Design parameter optimization method and device, equipment and storage medium

Abstract

The invention discloses a design parameter optimization method and device, equipment and a storage medium. The method comprises the steps that a fluid-solid assembly model and a flow field model corresponding to a dredging pump are determined according to current design parameters of the dredging pump and working conditions corresponding to the dredging pump; establishing a fluid-solid assembly coupling model corresponding to the dredging pump according to the fluid-solid assembly model and the flow field model, and determining a current stress parameter and a current deformation parameter of the dredging pump according to the fluid-solid assembly coupling model; if the current stress parameter is smaller than a preset limit stress, taking the current design parameter as a target design parameter; the current stress parameter is greater than or equal to a preset limit stress, determining an optimization function according to the current stress parameter and the current deformation parameter, optimizing the current design parameter according to the optimization function to obtain a next design parameter, and taking the next design parameter as the current design parameter, and returning to the step of determining the fluid-solid assembly model and the flow field model corresponding to the dredging pump according to the current design parameters of the dredging pump and the working condition corresponding to the dredging pump.

Description

Technical Field

[0001] The invention relates to the field of dredging engineering, and in particular to a method, a device, equipment and a storage medium for optimizing design parameters. Background Art

[0002] Dredging pumps are essential key conveying equipment in dredging projects, and are crucial to clearing waters, maintaining waterways, and protecting the ecological environment. In actual dredging operations, the pump structure is subject to complex transient pressure loads from fluids such as mud. When the pump body is subjected to greater stress or the resulting deformation is too large, it will affect the safety of dredging operations.

[0003] At present, in the design process of dredging pumps, the design method of water pumps is usually referred to, and the hydrostatic ballast model or steady-state flow model is used to approximate the pressure effect of equivalent mud. When the strength analysis and optimization of the designed dredging pump are carried out, the pump structure mainly relies on manual trial and error with more design experience.

[0004] However, compared with water pumps, dredging pumps have a more complex structure and require higher accuracy in strength calculation. Therefore, referring to the design method of water pumps and designing the structure of dredging pumps based on manual experience and optimizing the design parameters will lead to deviations in the design strength analysis of dredging pumps, which will in turn affect the design accuracy of dredging pumps, resulting in insufficient strength of dredging pumps under high load or extreme working conditions, posing potential safety hazards. Summary of the invention

[0005] The present invention provides a method, device, equipment and storage medium for optimizing design parameters, which can directly simulate the situation where the fluid acts on the fluid-solid assembly model of the dredging pump based on the working condition of the dredging pump, fully consider the dynamic characteristics of the fluid dynamic load, and accurately simulate the instantaneous pressure changes and flow characteristics to which the pump body is subjected during operation.

[0006] According to one aspect of the present invention, there is provided a method for optimizing a design parameter, the method comprising:

[0007] According to the current design parameters of the dredging pump and the corresponding working conditions of the dredging pump, the fluid-solid assembly model and flow field model corresponding to the dredging pump are determined;

[0008] According to the fluid-solid assembly model and the flow field model, a fluid-solid assembly coupling model corresponding to the dredging pump is established, and the current stress parameters and current deformation parameters of the dredging pump are determined according to the fluid-solid assembly coupling model;

[0009] If the current stress parameter is less than the preset limit stress, the current design parameter is used as the target design parameter of the dredging pump;

[0010] If the current stress parameter is greater than or equal to the preset limit stress, an optimization function is determined according to the current stress parameter and the current deformation parameter, the current design parameter is optimized according to the optimization function to obtain the next design parameter, and the next design parameter is used as the current design parameter, and the step of returning to execute the step of determining the fluid-solid assembly model and flow field model corresponding to the dredging pump according to the current design parameters of the dredging pump and the working conditions corresponding to the dredging pump is returned.

[0011] The optimization method of design parameters provided by the embodiment of the present invention determines the fluid-solid assembly model and flow field model corresponding to the dredging pump according to the current design parameters of the dredging pump and the corresponding working conditions of the dredging pump; establishes the fluid-solid assembly coupling model corresponding to the dredging pump according to the fluid-solid assembly model and the flow field model, and determines the current stress parameter and the current deformation parameter of the dredging pump according to the fluid-solid assembly coupling model; determines whether the current stress parameter is less than the preset limit stress; if so, uses the current design parameter as the target design parameter of the dredging pump; if not, determines the optimization function according to the current stress parameter and the current deformation parameter, optimizes the current design parameter according to the optimization function, obtains the next design parameter, and uses the next design parameter as the current design parameter, and returns to execute the step of determining the fluid-solid assembly coupling model and the flow field model corresponding to the dredging pump according to the current design parameters of the dredging pump and the corresponding working conditions of the dredging pump. In the above technical scheme, on the one hand, a coupling assembly model of the fluid domain and the structural domain of the dredging pump is established. In addition, based on the fluid-solid assembly coupling model and the flow field model, the assembly coupling model of the fluid domain and the structural domain of the dredging pump when it is working is simulated, which can simulate the degree of influence of the fluid acting on the dredging pump when it acts on the dredging pump, solving the problem that only the hydrostatic pressure model or the steady-state flow model is used to approximate the equivalent mud pressure in the design of the dredging pump, and the influence of the dynamic load on the pump body structure is not considered. The dynamic characteristics of the fluid dynamic load are fully considered, and the instantaneous pressure changes and flow characteristics of the pump body during operation are accurately simulated. On the other hand, when determining the current stress parameters, it is determined whether the current design parameters need to be optimized based on the current stress parameters and the ultimate stress, which solves the problem that there is a deviation in the current design strength analysis of the dredging pump, which may cause the safety margin of the dredging pump body to be too large and increase the manufacturing or operation cost, or may cause the pump body to be insufficient in strength under extremely high load conditions and cause safety accidents. It realizes the direct comparison between the current stress parameters and the ultimate stress, and selects the processing of the current design parameters according to the comparison results, ensuring that the dredging pump designed according to the target design parameters will not have too large a safety margin, nor will it be insufficient in strength under extremely high load conditions. Furthermore, after obtaining the optimization function using the current stress parameters and the current deformation parameters and optimizing the current design parameters, the current design parameters are optimized in a targeted manner based on the stress changes and deformation changes of the dredging pump, thereby improving the optimization efficiency.

[0012] According to another aspect of the present invention, there is provided a device for optimizing design parameters, the device comprising:

[0013] A modeling module, used to determine a fluid-solid assembly model and a flow field model corresponding to the dredging pump according to current design parameters of the dredging pump and corresponding working conditions of the dredging pump;

[0014] A determination module is used to establish a fluid-solid assembly coupling model corresponding to the dredging pump according to the fluid-solid assembly model and the flow field model, and determine the current stress parameters and current deformation parameters of the dredging pump according to the fluid-solid assembly coupling model;

[0015] The judgment module is used to use the current design parameters as the target design parameters of the dredging pump if the current stress parameter is less than the preset limit stress; if the current stress parameter is greater than or equal to the preset limit stress, determine the optimization function according to the current stress parameter and the current deformation parameter, optimize the current design parameter according to the optimization function, obtain the next design parameter, and use the next design parameter as the current design parameter, and return to execute the steps of determining the fluid-solid assembly model and flow field model corresponding to the dredging pump according to the current design parameters of the dredging pump and the corresponding working conditions of the dredging pump.

[0016] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0017] at least one processor; and

[0018] a memory communicatively connected to at least one processor; wherein,

[0019] The memory stores a computer program that can be executed by at least one processor. The computer program is executed by at least one processor so that the at least one processor can execute the method for optimizing the design parameters of any embodiment of the present invention.

[0020] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the method for optimizing the design parameters of any embodiment of the present invention when executed.

[0021] According to another aspect of the present invention, a computer program product is provided, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements the method for optimizing the design parameters of any embodiment of the present invention.

[0022] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0024] Figure 1 A schematic diagram of a flow chart of a method for optimizing design parameters provided by an embodiment of the present invention;

[0025] Figure 2 A schematic flow chart of another design parameter optimization method provided by an embodiment of the present invention;

[0026] Figure 3 A fluid domain model corresponding to the dredging pump provided in an embodiment of the present invention;

[0027] Figure 4 A structural domain model corresponding to the dredging pump provided in an embodiment of the present invention;

[0028] Figure 5 A kind of dynamic pressure distribution characteristic information provided by an embodiment of the present invention;

[0029] Figure 6 Another type of dynamic pressure distribution characteristic information provided by an embodiment of the present invention;

[0030] Figure 7 A schematic diagram of the structure of a device for optimizing design parameters provided by an embodiment of the present invention;

[0031] Figure 8 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0032] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings 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 should fall within the scope of protection of the present invention.

[0033] It should be noted that the terms "current", "next", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0034] Figure 1 The present invention provides a flowchart of a method for optimizing design parameters. The present invention can be applied to the case of designing the structural parameters of a dredging pump. The method can be executed by a design parameter optimization device, which can be implemented in the form of hardware and / or software, and can be configured in an electronic device. In the present embodiment, the electronic device can be a computer or a terminal device. Figure 1 As shown, the method includes:

[0035] S101. Determine a fluid-solid assembly model and a flow field model corresponding to the dredging pump according to current design parameters of the dredging pump and the corresponding working conditions of the dredging pump.

[0036] Among them, the current design parameters are the current design parameters of the dredging pump. For example, the current design parameters may include design parameters such as material thickness, curvature and geometric dimensions of the dredging pump. The working conditions are the working conditions of the working area where the dredging pump designed this time may be applied. For example, what kind of soil is it applied to or whether the dredging pump is used for submarine engineering or ordinary river reconstruction. The fluid-solid assembly model is the assembly model of the fluid domain and structural domain of the dredging pump. The flow field model is a model used to describe the flow state of the corresponding fluid in the dredging pump under the working conditions of the dredging pump.

[0037] Specifically, according to the current design parameters of the dredging pump, the structural domain model of the dredging pump can be established first, and then the corresponding working conditions of the dredging pump, such as the properties of the fluid itself corresponding to the dredging pump when it is working, can be combined with the rheological model corresponding to the fluid determined according to the working conditions, and the assembly model of the fluid domain and structural domain of the dredging pump can be established. Among them, when establishing the model, in order to ensure the comprehensive establishment of the fluid domain model of the dredging pump, the strength verification related structures of the dredging pump can be considered to be established in the model. For example, components such as impellers, front linings, rear linings, and suction port anti-wear rings.

[0038] Specifically, when determining the rheological model corresponding to the fluid according to the working conditions, the flow field model can also be determined according to the properties of the fluid itself and the fluid-solid assembly model. For example, if a dredging pump is used to widen a river channel, the characteristics of the mud in the river channel, such as the density, viscosity, flow rate and flow rate of the mud, can be known. Based on the mud characteristics, a rheological model can be established. Afterwards, the flow field model can be determined based on the rheological model and the structural domain model of the dredging pump.

[0039] In this embodiment, the assembly model of the fluid domain and the structural domain of the dredging pump is established, and the relationship between the fluid domain structure inside the dredging pump that changes due to the design structure and the structure of the dredging pump itself is considered and jointly established. In addition, the flow field model is simulated according to the working conditions of the dredging pump. When modeling the dredging pump, the dynamic characteristics of the fluid dynamic load are fully considered, which provides an accurate model basis for the subsequent accurate simulation of the pressure and flow characteristics of the pump body during operation.

[0040] S102, establishing a fluid-solid assembly coupling model corresponding to the dredging pump according to the fluid-solid assembly model and the flow field model, and determining the current stress parameters and current deformation parameters of the dredging pump according to the fluid-solid assembly coupling model.

[0041] Among them, the fluid-solid assembly coupling model is a model established based on the mutual coupling between the fluid in the dredging pump and the structure of the dredging pump itself. The current stress parameter is the stress value of the dredging pump stress caused by the action of the fluid on the dredging pump. The current deformation variable parameter is the deformation of the dredging pump caused by the action of the fluid on the dredging pump under the current design parameters. Optionally, the current stress parameter is the maximum stress value. The current deformation variable parameter is the deformation corresponding to the maximum stress value.

[0042] Specifically, the fluid-solid assembly coupling model corresponding to the dredging pump can be established based on the flow field model and the fluid-solid assembly model. For example, the fluid-solid assembly coupling model corresponding to the dredging pump can be determined based on the interaction relationship between these components and the impact of the fluid action on the dredging pump structure in the dredging pump. In addition, the coupling stress of the structure related to the strength verification is considered by considering the flow details in the main flow channel and the gap of the impeller.

[0043] After the fluid-solid assembly coupling model is established, the working intensity of the dredging pump corresponding to the current design parameters when the fluid acts on it can be simulated according to the fluid-solid assembly coupling model and the flow field model. The stress distribution of the dredging pump under the working intensity can be simulated according to the working intensity. According to the stress distribution, the current stress parameters and current deformation parameters of the dredging pump under the action of the fluid can be determined.

[0044] In this embodiment, based on the fluid-solid assembly model and the flow field model, the assembly coupling model of the fluid domain and the structural domain of the dredging pump when it is working is simulated, which can simulate the degree of influence of the fluid acting in the dredging pump on the dredging pump. This solves the problem that in the current design of dredging pumps, only the hydrostatic pressure model or the steady-state flow model is used to approximate the equivalent mud pressure effect without considering the influence of the dynamic load on the pump body structure, and fully considers the dynamic characteristics of the fluid dynamic load, and accurately simulates the instantaneous pressure changes and flow characteristics that the pump body is subjected to during operation.

[0045] S103, determine whether the current stress parameter is less than the preset limit stress; if so, execute S104; if not, execute S105.

[0046] The ultimate stress is a parameter related to the ultimate strength stress of the dredging pump, for example, the yield strength and fatigue limit of the pump body material.

[0047] Specifically, determine whether the current stress parameter is less than the limit stress. If less than, it means that the current design parameter meets the current design index, so S104 can be executed. If greater than or equal to, it means that the current design parameter does not meet the current design index, so the current design parameter can be optimized based on S105 until the design parameter meets the design index.

[0048] S104. Using the current design parameters as target design parameters of the dredging pump.

[0049] Among them, the target design parameters are the design parameters finally determined in the structural parameter design of this dredging pump.

[0050] Specifically, if the current design parameters meet the limit stress, the current design parameters can be determined as the target design parameters of the dredging pump. At this point, the structural parameter design of the dredging pump is completed, and the structural parameters of the dredging pump can be based on the target design parameters.

[0051] S105, determining an optimization function according to the current stress parameter and the current deformation parameter, optimizing the current design parameter according to the optimization function to obtain the next design parameter, and taking the next design parameter as the current design parameter; returning to execute S101.

[0052] The optimization function is used to optimize the current design parameters. The next design parameters are the design parameters after the current design parameters are optimized.

[0053] Specifically, the gradient change of the current stress parameter and the current deformation parameter can be used as a guide to determine whether the change of the current design parameter will lead to a larger change in the current stress parameter or a larger change in the current deformation parameter, thereby determining the optimization of the current design parameter.

[0054] Exemplarily, the stress gradient can be determined according to the current stress parameter, and the deformation gradient can be determined according to the current deformation parameter. Based on the stress gradient and the deformation gradient, a first sub-optimization function can be determined. And, the current stress parameter and the current deformation parameter are weighted summed to obtain a second sub-optimization function. The current design parameters are optimized using the first sub-optimization function and the second sub-optimization function to obtain the next design parameters.

[0055] When the next design parameter is obtained, the number of optimizations may be recorded, and the next design parameter may be used as the current design parameter, and the process returns to S101 until the current design parameter is less than the limit stress.

[0056] In this embodiment, when determining the current stress parameter, it is determined whether the current design parameter needs to be optimized based on the current stress parameter and the limit stress, which solves the problem that the current design strength analysis of the dredging pump has a deviation, which may cause the safety margin of the dredging pump body to be too large and increase the manufacturing or operation cost, or may cause the pump body to be insufficient in strength under extremely high load conditions and cause safety accidents. It is realized that the current stress parameter is directly compared with the limit stress, and the processing of the current design parameter is selected according to the comparison result, which ensures that the dredging pump designed according to the target design parameter will not have an excessive safety margin or insufficient strength under extremely high load conditions. Further, after obtaining the optimization function using the current stress parameter and the current deformation variable parameter and optimizing the current design parameter, the current design parameter is optimized in a targeted manner based on the stress change and deformation variable change of the dredging pump, thereby improving the optimization efficiency.

[0057] The optimization method of design parameters provided by the embodiment of the present invention determines the fluid-solid assembly model and flow field model corresponding to the dredging pump according to the current design parameters of the dredging pump and the corresponding working conditions of the dredging pump; establishes the fluid-solid assembly coupling model corresponding to the dredging pump according to the fluid-solid assembly model and the flow field model, and determines the current stress parameter and the current deformation parameter of the dredging pump according to the fluid-solid assembly coupling model; determines whether the current stress parameter is less than the preset limit stress; if so, takes the current design parameter as the target design parameter of the dredging pump; if not, determines the optimization function according to the current stress parameter and the current deformation parameter, optimizes the current design parameter according to the optimization function, obtains the next design parameter, and takes the next design parameter as the current design parameter, and returns to execute the steps of determining the fluid-solid assembly coupling model and the flow field model corresponding to the dredging pump according to the current design parameters of the dredging pump and the corresponding working conditions of the dredging pump. In the above technical scheme, on the one hand, the coupling assembly model of the fluid domain and the structural domain of the dredging pump is established, and the relationship between the fluid domain structure inside the dredging pump that changes due to the design structure and the structure of the dredging pump itself that may be generated is jointly established. In addition, based on the fluid-solid assembly coupling model and the flow field model, the assembly coupling model of the fluid domain and the structural domain of the dredging pump when it is working is simulated, which can simulate the degree of influence of the fluid acting on the dredging pump when it acts on the dredging pump, solving the problem that only the hydrostatic pressure model or the steady-state flow model is used to approximate the equivalent mud pressure in the design of the dredging pump, and the influence of the dynamic load on the pump body structure is not considered. The dynamic characteristics of the fluid dynamic load are fully considered, and the instantaneous pressure changes and flow characteristics of the pump body during operation are accurately simulated. On the other hand, when determining the current stress parameters, it is determined whether the current design parameters need to be optimized based on the current stress parameters and the ultimate stress, which solves the problem that there is a deviation in the current design strength analysis of the dredging pump, which may cause the safety margin of the dredging pump body to be too large and increase the manufacturing or operation cost, or may cause the pump body to be insufficient in strength under extremely high load conditions and cause safety accidents. It realizes the direct comparison between the current stress parameters and the ultimate stress, and selects the processing of the current design parameters according to the comparison results, ensuring that the dredging pump designed according to the target design parameters will not have too large a safety margin, nor will it be insufficient in strength under extremely high load conditions. Furthermore, after obtaining the optimization function using the current stress parameters and the current deformation parameters and optimizing the current design parameters, the current design parameters are optimized in a targeted manner based on the stress changes and deformation changes of the dredging pump, thereby improving the optimization efficiency.

[0058] Figure 2This is a flow chart of another design parameter optimization method provided by an embodiment of the present invention. Based on the above embodiments and other examples, this embodiment describes in detail the steps of "determining the fluid-solid assembly model and flow field model corresponding to the dredging pump according to the current design parameters of the dredging pump and the corresponding working conditions of the dredging pump", "determining the current stress parameters and current deformation parameters of the dredging pump according to the fluid-solid assembly coupling model", and "determining the optimization function according to the current stress parameters and current deformation parameters". Figure 2 As shown, the method includes:

[0059] S201. Determine the fluid properties corresponding to the fluid in the dredging pump according to the working conditions, and determine the fluid-solid assembly model corresponding to the dredging pump according to the current design parameters and the fluid properties.

[0060] Specifically, according to the structure and strength verification related structure of the dredging pump itself, the structural domain framework of the fluid-solid assembly model can be established first, and then the structural domain framework can be numerically defined and added according to the current design parameters and working conditions. In addition, the working conditions can be used to determine the fluid properties corresponding to the fluid in the dredging pump, and the rheological model can be obtained according to the fluid properties. The rheological model is added to the framework of the structural domain, thereby improving the model of the fluid domain corresponding to the dredging pump. Finally, the fluid-solid assembly model corresponding to the dredging pump can be obtained.

[0061] For example, Figure 3 A fluid domain model corresponding to the dredging pump provided in an embodiment of the present invention. Figure 4 The structural domain model corresponding to the dredging pump provided in the embodiment of the present invention. Figure 3 The fluid domain model in FIG. 1 includes an impeller water body 10 and a pump casing water body 20 . Figure 4 The structural domain model in includes the rear liner 30, the rear cover 40, the pump casing 50, the impeller anti-wear ring 60, the front cover 70 and the front liner 80. Figure 3 The fluid domain model shown is similar to Figure 4 By combining the structural domain model shown in the figure, the fluid-solid assembly model corresponding to the dredging pump can be obtained.

[0062] In this embodiment, strength verification related structures such as the impeller, front liner, rear liner and suction port anti-wear ring are taken into consideration in the design of the fluid-solid assembly model corresponding to the dredging pump, providing a model basis for later consideration of the coupling stress of these components caused by the flow details in the main impeller channel and the gap, as well as the mutual influence between these components.

[0063] S202. Determine a flow field model according to fluid characteristics and a fluid-solid assembly model.

[0064] Specifically, according to the working conditions, the fluid properties of the fluid acting on the dredging pump when the dredging pump is working can be determined, that is, the rheological model can be determined. For example, if the fluid is mud, the density, viscosity, flow rate and flow rate of the mud can be determined. Based on the rheological model and using the Large Eddy Simulation (LES) method and other filtering models, the flow field model can be determined.

[0065] S203. Establish a fluid-solid assembly coupling model corresponding to the dredging pump according to the fluid-solid assembly model and the flow field model.

[0066] Specifically, the fluid-solid assembly model is converted to obtain the finite element model corresponding to the fluid-solid assembly model, and the connection relationship between the various components of the fluid-solid assembly model is established. According to the coupling relationship of the internal structure of the dredging pump and the flow field model, the fluid-solid assembly coupling model can be determined.

[0067] For example, first, the established fluid-solid assembly model is converted into a finite element model, and the components therein are meshed and the properties are set. The meshing basis and property setting can be appropriately adjusted according to the current design parameters and working conditions. For example, when meshing, in order to better simulate the flow field and structural field inside the dredging pump, and avoid the influence of complex geometric features and flow characteristics on the simulation results, the tongue and fillet position can be locally encrypted, thereby improving the mesh quality and fineness, and better capturing the changes in fluid flow and structural stress.

[0068] Afterwards, according to the coupling relationship of the internal structure of the dredging pump, the connection relationship between the various components of the finite element model is established, and the flow field model is combined with the established fluid-solid assembly model in a certain coupling manner, considering the interaction between the fluid and the solid, such as the pressure and shear force of the fluid on the solid, and the influence of the solid deformation on the flow field, so as to obtain the fluid-solid assembly coupling model of the dredging pump. For example, a dynamic-static coupling surface is set between the impeller water body and the pump casing water body, and a static coupling surface is set between the pump casing water body and the structural domain. The advantage of this setting is that on the static coupling surface, the pressure distribution of the fluid will directly act on the pump structure, realizing the analysis of bidirectional fluid-solid coupling.

[0069] S204. Perform flow field transient analysis on the fluid-solid assembly coupling model and the flow field model to obtain dynamic pressure distribution characteristic information.

[0070] Specifically, the Large Eddy Simulation (LES) method can be used to simulate the turbulent flow of the fluid in the dredging pump, and the dynamic pressure distribution of the fluid acting on the pump body can be extracted by performing transient analysis on the flow field.

[0071] Exemplarily, a dual Euler large eddy simulation method can be used to describe water and particles, and a mathematical filtering model can be established to filter eddies with a scale smaller than the filter function from the turbulent transient equation. The vortices obtained after filtering can form a large eddy equation. In addition, by introducing an additional stress term, sub-grid scale stress, into the large eddy equation to reflect the small eddies that are filtered out, the velocity field, pressure field, and turbulence characteristics of the fluid in the pump can be obtained. Through the transient analysis of the flow field with bidirectional fluid-solid coupling, the dynamic pressure distribution of the fluid acting on the pump body can be extracted.

[0072] For example, Figure 5 A kind of dynamic pressure distribution characteristic information provided by the embodiment of the present invention. Among them, Figure 5 The figure shows the dynamic pressure distribution of the dredging pump. Different dynamic pressures are represented by different color domains. The right side is a legend of the specific pressure values ​​represented by different color domains. In the legend, the pressure increases from bottom to top. The unit of pressure is: Pa. Figure 6 Another dynamic pressure distribution characteristic information provided by the embodiment of the present invention. The horizontal axis is time / s, and the vertical axis is the pressure pulsation coefficient C p The figure shows the pressure distribution of the dredging pump under the action of fluid and the change of its pressure pulsation coefficient over time.

[0073] S205. Determine stress distribution information of the dredging pump according to the fixed constraints of the dredging pump, the dynamic pressure distribution characteristic information and the flow field model.

[0074] Specifically, the pre-selected fixed constraints are determined, and the deformation of the pump structure is solved according to the fixed constraints of the dredging pump. At the same time, the stress distribution of the pump body is determined by using the dynamic pressure distribution characteristic information, the flow field model and the deformation information of the pump structure.

[0075] For example, the fixed constraint is established at the connection between the rear end cover and the bearing seat, which can accurately characterize the fixed state of the pump body in reality. At the same time, the dynamic pressure generated by the transient flow field during the dredging operation of the pump is used as the load condition for strength calculation, and loaded onto the pump body structure to cause solid deformation, that is, the pressure of the fluid on the boundary is used as the mechanical boundary condition of the solid. In addition, the corresponding pressure value is applied to the contact surface of the pump body, that is, the dynamic pressure distribution characteristic information, to simulate the actual impact of the fluid dynamic load on the pump body structure, and finally the stress distribution information of the dredging pump body can be obtained.

[0076] S206. Process the stress distribution information using finite element analysis to obtain current stress parameters and current deformation parameters.

[0077] Specifically, by setting the structural field finite element solution items reasonably, the stress distribution information can be processed by finite element analysis to obtain the current stress parameters and current deformation parameters. For example, the stress distribution information of the dredging pump body under the action of fluid dynamic load can be extracted by finite element analysis to determine the maximum stress value and the maximum deformation.

[0078] In this embodiment, the fixed constraint is established at the connection between the rear end cover and the bearing seat, and the stress distribution information is processed by finite element analysis, which fully considers the dynamic characteristics of the fluid dynamic load, accurately simulates the instantaneous pressure changes and flow characteristics of the pump body during operation, and provides accurate data for determining whether the current design parameters meet the design requirements based on the current stress parameters. In addition, it also provides data and structural basis for optimizing the current design parameters in the future, using the allowable clearance between the structural components of the dredging pump and the flow channel passing requirements as optimization guidance.

[0079] S207, determine whether the current stress parameter is less than the preset limit stress; if so, execute S213; if not, execute S208.

[0080] Specifically, determine whether the current stress parameter is less than the limit stress. If less than, it means that the current design parameter meets the current design index, so S213 can be directly executed. If greater than or equal to, it means that the current design parameter does not meet the current design index, so the current design parameter can be optimized based on S208 until the design parameter meets the design index.

[0081] S208, obtaining a reference stress parameter and a reference deformation parameter, and determining a first optimization sub-function according to the reference stress parameter, the current stress parameter, the reference deformation parameter and the current deformation parameter.

[0082] The first optimization sub-function is used to indicate the dynamic characteristics of stress and deformation. In this embodiment, the first optimization sub-function can enhance the adaptability of different structural regions in the process of optimizing design parameters, and automatically adjust the optimization weight of each design variable according to the changes in the stress and deformation gradient in the structure.

[0083] Specifically, determining the first optimization sub-function includes the following steps:

[0084] (i) determining a stress gradient based on a reference stress parameter and a current stress parameter, and determining a deformation gradient based on a reference deformation parameter and a current deformation parameter.

[0085] The reference stress parameters and the reference deformation parameters can be obtained based on better historical stress parameters and historical deformation parameters corresponding to the historical design parameters in the historical design process.

[0086] Specifically, the better historical stress parameters and historical deformation parameters in the historical design process are obtained from the structural parameter database as reference stress parameters and reference deformation parameters. The stress gradient ▽σ(x) can be determined based on the reference stress parameters and the current stress parameters. The deformation gradient ▽ε(x) can be determined based on the reference deformation parameters and the current deformation parameters.

[0087] (ii) determining a first optimization sub-function according to preset allowable stress parameters, stress gradients, preset allowable deformation parameters and deformation gradients.

[0088] Among them, the stress allowable parameter is the allowable value of stress, and the deformation allowable parameter is the allowable value of deformation.

[0089] Specifically, the first optimization sub-function can be determined according to the following formula:

[0090]

[0091] Where ω(x) is the first optimization subfunction. ▽σ(x) is the stress gradient. ▽ε(x) is the deformation gradient. σ pcv is the stress allowable parameter. pcv is the allowable parameter of deformation. δ is the control coefficient of stress, and θ is the control coefficient of deformation. The control coefficient is predetermined according to the different material properties of the dredging pump. In this embodiment, the allowable parameter of stress and the allowable parameter of deformation are used to define the acceptable range of the design variable, so as to ensure that the optimization result meets the safety and functional requirements. pcv Reflects the degree of deviation between the current stress gradient and the allowable value. ▽ε(x)-ε pcv Reflects the degree of deviation of the current deformation gradient from the allowed value. When ▽σ(x) or ▽ε(x) is close to the allowed value, the first optimization sub-function will tend to the middle value, and the weight adjustment will be small. When the deviation from the allowed value is large, the first optimization sub-function will change rapidly, thereby increasing the optimization strength of the current design parameters.

[0092] S209, determining a first factor according to current design parameters and current stress parameters, and determining a second factor according to current design parameters and current deformation parameters.

[0093] The first factor is used to represent the stress change gradient, and the second factor is used to represent the deformation change gradient.

[0094] Specifically, the method for determining the first factor and the second factor can be performed according to the following steps:

[0095] According to the current stress parameter, the first sub-factor corresponding to each current design variable is determined; all the first sub-factors are summed to obtain the first factor; and, according to the current deformation variable parameter, the second sub-factor corresponding to each current design variable is determined; all the second sub-factors are summed to obtain the second factor.

[0096] The current design parameters include at least one current design variable, such as material thickness, curvature, geometric dimensions, etc.

[0097] Specifically, the first factor can be determined according to the following formula:

[0098]

[0099] Among them, A is the first factor. i ={x1, x2, ..., x m}, x i is the i-th design variable. i (x) is the current stress parameter corresponding to the i-th design variable. That is, the first sub-factor corresponding to the i-th design variable.

[0100] And, the second factor can be determined according to the following formula:

[0101]

[0102] Among them, B is the second factor. ε i (x) is the current deformation parameter corresponding to the i-th design variable. That is, the second sub-factor corresponding to the i-th design variable.

[0103] S210, determining a second optimization sub-function according to a preset stress weight factor, a first factor, a preset deformation weight factor, and a second factor.

[0104] The stress weight factor is used to control the influence of the stress gradient on the second optimization sub-function. The deformation weight factor is used to control the influence of the deformation gradient on the second optimization sub-function. The second optimization sub-function is the weighted sum of the stress change gradient and the deformation change gradient corresponding to the current design parameters.

[0105] Specifically, the second optimization sub-function can be determined according to the following formula:

[0106] F(x) = α*A+β*B;

[0107] Among them, α is the stress weight factor, β is the deformation weight factor, and F(x) is the second optimization subfunction.

[0108] It is worth noting that S208 and S209-S210 are parallel steps, that is, S209-S210 can be executed when S208 is executed, or 209-S210 can be executed first and then S208, or S208 can be executed first and then S209-S210.

[0109] S211. Determine the step size corresponding to the current design parameter, and determine the optimized design quantity parameter according to the step size, the first optimization sub-function, and the function gradient of the second optimization sub-function.

[0110] The step length is the number of optimizations. For example, if the current design parameters have been optimized three times, the step length is 3.

[0111] Specifically, the number of times the current design parameter has been optimized is determined to obtain the step length, and the function gradient of the second optimization sub-function is calculated, and the optimized design quantity parameter can be obtained according to the step length, the function gradient of the first optimization sub-function and the second optimization sub-function.

[0112] Exemplarily, the formula for determining the optimal design quantity parameters is:

[0113]

[0114] Where x′ is the optimal design parameter. η is the step size. k is the current design parameter. k ) is the function gradient of the second optimization sub-function corresponding to the current design parameters. k ) is the first optimization subfunction corresponding to the current design parameters. In this implementation, in order to ensure that the yield strength and fatigue limit constraints of the material are met during the optimization process, the stress value σ on any i i (x) The following conditions shall be met:

[0115] S212, determining the next design parameter according to the current design parameter and the optimized design quantity parameter, and taking the next design parameter as the current design parameter; returning to execute S201.

[0116] Specifically, the current design parameters and the optimized design quantity parameters can be used to determine the next design parameters. For example, as shown in the following formula:

[0117] x k+1 =x k -x′;

[0118] Among them, x k+1 is the next design parameter.

[0119] And, after obtaining the next design parameter, the next design parameter may be used as the current design parameter, and the process returns to execute S201.

[0120] In this embodiment, the optimization function is used to optimize the current design parameters to obtain the next design parameters, which is guided by the index change gradient of stress and deformation, and takes the allowable clearance between the dredging pump structure components and the flow channel passing requirements as the optimization boundary, thereby realizing the adaptive optimization of the curvature and thickness of the dredging pump structure and improving the optimization efficiency.

[0121] S213. Using the current design parameters as target design parameters of the dredging pump.

[0122] Specifically, if the current design parameters meet the limit stress, the current design parameters can be determined as the target design parameters of the dredging pump. At this point, the structural parameter design of the dredging pump is completed, and the structural parameters of the dredging pump can be based on the target design parameters.

[0123] The optimization method of design parameters provided by the embodiment of the present invention, on the one hand, takes into account the strength verification related structures such as the impeller, the front liner, the rear liner and the suction port anti-wear ring into the design of the fluid-solid assembly model corresponding to the dredging pump, and provides a model basis for the subsequent consideration of the coupling stress of these components from the flow details in the main flow channel of the impeller and the gap, as well as the mutual influence between these components. On the other hand, based on establishing a fixed constraint at the connection between the rear end cover and the bearing body seat, and using finite element analysis to process the stress distribution information, the dynamic characteristics of the fluid dynamic load are fully considered, and the instantaneous pressure changes and flow characteristics to which the pump body is subjected during operation are accurately simulated, and accurate data is provided for determining whether the current design parameters meet the design requirements based on the current stress parameters. In addition, it also provides a data and structural basis for the optimization guidance of the allowable clearance and flow passage requirements between the structural components of the dredging pump when the current design parameters need to be optimized in the future. Finally, if the current design parameters need to be optimized, the optimization function is used to optimize the current design parameters to obtain the next design parameters. This is guided by the index change gradient of stress and deformation, and the allowable clearance between the dredging pump structure components and the flow channel passing requirements are used as the optimization boundary. This realizes the adaptive optimization of the curvature and thickness of the dredging pump structure, thereby improving the optimization efficiency.

[0124] Figure 7 Schematic diagram of the structure of the device for optimizing the design parameters provided by the embodiment of the present invention. Figure 7 As shown, the device comprises:

[0125] A modeling module 701 is used to determine a fluid-solid assembly model and a flow field model corresponding to the dredging pump according to current design parameters of the dredging pump and the corresponding working conditions of the dredging pump;

[0126] The determination module 702 is used to establish a fluid-solid assembly coupling model corresponding to the dredging pump according to the fluid-solid assembly model and the flow field model, and determine the current stress parameters and current deformation parameters of the dredging pump according to the fluid-solid assembly coupling model;

[0127] The judgment module 703 is used to use the current design parameters as the target design parameters of the dredging pump if the current stress parameter is less than the preset limit stress; if the current stress parameter is greater than or equal to the preset limit stress, determine the optimization function according to the current stress parameter and the current deformation parameter, optimize the current design parameter according to the optimization function, obtain the next design parameter, and use the next design parameter as the current design parameter, and return to execute the step of determining the fluid-solid assembly model and flow field model corresponding to the dredging pump according to the current design parameters of the dredging pump and the corresponding working conditions of the dredging pump.

[0128] Optionally, the modeling module 701 is specifically used for:

[0129] The fluid characteristics corresponding to the fluid in the dredging pump are determined according to the working conditions, and the fluid-solid assembly model corresponding to the dredging pump is determined according to the current design parameters and fluid characteristics; the flow field model is determined according to the fluid characteristics and the fluid-solid assembly model.

[0130] Optionally, the determination module 702 is specifically configured to:

[0131] The flow field transient analysis is performed on the fluid-solid assembly coupling model and the flow field model to obtain the dynamic pressure distribution characteristic information; the stress distribution information of the dredging pump is determined according to the fixed constraints of the dredging pump, the dynamic pressure distribution characteristic information and the flow field model; the stress distribution information is processed using finite element analysis to obtain the current stress parameters and the current deformation parameters.

[0132] Optionally, the optimization function includes a first optimization sub-function and a second optimization sub-function; the optimization function is determined according to the current stress parameter and the current deformation parameter, and the judgment module 703 is specifically used for:

[0133] Obtain reference stress parameters and reference deformation parameters, and determine a first optimization sub-function based on the reference stress parameters, current stress parameters, reference deformation parameters and current deformation parameters; and determine a first factor based on current design parameters and current stress parameters, and determine a second factor based on current design parameters and current deformation parameters; determine a second optimization sub-function based on a preset stress weight factor, a first factor, a preset deformation weight factor and a second factor.

[0134] Optionally, the first optimization sub-function is determined according to the reference stress parameter, the current stress parameter, the reference deformation parameter and the current deformation parameter, and the judgment module 703 is specifically used to:

[0135] The stress gradient is determined according to the reference stress parameter and the current stress parameter, and the deformation gradient is determined according to the reference deformation parameter and the current deformation parameter; the first optimization subfunction is determined according to the preset stress allowable parameter, the stress gradient, the preset deformation allowable parameter and the deformation gradient.

[0136] Optionally, the current design parameter includes at least one current design variable; the first factor is determined according to the current design parameter and the current stress parameter, and the second factor is determined according to the current design parameter and the current deformation variable parameter, and the judgment module 703 is specifically used to:

[0137] According to the current stress parameter, the first sub-factor corresponding to each current design variable is determined; all the first sub-factors are summed to obtain the first factor; and, according to the current deformation variable parameter, the second sub-factor corresponding to each current design variable is determined; all the second sub-factors are summed to obtain the second factor.

[0138] Optionally, the current design parameters are optimized according to the optimization function to obtain the next design parameters. The judgment module 703 is specifically used for:

[0139] Determine the step size corresponding to the current design parameter, and determine the optimized design quantity parameter according to the step size, the first optimization sub-function, and the function gradient of the second optimization sub-function; determine the next design parameter according to the current design parameter and the optimized design quantity parameter.

[0140] The design parameter optimization device provided in the embodiment of the present invention can execute the design parameter optimization method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0141] Figure 8 A schematic diagram of the structure of an electronic device 8 provided for an embodiment of the present invention. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0142] like Figure 8As shown, the electronic device 8 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 8 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0143] A number of components in the electronic device 8 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 8 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0144] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as a method for optimizing design parameters.

[0145] In some embodiments, the optimization method of the design parameters may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the optimization method of the design parameters described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to execute the optimization method of the design parameters in any other appropriate manner (e.g., by means of firmware).

[0146] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0147] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0148] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0149] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0150] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0151] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the respective computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0152] An embodiment of the present invention further provides a computer program product, including a computer program, which, when executed by a processor, implements the design parameter optimization method provided by any embodiment of the present invention.

[0153] In the process of implementation, the computer program product can be written in one or more programming languages ​​or a combination thereof to perform the computer program code of the present invention, including object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (for example, using an Internet service provider to connect through the Internet).

[0154] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0155] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for optimizing design parameters, characterized in that: The method comprises: Determine a fluid-solid assembly model and a flow field model corresponding to the dredging pump according to current design parameters of the dredging pump and the corresponding working conditions of the dredging pump; According to the fluid-solid assembly model and the flow field model, a fluid-solid assembly coupling model corresponding to the dredging pump is established, and according to the fluid-solid assembly coupling model, a current stress parameter and a current deformation parameter of the dredging pump are determined; If the current stress parameter is less than the preset limit stress, the current design parameter is used as the target design parameter of the dredging pump; If the current stress parameter is greater than or equal to the preset limit stress, an optimization function is determined according to the current stress parameter and the current deformation parameter, the current design parameter is optimized according to the optimization function to obtain the next design parameter, and the next design parameter is used as the current design parameter, and the step of returning to execute the step of determining the fluid-solid assembly model and the flow field model corresponding to the dredging pump according to the current design parameters of the dredging pump and the working conditions corresponding to the dredging pump is performed.

2. The method for optimizing design parameters according to claim 1, characterized in that: The method of determining the fluid-solid assembly model and the flow field model corresponding to the dredging pump according to the current design parameters of the dredging pump and the working conditions corresponding to the dredging pump comprises: Determine the fluid properties corresponding to the fluid in the dredging pump according to the working conditions, and determine the fluid-solid assembly model corresponding to the dredging pump according to the current design parameters and the fluid properties; The flow field model is determined according to the fluid characteristics and the fluid-solid assembly model.

3. The method for optimizing design parameters according to claim 1, characterized in that: The determining of the current stress parameter and the current deformation parameter of the dredging pump according to the fluid-solid assembly coupling model includes: Performing flow field transient analysis on the fluid-solid assembly coupling model and the flow field model to obtain dynamic pressure distribution characteristic information; Determining stress distribution information of the dredging pump according to the fixed constraints of the dredging pump, the dynamic pressure distribution characteristic information and the flow field model; The stress distribution information is processed by finite element analysis to obtain the current stress parameter and the current deformation parameter.

4. The method for optimizing design parameters according to claim 1, characterized in that: The optimization function includes a first optimization sub-function and a second optimization sub-function; The step of determining the optimization function according to the current stress parameter and the current deformation parameter comprises: Obtaining a reference stress parameter and a reference deformation parameter, and determining a first optimization subfunction according to the reference stress parameter, the current stress parameter, the reference deformation parameter and the current deformation parameter; as well as, Determine a first factor according to the current design parameter and the current stress parameter, and determine a second factor according to the current design parameter and the current deformation amount parameter; The second optimization sub-function is determined according to a preset stress weight factor, the first factor, a preset deformation weight factor and the second factor.

5. The method for optimizing design parameters according to claim 4, characterized in that: The determining of the first optimization sub-function according to the reference stress parameter, the current stress parameter, the reference deformation parameter and the current deformation parameter comprises: Determine a stress gradient according to the reference stress parameter and the current stress parameter, and determine a deformation gradient according to the reference deformation parameter and the current deformation parameter; The first optimization sub-function is determined according to a preset stress allowable parameter, the stress gradient, a preset deformation allowable parameter and the deformation gradient.

6. The method for optimizing design parameters according to claim 4, characterized in that: The current design parameters include at least one current design variable; The determining of the first factor according to the current design parameter and the current stress parameter, and the determining of the second factor according to the current design parameter and the current deformation amount parameter, comprises: Determine a first sub-factor corresponding to each current design variable according to the current stress parameter; sum all the first sub-factors to obtain the first factor; and, According to the current deformation variable parameter, a second sub-factor corresponding to each current design variable is determined; and all the second sub-factors are summed to obtain the second factor.

7. The method for optimizing design parameters according to claim 4, characterized in that: The step of optimizing the current design parameter according to the optimization function to obtain the next design parameter includes: Determine a step size corresponding to a current design parameter, and determine an optimized design quantity parameter according to the step size, the first optimization sub-function, and the function gradient of the second optimization sub-function; Determine the next design parameter according to the current design parameter and the optimized design quantity parameter.

8. A device for optimizing design parameters, characterized in that: The device comprises: A modeling module, used for determining a fluid-solid assembly model and a flow field model corresponding to the dredging pump according to current design parameters of the dredging pump and the corresponding working conditions of the dredging pump; A determination module, used to establish a fluid-solid assembly coupling model corresponding to the dredging pump according to the fluid-solid assembly coupling model and the flow field model, and determine the current stress parameters and current deformation parameters of the dredging pump according to the fluid-solid assembly coupling model; A judgment module is used to use the current design parameters as the target design parameters of the dredging pump if the current stress parameter is less than the preset limit stress; if the current stress parameter is greater than or equal to the preset limit stress, determine an optimization function according to the current stress parameter and the current deformation parameter, optimize the current design parameters according to the optimization function to obtain the next design parameters, and use the next design parameters as the current design parameters, and return to execute the step of determining the fluid-solid assembly model and flow field model corresponding to the dredging pump according to the current design parameters of the dredging pump and the working conditions corresponding to the dredging pump.

9. An electronic device, characterized in that: include: one or more processors; a memory for storing one or more programs, When the one or more programs are executed by the one or more processors, the one or more processors implement the design parameter optimization method according to any one of claims 1 to 7.

10. A readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method for optimizing the design parameters according to any one of claims 1 to 7 is implemented.

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