Single column mooring system axial bearing eccentric wear evaluation method

Abstract

This invention relates to the field of marine engineering equipment safety assessment technology, specifically to a method for assessing the axial bearing wear in a single-column mooring system. The method includes the following steps: constructing a global finite element model using Abaqus software to obtain the geometric parameters of the model structure; calculating the total wear depth of the bearing in different zones based on the geometric parameters of the model structure; calculating the sliding distance under actual working conditions based on the wave scattering diagram under specific operating conditions; and using the Archard wear model to establish a wear model based on the total wear depth and the sliding distance under actual working conditions, inputting the actual geometric parameters into the wear model to obtain the actual wear results. This invention, by dividing the bearing contact surface into stress zones and introducing an area ratio correction factor, can more accurately describe the wear depth under non-uniform stress conditions. Simultaneously, it constructs a calculation model between bearing wear and bolt impact failure, thereby completing the life assessment of bearing wear under eccentric wear in a single-column mooring system.

Description

Technical Field

[0001] This invention relates to the field of marine engineering equipment safety assessment technology, specifically to a method for assessing axial bearing wear in a single-column mooring system. Background Technology

[0002] With the continuous exploitation of oil and gas resources in offshore oil fields, monopilar mooring systems have been widely adopted due to their low cost, high efficiency, and reusability. As a key piece of equipment for fixing vessel positions and transporting oil and gas, the widespread use of monopilar mooring systems has also brought safety issues to the forefront. The wear problem of the hydraulic slip ring system bearings in monopilar mooring systems has become one of the main reasons for evaluating the lifespan and safety of these systems.

[0003] Currently, there is extensive research on the wear mechanism of liquid slip ring bearings both domestically and internationally. However, most wear models are based on the assumption of uniform bearing wear in the Archard model. In reality, single-column mooring systems are subjected to long-term environmental loads and traction during FPSO operations, causing eccentric wear in the liquid slip ring system, which in turn leads to excessive bearing wear.

[0004] Predictions based on uniform bearing wear are far from sufficient to describe the wear of fluid ring bearings under eccentric conditions. Eccentric wear further leads to tilting of the fluid ring system, thus exacerbating bearing wear and ultimately causing system failure. Therefore, a wear assessment method for fluid ring bearings based on eccentric loads is urgently needed to provide theoretical support for the safe operation of single-column mooring systems. Summary of the Invention

[0005] This invention aims to at least solve one of the technical problems existing in related technologies. To this end, this invention provides a method for assessing the wear of axial bearings in a single-column mooring system, enabling a more accurate description of the wear depth under non-uniform stress conditions, thereby completing the life assessment of bearings under uneven wear in a single-column mooring system.

[0006] This invention provides a method for evaluating the axial bearing wear in a single-column mooring system, comprising: S1: Use Abaqus software to construct the overall finite element model and obtain the geometric parameters of the model structure; S2: Calculate the total wear depth of the bearing by partitioning according to the geometric parameters of the model structure; S3: Calculate the actual sliding distance under the specific working conditions based on the wave scattering diagram under the specific working conditions; S4: Call the Archard wear model to build a wear model based on the total wear depth and the sliding distance under actual working conditions; S5: Input the actual bearing's geometric parameters into the wear model to obtain the actual wear results, and determine whether the bearing passes the safety estimate.

[0007] According to the present invention, a method for evaluating axial bearing wear in a single-column mooring system includes step S1: Using Abaqus software, the geometric model was constructed based on the structural parameters of the single-column mooring system test bench; Assign values ​​based on actual material parameters and perform mesh generation; By applying lateral thrust to simulate eccentric conditions and performing numerical simulations, the contact stress distribution characteristics of the bearing section are extracted, and the geometric parameters of the model structure are obtained.

[0008] According to the present invention, a method for evaluating axial bearing wear in a single-column mooring system is provided, step S2 includes: S21: Divide the contact stress distribution characteristics into multiple stress regions; S22: Calculate the wear amount for each stress area to obtain the total wear depth of the bearing.

[0009] According to the present invention, an axial bearing wear assessment method for a single-column mooring system is provided, wherein the formula for calculating the total wear depth of the bearing is as follows: in, For the first Wear coefficient of each stress zone For the first The average contact pressure in each stress zone For the first The slip distance corresponding to each stress zone For the first The area correction factor for each stress zone For the first The area of ​​each stress zone The total contact area, The number of stress regions is the number of regions to be divided. This is a correction factor.

[0010] According to the method for evaluating axial bearing wear in a single-column mooring system provided by the present invention, the formula for step S3 is as follows: in, This is the sliding distance under actual working conditions. It is the first The probability of certain sea conditions. The number of annual cycles caused by low-frequency motion. The number of annual cycles caused by high-frequency motion. The range of oscillation angles caused by low-frequency oscillation motion. The range of oscillation angles caused by high-frequency oscillation motion. This is the ordinal number for the sea state.

[0011] According to the present invention, the wear assessment method for axial bearings in a single-column mooring system is described in step S4, wherein the wear model is a finite element wear analysis model established by extracting the axial bearing region from the overall finite element model.

[0012] This invention also provides a system for assessing axial bearing wear in a single-column mooring system, comprising: Geometric parameter acquisition module: used to construct the overall finite element model using Abaqus software and obtain the geometric parameters of the model structure; Total wear depth calculation module: used to calculate the total wear depth of the bearing in sections based on the geometric parameters of the model structure; Sliding distance calculation module: used to calculate the sliding distance under actual working conditions based on the total wear depth; Wear Model Building Module: Used to call the Archard wear model to build a wear model based on the total wear depth and the sliding distance under actual working conditions; Actual prediction module: Input the actual bearing's geometric parameters into the wear model, obtain the actual wear results, and determine whether the bearing passes the safety estimate.

[0013] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps of the method for evaluating axial bearing wear in a single-column mooring system as described above.

[0014] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method for evaluating axial bearing wear in a single-column mooring system as described above.

[0015] The beneficial effects of the axial bearing wear assessment method for a single-column mooring system provided by the present invention include: (1) taking the key wear factor, eccentric load, as the main research object, making the constructed model more realistic; (2) dividing the bearing contact surface into stress regions and introducing an area ratio correction factor, which can more accurately describe the wear depth under non-uniform stress conditions; (3) considering the influence of low-frequency motion, high-frequency motion and tidal motion of FPSO on the sliding distance, making the assessment process more realistic; (4) realizing bidirectional coupling between stress data and wear model, reducing calculation while improving the accuracy and stability of wear prediction; (5) constructing a calculation model between bearing wear and bolt impact failure, thereby completing the life assessment of bearing wear under single-column mooring system.

[0016] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0018] Figure 1 This is a schematic flowchart of a method for evaluating axial bearing wear in a single-column mooring system provided by the present invention.

[0019] Figure 2 This is a wear assessment diagram of the axial bearing of a single-column mooring system according to one embodiment of the present invention.

[0020] Figure 3 This is a schematic diagram of the structure of an axial bearing wear assessment system for a single-column mooring system provided by the present invention.

[0021] Figure 4 This is a schematic diagram of the electronic device provided by the present invention.

[0022] Figure label: 101. Geometric parameter acquisition module; 102. Total wear depth calculation module; 103. Sliding distance calculation module; 104. Wear model establishment module; 105. Actual prediction module; 810. Processor; 820. Communication interface; 830. Memory; 840. Communication bus. Detailed Implementation

[0023] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention. The following embodiments are used to illustrate this invention but cannot be used to limit the scope of this invention.

[0024] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0025] The following is combined with Figures 1 to 4 This invention is described.

[0026] Example like Figure 1 As shown, Figure 1 This is a flowchart illustrating a method for assessing axial bearing wear in a single-column mooring system provided by the present invention, comprising the following steps: S1: Use Abaqus software to construct the overall finite element model and obtain the geometric parameters of the model structure; S2: Calculate the total wear depth of the bearing by partitioning according to the geometric parameters of the model structure; S3: Calculate the actual sliding distance under the specific working conditions based on the wave scattering diagram under the specific working conditions; S4: Call the Archard wear model to build a wear model based on the total wear depth and the sliding distance under actual working conditions; S5: Input the actual bearing's geometric parameters into the wear model to obtain the actual wear results, and determine whether the bearing passes the safety estimate.

[0027] Specifically, step S1 includes: Using Abaqus software, the geometric model was constructed based on the structural parameters of the single-column mooring system test bench; Assign values ​​based on actual material parameters and perform mesh generation; By applying lateral thrust to simulate eccentric conditions and performing numerical simulations, the contact stress distribution characteristics of the bearing section are extracted, and the geometric parameters of the model structure are obtained.

[0028] In this embodiment, a three-dimensional finite element model is constructed based on the geometric parameters of a certain single-column mooring system. The geometric parameters are shown in Table 1.

[0029] Table 1. Dimensional parameters of the experimental model The bearings and seals are made of polytetrafluoroethylene (PTFE) with an elastic modulus of 2.2 GPa and a Poisson's ratio of 0.4. The inner ring, outer ring, and column are made of stainless steel with an elastic modulus of 206 GPa and a Poisson's ratio of 0.3. A surface-to-surface contact type is selected, with a hard contact model for normal contact behavior and a penalty function method for tangential contact behavior. The friction coefficient is 0.2. The steel structure friction surface is defined as the primary friction surface, and the bearing friction surface is defined as the secondary friction surface. The model mesh uses C3D8R elements, with further detailed subdivision of the contact area. The element length is set to 5 mm.

[0030] The load setting adopts a step-by-step loading method. First, the structural self-weight is applied with a gravitational acceleration of 9.81 m / s². Then, a radial uniform load of 245 kN is applied at a reference point 500 mm from the top to simulate the stress state of the system under eccentric conditions. The maximum contact stress of the upper axial bearing is calculated to be 6.584 MPa, and the stress distribution data of the unit nodes are exported.

[0031] Specifically, step S2 includes: S21: Based on the contact stress distribution characteristics, multiple stress regions are divided. According to the Archard classical theoretical model, further analysis of the bearing contact pressure and slip distance in the actual process is required. This step simplifies the non-convergence problem in the calculation of eccentric wear by partitioning the nodal pressure. Multiple stress regions are divided based on the bearing surface contact stress data extracted from the geometric parameters in step S1. From a radial perspective, the wear in each region is independent, so the bearing is divided into three radial regions from the inside to the outside, further refined with a stress difference of 2 MPa, thereby achieving a partitioned description of wear behavior under different contact stress levels.

[0032] S22: Calculate the wear amount for each stress region to obtain the total wear depth of the bearing. The formula for calculating the total wear depth of the bearing is: in, For the first Wear coefficient of each stress zone For the first The average contact pressure in each stress zone For the first The slip distance corresponding to each stress zone For the first The area correction factor for each stress zone For the first The area of ​​each stress zone The total contact area, The number of stress regions is the number of regions to be divided. This is a correction factor.

[0033] In this example, the friction surface of the upper axial bearing is divided into zones according to the stress zone division principle. The zoning results are shown in Table 2.

[0034] Table 2 Upper Axial Bearing Contact Stress Zones Specifically, in step S3, the yaw motion of the single-pillar mooring system (FPSO) in the marine environment is decomposed into three parts: low-frequency drift motion, wave frequency motion, and tidal reciprocating motion; combined with the wave scattering diagram under specific operating conditions, the sea state probability weighting is obtained; based on the maximum angle value of the Rayleigh distribution, the sum of the annual slip distance of the FPSO under low-frequency motion, high-frequency motion, and tidal action is calculated.

[0035] To estimate the slip distance under actual experimental conditions, the statistical data of the sea conditions in a certain sea area are recorded in Table 3.

[0036] Table 3 Wave height probability distribution map The formula for step S3 is: in, This is the sliding distance under actual working conditions. It is the first The probability of certain sea conditions. The number of annual cycles caused by low-frequency motion. The number of annual cycles caused by high-frequency motion. The range of oscillation angles caused by low-frequency oscillation motion. The range of oscillation angles caused by high-frequency oscillation motion. This is the ordinal number for the sea state.

[0037] The range of the average deflection angle is given by the following formula: in, For the range of deflection angles, It is the standard deviation of the yaw angle amplitude. It is the gamma function. For ease of quantitative calculation in this embodiment, the standard deviation of the yaw motion response is used in the numerical calculation. Simplified fitting to wave height Linear correlation function: Used to simulate the driving force of wave energy on system motion, recommendation coefficient. Based on the sea state data in Table 3, the calculated slip distances under each sea state are shown in Table 4. Table 4. Distribution of bearing sliding distance under various sea conditions Table 4 shows that the total slip distance contributed by wave action alone over 10 years is approximately 183.2 km. Furthermore, considering the tidal effect on the system, the single-pillar mooring system experiences two large-angle yaws daily with the rising and falling tides. Calculations show that the additional slip distance generated by tidal action over the 10-year service life is approximately 12.2 km. In summary, the total slip distance of the axial bearing of this single-pillar mooring system over a 10-year period is 195.4 km, equivalent to 20,500 revolutions of the test bench.

[0038] Specifically, in step S4, a bearing wear model is constructed and the wear depth is calculated. The axial bearing portion is extracted from the single-column mooring system model, and a 1 / 5 bearing finite element model is constructed. Fixed constraints and rotational displacement of the upper steel structure are applied to the model, and the improved Archard wear model in Abaqus 2025 is called to quantitatively calculate the wear depth under different conditions.

[0039] To reduce computational load, the axial bearing region is extracted from the overall finite element model, and a 1 / 5 finite element wear analysis model is established. The local model retains the geometric features, material properties, and contact type of the overall model; full constraints are applied to the bottom of the bearing to limit displacement; in terms of load, contact stress is applied between the bearing and the upper steel structure, and rotational displacement is applied by establishing a coupling relationship through the upper steel structure via a reference point, driving the upper component to produce sliding behavior.

[0040] In this implementation, the contact relationship is defined using a general contact definition in Abaqus 2025 software, and a Coulomb friction model is set in the contact properties. The friction coefficient is selected based on the material pair and the actual lubrication state, with a value ranging from 0.05 to 0.15. Subsequently, the built-in Archard wear model of the software is enabled in the same contact properties, and the wear coefficient and material relative hardness parameters are input. The bearing material is PTFE, and the relative hardness is set to 30 MPa.

[0041] This invention, by setting a single representative load step and simulating multiple slip processes using a cyclic execution method, can obtain long-term wear response without repeatedly solving for contact convergence, significantly reducing computational costs. After analysis, the nodal wear depth distribution is extracted in the post-processing module, and the maximum wear value under different load conditions is obtained for evaluating bearing durability.

[0042] Based on the number of nodes in each zone, the area of ​​the region and the wear coefficient under different stress levels are determined, and the wear depth of different bearing stress regions in the bearing system is solved. During the calculation process, the wear depth and surface geometry are updated iteratively according to the contact pressure and sliding distance parameters of each zone, realizing the dynamic evolution of wear distribution under eccentric load. After the calculation is completed, the wear depth of the inner ring of the upper axial bearing is output as shown in Table 5.

[0043] Table 5. Stress Zoning Table for Inner Ring of Upper Axial Bearing The finite element analysis results show that the wear depth of the most severe wear area under eccentric wear of the upper bearing is 0.1164 mm, while the wear depth of the lower bearing is 0.0396 mm. Therefore, the fluid ring clearance caused by axial bearing wear is 0.156 mm.

[0044] Specifically, this example uses 18 M20 high-strength bolts, designed preload. Axial tensile force component at bearing under once-in-a-century sea conditions Based on VDI 223 and DNV-RP-C203 standards, empirical formulas are given for the load amplification factor model caused by bearing wear. for: in, The total wear of the axial bearing is given by: 0.1, the basic load transfer factor; 2.154, the impact weighting factor; 0.3, the reference failure wear based on past failure cases; and 1.65, the structural nonlinearity index. Based on the above amplification factors, two independent failure evaluation index formulas are established: Bolt impact failure index This serves as a system safety indicator under static strength conditions. Its calculation formula is: in, The cross-sectional area under bolt stress is... The yield strength of the bolt material is taken as 940 MPa in this example.

[0045] Bolt fatigue failure index As a safety indicator for lifespan depletion, its calculation formula is: in, The modified fatigue limit stress amplitude of the bolt in a marine environment is 92 MPa in this example.

[0046] The impact amplification factor in this example was calculated. Impact failure index Fatigue failure index .

[0047] Based on VDI 2230 and DNV-RP-C203 standards, combined with the impact failure index With fatigue failure index According to the wear depth The changes establish safety assessment standards, and the specific judgments are shown in Table 6: Table 6 Safety Assessment Criteria Judgment Table Based on the above safety assessment criteria, the 10-year wear bearing in this example passed the safety assessment.

[0048] By using finite element analysis in the wear model, the wear amounts in different regions are summed as a function of the number of wear cycles to obtain the total wear amount of the axial bearing. Figure 2 As shown in the figure, the number of cycles required to reach the failure wear depth can be determined to obtain the bearing service life. This figure can also be used as a system life evaluation standard.

[0049] like Figure 3 As shown, the following describes a system for assessing axial bearing wear in a single-column mooring system provided by this invention. The system described below can be referred to in conjunction with the method described above for assessing axial bearing wear in a single-column mooring system. It includes: Geometric parameter acquisition module 101: used to construct an overall finite element model using Abaqus software and obtain the geometric parameters of the model structure; Total wear depth calculation module 102: used to calculate the total wear depth of the bearing by partition according to the geometric parameters of the model structure; Sliding distance calculation module 103: used to calculate the sliding distance under actual working conditions based on the total wear depth; Wear Model Establishment Module 104: Used to call the Archard wear model to establish a wear model based on the total wear depth and the sliding distance under actual working conditions; Actual prediction module 105: Inputs the actual bearing's geometric parameters into the wear model, obtains the actual wear results, and determines whether the bearing passes the safety estimate.

[0050] Figure 4 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 4As shown, the electronic device may include: a processor 810, a communication interface 820, a memory 830, and a communication bus 840, wherein the processor 810, the communication interface 820, and the memory 830 communicate with each other via the communication bus 840. The processor 810 can call logical instructions in the memory 830 to execute a method for evaluating axial bearing wear in a single-column mooring system, the method including: S1: Use Abaqus software to construct the overall finite element model and obtain the geometric parameters of the model structure; S2: Calculate the total wear depth of the bearing by partitioning according to the geometric parameters of the model structure; S3: Calculate the actual sliding distance under the specific working conditions based on the wave scattering diagram under the specific working conditions; S4: Call the Archard wear model to build a wear model based on the total wear depth and the sliding distance under actual working conditions; S5: Input the actual bearing's geometric parameters into the wear model to obtain the actual wear results, and determine whether the bearing passes the safety estimate.

[0051] Furthermore, the logical instructions in the aforementioned memory 830 can be implemented as software functional units and, when sold or used as independent products, 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 described in 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.

[0052] On the other hand, the present invention also provides a computer program product, the computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions, wherein when the program instructions are executed by a computer, the computer is able to execute a method for evaluating axial bearing wear in a single-column mooring system provided by the methods described above, the method comprising: S1: Use Abaqus software to construct the overall finite element model and obtain the geometric parameters of the model structure; S2: Calculate the total wear depth of the bearing by partitioning according to the geometric parameters of the model structure; S3: Calculate the actual sliding distance under the specific working conditions based on the wave scattering diagram under the specific working conditions; S4: Call the Archard wear model to build a wear model based on the total wear depth and the sliding distance under actual working conditions; S5: Input the actual bearing's geometric parameters into the wear model to obtain the actual wear results, and determine whether the bearing passes the safety estimate.

[0053] In another aspect, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to perform the aforementioned method for evaluating axial bearing wear in a single-column mooring system, the method comprising: S1: Use Abaqus software to construct the overall finite element model and obtain the geometric parameters of the model structure; S2: Calculate the total wear depth of the bearing by partitioning according to the geometric parameters of the model structure; S3: Calculate the actual sliding distance under the specific working conditions based on the wave scattering diagram under the specific working conditions; S4: Call the Archard wear model to build a wear model based on the total wear depth and the sliding distance under actual working conditions; S5: Input the actual bearing's geometric parameters into the wear model to obtain the actual wear results, and determine whether the bearing passes the safety estimate.

[0054] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. 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.

[0055] 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., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0056] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

[0057] It should be noted that the embodiments of this disclosure can be implemented using hardware, software, or a combination of both. The hardware portion can be implemented using dedicated logic; the software portion can be stored in memory and executed by a suitable instruction execution system, such as a microprocessor or dedicated-design hardware. Those skilled in the art will understand that the above-described devices and methods can be implemented using computer-executable instructions and / or included in processor control code, for example, such code provided on a programmable memory or a data carrier such as an optical or electronic signal carrier.

[0058] Furthermore, although the operation of the methods of this disclosure is described in a specific order in the accompanying drawings, this does not require or imply that these operations must be performed in that specific order, or that all the operations shown must be performed to achieve the desired result. Rather, the steps depicted in the flowcharts may be performed in a different order. Additionally or alternatively, certain steps may be omitted, multiple steps may be combined into one step, and / or one step may be broken down into multiple steps. It should also be noted that the features and functions of two or more devices according to this disclosure may be embodied in one device. Conversely, the features and functions of one device described above may be further divided and embodied by multiple devices.

[0059] While this disclosure has been described with reference to several specific embodiments, it should be understood that this disclosure is not limited to the specific embodiments disclosed. This disclosure is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.

Claims

1. A method for evaluating axial bearing wear in a single-column mooring system, characterized in that, Includes the following steps: S1: Use Abaqus software to construct the overall finite element model and obtain the geometric parameters of the model structure; S2: Calculate the total wear depth of the bearing by partitioning according to the geometric parameters of the model structure; S3: Calculate the actual sliding distance under the specific working conditions based on the wave scattering diagram under the specific working conditions; S4: Call the Archard wear model to build a wear model based on the total wear depth and the sliding distance under actual working conditions; S5: Input the actual bearing's geometric parameters into the wear model to obtain the actual wear results, and determine whether the bearing passes the safety estimate.

2. The method for evaluating axial bearing wear in a single-column mooring system according to claim 1, characterized in that, Step S1 includes: Using Abaqus software, the geometric model was constructed based on the structural parameters of the single-column mooring system test bench; Assign values ​​based on actual material parameters and perform mesh generation; By applying lateral thrust to simulate eccentric conditions and performing numerical simulations, the contact stress distribution characteristics of the bearing section are extracted, and the geometric parameters of the model structure are obtained.

3. The method for evaluating axial bearing wear in a single-column mooring system according to claim 2, characterized in that, Step S2 includes: S21: Divide the contact stress distribution characteristics into multiple stress regions; S22: Calculate the wear amount for each stress area to obtain the total wear depth of the bearing.

4. The method for evaluating axial bearing wear in a single-column mooring system according to claim 3, characterized in that, The total wear depth of the bearing The calculation formula is: in, For the first Wear coefficient of each stress zone For the first The average contact pressure in each stress zone For the first The slip distance corresponding to each stress zone For the first The area correction factor for each stress zone For the first The area of ​​each stress zone The total contact area, The number of stress regions is the number of regions to be divided. For correction factor, This is the ordinal number of the stress zone.

5. The method for evaluating axial bearing wear in a single-column mooring system according to claim 1, characterized in that, The formula for step S3 is: in, This is the sliding distance under actual working conditions. It is the first The probability of certain sea conditions. The number of annual cycles caused by low-frequency motion. The number of annual cycles caused by high-frequency motion. The range of oscillation angles caused by low-frequency oscillation motion. The range of oscillation angles caused by high-frequency oscillation motion. This is the ordinal number for the sea state.

6. The method for evaluating axial bearing wear in a single-column mooring system according to claim 1, characterized in that, The wear model described in step S4 is a finite element wear analysis model established by extracting the axial bearing region from the overall finite element model.

7. A system for assessing axial bearing wear in a single-column mooring system, used to perform the method for assessing axial bearing wear in a single-column mooring system as described in any one of claims 1 to 6, characterized in that, include: Geometric parameter acquisition module: used to construct the overall finite element model using Abaqus software and obtain the geometric parameters of the model structure; Total wear depth calculation module: used to calculate the total wear depth of the bearing by partition based on the geometric parameters of the model structure; Sliding distance calculation module: used to calculate the sliding distance under actual working conditions based on the total wear depth; Wear Model Building Module: Used to call the Archard wear model to build a wear model based on the total wear depth and the sliding distance under actual working conditions; Actual prediction module: Input the actual bearing's geometric parameters into the wear model, obtain the actual wear results, and determine whether the bearing passes the safety estimate.

8. An electronic device comprising a processor, a communication interface, a memory, and a communication bus, characterized in that, When the processor executes the computer program, it implements the steps of the method for evaluating axial bearing wear in a single-column mooring system as described in any one of claims 1 to 6.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the method for evaluating axial bearing wear in a single-column mooring system as described in any one of claims 1 to 6.

10. A computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions, characterized in that, When the program instructions are executed by the computer, the computer is able to perform the steps of the method for evaluating axial bearing wear in a single-column mooring system as described in any one of claims 1 to 6.

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