CN112560142A - Irrigation sluice stilling basin and structural design and construction method thereof - Google Patents
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Abstract
The invention provides an irrigation sluice stilling basin and a structural design and construction method thereof, which can effectively improve the structural design level of an irrigation sluice and ensure the energy dissipation performance of the stilling basin. The design method comprises the following steps: establishing a design parameter optimization model of the stilling pool according to measured data of the irrigation sluice and the stilling pool to be installed; initializing the position of whales by taking the depth of the stilling pool and the depth of the contracted water as variables, and initializing in a random generation mode within a certain range; grouping the initialized groups, and randomly dividing the groups into N groups to form an island group; designing a parameter optimization model according to the stilling pool, and calculating the fitness value of each individual; searching the individuals in each group by adopting a whale optimization algorithm, and calculating the fitness value after searching; judging whether island group searching is to be carried out or not; judging whether the counting of the evolution algebra reaches the maximum evolution algebra, if so, outputting the currently obtained optimal solution and ending to obtain the structural parameters of the stillness pool; otherwise, returning to the whale optimization algorithm for searching.
Description
Technical Field
The invention belongs to the field of stilling pool structure design, and particularly relates to an irrigation sluice stilling pool and a structure design and construction method thereof.
Background
The water gate in irrigation area is one kind of water head low water retaining and draining structure with the functions of preventing flood, draining waterlogging, irrigation, supplying water, treating river, etc. In the design process of the water gate of the irrigation area, the calculation of the stilling pool is an important part, and the stilling pool has the function of reducing the redundant energy of water flow and playing a role in protecting the water gate, a downstream river bed and a bank slope.
In the design process of the stilling pool, the feasibility and the economical efficiency in practice need to be considered, and the design is realized by calculating the stilling pool design parameters. In the calculation of the stilling pool, solution of multivariate high-order equations is often required, and the solution is difficult and time-consuming. In the past, the calculation is generally carried out by means of a graphical method, a trial algorithm and an iterative formula, and although the methods can be solved to a certain degree, the methods all have certain problems in practical application. The graphical method and the trial algorithm have large calculation workload, complex calculation process and less practical application. The iterative algorithm has the disadvantages that the convergence speed is low, whether the optimal solution is obtained or not is related to the initial iteration value, the risk of non-convergence exists, and a reasonable and accurate solution is difficult to obtain or cannot obtain in the calculation process. The energy dissipation performance of the stilling basin is poor, so that the effects of reducing water flow energy and protecting a sluice and a downstream riverbed cannot be achieved, and the safety of the whole system is threatened; and the stilling pool is over designed, so that the construction cost is greatly increased.
Disclosure of Invention
The invention is made to solve the above problems, and aims to provide an irrigation sluice stilling basin and a structural design and construction method thereof, which can effectively improve the structural design level of the irrigation sluice, ensure the practicability and economy of stilling basin design, and ensure the energy dissipation performance of stilling basin.
In order to achieve the purpose, the invention adopts the following scheme:
< method >
The invention provides a structural design method of an irrigation sluice stilling basin, which is characterized by comprising the following steps of:
step 1: establishing a design parameter optimization model of the stilling pool according to measured data of positions where the irrigation water gate and the stilling pool are to be installed:
in the formula, the depth d of the stilling pool and the depth h of the contracted watercIs variable, alpha is the correction coefficient of water flow energy, q is the single width flow of the lockage, g is the acceleration of gravity,is a flow velocity coefficient, T0The total potential energy calculated from the top surface of the bottom plate of the stilling pool is f (d, h)c) Calculating the depth of the stilling pool;
total potential energy T of stilling pool0Comprises the following steps:
in the formula, H is the upstream water depth of the part to be installed of the stilling pool, v is the upstream near water flow speed of the part to be installed of the stilling pool, and P is the height difference between the upstream and the downstream;
stilling pool depth f (d, h)c) Comprises the following steps:
d=σ0h″c-h′s-ΔZ,
in the formula, σ0Is hydraulic jump submerging depth, hcIs the depth of water after jumping, h'sThe water depth of the river bed out of the pool is shown, and the delta Z is the fall of the river bed out of the pool;
depth of water h ″ after jumpingcComprises the following steps:
in the formula, b1To eliminate the width of the head end of the pond, b2The width of the tail end of the stilling pool is;
the fall delta Z of the outlet tank is as follows:
wherein h'sThe depth of the water at the position of the stilling pool where the stilling pool is to be installed is the depth of the river bed of the pool;
step 2: solving the parameter optimization model established in the step 1 by adopting an island swarm optimization algorithm and a whale optimization algorithm; the method comprises the following substeps:
step 2.1: by the depth d of the stilling pool and the contracted water depth hcInitializing whale position X for variablesi={di,hciIn which d isiIs the stilling pool depth, hc, of the ith individualiInitializing the contraction depth of the ith individual in a random generation mode within a certain range, wherein the group scale is M; initializing the evolution algebra count t to 0 and the island group search count FtTo 0, set the maximum evolutionary algebra TmaxSetting island group search threshold FsetIs Tmax/20;
Step 2.2: grouping the initialized groups, and randomly dividing the groups into N groups to form an island group;
step 2.3: calculating the fitness value of each individual according to the stilling pool design parameter optimization model in the step 1;
step 2.4: searching the individuals in each group by adopting a whale optimization algorithm, and calculating the fitness value after searching;
step 2.5: judging whether island group searching is to be carried out: if Ft=FsetThen, island group search is performed and F is settRe-counting as 0; otherwise, order Ft=Ft+1;
Step 2.6: judging whether the count T of the evolution algebra reaches the maximum evolution algebra TmaxIf T is equal to TmaxOutputting the currently obtained optimal solution and finishing to obtain the structural parameters of the stilling pool; otherwise, the procedure returns to step 2.4, and let t be t + 1.
Preferably, the method for designing the structure of the damping pool of the irrigation water gate provided by the invention can also have the characteristic that in step 2.4, a whale search algorithm has the following formula:
in the formula, q is a random value between (0,1), when q is less than 0.5, a search strategy of surrounding prey is adopted, and when q is more than or equal to 0.5, a Bubble-net search strategy is adopted;
the following formula is used for the search of surrounding prey:
Xi(t+1)=Xp(t)-A·|C·Xp(t)-Xi(t)|,
in the formula, Xp(t) is the optimal solution at the t-th generation, Xi(t) is the solution of the ith generation of the ith individual, A, C is a parameter vector, and the calculation method is as follows:
A=a·(2r1-1),
C=2·r2,
in the formula, r1,r2Random number between bits (0,1), a is the adaptive search coefficient:
where T is the current evolution algebra, TmaxIs the maximum evolution algebra;
the Bubble-net search strategy is to simulate spiral hunting behavior for searching, and the calculation formula is as follows:
Xi(t+1)=Xp(t)+|C·Xp(t)-Xi(t)|·ebl·cos(2πl)
wherein b is a control parameter and l is between [ -1,1 ].
Preferably, the method for designing the structure of the absorption basin of the irrigation water gate provided by the invention can also have the following characteristics that in the step 2.5, the island group search specific algorithm is as follows:
in the formula (I), the compound is shown in the specification,for the most optimal individual in one island population randomly selected from the N grouping islands,a, C is calculated in the same manner as in step 2.4 for the best individual of all populations.
Preferably, the structural design method of the irrigation water gate stilling basin provided by the invention can also have the following characteristics: in step 2.1, the population size M is in the range of [50, 200 ].
Preferably, the structural design method of the irrigation water gate stilling basin provided by the invention can also have the following characteristics: in step 2.1, the stilling basin depth diThe value range is [0, 50]]m。
Preferably, the structural design method of the irrigation water gate stilling basin provided by the invention can also have the following characteristics: in step 2.1, the water depth hc is contractediThe value range is [0, 20 ]]m。
Preferably, the structural design method of the irrigation water gate stilling basin provided by the invention can also have the following characteristics: in step 2.1, the maximum evolutionary algebra TmaxThe value range is [200, 1000%]。
Preferably, the structural design method of the irrigation water gate stilling basin provided by the invention can also have the following characteristics: in step 2.2, N is in the range of [2,5 ].
< absorption cell >
Further, the invention also provides an irrigation sluice stilling basin, which is characterized in that: the structural parameters of the irrigation sluice stilling pool are calculated by the structural design method of the irrigation sluice stilling pool as claimed in any one of claims 1 to 8.
< absorption cell >
Further, the invention also provides a construction method of the irrigation water gate stilling pool, which is characterized by comprising the following steps: the structural design method of the irrigation sluice stilling pool according to any one of claims 1 to 8 is adopted to calculate and obtain the structural parameters of the stilling pool, and then the irrigation sluice stilling pool is constructed according to the structural parameters.
Action and Effect of the invention
According to the irrigation sluice stilling pool and the structural design and construction method thereof, the design parameter optimization model of the stilling pool is established, the island group-whale mixed optimization algorithm is designed to solve the model, the capability of obtaining the optimal solution by algorithm search is effectively improved, the calculation accuracy and the calculation speed of the stilling pool structural parameters are further improved, the stilling pool structural parameters meeting the energy dissipation performance can be quickly and accurately obtained, the stilling pool constructed according to the method not only can ensure the energy dissipation performance, but also has practicability and economy, and the requirements in the practical stilling pool construction application are practically met.
Drawings
Fig. 1 is a flowchart of a method for designing an irrigation water gate stilling basin structure according to an embodiment of the present invention.
Detailed Description
The present invention relates to an irrigation water gate stilling basin and a method for designing and constructing the same, which will be described in detail below with reference to the accompanying drawings.
< example >
As shown in fig. 1, the method for designing the structure of the irrigation water gate stilling basin provided by this embodiment includes the following steps:
step 1: establishing a design parameter optimization model of the stilling pool according to measured data of positions where the irrigation water gate and the stilling pool are to be installed:
in the formula, the depth d of the stilling pool and the depth h of the contracted watercIs variable, alpha is the correction coefficient of water flow energy, q is the single width flow of the lockage, g is the acceleration of gravity,in order to be a flow velocity coefficient,T0the total potential energy calculated from the top surface of the bottom plate of the stilling pool is f (d, h)c) Calculating the depth of the stilling pool;
total potential energy T of stilling pool0Comprises the following steps:
in the formula, H is the upstream water depth of the part to be installed of the stilling pool, v is the upstream near water flow speed of the part to be installed of the stilling pool, and P is the height difference between the upstream and the downstream;
stilling pool depth f (d, h)c) Comprises the following steps:
d=σ0h″c-h′s-ΔZ,
in the formula, σ0Is hydraulic jump submerging depth, hcIs the depth of water after jumping, h'sThe water depth of the river bed out of the pool is shown, and the delta Z is the fall of the river bed out of the pool;
depth of water h ″ after jumpingcComprises the following steps:
in the formula, b1To eliminate the width of the head end of the pond, b2The width of the tail end of the stilling pool is;
the fall delta Z of the outlet tank is as follows:
wherein h'sThe depth of the water at the position of the stilling pool where the stilling pool is to be installed is the depth of the river bed of the pool;
step 2: solving the parameter optimization model established in the step 1 by adopting an island swarm optimization algorithm and a whale optimization algorithm; the method comprises the following substeps:
step 2.1: by the depth d of the stilling pool and the contracted water depth hcInitializing whale position X for variablesi={di,hciIn which d isiIs the stilling pool depth, hc, of the ith individualiInitializing the contraction depth of the ith individual in a random generation mode within a certain range, wherein the group scale is M; initializing the evolution algebra count t to 0 and the island group search count FtTo 0, set the maximum evolutionary algebra TmaxSetting island group search threshold FsetIs Tmax/20;
Step 2.2: grouping the initialized groups, and randomly dividing the groups into N groups to form an island group;
step 2.3: calculating the fitness value of each individual according to the stilling pool design parameter optimization model in the step 1;
step 2.4: searching the individuals in each group by adopting a whale optimization algorithm, and calculating the fitness value after searching;
the whale search algorithm is as follows:
in the formula, q is a random value between (0,1), when q is less than 0.5, a search strategy of surrounding prey is adopted, and when q is more than or equal to 0.5, a Bubble-net search strategy is adopted;
the following formula is used for the search of surrounding prey:
Xi(t+1)=Xp(t)-A·|C·Xp(t)-Xi(t)|,
in the formula, Xp(t) is the optimal solution at the t-th generation, Xi(t) is the solution of the ith generation of ith individual, A, C is a parameter vector:
A=a·(2·r1-1),
C=2·r2,
in the formula, r1,r2Random number between bits (0,1), a is the adaptive search coefficient:
where T is the current evolution algebra, TmaxIs the maximum evolution algebra;
the Bubble-net search strategy is to simulate spiral hunting behaviors for searching, and the calculation formula is as follows:
Xi(t+1)=Xp(t)+|C·Xp(t)-Xi(t)|·ebl·cos(2πl)
wherein b is a control parameter and l is between [ -1,1 ].
Step 2.5: judging whether to search by an island group optimization algorithm: if Ft=FsetThen, island group search is performed and F is settRe-counting as 0; otherwise, order Ft=Ft+1;
The island group optimization algorithm is as follows:
in the formula (I), the compound is shown in the specification,for the most optimal individual in one island population randomly selected from the N grouping islands,a, C is calculated in the same manner as in step 2.4 for the best individual of all populations.
Step 2.6: judging whether the count T of the evolution algebra reaches the maximum evolution algebra TmaxIf T is equal to TmaxOutputting the currently obtained optimal solution and finishing to obtain the structural parameters of the stilling pool; otherwise, the procedure returns to step 2.4, and let t be t + 1.
The following describes a specific example of the construction of the irrigation sluice stilling pool by the above method:
the water gate of a certain irrigation system has the upstream water depth of 3.3m, the water depth of the riverbed out of the pool of 2.9m, the widths of the head end and the tail end of the stilling pool of 4.0m and the calculated flow of 28m3The water flow energy correction coefficient is 1.05, the flow velocity coefficient is 0.95, the height difference of an upstream bottom plate and a downstream bottom plate is 2.0m, the length of a slope section of the stilling pool is 2.32m, the hydraulic jump length correction coefficient is 0.75, and the coefficient and safety of the stilling pool bottom plate are calculatedThe total coefficient is 0.15 and 1.2 respectively, the hydraulic jump submerging coefficient is 1.05, and structural parameters such as the depth, the length, the thickness of the bottom plate of the stilling pool and the like need to be calculated.
The calculation parameters are set to be the population scale M of 200, the island population N is set to be 5, and the maximum evolution algebra TmaxSet to 200. The depth of the stilling pool is 0.58m, the depth of the contracted water is 0.735m, and the calculation time is 0.23 s. Then, other parameters can be further calculated through the stilling pool depth and the shrinkage water depth, and all the parameters are detailed in the following table 1:
TABLE 1 irrigation sluice stilling basin construction parameters
The irrigation sluice stilling pool is constructed based on the structural parameter construction, performance requirements can be met, and safety problems do not occur.
If other existing algorithms, such as iterative calculation, are adopted in the above example, an effective solution cannot be obtained at all. Therefore, compared with the existing method, the structural design method of the irrigation water gate stilling basin provided by the invention is faster and more accurate.
The above embodiments are merely illustrative of the technical solutions of the present invention. The structure of the water gate absorption basin and the method for designing and constructing the same according to the present invention are not limited to the above embodiments, but are subject to the scope defined by the appended claims. Any modification or supplement or equivalent replacement made by a person skilled in the art on the basis of this embodiment is within the scope of the invention as claimed in the claims.
Claims (10)
1. A structural design method of an irrigation sluice stilling pool is characterized by comprising the following steps:
step 1: establishing a design parameter optimization model of the stilling pool according to measured data of positions where the irrigation water gate and the stilling pool are to be installed:
in the formula, the depth d of the stilling pool and the depth h of the contracted watercIs variable, alpha is the correction coefficient of water flow energy, q is the single width flow of the lockage, g is the acceleration of gravity,is a flow velocity coefficient, T0The total potential energy calculated from the top surface of the bottom plate of the stilling pool is f (d, h)c) Calculating the depth of the stilling pool;
total potential energy T of stilling pool0Comprises the following steps:
in the formula, H is the upstream water depth of the part to be installed of the stilling pool, v is the upstream near water flow speed of the part to be installed of the stilling pool, and P is the height difference between the upstream and the downstream;
stilling pool depth f (d, h)c) Comprises the following steps:
d=σ0h″c-h′s-ΔZ,
in the formula, σ0Is hydraulic jump submerging depth, hcIs the depth of water after jumping, h'sThe water depth of the river bed out of the pool is shown, and the delta Z is the fall of the river bed out of the pool;
depth of water h ″ after jumpingcComprises the following steps:
in the formula, b1To eliminate the width of the head end of the pond, b2The width of the tail end of the stilling pool is;
the fall delta Z of the outlet tank is as follows:
wherein h'sThe depth of the water at the position of the stilling pool where the stilling pool is to be installed is the depth of the river bed of the pool;
step 2: solving the parameter optimization model established in the step 1 by adopting an island swarm optimization algorithm and a whale optimization algorithm; the method comprises the following substeps:
step 2.1: by the depth d of the stilling pool and the contracted water depth hcInitializing whale position X for variablesi={di,hciIn which d isiIs the stilling pool depth, hc, of the ith individualiInitializing the contraction depth of the ith individual in a random generation mode within a certain range, wherein the group scale is M; initializing the evolution algebra count t to 0 and the island group search count FtTo 0, set the maximum evolutionary algebra TmaxSetting island group search threshold FsetIs Tmax/20;
Step 2.2: grouping the initialized groups, and randomly dividing the groups into N groups to form an island group;
step 2.3: calculating the fitness value of each individual according to the stilling pool design parameter optimization model in the step 1;
step 2.4: searching the individuals in each group by adopting a whale optimization algorithm, and calculating the fitness value after searching;
step 2.5: judging whether to search by an island group optimization algorithm: if Ft=FsetThen, island group search is performed and F is settRe-counting as 0; otherwise, order Ft=Ft+1;
Step 2.6: judging whether the count T of the evolution algebra reaches the maximum evolution algebra TmaxIf T is equal to TmaxOutputting the currently obtained optimal solution and finishing to obtain the structural parameters of the stilling pool; otherwise, the procedure returns to step 2.4, and let t be t + 1.
2. The method for designing the structure of the absorption basin of the irrigation water gate according to claim 1, wherein the method comprises the following steps:
in step 2.4, the whale searching algorithm is as follows:
in the formula, q is a random value between (0,1), when q is less than 0.5, a search strategy of surrounding prey is adopted, and when q is more than or equal to 0.5, a Bubble-net search strategy is adopted;
the following formula is used for the search of surrounding prey:
Xi(t+1)=Xp(t)-A·|C·Xp(t)-Xi(t)|,
in the formula, Xp(t) is the optimal solution at the t-th generation, Xi(t) is the solution of the ith generation of ith individual, A, C is a parameter vector:
A=a·(2·r1-1),
C=2·r2,
in the formula, r1,r2Random number between bits (0,1), a is the adaptive search coefficient:
where T is the current evolution algebra, TmaxIs the maximum evolution algebra;
the Bubble-net search strategy is to simulate spiral hunting behaviors for searching, and the calculation formula is as follows:
Xi(t+1)=Xp(t)+|C·Xp(t)-Xi(t)|·ebl·cos(2πl)
wherein b is a control parameter and l is between [ -1,1 ].
3. The method for designing the structure of the absorption basin of the irrigation water gate according to claim 2, wherein the method comprises the following steps:
in step 2.5, the island group optimization algorithm is as follows:
4. The method for designing the structure of the absorption basin of the irrigation water gate according to claim 1, wherein the method comprises the following steps:
wherein, in step 2.1, the value range of the population scale M is [50, 200 ].
5. The method for designing the structure of the absorption basin of the irrigation water gate according to claim 1, wherein the method comprises the following steps:
wherein, in the step 2.1, the depth di of the stilling pool is in the range of [0, 50] m.
6. The method for designing the structure of the absorption basin of the irrigation water gate according to claim 1, wherein the method comprises the following steps:
wherein, in step 2.1, the water depth hc is contractediThe value range is [0, 20 ]]m。
7. The method for designing the structure of the absorption basin of the irrigation water gate according to claim 1, wherein the method comprises the following steps:
wherein, in step 2.1, the maximum evolutionary algebra TmaxThe value range is [200, 1000%]。
8. The method for designing the structure of the absorption basin of the irrigation water gate according to claim 1, wherein the method comprises the following steps:
wherein, in step 2.2, the value range of N is [2,5 ].
9. The utility model provides an irrigation sluice stilling basin which characterized in that:
the structural parameters of the irrigation sluice stilling pool are calculated by adopting the structural design method of the irrigation sluice stilling pool of any one of claims 1 to 8.
10. A method for building an irrigation sluice stilling pool is characterized in that:
the structural design method of the irrigation sluice stilling pool according to any one of claims 1 to 8 is adopted to calculate and obtain the structural parameters of the stilling pool, and then the irrigation sluice stilling pool is constructed according to the structural parameters.
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