Real-time evaluation method for hot spot stress response of floating platform structure based on wave and stress monitoring

Abstract

This invention discloses a real-time assessment method for hotspot stress response of floating platform structures based on wave and stress monitoring. The method includes: acquiring measured stress response spectra and wave monitoring parameters; determining optimal wave direction parameters based on the measured stress response spectra and a pre-established structural dynamic response database; matching the optimal wave direction parameters to obtain a first target stress response amplitude operator for a reference measuring point and a second target stress response amplitude operator for fatigue hotspots; performing wave spectrum inversion on the measured stress response spectra using the first target stress response amplitude operator; calculating statistical values ​​of the inverted wave spectrum; and eliminating inverted wave spectra with large errors based on the wave monitoring parameters of the target floating platform and the statistical values; and obtaining the target stress response spectrum of fatigue hotspots based on the second target stress response amplitude operator and the calibrated inverted wave spectrum. This invention can acquire the stress response spectrum of hotspots that are difficult to monitor directly in real time and can be used for the safety assessment of floating platform structures.

Description

Technical Field

[0001] This invention relates to the field of marine engineering technology, specifically to a real-time assessment method for hot spot stress response of floating platform structures based on wave and stress monitoring. Background Technology

[0002] Floating platform structures are prone to fatigue damage under long-term marine environmental loads, and fatigue failure is one of their main failure modes. Traditional fatigue assessment methods (such as spectral analysis and design wave methods) are mostly used in the design phase, with long calculation cycles and reliance on numerous assumptions and empirical formulas, making them difficult to apply to real-time monitoring and assessment of in-service platforms. Existing methods based on field monitoring mostly rely on direct measurement of wave parameters or local stress. The former is limited by sensor deployment and has high measurement uncertainty, while the latter is costly and difficult to implement due to the large number and concealed locations of fatigue hotspots.

[0003] Therefore, there is an urgent need for a method that can quickly and accurately identify actual sea state wave spectrum parameters based on limited monitoring data, and thereby assess fatigue damage of the entire platform structure in real time. Summary of the Invention

[0004] This invention provides a real-time assessment method for hot spot stress response of floating platform structures based on wave and stress monitoring, so as to effectively solve the above-mentioned problems.

[0005] In a first aspect, the present invention provides a real-time assessment method for the hot spot stress response of a floating platform structure based on wave and stress monitoring, the method comprising:

[0006] Stress time series data are acquired from multiple reference measurement points of the target floating platform, and the measured stress response spectrum is obtained based on the stress time series data; wave monitoring parameters are obtained from the wave measuring radar of the target floating platform.

[0007] Based on the measured stress response spectrum and the pre-established structural dynamic response database, the optimal wave direction parameters are determined. The structural dynamic response database includes stress response amplitude operators for reference measuring points and fatigue hot spots, as well as stress response conversion functions between reference measuring points.

[0008] Based on the optimal wave direction parameters, the first target stress response amplitude operator for the benchmark measuring point and the second target stress response amplitude operator for the fatigue hot spot are obtained by matching from the structural dynamic response database.

[0009] The measured stress response spectrum is inverted using the first target stress response amplitude operator to obtain the inverted wave spectrum;

[0010] Calculate the statistical values ​​of the inverted wave spectrum, and based on the wave monitoring parameters of the target floating platform and the statistical values, remove inverted wave spectra with large errors to obtain the calibrated inverted wave spectrum;

[0011] The target stress response spectrum of the fatigue hotspot is obtained based on the second target stress response amplitude operator and the calibration inversion wave spectrum.

[0012] In some embodiments of the present invention, determining the optimal wave direction parameters based on the measured stress response spectrum and a pre-established structural dynamic response database includes:

[0013] The number of reference measurement points is M;

[0014] Calculate the measured standard deviation of the measured stress response spectrum of the i-th (1≤i≤M) reference point; and obtain the stress response transformation function between other reference points and the i-th reference point under different wave direction parameters, wherein the other reference points are the reference points among the M reference points excluding the i-th reference point;

[0015] The stress response spectrum of the i-th reference measurement point is reconstructed using the stress response transformation function, and the reconstruction standard deviation of the reconstructed stress response spectrum is obtained.

[0016] Calculate the relative error between the measured standard deviation and the reconstructed standard deviation of the i-th benchmark measurement point under different wave direction parameters;

[0017] For each wave direction parameter, the relative error between the measured standard deviation and the reconstructed standard deviation of a total of M benchmark measurement points is obtained, and the total error under each wave direction parameter is obtained.

[0018] The total error under each wave direction parameter is compared, and the wave direction parameter with the smallest total error is taken as the optimal wave direction parameter.

[0019] In some embodiments of the present invention, the stress response amplitude operator includes the reference measurement point and each of the fatigue hot spots at different relative wave angles. The stress response amplitude operator combined with wave spread power n is respectively and , The angle between the elementary wave and the principal direction in an irregular wave system. For the frequency of wave encounter;

[0020] The step of using the first target stress response amplitude operator to perform wave spectrum inversion on the measured stress response spectrum to obtain the inverted wave spectrum includes:

[0021] According to the following formula, and using the first target stress response amplitude operator to perform wave spectrum inversion on the measured stress response spectrum, the inverted wave spectrum is obtained. :

[0022] ;

[0023] In the formula, Let be the directional distribution function of wave energy. .

[0024] In some embodiments of the present invention, each of the reference measurement points corresponds to one of the inverted wave spectra; after obtaining the inverted wave spectrum, the method further includes:

[0025] The wave monitoring parameters obtained by the wave measuring radar of the target floating platform are used as reference parameters, and the wave spectrum parameters of the inverted wave spectrum are used as parameters to be verified.

[0026] The parameters to be verified are verified using the reference parameters. Based on the verification results, inversion wave spectra with deviations meeting preset conditions are selected from the inversion wave spectra corresponding to multiple reference measurement points. The selected inversion wave spectra are then averaged to obtain the calibrated inversion wave spectrum. .

[0027] In some embodiments of the present invention, the wave spectrum parameters include effective wave height. and spectral peak period ;

[0028] The process of obtaining the wave spectrum parameters for each of the inverted wave spectra includes:

[0029] The inverted wave spectrum is obtained according to the following formula. effective wave height and spectral peak period :

[0030] ;

[0031] ;

[0032] ;

[0033] In the formula, yes The angular frequency at which the maximum value is reached.

[0034] In some embodiments of the present invention, obtaining the target stress response spectrum of the fatigue hotspot based on the second target stress response amplitude operator and the calibrated inverted wave spectrum includes:

[0035] According to the second target stress response amplitude operator and the calibration inversion wave spectrum The target stress response spectrum of the i-th fatigue hot spot is calculated using the following formula. :

[0036] ;

[0037] In the formula, It is based on the optimal wave spread power in the optimal wave direction parameters. It's confirmed.

[0038] In some embodiments of the present invention, the structural dynamic response database is obtained in the following manner:

[0039] A structural finite element model and a hydrodynamic model were established for the target floating platform, and multiple benchmark measuring points and fatigue hot spots were determined on the constructed model.

[0040] Numerical analysis of hydrodynamic and structural responses is used to obtain stress response amplitude operators for the benchmark measuring points and fatigue hotspots under different wave direction parameters, thereby obtaining the structural dynamic response database; wherein, the wave direction parameters include the relative wave direction angle between the main wave system and the ship and the wave spread power.

[0041] Secondly, the present invention also provides a real-time assessment device for hot spot stress response of a floating platform structure based on wave and stress monitoring, the device comprising:

[0042] The data acquisition module is used to acquire stress time series data from multiple reference measurement points of the target floating platform, and to acquire the measured stress response spectrum based on the stress time series data; and to obtain wave monitoring parameters from the wave measuring radar of the target floating platform.

[0043] The parameter determination module is used to determine the optimal wave direction parameters based on the measured stress response spectrum and the pre-established structural dynamic response database. The structural dynamic response database includes stress response amplitude operators for reference measuring points and fatigue hot spots, as well as stress response conversion functions between reference measuring points.

[0044] The operator matching module is used to match and obtain the first target stress response amplitude operator of the benchmark measuring point and the second target stress response amplitude operator of the fatigue hot spot from the structural dynamic response database based on the optimal wave direction parameters.

[0045] The wave spectrum calculation module is used to perform wave spectrum inversion on the measured stress response spectrum using the first target stress response amplitude operator to obtain the inverted wave spectrum.

[0046] The wave spectrum calibration module is used to calculate the statistical values ​​of the inverted wave spectrum, and to remove inverted wave spectra with large errors based on the wave monitoring parameters of the target floating platform to obtain the calibrated inverted wave spectrum.

[0047] The stress calculation module obtains the target stress response spectrum of the fatigue hotspot based on the second target stress response amplitude operator and the calibration inversion wave spectrum.

[0048] Thirdly, the present invention also provides an electronic device, including a memory and a processor; the memory stores a computer program, and the processor is used to run the computer program in the memory to perform the operations in the real-time evaluation method for hot spot stress response of floating platform structures based on wave and stress monitoring provided in the first aspect.

[0049] Fourthly, the present invention also provides a storage medium storing a plurality of instructions adapted for loading by a processor to execute the steps in the real-time evaluation method for hot spot stress response of a floating platform structure based on wave and stress monitoring provided in the first aspect.

[0050] In the real-time assessment method for hotspot stress response of floating platform structures based on wave and stress monitoring provided by this invention, the optimal wave direction parameters are determined according to the measured stress response spectrum and a pre-established structural dynamic response database. The structural dynamic response database includes stress response amplitude operators between the benchmark measuring point and the fatigue hotspot. Based on the optimal wave direction parameters, the target stress response amplitude operator for the fatigue hotspot is obtained by matching from the structural dynamic response database. The wave spectrum is inverted using the target stress response amplitude operator to obtain the inverted wave spectrum. Based on the target stress response amplitude operator and the inverted wave spectrum, the target stress response spectrum of the fatigue hotspot is obtained. This method enables the rapid and accurate deduction of the fatigue damage state of the entire platform from limited monitoring data, significantly improving assessment efficiency, reducing monitoring costs, and enabling real-time updates of damage assessment results under actual sea conditions. Furthermore, only a small number of overall stress sensors need to be deployed at key parts of the target floating platform (i.e., benchmark measuring points) to support the assessment of nearly a thousand fatigue hotspots, solving the problem of direct monitoring of dangerous and concealed areas, significantly reducing monitoring costs and improving assessment feasibility. Attached Figure Description

[0051] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0052] Figure 1This is one of the flowcharts of the real-time evaluation method for hot spot stress response of floating platform structure based on wave and stress monitoring provided in the embodiments of the present invention;

[0053] Figure 2 This is the second flowchart of the real-time evaluation method for hot spot stress response of floating platform structure based on wave and stress monitoring provided in the embodiments of the present invention.

[0054] Figure 3 This is a schematic diagram of the process for determining the optimal wave direction parameters provided in an embodiment of the present invention. Detailed Implementation

[0055] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0056] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more features. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0057] "A and / or B" includes the following three combinations: A only, B only, and a combination of A and B.

[0058] The use of "applies to" or "configured to" in this invention implies an open and inclusive language, which does not exclude the applicability to or configuration to devices performing additional tasks or steps. Additionally, the use of "based on" implies openness and inclusivity, because processes, steps, calculations, or other actions "based on" one or more conditions or values ​​may in practice be based on additional conditions or values ​​beyond those conditions.

[0059] In this invention, the term "exemplary" is used to mean "serving as an example, illustration, or description." Any embodiment described as "exemplary" in this invention is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is provided to enable any person skilled in the art to make and use the invention. Details are set forth in the following description for purposes of explanation. It should be understood that those skilled in the art will recognize that the invention can be made without using these specific details. In other instances, well-known structures and processes will not be described in detail to avoid obscuring the description of the invention with unnecessary detail. Therefore, the invention is not intended to be limited to the embodiments shown, but is consistent with the broadest scope of the principles and features disclosed herein.

[0060] The following describes, with reference to the accompanying drawings, a method for real-time evaluation of hotspot stress response of floating platform structures based on wave and stress monitoring, provided by an embodiment of the present invention.

[0061] like Figure 1 as well as Figure 2 As shown in the figure, this invention provides a real-time assessment method for hot spot stress response of a floating platform structure based on wave and stress monitoring. The method includes the following steps:

[0062] S101: Obtain stress time series data from multiple reference measurement points of the target floating platform, and obtain the measured stress response spectrum based on the stress time series data; and obtain wave monitoring parameters from the wave measuring radar of the target floating platform.

[0063] In some examples, sensors are set up at M benchmark measuring points to acquire stress time-series data at the benchmark points in real time. The continuously acquired stress time-series data is segmented, and spectral analysis (such as using the Welch method) is performed on the time history data within each data segment to obtain the measured stress response spectrum of each benchmark measuring point under different short-term sea states. .

[0064] S102, Based on the measured stress response spectrum and the pre-established structural dynamic response database, determine the optimal wave direction parameters. The structural dynamic response database includes stress response amplitude operators for reference measuring points and fatigue hot spots, as well as stress response conversion functions between reference measuring points.

[0065] S103, based on the optimal wave direction parameters, obtains the first target stress response amplitude operator for the benchmark measuring point and the second target stress response amplitude operator for the fatigue hot spot from the structural dynamic response database.

[0066] S104, the measured stress response spectrum is inverted using the first target stress response amplitude operator to obtain the inverted wave spectrum.

[0067] S105, calculate the statistical value of the inverted wave spectrum, and remove the inverted wave spectrum with large errors according to the wave monitoring parameters of the target floating platform to obtain the calibrated inverted wave spectrum.

[0068] S106, Based on the second target stress response amplitude operator and the calibration inversion wave spectrum, the target stress response spectrum of the fatigue hotspot is obtained.

[0069] The real-time assessment method for hotspot stress response of floating platform structures based on wave and stress monitoring provided in this invention utilizes a first stress response amplitude operator in the structural dynamic response database to perform wave spectrum inversion on the measured stress response spectrum, obtaining the inverted wave spectrum. Based on the target stress response amplitude operator and the inverted wave spectrum, the target stress response spectrum of the fatigue hotspot is obtained. This enables rapid and accurate deduction of the fatigue damage state of the entire platform from limited monitoring data, significantly improving assessment efficiency, reducing monitoring costs, and allowing for real-time updates of damage assessment results under actual sea conditions. Furthermore, only a small number of overall stress sensors need to be deployed at key locations (i.e., benchmark measuring points) of the target floating platform to support the assessment of nearly a thousand fatigue hotspots, solving the problem of direct monitoring of dangerous and concealed areas, significantly reducing monitoring costs and improving assessment feasibility.

[0070] In some embodiments of the present invention, the stress response amplitude operator includes a reference measurement point and each of the fatigue hot spots at different relative wave angles. The stress response amplitude operator combined with wave spread power n is respectively and , The angle between the elementary wave and the principal direction in an irregular wave system. This refers to the wave encounter frequency. It is understandable that the wave direction parameter includes the relative wave direction angle between the main wave system and the ship. And wave spread power n.

[0071] The step of using the target stress response amplitude operator to perform wave spectrum inversion on the measured stress response spectrum to obtain the inverted wave spectrum includes:

[0072] According to the following formula, and using the first target stress response amplitude operator to perform wave spectrum inversion on the measured stress response spectrum, the inverted wave spectrum is obtained. :

[0073] ;

[0074] In the formula, Let be the directional distribution function of wave energy. .

[0075] In some embodiments of the present invention, each of the reference measurement points corresponds to multiple inverted wave spectra; after obtaining the inverted wave spectra, the method further includes:

[0076] The wave monitoring parameters obtained by the wave measuring radar of the target floating platform are used as reference parameters, and the wave spectrum parameters of the inverted wave spectrum are used as parameters to be verified.

[0077] In some examples, the wave spectrum parameters include the significant wave height. and spectral peak period ;

[0078] The process of obtaining the wave spectrum parameters for each of the inverted wave spectra includes:

[0079] The inverted wave spectrum is obtained according to the following formula. effective wave height and spectral peak period :

[0080] ;

[0081] ;

[0082] ;

[0083] In the formula, yes The angular frequency at which the maximum value is reached.

[0084] The parameters to be verified are verified using the reference parameters. Based on the verification results, inversion wave spectra with deviations meeting preset conditions are selected from the inversion wave spectra corresponding to multiple reference measurement points. The selected inversion wave spectra are then averaged to obtain the calibrated inversion wave spectrum. .

[0085] Schematic, the error value between the parameter to be verified and the reference parameter is calculated. If the error value is greater than the threshold, the verification is deemed unsuccessful; if the error value is less than or equal to the threshold, the verification is deemed successful. The threshold can be set to 50%, 40%, etc., without limitation. The verified inversion wave spectra are used as candidate inversion wave spectra. The average value of each candidate inversion wave spectrum is calculated, and this average value is taken as the optimal inversion wave spectrum, which is the wave spectrum estimate that most closely approximates the actual sea conditions.

[0086] The step of obtaining the target stress response spectrum of the fatigue hotspot based on the second target stress response amplitude operator and the calibrated inverted wave spectrum includes:

[0087] According to the second target stress response amplitude operator and the calibration inversion wave spectrum The target stress response spectrum of the i-th fatigue hot spot is calculated using the following formula. :

[0088] ;

[0089] In the formula, It is based on the optimal wave spread power in the optimal wave direction parameters. It's confirmed.

[0090] The real-time evaluation method for hot spot stress response of floating platform structures based on wave and stress monitoring provided in this invention uses benchmark parameters to verify each parameter to be verified, avoiding the distorted wave spectrum that may be generated by pure mathematical inversion, ensuring the authenticity of the wave environment input to the fatigue assessment stage, thereby improving the accuracy of the final fatigue damage prediction.

[0091] In some embodiments of the present invention, such as Figure 3 As shown, determining the optimal wave direction parameters based on the measured stress response spectrum and the pre-established structural dynamic response database includes:

[0092] The number of reference measurement points is M;

[0093] Calculate the measured standard deviation of the measured stress response spectrum of the i-th (1≤i≤M) reference point; and obtain the stress response transformation function between other reference points and the i-th reference point under different wave direction parameters, wherein the other reference points are the reference points among the M reference points excluding the i-th reference point;

[0094] The stress response spectrum of the i-th reference measurement point is reconstructed using the stress response transformation function, and the reconstruction standard deviation of the reconstructed stress response spectrum is obtained.

[0095] Calculate the relative error between the measured standard deviation and the reconstructed standard deviation of the i-th benchmark measurement point under different wave direction parameters;

[0096] For each wave direction parameter, the relative error between the measured standard deviation and the reconstructed standard deviation of a total of M benchmark measurement points is obtained, and the total error under each wave direction parameter is obtained.

[0097] The total error under each wave direction parameter is compared, and the wave direction parameter with the smallest total error is taken as the optimal wave direction parameter.

[0098] Under the current wave direction parameters, obtain the measured standard deviation of the measured stress response spectrum of the j-th reference point; and obtain the stress response transformation functions of other reference points under different wave direction parameters from the stress response transformation function database. These other reference points are the reference points other than reference point i among the M reference points, such as reference points j-1, j+1, etc. Correspondingly, the reference points j+1 and i are compared under different wave direction parameters (…). The stress response transformation function under these conditions is: .

[0099] Understandably, the stress time-series data acquired by the sensor at each benchmark measurement point will be divided into Z time-history data segments, each time-history data segment corresponding to a measured stress response spectrum. This also corresponds to one variance. Measured standard deviation Based on all measured stress response spectra To obtain, that is, .

[0100] The stress response spectrum of the reference measurement point j is reconstructed using the stress response transformation function, and the reconstruction standard deviation of the reconstructed stress response spectrum is obtained.

[0101] It is understandable that, based on the aforementioned reference measuring point j+1 and reference measuring point i, the parameters in different wave directions ( Stress response transformation function under ) Furthermore, by utilizing the measured stress response spectrum of the reference measurement point j+1, the stress response spectrum of the reference measurement point i is reconstructed to obtain the reconstructed stress response spectrum of the reference measurement point j.

[0102] Similarly, rebuild standard deviation Based on all reconstructed stress response spectra To obtain, that is, .

[0103] Based on the measured standard deviation and the reconstructed standard deviation, the relative error between the benchmark point j and other benchmark points is obtained, and all relative errors are aggregated to obtain the total cost under the current wave direction parameters.

[0104] It is understandable that there is a relative error between the benchmark point j and other benchmark points. Under the current wave direction parameters, all relative errors are aggregated to obtain the total cost.

[0105] Among them, relative error Total cost Total cost can be measured under current wave parameters. The following method uses any one sensor to predict the overall performance of the other sensors.

[0106] Compare the total cost under each wave direction parameter, and take the wave direction parameter with the minimum total cost as the optimal wave direction parameter. ,Right now, Determining the optimal wave direction parameters Then, based on this optimal wave direction parameter And using the above target stress response transformation function The stress response spectrum after reconstruction was calculated.

[0107] It is understandable that the optimal wave direction parameters include the optimal wave spread power. and optimal relative wave angle After determining the optimal wave direction parameters, the first target stress response amplitude operator for the benchmark measurement point corresponding to the optimal wave direction parameters and the second target stress response amplitude operator for the fatigue hot spot can be determined.

[0108] In some embodiments of the present invention, the structural dynamic response database is constructed in the following manner:

[0109] A structural finite element model and a hydrodynamic model are established for the target floating platform, and multiple benchmark measurement points and fatigue hot spots are determined on the constructed model to obtain the structural dynamic response database.

[0110] To illustrate, M locations on the floating platform structure that are sensitive to the overall wave load and easy to place sensors are selected as reference measurement points, and N fatigue hot spots on the platform structure are selected as verification points.

[0111] The relative wave direction angle between the main wave system and the platform was calculated using hydrodynamic calculation software, taking into account the locations of the benchmark and verification points. and wave spread power The stress response amplitude operator RAO under different combinations is used to construct a RAO database at the reference measurement point and fatigue hot spot location.

[0112] For a linear system under stationary random sea states, the stress response spectrum at a fatigue point i on the structure is... It can be represented as:

[0113]

[0114] in, Let be the stress response spectrum at fatigue point i, corresponding to a certain stress component. For the frequency of wave encounters. The relative wave direction angle between the main wave system and the ship. The angle between the elementary wave and the principal direction in an irregular wave system. Let RAO (transfer function) be the stress at fatigue point i for the selected stress component. This refers to the unidirectional wave energy spectrum of the sea state, such as the JONSWAP or PM spectrum. The directional distribution function of wave energy is usually adopted. form.

[0115] This invention also provides a real-time evaluation device for hot spot stress response of floating platform structures based on wave and stress monitoring. The device includes a data acquisition module, a parameter determination module, an operator matching module, a wave spectrum calculation module, a wave spectrum calibration module, and a fatigue evaluation module.

[0116] The data acquisition module is used to acquire stress time series data from multiple reference measurement points of the target floating platform, and to acquire the measured stress response spectrum based on the stress time series data; and to obtain wave monitoring parameters from the wave measuring radar of the target floating platform.

[0117] The parameter determination module is used to determine the optimal wave direction parameters based on the measured stress response spectrum and the pre-established structural dynamic response database. The structural dynamic response database includes stress response amplitude operators for reference measuring points and fatigue hot spots, as well as stress response conversion functions between reference measuring points.

[0118] The operator matching module is used to match and obtain the first target stress response amplitude operator of the benchmark measuring point and the second target stress response amplitude operator of the fatigue hot spot from the structural dynamic response database based on the optimal wave direction parameters.

[0119] The wave spectrum calculation module is used to perform wave spectrum inversion on the measured stress response spectrum using the first target stress response amplitude operator to obtain the inverted wave spectrum.

[0120] The wave spectrum calibration module is used to calculate the statistical values ​​of the inverted wave spectrum, and to remove inverted wave spectra with large errors based on the wave monitoring parameters of the target floating platform to obtain the calibrated inverted wave spectrum.

[0121] The stress calculation module obtains the target stress response spectrum of the fatigue hotspot based on the second target stress response amplitude operator and the calibration inversion wave spectrum.

[0122] The real-time evaluation device for hot spot stress response of floating platform structure based on wave and stress monitoring provided in this embodiment of the invention corresponds to the real-time evaluation method for hot spot stress response of floating platform structure based on wave and stress monitoring provided in any of the above embodiments, and will not be described again here.

[0123] Based on any of the above embodiments, another embodiment of the present invention provides an electronic device, which may include: a processor, a communications interface, a memory, and a communication bus, wherein the processor, the communications interface, and the memory communicate with each other through the communication bus. The processor can call logical instructions in the memory to execute the above-described real-time evaluation method for hotspot stress response of floating platform structures based on wave and stress monitoring.

[0124] Furthermore, the logical instructions in the aforementioned memory can be implemented as software functional units and sold or used as independent products, and can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0125] On the other hand, embodiments of the present invention also provide a storage medium storing a plurality of instructions adapted for loading by a processor to execute the real-time evaluation method for hot spot stress response of floating platform structures based on wave and stress monitoring as provided in the above embodiments.

[0126] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0127] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of various embodiments or some parts of embodiments.

[0128] The above provides a detailed description of a real-time evaluation method for hotspot stress response of a floating platform structure based on wave and stress monitoring, as provided in the embodiments of the present invention. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A real-time assessment method for hotspot stress response of a floating platform structure based on wave and stress monitoring, characterized in that, The method includes: Stress time series data are acquired from multiple reference measurement points of the target floating platform, and the measured stress response spectrum is obtained based on the stress time series data; wave monitoring parameters are obtained from the wave measuring radar of the target floating platform. Based on the measured stress response spectrum and the pre-established structural dynamic response database, the optimal wave direction parameters are determined. The structural dynamic response database includes stress response amplitude operators for reference measuring points and fatigue hot spots, as well as stress response conversion functions between reference measuring points. Based on the optimal wave direction parameters, the first target stress response amplitude operator for the benchmark measuring point and the second target stress response amplitude operator for the fatigue hot spot are obtained by matching from the structural dynamic response database. The measured stress response spectrum is inverted using the first target stress response amplitude operator to obtain the inverted wave spectrum; Calculate the statistical values ​​of the inverted wave spectrum, and based on the wave monitoring parameters of the target floating platform and the statistical values, remove inverted wave spectra with large errors to obtain the calibrated inverted wave spectrum; The target stress response spectrum of the fatigue hotspot is obtained based on the second target stress response amplitude operator and the calibration inversion wave spectrum.

2. The method of claim 1, wherein the method further comprises: The step of determining the optimal wave direction parameters based on the measured stress response spectrum and the pre-established structural dynamic response database includes: The number of reference measurement points is M; Calculate the measured standard deviation of the measured stress response spectrum of the i-th (1≤i≤M) reference point; and obtain the stress response transformation function between other reference points and the i-th reference point under different wave direction parameters, wherein the other reference points are the reference points among the M reference points excluding the i-th reference point; The stress response spectrum of the i-th reference measurement point is reconstructed using the stress response transformation function, and the reconstruction standard deviation of the reconstructed stress response spectrum is obtained. Calculate the relative error between the measured standard deviation and the reconstructed standard deviation of the i-th benchmark measurement point under different wave direction parameters; For each wave direction parameter, the relative error between the measured standard deviation and the reconstructed standard deviation of a total of M benchmark measurement points is obtained, and the total error under each wave direction parameter is obtained. The total error under each wave direction parameter is compared, and the wave direction parameter with the smallest total error is taken as the optimal wave direction parameter.

3. The real-time evaluation method for hotspot stress response of floating platform structures based on wave and stress monitoring according to claim 1, characterized in that, The stress response amplitude operator includes the reference measurement points and each of the fatigue hot spots at different relative wave angles. The stress response amplitude operator combined with wave spread power n is respectively and , The angle between the elementary wave and the principal direction in an irregular wave system. For the frequency of wave encounter; The step of using the first target stress response amplitude operator to perform wave spectrum inversion on the measured stress response spectrum to obtain the inverted wave spectrum includes: According to the following formula, and using the first target stress response amplitude operator to perform wave spectrum inversion on the measured stress response spectrum, the inverted wave spectrum is obtained. : ； wherein is the directional distribution function of the wave energy, .

4. The real-time assessment method for hotspot stress response of floating platform structures based on wave and stress monitoring according to any one of claims 1 to 3, characterized in that, Each of the aforementioned benchmark measurement points corresponds to one of the aforementioned inverted wave spectra; After obtaining the inverted wave spectrum, the method further includes: The wave monitoring parameters obtained by the wave measuring radar of the target floating platform are used as reference parameters, and the wave spectrum parameters of the inverted wave spectrum are used as parameters to be verified. The parameters to be verified are verified using the reference parameters. Based on the verification results, inversion wave spectra with deviations meeting preset conditions are selected from the inversion wave spectra corresponding to multiple reference measurement points. The selected inversion wave spectra are then averaged to obtain the calibrated inversion wave spectrum. .

5. The method for real-time evaluation of hot spot stress response of a floating platform structure based on wave and stress monitoring according to claim 4, wherein, The wave spectrum parameters include an effective wave height and a spectral peak period ; The process of obtaining the wave spectrum parameters for each of the inverted wave spectra includes: The inverted wave spectrum is obtained according to the following formula. effective wave height and spectral peak period : ； ； ； In the formula, is The circular frequency at which the maximum is reached.

6. The real-time evaluation method for hotspot stress response of floating platform structures based on wave and stress monitoring according to claim 1 or 4, characterized in that, The step of obtaining the target stress response spectrum of the fatigue hotspot based on the second target stress response amplitude operator and the calibrated inverted wave spectrum includes: According to the second target stress response amplitude operator and the calibration inversion wave spectrum The target stress response spectrum of the i-th fatigue hot spot is calculated using the following formula. : ； In the formula, It is based on the optimal wave spread power in the optimal wave direction parameters. It's confirmed.

7. The real-time assessment method for hotspot stress response of a floating platform structure based on wave and stress monitoring according to any one of claims 1 to 6, characterized in that, The structural dynamic response database was obtained in the following manner: A structural finite element model and a hydrodynamic model were established for the target floating platform, and multiple benchmark measuring points and fatigue hot spots were determined on the constructed model. Numerical analysis of hydrodynamic and structural responses is used to obtain stress response amplitude operators for the benchmark measuring points and fatigue hotspots under different wave direction parameters, thereby obtaining the structural dynamic response database; wherein, the wave direction parameters include the relative wave direction angle between the main wave system and the ship and the wave spread power.

8. A real-time assessment device for hot spot stress response of a floating platform structure based on wave and stress monitoring, characterized in that, The device includes: The data acquisition module is used to acquire stress time series data from multiple reference measurement points of the target floating platform, and to acquire the measured stress response spectrum based on the stress time series data; and to obtain wave monitoring parameters from the wave measuring radar of the target floating platform. The parameter determination module is used to determine the optimal wave direction parameters based on the measured stress response spectrum and the pre-established structural dynamic response database. The structural dynamic response database includes stress response amplitude operators for reference measuring points and fatigue hot spots, as well as stress response conversion functions between reference measuring points. The operator matching module is used to match and obtain the first target stress response amplitude operator of the benchmark measuring point and the second target stress response amplitude operator of the fatigue hot spot from the structural dynamic response database based on the optimal wave direction parameters. The wave spectrum calculation module is used to perform wave spectrum inversion on the measured stress response spectrum using the first target stress response amplitude operator to obtain the inverted wave spectrum. The wave spectrum calibration module is used to calculate the statistical values ​​of the inverted wave spectrum, and to remove inverted wave spectra with large errors based on the wave monitoring parameters of the target floating platform to obtain the calibrated inverted wave spectrum. The stress calculation module obtains the target stress response spectrum of the fatigue hotspot based on the second target stress response amplitude operator and the calibration inversion wave spectrum.

9. An electronic device, characterized in that, It includes a memory and a processor; the memory stores a computer program, and the processor is used to run the computer program in the memory to perform the steps in the real-time evaluation method for hot spot stress response of a floating platform structure based on wave and stress monitoring as described in any one of claims 1 to 7.

10. A storage medium, characterized in that, The storage medium stores multiple instructions, which are adapted for loading by a processor to execute the steps in the real-time evaluation method for hot spot stress response of a floating platform structure based on wave and stress monitoring as described in any one of claims 1 to 7.

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