Fluid-solid boundary iterative coupling mixing test method and device

Abstract

The invention provides a fluid-solid boundary iterative coupling mixing test method and device which can be applied to the technical fields of fluid mechanics, solid mechanics, numerical simulation and engineering. The test method comprises the following steps: splitting an initial fluid-solid structure into a plurality of sub-structures, wherein the plurality of sub-structures comprise a physical sub-structure and a numerical sub-structure; on the basis of a response error between the physical substructure and the numerical substructure, influence factor information of the test convergence index is determined, the response error represents an error between input response information of the input physical substructure and output response information of the numerical substructure, and the influence factor information comprises an iterative algorithm and a substructure; under the condition that the response error does not meet a preset error threshold value, updating the input response information, the output response information and the substructure based on an algorithm optimization strategy and a parameter updating strategy of an iterative algorithm to obtain a target structure; and based on the target numerical value substructure, the target physical substructure and a preset response process, determining a dynamic water pressure time history and a target motion result.

Description

Technical Field

[0001] The present invention relates to the fields of fluid mechanics, solid mechanics, numerical simulation and engineering technology, and in particular to a fluid-solid boundary iterative coupling hybrid test method and device. Background Art

[0002] At present, bridge construction has gradually extended from inland to offshore. When an earthquake occurs, the bridge piers in deep water will move under the action of the earthquake, and at the same time, the movement state of the water body can be changed, so that the water body reacts on the bridge piers in the form of dynamic water pressure, forming an interaction between the bridge piers and water. The mutual coupling between the piers and water will not only change the vibration form of the bridge structure, but also amplify its dynamic response under the action of the earthquake. Therefore, the dynamic water effect is an important issue that must be considered in the seismic design of deep-water bridges. The analysis methods for the fluid-solid dynamic coupling of structures under earthquakes in related technologies can include analytical methods, numerical methods, experimental methods, etc.

[0003] The inventors found that in the related technologies, the analytical and numerical methods for analyzing the fluid-solid dynamic coupling of structures under earthquake action lack the support of response data, and the accuracy of the results is relatively low; in the experimental methods, the underwater vibration table test is limited by the similarity rate, the equipment requirements for the real-time fluid-solid mixing test are high and the cost is high, and the water entry boundary is difficult to fully reproduce, and the universality and accuracy are low, which makes it difficult to meet the needs of actual engineering applications. Summary of the invention

[0004] In view of the above problems, the present disclosure provides a fluid-solid boundary iterative coupling hybrid test method, device, equipment, medium and program product.

[0005] According to a first aspect of the present disclosure, a fluid-solid boundary iterative coupling hybrid test method is provided, comprising: splitting an initial fluid-solid structure into a plurality of substructures, wherein the plurality of substructures include a physical substructure and a numerical substructure, the physical substructure corresponds to the fluid, the numerical substructure corresponds to the solid structure, and the boundary between the numerical substructure and the physical substructure corresponds to the boundary between the solid and the fluid; based on a response error between the physical substructure and the numerical substructure, determining influencing factor information of a test convergence index, wherein the response error characterizes the error between input response information of the input physical substructure and output response information of the numerical substructure, the influencing factor information includes an iterative algorithm and a substructure, and the iterative The iterative algorithm is used to correct the response error between the numerical substructure and the physical substructure to complete the fitting of the substructure boundary; when the response error does not meet the preset error threshold, the input response information, output response information and substructure are updated based on the algorithm optimization strategy and parameter update strategy of the iterative algorithm to obtain the target structure, wherein the target structure includes a target numerical substructure and a target physical substructure, the algorithm optimization strategy of the iterative algorithm is used to update the input response information and the output response information, and the parameter update strategy is used to update the substructure; and based on the target numerical substructure, the target physical substructure and the preset response process, the dynamic water pressure time history and the target motion result are determined.

[0006] A second aspect of the present disclosure provides a fluid-solid boundary iterative coupling hybrid test device, the device comprising: a structure splitting module, used to split an initial fluid-solid structure into multiple substructures, wherein the multiple substructures include a physical substructure and a numerical substructure, the physical substructure corresponds to the fluid, the numerical substructure corresponds to the solid structure, and the boundary between the numerical substructure and the physical substructure corresponds to the boundary between the solid and the fluid; an influencing factor information determination module, used to determine the influencing factor information of the test convergence index based on the response error between the physical substructure and the numerical substructure, wherein the response error represents the error between the input response information of the input physical substructure and the output response information of the numerical substructure, and the influencing factor information includes an iterative algorithm and a substructure, The iterative algorithm is used to correct the response error between the numerical substructure and the physical substructure and complete the fitting of the substructure boundary; the structure update module is used to update the input response information, output response information and substructure based on the algorithm optimization strategy and parameter update strategy of the iterative algorithm when the response error does not meet the preset error threshold to obtain the target structure, wherein the target structure includes a target numerical substructure and a target physical substructure, the algorithm optimization strategy of the iterative algorithm is used to update the input response information and the output response information, and the parameter update strategy is used to update the substructure; and the result determination module is used to determine the dynamic water pressure time history and the target motion result based on the target numerical substructure, the target physical substructure and the preset response process.

[0007] A third aspect of the present disclosure provides an electronic device, comprising: one or more processors; and a memory for storing one or more computer programs, wherein the one or more processors execute the one or more computer programs to implement the steps of the above method.

[0008] The fourth aspect of the present disclosure further provides a computer-readable storage medium having a computer program or instructions stored thereon, which implements the steps of the above method when the above computer program or instructions are executed by a processor.

[0009] The fifth aspect of the present disclosure further provides a computer program product, including a computer program or instructions, which implement the steps of the above method when the above computer program or instructions are executed by a processor.

[0010] According to the fluid-solid boundary iterative coupling hybrid test method, device, equipment, medium and program product provided by the embodiments of the present disclosure, the initial fluid-solid structure is split into physical substructures and numerical substructures for independent solution, so that the response information and substructures are updated by utilizing the response errors, algorithm optimization strategies and parameter updating strategies between the substructures to obtain the target structure, thereby improving the convergence of the test method, and then based on the target numerical substructure, the target physical substructure and the preset response process, the dynamic water pressure time history and the target motion result are obtained. Since the target convergence index is obtained after double iteration of the test convergence index based on the optimization strategies and parameter updating strategies of multiple iterative algorithms, the scientific nature of the experimental results is guaranteed, and on this basis, the accuracy of the dynamic water pressure time history and the target motion results is improved, avoiding the defects of difficult data collection, high test cost and difficult convergence of test results in traditional methods, and further improving the universality of the fluid-solid dynamic coupling analysis method. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] The above contents and other objects, features and advantages of the present disclosure will become more apparent through the following description of the embodiments of the present disclosure with reference to the accompanying drawings, in which:

[0012] Figure 1 A schematic diagram showing an application scenario of a fluid-solid boundary iterative coupling hybrid test method, device, equipment, medium, and program product according to an embodiment of the present disclosure;

[0013] Figure 2 A flow chart of a fluid-solid boundary iterative coupling hybrid test method according to an embodiment of the present disclosure is schematically shown;

[0014] Figure 3 A schematic diagram schematically shows the splitting of an initial fluid-solid structure into multiple substructures according to an embodiment of the present disclosure;

[0015] Figure 4The following schematically shows a flow chart of offline iterative hybrid test data exchange according to an embodiment of the present disclosure;

[0016] Figure 5 A schematic diagram schematically illustrates convergence factors of an offline iterative hybrid test method according to an embodiment of the present disclosure;

[0017] Figure 6 A flow chart of another fluid-solid coupling offline iterative hybrid test method according to an embodiment of the present disclosure is schematically shown;

[0018] Figure 7 An example diagram schematically shows a structure splitting and updating process according to an embodiment of the present disclosure;

[0019] Figure 8 The structure block diagram of the fluid-solid boundary iterative coupling mixing test device according to an embodiment of the present disclosure is schematically shown;

[0020] Fig. 9 A block diagram of an electronic device suitable for implementing a fluid-solid boundary iterative coupling hybrid test method according to an embodiment of the present disclosure is schematically shown. DETAILED DESCRIPTION

[0021] Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the present disclosure. In the following detailed description, for ease of explanation, many specific details are set forth to provide a comprehensive understanding of the embodiments of the present disclosure. However, it is apparent that one or more embodiments may also be implemented without these specific details. In addition, in the following description, descriptions of known structures and technologies are omitted to avoid unnecessary confusion of the concepts of the present disclosure.

[0022] The terms used herein are only for describing specific embodiments and are not intended to limit the present disclosure. The terms "comprise", "include", etc. used herein indicate the existence of the features, steps, operations and / or components, but do not exclude the existence or addition of one or more other features, steps, operations or components.

[0023] All terms (including technical and scientific terms) used herein have the meanings commonly understood by those skilled in the art unless otherwise defined. It should be noted that the terms used herein should be interpreted as having a meaning consistent with the context of this specification and should not be interpreted in an idealized or overly rigid manner.

[0024] When using expressions such as "at least one of A, B, and C, etc.", they should generally be interpreted according to the meaning of the expression commonly understood by those skilled in the art (for example, "a system having at least one of A, B, and C" should include but is not limited to a system having A alone, B alone, C alone, A and B, A and C, B and C, and / or A, B, C, etc.).

[0025] It should be noted that in the embodiments of the present application, certain software, components, models and other existing solutions in the industry may be mentioned, and they should be regarded as exemplary. Their purpose is only to illustrate the feasibility of implementing the technical solution of the present application, but it does not mean that the applicant has or will necessarily use the solution.

[0026] In the technical solution of the present disclosure, the user information (including but not limited to user personal information, user image information, user device information, such as location information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved are all information and data authorized by the user or fully authorized by all parties, and the collection, storage, use, processing, transmission, provision, disclosure and application of the relevant data comply with relevant laws, regulations and standards, take necessary confidentiality measures, do not violate public order and good morals, and provide corresponding operation entrances for users to choose to authorize or refuse.

[0027] In the process of conceiving the present disclosure, the inventors found that in the related technologies, the analytical and numerical methods for analyzing the fluid-solid dynamic coupling of structures under earthquake action lacked the support of response data, and the accuracy of the results was relatively low; in the experimental methods, the underwater vibration table test was limited by the similarity rate, the equipment requirements for the real-time fluid-solid mixing test were high and the cost was high, and the water entry boundary was difficult to fully reproduce, and the universality and accuracy were low, making it difficult to meet the needs of actual engineering applications.

[0028] In view of this, the present invention splits the initial fluid-solid structure into physical substructures and numerical substructures for independent solution, thereby utilizing the response error between the substructures, the algorithm optimization strategy and the parameter updating strategy to update the response information and the substructure to obtain the target structure, thereby improving the convergence of the experimental method, and then based on the target numerical substructure, the target physical substructure and the preset response process, obtaining the dynamic water pressure time history and the target motion result. Since the target convergence index is obtained after double iteration of the experimental convergence index based on the optimization strategy and parameter updating strategy of multiple iterative algorithms, the scientific nature of the experimental results is guaranteed, and on this basis, the accuracy of the dynamic water pressure time history and the target motion results is improved, avoiding the defects of difficult data collection, high experimental cost and difficult convergence of experimental results in traditional methods, and further improving the universality of the fluid-solid dynamic coupling analysis method.

[0029] The embodiments of the present disclosure provide a fluid-solid boundary iterative coupling hybrid test method, apparatus, device, medium and program product, the method comprising: splitting an initial fluid-solid structure into multiple substructures, wherein the multiple substructures include a physical substructure and a numerical substructure, the physical substructure corresponds to the fluid, the numerical substructure corresponds to the solid structure, and the boundary between the numerical substructure and the physical substructure corresponds to the boundary between the solid and the fluid; based on the response error between the physical substructure and the numerical substructure, determining the influencing factor information of the test convergence index, wherein the response error represents the error between the input response information of the input physical substructure and the output response information of the numerical substructure, and the influencing factor information includes the iterative algorithm and substructure, the iterative algorithm is used to correct the response error between the numerical substructure and the physical substructure to complete the fitting of the substructure boundary; when the response error does not meet the preset error threshold, the input response information, the output response information and the substructure are updated based on the algorithm optimization strategy and the parameter update strategy of the iterative algorithm to obtain the target structure, wherein the target structure includes a target numerical substructure and a target physical substructure, the algorithm optimization strategy of the iterative algorithm is used to update the input response information and the output response information, and the parameter update strategy is used to update the substructure; and based on the target numerical substructure, the target physical substructure and the preset response process, the dynamic water pressure time course and the target motion result are determined.

[0030] Figure 1 The application scenario diagram of the fluid-solid boundary iterative coupling hybrid test method, device, equipment, medium and program product according to the embodiment of the present disclosure is schematically shown.

[0031] like Figure 1 As shown, the application scenario 100 according to this embodiment may include a first terminal device 101, a second terminal device 102, a third terminal device 103, a network 104, a server 105, and a monitoring device 106. The network 104 is used to provide a medium for a communication link between the first terminal device 101, the second terminal device 102, the third terminal device 103, and the server 105. The network 104 may include various connection types, such as wired, wireless communication links, or optical fiber cables, etc.

[0032] The monitoring device 106 can be used to monitor the displacement and motion data of underwater engineering under the action of external forces, including but not limited to underwater displacement sensors, underwater laser scanners, underwater radars and underwater robots. The monitoring device 106 can be connected to the server 105 or a server cluster through the network 104 to send the monitored dynamic water pressure data and motion data to the server 105 for storage and analysis.

[0033] For example, the monitoring device 106 is an underwater pressure sensor, which is arranged on a physical substructure in the structural system, and the physical substructure is placed in the upper water tank of the loading device 107. The data of the numerical substructure in the structural system can be processed by the server 105 or a server cluster connected to the server 105. The server 105 transmits the data command to the loading device 107, drives the loading device 107 to load, and the monitoring device 106 can monitor the dynamic water pressure data, and the dynamic water pressure data is fed back to the server 105. The server 105 can display the processing results through the first terminal device 101, the second terminal device 102, and the third terminal device 103. The user can use the first terminal device 101, the second terminal device 102, and the third terminal device 103 to interact with the server 105 through the network 104 to receive or send messages, etc. Various communication client applications can be installed on the first terminal device 101, the second terminal device 102, and the third terminal device 103, such as shopping applications, web browser applications, search applications, instant messaging tools, email clients, social platform software, etc. (only as examples).

[0034] The first terminal device 101, the second terminal device 102, and the third terminal device 103 may be various electronic devices having display screens and supporting web browsing, including but not limited to smart phones, tablet computers, laptop computers, desktop computers, and the like.

[0035] The server 105 may be a server that provides various services, such as a background management server (only as an example) that provides support for websites browsed by users using the first terminal device 101, the second terminal device 102, and the third terminal device 103. The background management server may analyze and process the received data such as user requests, and feed back the processing results (such as web pages, information, or data obtained or generated according to user requests) to the terminal device.

[0036] It should be noted that the fluid-solid boundary iterative coupling mixing test method provided in the embodiment of the present disclosure can generally be executed by the server 105. Accordingly, the fluid-solid boundary iterative coupling mixing test device provided in the embodiment of the present disclosure can generally be set in the server 105. The fluid-solid boundary iterative coupling mixing test method provided in the embodiment of the present disclosure can also be executed by a server or server cluster that is different from the server 105 and can communicate with the first terminal device 101, the second terminal device 102, the third terminal device 103 and / or the server 105. Accordingly, the fluid-solid boundary iterative coupling mixing test device provided in the embodiment of the present disclosure can also be set in a server or server cluster that is different from the server 105 and can communicate with the first terminal device 101, the second terminal device 102, the third terminal device 103 and / or the server 105.

[0037] It should be understood that Figure 1 The number of terminal devices, networks, monitoring devices, loading devices and servers in the embodiment is only for illustration. According to the implementation requirements, there may be any number of terminal devices, monitoring devices, networks, loading devices and servers.

[0038] The following will be based on Figure 1 The scene described by Figure 2~Figure 7 The fluid-solid boundary iterative coupling hybrid test method of the disclosed embodiment is described in detail.

[0039] Figure 2 The flowchart of the fluid-solid boundary iterative coupling hybrid test method according to an embodiment of the present disclosure is schematically shown.

[0040] like Figure 2 As shown, the fluid-solid boundary iterative coupling hybrid test method of this embodiment includes operations S210 to S240.

[0041] In operation S210, the initial fluid-solid structure is split into multiple substructures, wherein the multiple substructures include physical substructures and numerical substructures, the physical substructure corresponds to the fluid, the numerical substructure corresponds to the solid structure, and the boundary between the numerical substructure and the physical substructure corresponds to the boundary between the solid and the fluid.

[0042] In the embodiments of the present disclosure, the initial fluid-solid structure is a total structure including fluid and solid, and the structural part corresponding to the fluid is used as a physical substructure, and the structural part corresponding to the solid is used as a numerical substructure, so that the fluid part and the solid part can be solved independently during the entire external force action time period, and then used to analyze the coupling effect of the fluid-solid structure under the action of external force. The boundaries between the split substructures correspond to the boundaries between the solid and the fluid. It can be understood that the fluid in the present disclosure can include water and gas, and the solid structure can be a solid that interacts with the fluid to produce motion and displacement. The specific type is not limited here.

[0043] In operation S220, based on the response error between the physical substructure and the numerical substructure, the influencing factor information of the experimental convergence index is determined, wherein the response error characterizes the error between the input response information of the input physical substructure and the output response information of the numerical substructure, and the influencing factor information includes an iterative algorithm and a substructure, and the iterative algorithm is used to correct the response error between the numerical substructure and the physical substructure to complete the fitting of the substructure boundary.

[0044] In the embodiment of the present disclosure, the response error can also be referred to as a response convergence index, which is an index used to determine whether the test method has converged (which can be denoted as ε j ). When the response convergence index is less than or equal to the preset error threshold (which can be recorded as ε max), it can be determined that the test method meets the convergence requirements.

[0045] In an embodiment of the present disclosure, the iterative algorithm may be an iterative algorithm for solving fixed point problems, including at least one of a fixed point iteration method, a Mann iteration method, and an Ishikawa iteration method. Using an iterative algorithm to correct the response error between the numerical substructure and the physical substructure, completing the substructure boundary fitting may include: determining the initial response error between the numerical substructure and the physical substructure based on an initial iterative algorithm; when the initial response error is greater than a preset error threshold, the initial iterative algorithm may be updated and optimized, an intermediate iterative algorithm may be determined, and an intermediate response error between the numerical substructure and the physical substructure may be determined based on the intermediate iterative algorithm cycle; when the intermediate response error is less than or equal to the preset error threshold, the intermediate iterative algorithm may be determined as a target iterative algorithm, which is used to correct the response error between the numerical substructure and the physical substructure, and complete the substructure boundary fitting. It should be noted that the analysis method for determining the convergence of the experiment includes but is not limited to a spectral radius analysis method, a mapping relationship analysis method, and the like.

[0046] In operation S230, when the response error does not meet the preset error threshold, the input response information, the output response information and the substructure are updated based on the algorithm optimization strategy and the parameter update strategy of the iterative algorithm to obtain the target structure, wherein the target structure includes a target numerical substructure and a target physical substructure, the algorithm optimization strategy of the iterative algorithm is used to update the input response information and the output response information, and the parameter update strategy is used to update the substructure.

[0047] In an embodiment of the present disclosure, the algorithm optimization strategy may represent that when the initial iterative algorithm cannot meet the preset error threshold, the initial iterative algorithm is updated (including algorithm replacement and algorithm optimization) to achieve experimental convergence. The parameter update strategy may represent that the reference structure is updated by the split numerical substructure and physical substructure, and the additional hydrodynamic unit is obtained by determining the hydrodynamic pressure value and performing structural identification, so as to combine the additional hydrodynamic unit with the numerical substructure and the physical substructure to obtain the target structure that meets the experimental convergence.

[0048] In operation S240 , a hydrodynamic pressure time history and a target motion result are determined based on the target numerical substructure, the target physical substructure, and a preset response process.

[0049] In an embodiment of the present disclosure, the preset response process may include a first response process and a second response process. The first response process may characterize the process of solid structure moving through the boundary to fluid response, and the second response process may characterize the process of fluid moving through the interface pressure to solid structure response.

[0050] In a feasible embodiment, the initial input response information can be passed to the physical substructure, so as to determine the dynamic water pressure time history of the current iteration step according to the experiment, and then the dynamic water pressure time history determined by the experiment can be substituted into the numerical substructure to obtain the initial output response signal of the numerical substructure of the current iteration step; after determining the initial output response signal, the initial input response information and the initial output response signal can be calculated for the response error (response convergence index), and when the response convergence index is greater than the preset error threshold, the dynamic water pressure time history and the target motion result can be obtained by a cyclic iteration algorithm until the response convergence index is less than or equal to the preset error threshold, so as to achieve dynamic matching of interface vibration. It can be understood that the initial motion data may include the initial input response information, the dynamic water pressure time history and the initial output response signal.

[0051] It is understood that the external force in the present disclosure can represent the external force acting on the initial fluid-solid structure and causing the fluid-solid structure to interact with each other, including but not limited to earthquake force and wind force. The target motion model can be used to calculate the motion result of the fluid-solid structure under the action of the external force.

[0052] For example, when deep-water bridge piers move under the action of earthquake forces, the movement state of the water body will be changed, causing the water body to react on the bridge piers in the form of dynamic water pressure, forming an interaction between the bridge piers and the water. For another example, when wind force acts on a high-rise building, the building will deform or move due to the pressure of the wind. The height and shape of the building will affect the flow state of the wind, thereby changing the way the wind acts on the building. The wind not only exerts direct pressure, but may also cause vibration and displacement of the building, thus forming a complex interaction relationship between the wind and the building structure.

[0053] Figure 3 The schematic diagram schematically shows the splitting of an initial fluid-solid structure into multiple substructures according to an embodiment of the present disclosure.

[0054] like Figure 3 As shown in Figure (a), taking a deep-water bridge pier as an example, the initial fluid-solid structure 310 may include a fluid (water body) 311, a solid structure (bridge pier) 312, and an interface 313 between the fluid-solid structure. After the initial fluid-solid structure 310 is split, Figure 3 As shown in (b) and (c) of the figure, the part corresponding to the fluid 311 is used as the physical substructure 320, and the part corresponding to the solid structure 312 is used as the numerical substructure 330, so that the fluid part and the solid structure part can be solved independently during the entire external force (such as earthquake force) time period.

[0055] According to the embodiments of the present disclosure, the initial fluid-solid structure is split into a physical substructure and a numerical substructure for independent solution, and the response information and the substructure are updated by utilizing the response error between the substructures, the algorithm optimization strategy and the parameter updating strategy, so as to obtain the target structure, thereby improving the convergence of the test method, and then obtaining the dynamic water pressure time history and the target motion result based on the target numerical substructure, the target physical substructure and the preset response process. Since the target convergence index is obtained by doubly iterating the test convergence index based on the optimization strategy and the parameter updating strategy of multiple iterative algorithms, the scientific nature of the experimental results is guaranteed, and on this basis, the accuracy of the dynamic water pressure time history and the target motion results is improved, thereby avoiding the defects of the traditional method such as the difficulty of data collection, the high test cost and the difficulty of convergence of test results, and further improving the universality of the fluid-solid dynamic coupling analysis method.

[0056] It can be understood that the above has explained how to determine the dynamic water pressure time course and the target motion result, and the following will explain how to determine the target structure.

[0057] According to an embodiment of the present disclosure, when a response error does not meet a preset error threshold, an algorithm optimization strategy and a parameter update strategy based on an iterative algorithm are used to update input response information, output response information, and a substructure to obtain a target structure, including: when a response error does not meet a preset error threshold, the input response information and the output response information are updated based on an iterative algorithm to obtain an updated response error; when the updated response error does not meet a preset error threshold, the substructure is updated based on a parameter update strategy to obtain a target structure.

[0058] In the embodiments of the present disclosure, the update response error can characterize the error between the input response information of the physical substructure and the output response information of the numerical substructure in the intermediate iteration stage obtained after the update optimization or replacement of the initial iteration algorithm. Further, considering that the update optimization of the iteration algorithm still cannot achieve the experimental convergence or the experimental convergence effect is poor, the present disclosure can update the substructure through the parameter update strategy to obtain the target structure that meets the experimental convergence requirements.

[0059] According to the embodiments of the present disclosure, by combining the iterative algorithm and the parameter updating strategy (double guarantee), the convergence, accuracy and efficiency of the experimental method can be effectively improved, which can not only ensure the stable operation of the algorithm, but also ensure that each update moves towards the optimal goal, which is suitable for complex optimization problems.

[0060] It can be understood that an example of how to determine the target structure has been described above, and an example of how to determine the input response information and the output response information will be described below.

[0061] According to an embodiment of the present disclosure, the method further includes: constructing a target motion model of the initial fluid-solid structure under the action of external force; and determining input response information and output response information based on the physical substructure, the numerical substructure and the target motion model.

[0062] In an embodiment of the present disclosure, the target motion model can be constructed based on the fusion of the first motion model corresponding to the physical substructure and the second motion model corresponding to the numerical substructure. The split physical substructure and the numerical substructure can be regarded as a structural system, so as to construct a target motion model of the structural system under the action of external forces, including: the first motion model can be constructed using the dynamic water pressure model function and the external force acceleration; the second motion model can be constructed using the first motion model, external force information, response information and dynamic parameters; and the target motion model can be constructed by combining the first motion model and the second motion model.

[0063] In an embodiment of the present disclosure, after the target motion model is obtained, an offline iterative hybrid test may be performed based on the physical substructure, the numerical substructure and the target motion model.

[0064] Figure 4 The following schematically shows a flow chart of offline iterative hybrid test data exchange according to an embodiment of the present disclosure.

[0065] like Figure 4 As shown, the initial value 401 of the dynamic water pressure can be estimated based on experience, and on this basis, the initial input response information 403 (initial motion data) corresponding to different time points 402 can be obtained. The time point can be recorded as T, T=(t0, t1, ..., t n ), the initial input response information can be recorded as u E (1) (T),u E (1) (T)={u E (1) (t0),u E (1) (t1),u E (1) (t2), ..., u E (1) (t n )}.

[0066] After determining the initial input response information 403, the initial input response information 403 can be passed to the physical substructure, so as to determine the dynamic water pressure time history 404 of the current iteration step (first iteration) according to the experiment. The dynamic water pressure time history can be recorded as F (1) (T), F (1) (T)={F (1) (t0), F (1) (t1), F(1) (t2), ..., F (1) (t n After obtaining the dynamic water pressure time history 404, the dynamic water pressure time history 404 can be substituted into the numerical substructure to obtain the initial output response signal 405 of the numerical substructure at the current iteration step (first iteration), which can be recorded as u N (1) (T),u N (1) (T)={u N (1) (t0),u N (1) (t1),u N (1) (t2), ..., u N (1) (t n )}.

[0067] After obtaining the initial output response signal 405, the initial error between the initial input response information 403 and the initial output response signal 405 can be calculated to obtain the error convergence index ε j , and then compare the error convergence index ε j and the preset error threshold ε max The comparison results between j >ε max In the case of , the loop iteration algorithm uses the initial response information of the previous iteration step to update the current input information, and obtains the process input response information 406, the process dynamic water pressure time history 407 and the process output response signal 408, which can be recorded as u E (2) (T), F (2) (T) and u N (2) (T); on this basis, the process error between the process input response information 406 and the process output response signal 408 is calculated to obtain the convergence index ε j , in ε j ≤ε max In the case of j It is determined as the target convergence indicator, the fitting of the substructure boundary is completed, and the process dynamic water pressure time series 407 and the process output response signal 408 are respectively used as the target dynamic water pressure time series and the target output response signal (target motion result). It can be understood that the response information is updated based on the same iterative algorithm in the entire offline iterative hybrid test.

[0068] Figure 5 A schematic diagram schematically illustrates convergence factors of an offline iterative hybrid test method according to an embodiment of the present disclosure.

[0069] like Figure 5 As shown, after the initial input response information 403 is input into the iterative system, the initial output response signal 405 can be obtained based on the structural system 411 (including the physical substructure and the numerical substructure) in the iterative system, and when the response error 420 does not meet the preset convergence threshold according to the initial input response information 403 and the initial output response signal 405, the input response information is cyclically updated using the iterative algorithm 412 until the response error is less than or equal to the preset error threshold after the nth iteration, and the convergence of the offline iterative hybrid test method is met. It can be understood that the factors affecting the convergence of the test method include the substructure and iterative algorithm in the iterative system. It should be noted that the type of iterative algorithm is based on the standard of satisfying the update of the input response information, and is not specifically limited here.

[0070] It can be understood that the above has described examples of how to determine input response information and output response information, and the following will further describe how to determine the target structure.

[0071] According to an embodiment of the present disclosure, a substructure is updated based on a parameter update strategy to obtain a target structure, including: constructing a reference structure corresponding to an initial fluid-solid structure, wherein the reference structure includes a reference numerical substructure and a reference physical substructure; and updating a physical substructure and a numerical substructure based on the reference numerical substructure, the reference physical substructure and the parameter update strategy to obtain a target structure.

[0072] In an embodiment of the present disclosure, considering that it is impossible to determine the additional hydrodynamic units attached to the numerical substructure, the additional hydrodynamic units of the corresponding measuring points can be determined by constructing a reference structure; first, the number of target measuring points and the hydrodynamic pressure corresponding to the target number of measuring points are determined, and the additional hydrodynamic units are identified based on the hydrodynamic pressure values; further, the additional hydrodynamic units can be combined with the water-related solid structure (numerical substructure) as an updated numerical substructure to obtain the target structure.

[0073] In the embodiments of the present disclosure, a suitable iterative algorithm can be selected to update the response error according to the actual requirements of the experiment (such as calculation accuracy, convergence speed, memory consumption, etc.). The iterative algorithm includes but is not limited to the fixed point iteration method, the Mann iteration method and the Ishikawa iteration method.

[0074] In a feasible embodiment, different iterative methods can be used to solve the fixed point problem. Through cyclic iteration, it is determined whether the response error satisfies the convergence of the test method. Especially when higher-precision simulation calculations are required in the test scenario, the Ishikawa iteration method can be used to quickly approximate the required solution.

[0075] In the embodiments of the present disclosure, different iterative algorithms are used to update the response information, which can meet the update requirements for different actual test scenarios. In particular, when the optimization problem involves multiple evaluation conditions (such as input response information and output response information), the Ishikawa iterative algorithm can better balance the various objectives, improve the target convergence, and make the test results more accurate.

[0076] It can be understood that an example of how to determine the target structure has been described above, and how to determine the target structure will be further described below.

[0077] According to an embodiment of the present disclosure, the physical substructure and the numerical substructure are updated based on the reference numerical substructure, the reference physical substructure and the parameter update strategy to obtain a target structure, including: based on the parameter update strategy, the reference numerical substructure and the reference physical substructure, the dynamic water pressure value is determined and the structure is identified to obtain an additional dynamic water unit; the additional dynamic water unit is combined with the numerical substructure as an updated target numerical substructure to obtain a target structure.

[0078] In the embodiments of the present disclosure, the parameter updating strategy can be characterized by updating the numerical substructure and the physical substructure by constructing a reference structure to obtain the target numerical substructure and the target physical substructure, so as to meet the convergence requirements of the test method. After constructing the reference structure, the reference structure can be used to obtain the dynamic water pressure, and then the additional dynamic water unit can be identified according to the dynamic water pressure value; and then the target structure is constructed based on the additional dynamic water unit, the reference structure, the numerical substructure and the physical substructure.

[0079] According to the embodiments of the present disclosure, by utilizing the structure splitting and updating method, it is possible to avoid the problems of high requirements for test equipment in existing fluid-solid coupling technology, difficulty in collecting measured dynamic water pressure data, errors caused by repeated loading processes that cause physical substructure damage in offline iterative hybrid tests, and difficulty in convergence of offline iterative hybrid test methods, thereby ensuring the convergence and accuracy of the test method.

[0080] It can be understood that an example of how to determine a target structure has been described above, and an example of how to construct a reference structure will be described below.

[0081] According to an embodiment of the present disclosure, the measuring point corresponding to the reference physical substructure is the reference measuring point; constructing a reference structure corresponding to the initial fluid-solid structure includes: taking the numerical substructure as the reference numerical substructure, and taking the physical substructure corresponding to the reference measuring point as the reference physical substructure, to obtain the reference structure.

[0082] In an embodiment of the present disclosure, the reference numerical substructure may represent a substructure corresponding to the numerical substructure, and the target numerical substructure may represent a substructure obtained by combining an additional hydrodynamic unit with a water-related solid structure.

[0083] For example, by constructing a good reference structure, an offline iterative hybrid test of fluid-solid coupling is carried out. Assuming that the fluid-solid coupling interface of the original structure has Q measuring points, the dynamic water pressure of q measuring points can be selected as the physical substructure (q<Q), and the model that reduces the dynamic water pressure of the measuring points, that is, the model subjected to the dynamic water pressure of q measuring points, is used as the reference structure. According to the response process of the response information (preset response process), a preliminary offline iterative hybrid test is carried out to measure the dynamic water pressure value for identification in the next step; according to the reference model test, the dynamic water pressure can be measured for model identification, so as to obtain the accurate expression of the additional dynamic water unit; on this basis, the target structure is constructed, the dynamic water pressure of the original structure is split, the dynamic water pressure values ​​of q measuring points are used as the physical substructure, and the dynamic water pressure values ​​of Qq measuring points are combined with the wading structure (numerical substructure) in the form of additional dynamic water units as the target numerical substructure, and then the target structure is obtained.

[0084] It can be understood that an example of how to construct a reference structure has been described above, and an example of how to determine a target iteration algorithm will be described below.

[0085] According to an embodiment of the present disclosure, the method also includes: when the response error does not meet the preset error threshold, using the intermediate iterative algorithm to update the input response information and the output response information to obtain intermediate input response information and intermediate output response information; determining the intermediate response error between the intermediate input response information and the intermediate output response information; and when the intermediate response error meets the preset error threshold, determining the intermediate iterative algorithm as the target iterative algorithm.

[0086] In the embodiment of the present disclosure, the initial response error ε1 can be obtained by using an iterative algorithm A (such as the Mann iterative algorithm). j , so that the initial response error ε1 can be j and the preset error threshold ε max Compare, ε1 j >ε max In the case of , the experiment cannot achieve convergence; thus, the iterative algorithm B (such as Ishikawa iterative algorithm) is used to replace the Mann iterative algorithm to obtain ε2 j , by taking the intermediate response error ε2 j and the preset error threshold ε max Compare and get ε2 j ≤ε max Under the condition of , the boundary fitting between the numerical substructure and the physical substructure is completed, and the convergence of the experimental method is achieved. It can be understood that the Ishikawa iteration algorithm is the target iteration algorithm that meets the requirements of achieving the convergence of the experimental method.

[0087] It can be understood that an example of how to determine a target iteration algorithm has been described above, and an example of how to determine the number of target measurement points will be described below.

[0088] According to an embodiment of the present disclosure, the number of measuring points corresponding to the target physical substructure is the target number of measuring points that meets the preset evaluation conditions; the method also includes: when the physical substructure and the numerical substructure do not meet the preset evaluation conditions, determining the target number of measuring points based on the additional dynamic water mass corresponding to the initial measuring points, the mass of the numerical substructure and the damping of the numerical substructure.

[0089] In the embodiment of the present disclosure, considering that the selected initial measuring points may not meet the preset evaluation conditions, the additional dynamic water mass, the mass of the numerical substructure and the numerical substructure damping can be used to determine the number of target measuring points. For example, the ratio η of the additional dynamic water mass (dynamic water pressure is expressed as additional mass) at the height of the water-facing surface corresponding to the q measuring points to the original structure mass and the numerical substructure damping ratio ξ N Satisfying the relationship η≤2ξ N , and on this basis determine the number of target measuring points.

[0090] According to an embodiment of the present disclosure, input response information and output response information are determined based on a physical substructure, a numerical substructure and a target motion model, including: constructing a target motion model based on a second motion model and a first motion model, the first motion model representing a motion model corresponding to the physical substructure, and the second motion model representing a motion model corresponding to the numerical substructure; and determining input response information and output response information based on the physical substructure, the numerical substructure and the target motion model.

[0091] In an embodiment of the present disclosure, the first motion model may be a motion model corresponding to a physical substructure, and the second motion model may be a motion model corresponding to a numerical substructure. By merging the first motion model with the second motion model, a target motion model of the structural system can be obtained; thereby, the target motion model is used to estimate the initial value of the dynamic water pressure, thereby obtaining the initial input response information in the initial motion data, and further determining the dynamic water pressure time series and the initial output response signal through a preset response process.

[0092] For example, the deep-water bridge pier under earthquake action is taken as the initial fluid-solid structure, the water body is taken as the physical substructure, and the bridge pier is taken as the numerical substructure. The motion equation of the single-degree-of-freedom underwater structure under earthquake action can be expressed as the following formula (1):

[0093] (1);

[0094] Among them, m, c, and k can represent the mass, damping, and stiffness of the single-degree-of-freedom underwater structure, respectively. It can characterize earthquake loads, can be the ground acceleration, F h can be the hydrodynamic pressure load, , , The acceleration, velocity and displacement responses of the structure under excitation can be represented respectively.

[0095] On this basis, combined with the offline iterative hybrid experimental data exchange strategy, the first motion model of the physical substructure of the current iteration step can be determined as shown in the following formula (2):

[0096] (2);

[0097] Where f can be the dynamic water pressure model function, can be the input response information of the physical substructure, and j can represent the current iteration step. Then the second motion model of the numerical substructure of the current iteration step can be determined, as shown in the following formula (3):

[0098] (3);

[0099] in, , and The output response signals (output acceleration, output velocity and output displacement) of the numerical substructure can be represented respectively. If the numerical substructure and the physical substructure are combined and understood as a structural system, the target motion model of the structural system at the current iteration step can be expressed as:

[0100] (4);

[0101] It can be understood that at the jth iteration, the physical substructure drives the signal As structural system input, the numerical substructure response signal Export as a structural system.

[0102] It can be understood that an example of how to determine initial motion data has been described above, and an example of how to determine a target motion result will be described below.

[0103] In an embodiment of the present disclosure, the preset response process may include a first response process from a solid structure to a fluid via a boundary, and a second response process from a fluid to a solid structure via a boundary. The hydrodynamic pressure time history may characterize the motion data of a physical substructure corresponding to different time points obtained using a first motion model. The target motion result may characterize the motion result of a numerical substructure corresponding to different time points obtained using a second motion model. A response error less than or equal to a preset error threshold may be determined as a target response error.

[0104] In a feasible embodiment, taking the mixed test of wading bridge piers as an example, the fluid-solid boundary iterative coupling mixed test method based on the splitting and updating of the dynamic water pressure model may include: first, the initial fluid-solid structure is split, and the water body can be used as a physical substructure, and the solid structure (bridge pier) itself can be used as a numerical substructure. The numerical calculation and servo loading of this test method can be performed independently during the entire seismic action time period, and the acceleration time-history response error is iteratively corrected between the numerical substructure and the physical substructure to achieve balance and coordination at the boundary, thereby simulating the actual state of dynamic water pressure. Secondly, the key factors affecting the convergence of the test method can be identified. The factors affecting the convergence of the test method are as mentioned above. Figure 5 As shown in the figure, after evaluating the convergence of the test method, if it converges, a fluid-solid coupling offline iterative hybrid test can be performed. If it does not converge, it is necessary to perform iterative algorithm optimization. After the algorithm is optimized, the convergence of the test method is evaluated. If it converges, a fluid-solid coupling offline iterative hybrid test is required. If it still does not converge, the parameter update strategy can be used to update the physical substructure and the numerical substructure to meet the convergence requirements of the test method.

[0105] Figure 6 The flowchart of the fluid-structure coupling offline iterative hybrid test method according to an embodiment of the present disclosure is schematically shown.

[0106] like Figure 6 As shown, the fluid-solid coupling offline iterative hybrid test method may include operations S61 to S67.

[0107] In operation S61, the initial signal is estimated based on the empirical value, which can be expressed as .

[0108] In operation S62, the response information is input. The displacement and deformation of the outer contour interface of the water-entering part in the physical substructure can be calculated by the numerical substructure and sent to the loading device controller to control the deformation and displacement of the interface, which is recorded as .

[0109] In operation S63, the dynamic water pressure is measured by a micro underwater pressure sensor on the external contour interface. Take measurements.

[0110] In operation S64, the dynamic water pressure is fed back to the numerical substructure and the structural response is solved, which is recorded as output response information. .

[0111] In operation S65, a response error ε is calculated based on the input response information and the output response signal. j calculate.

[0112] In operation S66, it is determined whether ε j ≤ε max .

[0113] In operation S67, if the error is not satisfied, the error between the two is corrected by an iterative algorithm to obtain the input response information of the next iterative process. , repeat operations S62-S67 until the convergence condition is met and the interface vibration dynamic matching is achieved.

[0114] Figure 7 An example diagram of a structure splitting and updating process according to an embodiment of the present disclosure is schematically shown.

[0115] like Figure 7 As shown, a reference structure 71 corresponding to the initial fluid-solid structure 70 is constructed. The reference structure 71 may include a reference physical substructure 711 and a reference numerical substructure 712, and a fluid-solid coupling offline iterative hybrid test is performed; thus, the structure is identified according to the dynamic water pressure value actually measured in the test of the reference structure 71, so as to obtain an additional dynamic water unit; then, the dynamic water pressure of the original structure is split, and the dynamic water pressure of q measuring points is used as the updated physical substructure 721, and the dynamic water pressure of Qq measuring points is used as the target numerical substructure 722 together with the wading structure itself in the form of an additional dynamic water unit to obtain a target structure 73, and then the target structure 72 is used to perform an offline iterative hybrid test to measure and calculate the original structure response and the dynamic water pressure value.

[0116] According to an embodiment of the present disclosure, the preset response process includes a first response process from a solid structure to a fluid via a boundary, and a second response process from a fluid to a solid structure via a boundary; based on the target numerical substructure, the target physical substructure and the preset response process, the dynamic water pressure time series and the target motion result are determined, including: determining the dynamic water pressure time series based on the first response process, the target input response information and the target physical substructure; and determining the target motion result based on the dynamic water pressure time series, the second response process and the target numerical substructure.

[0117] In an embodiment of the present disclosure, the dynamic water pressure time history can represent a data set of multiple dynamic water pressure values ​​corresponding to different time points. The input command signal can be transmitted to the physical substructure according to the structural response-interface motion-fluid response, and the dynamic water pressure time history of the current iteration step can be measured according to the experiment; thereby, according to the fluid response-interface pressure-structural response, the dynamic water pressure measured by the experiment is substituted into the numerical substructure to obtain the output response information of the current iteration step. The target motion result can be the structural response information obtained based on the experimental method that meets the convergence requirements.

[0118] In another feasible embodiment, the fluid-solid coupling offline iterative hybrid test method may include the following operations S701 to S714.

[0119] In operation S701, the wading bridge pier is divided into a numerical substructure and the dynamic water pressure is divided into a physical substructure.

[0120] In operation S702, a fluid-solid coupling motion model of a wading bridge pier under earthquake action is constructed, and a fluid-solid interface in the fluid-solid system is replaced by a hybrid test numerical substructure and a physical substructure boundary simulation.

[0121] In operation S703, factors affecting convergence are identified, and it is determined that the factors affecting convergence of the test method include iterative algorithms and substructures.

[0122] In operation S704, the convergence of the test method is evaluated. If the convergence of the test method (ie, η≤2ξ) is satisfied, N , where η represents the mass ratio of the added mass of the physical substructure and the mass of the numerical substructure, ξ N represents the damping ratio of the numerical substructure), and then proceed to operation S705. Otherwise, if it does not converge, proceed to operations S709 to S710, and optimize or update the structural parameters through the algorithm (to make the adjusted structure satisfy η≤2ξ N ) to achieve the convergence goal.

[0123] In operation S705, initial signal estimation is performed, and initial input response information can be obtained by estimating the initial value of the dynamic water pressure.

[0124] In operation S706, according to the structural response-interface motion-fluid response, the input response information is transmitted to the physical substructure, and the dynamic water pressure time history of the current iteration step is measured according to the experiment.

[0125] In operation S707, according to the fluid response-interface pressure-structural response, the dynamic water pressure measured in the experiment is substituted into the numerical substructure to obtain the output response signal of the current iteration step.

[0126] In operation S708, convergence is judged. It is judged whether the convergence condition (ε j ≤ε max ), when the convergence condition is not met, enter the next cycle and repeat operations S706 to S708. The input response information of the next cycle can be obtained according to the iterative algorithm; when the convergence condition is met, terminate the test.

[0127] In operation S709, the iterative algorithm is optimized.

[0128] In operation S710, operation S704 is repeated to evaluate the convergence of the iterative algorithm after application optimization. If converged, proceed to S705 to S708. If not converged, directly proceed to operation S711 to S714 to achieve the convergence target by adjusting the structural parameters.

[0129] In operation S711, a reference structure is constructed to perform an offline iterative hybrid test of fluid-solid coupling. If the original structure fluid-solid coupling interface itself has Q measuring points, the dynamic water pressure of q measuring points can be selected as a physical substructure (q < Q), and the structure that reduces the dynamic water pressure of the measuring points, that is, the structure that is subjected to the dynamic water pressure of q measuring points, is used as a reference structure. According to S705~S708, an offline iterative hybrid test is initially performed to measure the dynamic water pressure value for subsequent operations to identify.

[0130] In operation S712, structural identification is performed based on the hydrodynamic pressure actually measured in the reference structure test, thereby obtaining an additional hydrodynamic unit expression.

[0131] In operation S713, an updated structure is constructed. The original structure dynamic water pressure is split, and the dynamic water pressure of q measuring points is used as a physical substructure, and the dynamic water pressure of Qq measuring points is used as a numerical substructure together with the wading structure itself in the form of an additional dynamic water unit, wherein the expression of the additional dynamic water unit is identified by S712, and this structure is determined as the target structure.

[0132] In operation S714, an offline iterative hybrid test is performed on the target structure according to S705 to S708, and the original structure response and the dynamic water pressure value are measured and calculated. Based on the above fluid-solid boundary iterative coupling hybrid test method, the present disclosure also provides a fluid-solid boundary iterative coupling hybrid test device. Figure 8 The device is described in detail.

[0133] Figure 8 The structural block diagram of the fluid-solid boundary iterative coupling mixing test device according to an embodiment of the present disclosure is schematically shown.

[0134] like Figure 8 As shown, the fluid-solid boundary iterative coupling hybrid test device of this embodiment includes a structure decomposition module 810, an influencing factor information determination module 820, a structure update module 830 and a result determination module 840.

[0135] The structure splitting module 810 is used to split the initial fluid-solid structure into multiple substructures, wherein the multiple substructures include physical substructures and numerical substructures, the physical substructure corresponds to the fluid, the numerical substructure corresponds to the solid structure, and the boundary between the numerical substructure and the physical substructure corresponds to the boundary between the solid and the fluid. In one embodiment, the structure splitting module 810 can be used to perform the operation S210 described above, which will not be repeated here.

[0136] The influencing factor information determination module 820 is used to determine the influencing factor information of the test convergence index based on the response error between the physical substructure and the numerical substructure, wherein the response error represents the error between the input response information of the input physical substructure and the output response information of the numerical substructure, and the influencing factor information includes an iterative algorithm and a substructure, and the iterative algorithm is used to correct the response error between the numerical substructure and the physical substructure to complete the fitting of the substructure boundary. In one embodiment, the influencing factor information determination module 820 can be used to perform the operation S220 described above, which will not be repeated here.

[0137] The structure update module 830 is used to update the input response information, the output response information and the substructure based on the algorithm optimization strategy and parameter update strategy of the iterative algorithm when the response error does not meet the preset error threshold, and obtain the target structure, wherein the target structure includes a target numerical substructure and a target physical substructure, the algorithm optimization strategy of the iterative algorithm is used to update the input response information and the output response information, and the parameter update strategy is used to update the substructure. In one embodiment, the structure update module 830 can be used to perform the operation S230 described above, which will not be repeated here.

[0138] The result determination module 840 is used to determine the dynamic water pressure time course and the target motion result based on the target numerical substructure, the target physical substructure and the preset response process. In one embodiment, the result determination module 840 can be used to perform the operation S240 described above, which will not be repeated here.

[0139] According to the embodiments of the present disclosure, the fluid-solid boundary iterative coupling hybrid test device includes a structure splitting module 810, an influencing factor information determination module 820, a structure updating module 830 and a result determination module 840. The initial fluid-solid structure is split into physical substructures and numerical substructures for independent solution, and the response information and substructures are updated by using the response error between the substructures, the algorithm optimization strategy and the parameter updating strategy to obtain the target structure, thereby improving the convergence of the test method. Then, based on the target numerical substructure, the target physical substructure and the preset response process, the dynamic water pressure time history and the target motion result are obtained. Since the target convergence index is obtained by double iterating the test convergence index based on the optimization strategy and parameter updating strategy of multiple iterative algorithms, the scientific nature of the experimental results is guaranteed. On this basis, the accuracy of the dynamic water pressure time history and the target motion results is improved, avoiding the defects of difficult data collection, high test cost and difficult convergence of test results in traditional methods, and further improving the universality of the fluid-solid dynamic coupling analysis method.

[0140] According to an embodiment of the present disclosure, the structure update module 830 includes: a response information update submodule and a substructure update submodule. The response information update submodule is used to update the input response information and the output response information based on an iterative algorithm to obtain an updated response error when the response error does not meet the preset error threshold; the substructure update submodule is used to update the substructure based on a parameter update strategy to obtain a target structure when the updated response error does not meet the preset error threshold.

[0141] According to an embodiment of the present disclosure, the device further includes: a motion model construction module and a response information determination module. The motion model construction module is used to construct a target motion model of the initial fluid-solid structure under the action of external force; and the response information determination module is used to determine input response information and output response information based on the physical substructure, the numerical substructure and the target motion model.

[0142] According to an embodiment of the present disclosure, the substructure updating submodule includes: a reference structure building unit and a substructure updating unit. The reference structure building unit is used to build a reference structure corresponding to the initial fluid-solid structure, wherein the reference structure includes a reference numerical substructure and a reference physical substructure; and the substructure updating unit is used to update the physical substructure and the numerical substructure based on the reference numerical substructure, the reference physical substructure and the parameter updating strategy to obtain the target structure.

[0143] According to an embodiment of the present disclosure, the substructure updating unit includes: a structure identification subunit and a target structure obtaining subunit. The structure identification subunit is used to determine the dynamic water pressure value and perform structure identification based on the parameter updating strategy, the reference numerical substructure, and the reference physical substructure to obtain an additional dynamic water unit; the target structure obtaining subunit is used to combine the additional dynamic water unit with the numerical substructure as an updated target numerical substructure to obtain a target structure.

[0144] According to an embodiment of the present disclosure, the measurement point corresponding to the reference physical substructure is the reference measurement point; the reference structure construction unit includes: a reference structure acquisition subunit, which is used to use the numerical substructure as a reference numerical substructure, and the physical substructure corresponding to the reference measurement point as a reference physical substructure to obtain a reference structure.

[0145] According to an embodiment of the present disclosure, the device further includes: a response information updating module, an intermediate response error determining module, and an iterative algorithm determining module. The response information updating module is used to update the input response information and the output response information using an intermediate iterative algorithm to obtain intermediate input response information and intermediate output response information when the response error does not meet a preset error threshold; the intermediate response error determining module is used to determine an intermediate response error between the intermediate input response information and the intermediate output response information; and the iterative algorithm determining module is used to determine the intermediate iterative algorithm as the target iterative algorithm when the intermediate response error meets a preset error threshold.

[0146] According to an embodiment of the present disclosure, the number of measuring points corresponding to the target physical substructure is the target number of measuring points that meets the preset evaluation conditions; the device also includes: a target measuring point number determination module, which is used to determine the target number of measuring points based on the additional dynamic water mass corresponding to the initial measuring points, the mass of the numerical substructure and the damping of the numerical substructure when the physical substructure and the numerical substructure do not meet the preset evaluation conditions.

[0147] According to an embodiment of the present disclosure, the response information determination module includes: a target motion model construction submodule and a response information determination submodule. The target motion model construction submodule is used to construct a target motion model based on the second motion model and the first motion model, the first motion model represents a motion model corresponding to the physical substructure, and the second motion model represents a motion model corresponding to the numerical substructure; and the response information determination submodule is used to determine the input response information and the output response information based on the physical substructure, the numerical substructure and the target motion model.

[0148] According to an embodiment of the present disclosure, the preset response process includes a first response process from a solid structure to a fluid via a boundary, and a second response process from a fluid to a solid structure via a boundary; the result determination module 840 includes: a water dynamic pressure time course determination submodule and a target motion result determination submodule. The water dynamic pressure time course determination submodule is used to determine the water dynamic pressure time course based on the first response process, the target input response information and the target physical substructure; and the target motion result determination submodule is used to determine the target motion result based on the water dynamic pressure time course, the second response process and the target numerical substructure.

[0149] According to an embodiment of the present disclosure, any multiple modules of the structure splitting module 810, the influencing factor information determination module 820, the structure updating module 830 and the result determination module 840 can be combined into one module for implementation, or any one of the modules can be split into multiple modules. Alternatively, at least part of the functions of one or more of these modules can be combined with at least part of the functions of other modules and implemented in one module. According to an embodiment of the present disclosure, at least one of the structure splitting module 810, the influencing factor information determination module 820, the structure updating module 830 and the result determination module 840 can be at least partially implemented as a hardware circuit, such as a field programmable gate array (FPGA), a programmable logic array (PLA), a system on a chip, a system on a substrate, a system on a package, an application specific integrated circuit (ASIC), or can be implemented by hardware or firmware such as any other reasonable way of integrating or packaging the circuit, or implemented in any one of the three implementation methods of software, hardware and firmware or in an appropriate combination of any of them. Alternatively, at least one of the structure splitting module 810, the influencing factor information determining module 820, the structure updating module 830 and the result determining module 840 may be at least partially implemented as a computer program module, which may perform corresponding functions when executed.

[0150] Fig. 9 A block diagram of an electronic device suitable for implementing a fluid-solid boundary iterative coupling hybrid test method according to an embodiment of the present disclosure is schematically shown.

[0151] like Fig. 9 As shown, the electronic device 900 according to an embodiment of the present disclosure includes a processor 901, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 902 or a program loaded from a storage part 908 to a random access memory (RAM) 903. The processor 901 may include, for example, a general-purpose microprocessor (e.g., a CPU), an instruction set processor and / or a related chipset and / or a dedicated microprocessor (e.g., an application-specific integrated circuit (ASIC)), etc. The processor 901 may also include an onboard memory for caching purposes. The processor 901 may include a single processing unit or multiple processing units for performing different actions of the method flow according to an embodiment of the present disclosure.

[0152] In RAM 903, various programs and data required for the operation of electronic device 900 are stored. Processor 901, ROM 902 and RAM 903 are connected to each other via bus 904. Processor 901 performs various operations of the method flow according to the embodiment of the present disclosure by executing the program in ROM 902 and / or RAM 903. It should be noted that the program can also be stored in one or more memories other than ROM 902 and RAM 903. Processor 901 can also perform various operations of the method flow according to the embodiment of the present disclosure by executing the program stored in the one or more memories.

[0153] According to an embodiment of the present disclosure, the electronic device 900 may further include an input / output (I / O) interface 905, which is also connected to the bus 904. The electronic device 900 may further include one or more of the following components connected to the input / output (I / O) interface 905: an input portion 906 including a keyboard, a mouse, etc.; an output portion 907 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage portion 908 including a hard disk, etc.; and a communication portion 909 including a network interface card such as a LAN card, a modem, etc. The communication portion 909 performs communication processing via a network such as the Internet. A drive 910 is also connected to the input / output (I / O) interface 905 as needed. A removable medium 911, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 910 as needed, so that a computer program read therefrom is installed into the storage portion 908 as needed.

[0154] The present disclosure also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiments; or may exist independently without being assembled into the device / apparatus / system. The above computer-readable storage medium carries one or more programs, and when the above one or more programs are executed, the method according to the embodiment of the present disclosure is implemented.

[0155] According to an embodiment of the present disclosure, a computer-readable storage medium may be a non-volatile computer-readable storage medium, for example, may include but is not limited to: 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), a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, an apparatus or a device. For example, according to an embodiment of the present disclosure, a computer-readable storage medium may include the ROM 902 and / or RAM 903 described above and / or one or more memories other than ROM 902 and RAM 903.

[0156] The embodiment of the present disclosure also includes a computer program product, which includes a computer program, and the computer program contains program code for executing the method shown in the flowchart. When the computer program product is run in a computer system, the program code is used to enable the computer system to implement the fluid-solid boundary iterative coupling hybrid test method provided by the embodiment of the present disclosure.

[0157] The above functions defined in the system / device of the embodiment of the present disclosure are performed when the computer program is executed by the processor 901. According to the embodiment of the present disclosure, the system, device, module, unit, etc. described above can be implemented by a computer program module.

[0158] In one embodiment, the computer program may be based on a tangible storage medium such as an optical storage device, a magnetic storage device, etc. In another embodiment, the computer program may also be transmitted and distributed in the form of a signal on a network medium, and downloaded and installed through the communication part 909, and / or installed from a removable medium 911. The program code contained in the computer program may be transmitted using any appropriate network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0159] In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 909, and / or installed from the removable medium 911. When the computer program is executed by the processor 901, the above functions defined in the system of the embodiment of the present disclosure are performed. According to the embodiment of the present disclosure, the system, device, means, module, unit, etc. described above can be implemented by a computer program module.

[0160] According to an embodiment of the present disclosure, the program code for executing the computer program provided by the embodiment of the present disclosure can be written in any combination of one or more programming languages. Specifically, these computing programs can be implemented using high-level process and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages ​​include, but are not limited to, Java, C++, python, "C" language or similar programming languages. The program code can be executed entirely on the user computing device, partially on the user device, partially on the remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computing device (for example, using an Internet service provider to connect through the Internet).

[0161] The flow charts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each box in the flow chart or block diagram can represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of a code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flow chart, and the combination of the boxes in the block diagram or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0162] It will be appreciated by those skilled in the art that the features described in the various embodiments of the present disclosure may be combined and / or combined in a variety of ways, even if such combinations or combinations are not explicitly described in the present disclosure. In particular, without departing from the spirit and teachings of the present disclosure, the features described in the various embodiments of the present disclosure may be combined and / or combined in a variety of ways. All of these combinations and / or combinations fall within the scope of the present disclosure.

[0163] The embodiments of the present disclosure are described above. However, these embodiments are only for illustrative purposes and are not intended to limit the scope of the present disclosure. Although the embodiments are described above, this does not mean that the measures in the various embodiments cannot be used in combination to advantage. Without departing from the scope of the present disclosure, those skilled in the art may make a variety of substitutions and modifications, which should all fall within the scope of the present disclosure.

Claims

1. A fluid-solid boundary iterative coupling hybrid test method, characterized in that: The method comprises: Splitting the initial fluid-solid structure into a plurality of substructures, wherein the plurality of substructures include a physical substructure and a numerical substructure, the physical substructure corresponds to the fluid, the numerical substructure corresponds to the solid structure, and the boundary between the numerical substructure and the physical substructure corresponds to the boundary between the solid and the fluid; Based on the response error between the physical substructure and the numerical substructure, determining the influencing factor information of the test convergence index, wherein the response error represents the error between the input response information of the physical substructure and the output response information of the numerical substructure, and the influencing factor information includes an iterative algorithm and the substructure, and the iterative algorithm is used to correct the response error between the numerical substructure and the physical substructure to complete the fitting of the substructure boundary; In the case where the response error does not meet a preset error threshold, the input response information, the output response information and the substructure are updated based on the algorithm optimization strategy and the parameter update strategy of the iterative algorithm to obtain a target structure, wherein the target structure includes a target numerical substructure and a target physical substructure, the algorithm optimization strategy of the iterative algorithm is used to update the input response information and the output response information, and the parameter update strategy is used to update the substructure; and Based on the target numerical substructure, the target physical substructure and a preset response process, a dynamic water pressure time history and a target motion result are determined.

2. The method according to claim 1, characterized in that When the response error does not meet the preset error threshold, the input response information, the output response information and the substructure are updated based on an algorithm optimization strategy and a parameter update strategy of an iterative algorithm to obtain a target structure, including: When the response error does not meet a preset error threshold, the input response information and the output response information are updated based on the algorithm optimization strategy to obtain an updated response error; When the update response error does not satisfy the preset error threshold, the substructure is updated based on a parameter update strategy to obtain the target structure.

3. The method according to claim 1, characterized in that The method further comprises: constructing a target motion model of the initial fluid-solid structure under the action of external force; and The input response information and the output response information are determined based on the physical substructure, the numerical substructure, and the target motion model.

4. The method according to claim 2, characterized in that: The substructure is updated based on a parameter updating strategy to obtain the target structure, including: Constructing a reference structure corresponding to the initial fluid-solid structure, wherein the reference structure includes a reference numerical substructure and a reference physical substructure; and The physical substructure and the numerical substructure are updated based on the reference numerical substructure, the reference physical substructure and the parameter updating strategy to obtain the target structure.

5. The method according to claim 4, characterized in that The physical substructure and the numerical substructure are updated based on the reference numerical substructure, the reference physical substructure and the parameter update strategy to obtain the target structure, including: Based on the parameter updating strategy, the reference numerical substructure, and the reference physical substructure, the dynamic water pressure value is determined and the structure is identified to obtain an additional dynamic water unit; The additional water dynamic unit is combined with the numerical substructure as an updated target numerical substructure to obtain the target structure.

6. The method according to claim 4, characterized in that The measuring point corresponding to the reference physical substructure is the reference measuring point; Constructing a reference structure corresponding to the initial fluid-solid structure, comprising: The reference structure is obtained by taking the numerical substructure as the reference numerical substructure and taking the physical substructure corresponding to the reference measuring point as the reference physical substructure.

7. The method according to claim 2, characterized in that: The method further comprises: When the response error does not meet a preset error threshold, the input response information and the output response information are updated by using an intermediate iterative algorithm to obtain intermediate input response information and intermediate output response information; determining an intermediate response error between the intermediate input response information and the intermediate output response information; and When the intermediate response error satisfies the preset error threshold, the intermediate iterative algorithm is determined as the target iterative algorithm.

8. The method according to claim 1, characterized in that The number of measurement points corresponding to the target physical substructure is the number of target measurement points that meet the preset evaluation conditions; The method further comprises: In the case that the physical substructure and the numerical substructure do not satisfy the preset evaluation condition, the target number of measuring points is determined based on the additional dynamic water mass corresponding to the initial measuring point, the mass of the numerical substructure and the damping of the numerical substructure.

9. The method according to claim 3, characterized in that: Determining the input response information and the output response information based on the physical substructure, the numerical substructure, and the target motion model includes: constructing a target motion model based on the second motion model and the first motion model, wherein the first motion model represents a motion model corresponding to the physical substructure, and the second motion model represents a motion model corresponding to the numerical substructure; and The input response information and the output response information are determined based on the physical substructure, the numerical substructure and the target motion model.

10. The method according to claim 1, characterized in that The preset response process includes a first response process from the solid structure to the fluid via the boundary, and a second response process from the fluid to the solid structure via the boundary; Based on the target numerical substructure, the target physical substructure and the preset response process, determining the dynamic water pressure time history and the target motion result includes: determining the dynamic water pressure time history based on the first response process, the target input response information and the target physical substructure; as well as The target motion result is determined based on the dynamic water pressure time history, the second response process and the target numerical substructure.

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