered, and the endurance life was predicted to decrease by 10% due to climate change. Additionally, after setting the water-cement ratio of 0.45 or 0.65, crack width of 0.05, 0.15, or 0.25, cover thickness of 25 or 35 mm, and climate scenario RCP 8.5, the program was run to predict the endurance life. The calculation results are shown in Table 1 below.

As a result of the calculation, it was confirmed that the endurance life in the case of considering climate change decreases compared to the endurance life without considering climate change.

Parametric analysis of the effective life prediction program for reinforced concrete considering climate change and crack of the present invention was performed. To this end, the ratio of the endurance life considering climate change and the endurance life not considering climate change, that is, the relative endurance life was calculated and analyzed.

8 shows the results of calculating the relative endurance life. As a result of analysis, it was confirmed that the relative endurance life decreased linearly with increasing endurance life without considering climate change.

In summary, the reinforced concrete effective life prediction model and program in consideration of climate change and crack of the present invention have the advantage that non-experts without expert knowledge can easily use it because only the above parameters are included and the endurance life prediction result is automatically calculated.

In addition, it is applicable to various climate change scenarios, concrete mixing and cracking information, and various types of cement, and it has the advantage of being very accurate because it shows a tendency almost similar to the actual experimental results.

Therefore, it is expected that the effective model and program for predicting the effective life of reinforced concrete considering climate change and cracks of the present invention can be applied to a variety of concrete materials and be used for constructing safe structures in response to climate change.

The specific embodiments described herein are meant to represent preferred embodiments or examples of the present invention, and the scope of the present invention is not limited thereby. It is apparent to those skilled in the art that modifications and other uses of the present invention do not depart from the scope of the invention described in the claims of this specification.

Claims (7)

In the method of predicting the useful life of reinforced concrete considering climate change and cracks,
When a program for providing a predicted useful life of reinforced concrete considering climate change and cracks is executed in a computer, the program provides a blending element information input window, crack information input window and climate change information input window on the screen;
When the compounding element information, crack information, and climate change information are input to the compounding element information input window, the crack information input window, and the climate change information input window, respectively, a reinforced concrete effective life prediction model considering climate change and cracking is used. Calculating the possibility of corrosion and the useful life of reinforced concrete over time; And
Providing the calculated result on a screen;
Method for predicting the useful life of reinforced concrete considering climate change and cracking.
The input window of claim 1, wherein the input window for the blending element information inputs water, cement, fine aggregate, coarse aggregate, and curing period values before carbonation, respectively. Method for predicting the useful life of reinforced concrete considering climate change and cracks, characterized by including.
The method of claim 1, wherein the crack information input window includes an input window capable of inputting numerical values of crack width and crack depth, and the effective life of reinforced concrete in consideration of climate change and cracking. Prediction method.
The method of claim 1, wherein the climate change information input window includes an input window capable of inputting numerical values of representative concentration pathways.
According to claim 1, Reinforced concrete effective life prediction model considering the climate change and crack Monte Carlo method (monte carlo method) equation:

Reinforced concrete considering climate change and crack, characterized in that the P _f is the probability of corrosion occurrence, the g(t) is the corrosion occurrence criterion, and the N is the number of calculations of the Monte Carlo method. Effective life prediction method.
According to claim 1, The calculated results are output in the form of a graph or the data output in the form of a graph can be converted into an Excel file format and stored, thereby predicting the effective life of reinforced concrete considering climate change and cracks. Way.
A computer-readable recording medium recording a program capable of executing the method of claim 1 with a computer.

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