Earth-rock dam construction rolling parameter optimization method

Abstract

The present application relates to a kind of earth-rock dam construction rolling parameters optimization method, comprising: S1, establishing compaction quality evaluation model;S2, earth-rock dam material rolling construction efficiency measurement;S3, establish rolling parameter optimization model;S4, optimization model solution.The present application seeks optimal rolling parameter combination while taking into account construction efficiency and compaction quality, provides an effective way for determining reasonable and efficient earth-rock dam rolling parameter combination.

Description

Technical Field

[0001] The invention belongs to the technical field of earth and rock material rolling quality control in earth and rock dam construction, and in particular relates to a method for optimizing rolling parameters in earth and rock dam construction. Background Art

[0002] Rolling parameters and rolling technology directly affect the compaction quality of earth-rock dam soil, have a significant impact on the deformation behavior of earth-rock dam during construction and operation, and are the key to controlling the uneven settlement of earth-rock dam.

[0003] Currently, the stepwise convergence method is commonly used in engineering to determine the combination of compaction parameters (such as travel speed, vibration frequency, and loose paving thickness). This method involves varying one compaction parameter at a time while holding the others constant. Once the optimal value of a single compaction parameter is achieved, it is fixed and the next parameter is varied until a set of optimal compaction parameters is finally achieved. This approach considers each compaction parameter independently, but in reality, the compaction degree of soil and rock depends on the combined effects of multiple compaction parameters. A change in one compaction parameter affects the values ​​of the others. Therefore, the stepwise convergence method can only yield a locally optimal or temporarily feasible compaction parameter combination, but cannot guarantee a global optimality. Furthermore, in actual construction, efficiency must be considered in addition to compaction quality.

[0004] Therefore, in order to solve the above problems, a new method for optimizing the compaction parameters of earth-rock dams is proposed. Summary of the Invention

[0005] The purpose of the present invention is to overcome the shortcomings of the existing technology and provide a method for optimizing the compaction parameters of earth-rock dam construction. While taking into account construction efficiency and compaction quality, the method seeks the optimal combination of compaction parameters, providing an effective way to determine a reasonable and efficient combination of compaction parameters for earth-rock dams.

[0006] The present invention solves the technical problem by the following technical solutions:

[0007] A method for optimizing compaction parameters for earth-rock dam construction is proposed. Based on field compaction tests, the method establishes a compaction quality assessment model to correlate different compaction parameters and compaction processes. Under compaction quality constraints, a compaction parameter optimization model is established with the goal of maximizing construction efficiency. By solving the model, a globally optimal compaction parameter combination that balances compaction quality and construction efficiency is obtained.

[0008] The steps of the method are:

[0009] S1. Establish a compaction quality assessment model: Conduct field compaction tests and test pit tests to collect data on the compaction quality of multiple sets of earth-rock dam materials and the corresponding compaction parameters at the collection locations, including the roller tonnage W, roller travel speed v, number of rolling passes N, loose laying thickness h, and moisture content ω of the earth-rock dam materials.

[0010] The relationship between the above rolling parameters and the compaction quality D is analyzed to establish a quantitative model between the two:

[0011] D=f(W,N,h,ω,v) (1)

[0012] The above quantitative model is established by a multiple regression method;

[0013] S2, earth-rock dam material rolling construction efficiency measurement

[0014] The earth-rock dam material rolling construction efficiency E is measured by the amount of earth-rock paving per unit time, and is calculated as follows:

[0015]

[0016] Where: the paving volume V=LBh;

[0017] The rolling time T=LN / v;

[0018] L represents the rolling length;

[0019] B represents the width of the rolling wheel;

[0020] S3, establish a rolling parameter optimization model

[0021] Under the premise of ensuring the compaction quality, taking each rolling parameter as a variable, seeking its reasonable value to maximize the construction efficiency, and establishing a rolling parameter optimization model:

[0022]

[0023] Where: Min represents the minimization of the target;

[0024] G represents the reciprocal of the rolling construction efficiency;

[0025] D is the compaction quality, (degree of compaction or dry density);

[0026] D0 is the standard compaction quality required by construction (standard degree of compaction or standard dry density);

[0027] W i , i=1,2,..n, is the number of different rolling machine tonnage;

[0028] h min , h max is the minimum and maximum value of the loose paving thickness;

[0029] ω min , ω max is the minimum and maximum value of the moisture content of the soil material;

[0030] v min , vmax is the minimum and maximum value of the travel speed;

[0031] N min 、N max is the minimum and maximum number of rolling passes;

[0032] S4. Optimization model solution

[0033] The single-objective optimization algorithm is used to solve the compaction parameter optimization model and obtain the optimal compaction parameter combination N. * 、W * 、v * 、h * 、ω * And the corresponding maximum construction compaction efficiency E * ; N * 、W * 、v * 、h * and ω * They represent the optimal number of rolling passes, optimal machine tonnage, optimal travel speed, optimal loose paving thickness and optimal soil moisture content respectively, and determine the optimal rolling parameter combination while ensuring compaction quality and rapid filling.

[0034] The positive effects that the present invention can produce are:

[0035] 1. The present invention aims to optimize the rolling parameters under the premise of meeting the compaction quality requirements and efficient construction, and provide a basis for rationally formulating the rolling parameter control standards, thereby ensuring the fast and good construction of earth-rock dams.

[0036] 2. The present invention establishes an optimization model for earth-rock dam compaction parameters to seek global optimal compaction parameters, thereby overcoming the limitation that the compaction parameters determined by the conventional stepwise convergence method have local optimality.

[0037] 3. The present invention takes into account the work efficiency problem during the earth-rock dam rolling construction process, and realizes rapid construction while ensuring the compaction quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 Flowchart of the present invention. DETAILED DESCRIPTION

[0039] The present invention will be further described in detail below through specific examples. The following examples are only illustrative and not restrictive, and the scope of protection of the present invention cannot be limited thereto.

[0040] like Figure 1As shown in FIG, a method for optimizing rolling parameters for earth-rock dam construction is innovative in that: a compaction quality evaluation model is established based on rolling test results; a standard optimization model for rolling parameter control that takes into account both compaction quality and construction efficiency is established, further constrained by conditions such as compaction degree; and finally, an algorithm for optimizing rolling parameters is designed. The steps of the method are as follows:

[0041] Step 1: Establish a compaction quality assessment model

[0042] First, a field compaction test is conducted by conducting a test pit test to collect enough sets of soil compaction quality and the compaction parameters corresponding to the collection location, including: the mechanical tonnage W of the roller, the travel speed v of the roller, the number of rolling passes N, the loose laying thickness h of the soil, and the moisture content ω of the soil.

[0043] Then, the relationship between the above rolling parameters and compaction quality D (dry density or compaction degree) is analyzed, and a quantitative model between the two is established:

[0044] D=f(W,N,h,ω,v)

[0045] The above quantitative model is established through the multiple regression method: taking each rolling parameter as a variable, a multiple regression equation of compaction quality is constructed, and the X matrix, Y matrix, regression coefficient β matrix and error matrix ε are further constructed. The multiple regression model of compaction quality can be written as:

[0046] Y=X·β+ε

[0047] The error ε follows a normal distribution with an expected value of 0, and the regression coefficient β matrix is ​​calculated using the least squares method:

[0048] β=(X T ·X) -1 ·X T ·Y

[0049] Finally, the compaction quality multivariate regression model was obtained.

[0050] Step 2: Measuring the efficiency of earth-rock dam material compaction construction

[0051] The construction efficiency E of earth-rock dam material rolling is measured by the volume of earth and rock paved per unit time and is calculated as follows:

[0052]

[0053] Among them: paving volume V = LBh; rolling time t = LN / v; L represents the rolling length; B represents the width of the roller.

[0054] Step 3: Establish a compaction parameter optimization model

[0055] The compaction quality evaluation model and the construction efficiency model are functions of the rolling parameters W, N, h, ω and v, so the optimization variable of the rolling parameter control standard optimization model is A = (W, N, h, ω, v), and each rolling parameter is determined according to the upper and lower limits based on engineering experience. Under the premise of ensuring the compaction quality (i.e. the compaction quality is not less than the standard compaction quality required by construction), the rolling parameters are taken as variables to seek their reasonable values so as to maximize the construction efficiency.

[0056] Thus, the following rolling parameter optimization model is established:

[0057]

[0058]

[0059] Wherein, Min represents the minimization of the target;

[0060] G represents the reciprocal of the rolling construction efficiency;

[0061] D is the compaction quality (compaction degree or dry density);

[0062] D0 is the standard compaction quality (standard compaction degree or standard dry density) required by construction;

[0063] W i , i = 1, 2, … n, is the tonnage of different rollers;

[0064] h min , h max are the minimum and maximum values of the loose laying thickness;

[0065] ω min , ω max are the minimum and maximum values of the moisture content of the soil material;

[0066] v min , v max are the minimum and maximum values of the traveling speed;

[0067] N min , N max are the minimum and maximum values of the rolling times.

[0068] Step four: solving the optimization model

[0069] The single-objective optimization algorithm is used to solve the rolling parameter optimization model to obtain the optimal rolling parameter combination N * , W * , v * , h * and v * and the corresponding maximum construction rolling efficiency E *If the model is a linear optimization problem, single-objective linear programming is used to solve it; if the model is a nonlinear optimization problem, genetic algorithm, simulated annealing algorithm or ant colony algorithm optimization method is used to solve it.

[0070] N * 、W * 、v * 、h * and ω * They represent the optimal number of rolling passes, optimal machine tonnage, optimal travel speed, optimal loose paving thickness and optimal soil moisture content respectively. Therefore, the optimal rolling parameter combination is determined while ensuring compaction quality and rapid filling.

[0071] According to the method described in this invention, for a reservoir expansion project in Tianjin, compaction parameters were optimized based on the compaction test pit data, and a compaction quality evaluation model was obtained:

[0072] y=89.1501+1.3747x1+1.1549x2-0.0428x3-16.8462x4-10.57x5

[0073] Among them: x1 represents the machine tonnage;

[0074] x2 represents the number of rolling times;

[0075] x3 represents the loose-laid thickness;

[0076] x4 represents the moisture content of soil;

[0077] x5 represents the travel speed.

[0078] Model determination coefficient R 2 The calculated compaction coefficient (C) is 0.925 and passes the F-test. The model shows that soil compaction increases with increasing machine tonnage, initially increases but then levels off with the number of compaction passes, and decreases with increasing loose paving thickness, moisture content, and roller speed. This is consistent with actual engineering practice. The average absolute error between the calculated and actual compaction degrees is 0.44%, and the maximum absolute error is 1.19%. This further demonstrates that the model has sufficient accuracy for subsequent evaluation and prediction.

[0079] The compaction parameter optimization model was solved according to the designed genetic algorithm, and finally a compaction parameter combination that can ensure both compaction quality and construction efficiency was found for the project: 22t roller, low-vibration rolling 4 times, loose paving thickness 44cm, moisture content 21.28%, and travel speed 2.32km / h. Among them, considering the actual construction process, the loose paving thickness should be controlled at about 45cm, the roller speed should be controlled between 2.3 and 2.5km / h, and the soil moisture content should be controlled between 21% and 22%. At this time, the optimal efficiency value under the corresponding optimal compaction parameter combination is 0.089m3 / s(the objective function value corresponds to 11.24s / m 3 ), which is 320.4m 3 / h (1 roller compactor).

[0080] Although the embodiments and drawings of the present invention are disclosed for illustrative purposes, those skilled in the art will understand that various substitutions, changes and modifications are possible without departing from the spirit and scope of the present invention and the appended claims. Therefore, the scope of the present invention is not limited to the contents disclosed in the embodiments and drawings.

Claims

1. A method for optimizing rolling parameters for earth-rock dam construction, characterized by: The method establishes a compaction quality assessment model based on field compaction tests to correlate different compaction parameters and compaction processes. A compaction parameter optimization model is established with the goal of maximizing construction efficiency while satisfying compaction quality constraints. By solving the model, a globally optimal compaction parameter combination that balances compaction quality and construction efficiency is obtained. The steps of the method are: S1. Establish a compaction quality assessment model: Conduct field compaction tests and test pit tests to collect data on the compaction quality of multiple sets of earth-rock dam materials and the corresponding compaction parameters at the collection locations, including the roller tonnage W, roller travel speed v, number of rolling passes N, loose laying thickness h, and moisture content ω of the earth-rock dam materials. The relationship between the above rolling parameters and compaction quality D is analyzed, and a quantitative model between the two is established: D=f(W,N,h,ω,v) (1) The above quantitative model was established by multiple regression method; S2. Measurement of construction efficiency of earth-rock dam material compaction The construction efficiency E of earth-rock dam material rolling is measured by the volume of earth and rock paved per unit time and is calculated as follows: Where: Paving volume V = LBh; Rolling time T = LN / v; L represents the rolling length; B represents the width of the roller; S3. Establishing a compaction parameter optimization model Under the premise of ensuring compaction quality, each rolling parameter is used as a variable to seek its reasonable value to maximize the construction efficiency and establish a rolling parameter optimization model: Among them: Min represents the objective minimization; G represents the inverse of rolling construction efficiency; D is the compaction quality, (compactness or dry density); D0 is the standard compaction quality required for construction (standard compaction degree or standard dry density); W i ,i=1,2,..n, represents the tonnage of different roller compactors; h min 、h max The minimum and maximum values ​​of loose paving thickness; ω min 、ω max is the minimum and maximum value of soil moisture content; v min 、v max is the minimum and maximum value of the travel speed; N min 、N max is the minimum and maximum number of rolling passes; S4. Optimization model solution The single-objective optimization algorithm is used to solve the compaction parameter optimization model and obtain the optimal compaction parameter combination N. * 、W * 、v * 、h * 、ω * And the corresponding maximum construction compaction efficiency E * ; N * 、W * 、v * 、h * and ω * They represent the optimal number of rolling passes, optimal machine tonnage, optimal travel speed, optimal loose paving thickness and optimal soil moisture content respectively, and determine the optimal rolling parameter combination while ensuring compaction quality and rapid filling.

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