CN112182747A - Simulation test system and method for ship wave drag performance analysis - Google Patents

Simulation test system and method for ship wave drag performance analysis Download PDF

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CN112182747A
CN112182747A CN202010981677.3A CN202010981677A CN112182747A CN 112182747 A CN112182747 A CN 112182747A CN 202010981677 A CN202010981677 A CN 202010981677A CN 112182747 A CN112182747 A CN 112182747A
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王晓原
夏媛媛
姜雨函
朱慎超
孙鑫
冯凯
孙懿飞
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Navigation Brilliance Qingdao Technology Co Ltd
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Abstract

The application belongs to the technical field of virtual simulation, and particularly relates to a simulation test system and method for analyzing wave drag performance of a ship. The system comprises: the model establishing unit is used for establishing a numerical wave pool model and establishing a ship model based on the main scale parameters of the target ship; the grid dividing unit is used for determining a calculation area and generating a discrete grid; the wave manufacturing unit is used for generating regular waves for a ship wave drag test according to preset wave load parameters; and the resistance increasing test unit is used for calculating the motion response and the wave resistance increasing of the target ship when the target ship sails at the preset sailing speed under the regular wave through CFD (computational fluid dynamics), and predicting the wave resistance increasing of the target ship under different wavelengths and different sailing speeds. The system reduces the test cost, shortens the test period and improves the efficiency of research and development work; compared with theoretical calculation, the system can consider the influence of fluid viscosity, has high reliability of experimental results and has reference value.

Description

Simulation test system and method for ship wave drag performance analysis
Technical Field
The application belongs to the technical field of virtual simulation, and particularly relates to a simulation test system and method for analyzing wave drag performance of a ship.
Background
Ships mostly sail in a wave environment, particularly ocean transportation ships encounter various sea conditions in the sailing process, and the sea wave environment becomes the most main external factor influencing the operation efficiency of the ships. Therefore, the sailing performance of the ship in waves can reflect the operation efficiency of the ship more truly, and the ship performance research is carried out aiming at the wave environment encountered in the actual operation process, so that the ship performance research method becomes an important technical way for improving the energy utilization efficiency of the ship and reducing the energy consumption of the ship, and has important significance for improving the ocean sailing safety of the ship.
The main research means for the increase of the ship resistance in the waves comprises model tests and theoretical calculation. The resistance of the ship in the short wave is increased, the test cost of the model test is high, the test period is long, the defects that the simulation of the short wave environment is limited by the wave making machine capability of a physical pool, the short wave has poor stability and the like exist, the attenuation and the dissipation in the pool are serious, so that the high-quality short wave is difficult to simulate in the pool, the influence of other factors is synthesized, and the uncertainty of the model test for increasing the ship resistance in the short wave is large. The theoretical calculation is a research method based on the potential flow theory, the influence of fluid viscosity cannot be considered, a plurality of assumptions exist, the reliability of a calculation result is poor, and the reference value is low; and when a ship sails in waves, obvious nonlinear phenomena such as wave breaking and rolling are usually accompanied, and the potential flow theory cannot research the nonlinear phenomena.
Disclosure of Invention
Technical problem to be solved
In view of the above disadvantages and shortcomings of the prior art, the present application provides a simulation test system and method for analyzing the wave drag performance of a ship.
(II) technical scheme
In order to achieve the purpose, the technical scheme is as follows:
in a first aspect, an embodiment of the present application provides a simulation test system for ship wave drag performance analysis, where the system includes:
the model establishing unit is used for establishing a numerical wave pool model and establishing a ship model based on the main scale parameters of the target ship;
the grid division unit is used for determining a calculation area based on the numerical wave pool model and the ship model, and carrying out grid division on the calculation area to generate discrete grids;
the wave manufacturing unit is used for generating regular waves for a ship wave drag test according to preset wave load parameters in the numerical wave pool model;
and the resistance increasing test unit is used for calculating the motion response and the wave resistance increasing of the target ship when the target ship sails at a preset navigational speed under the regular wave through CFD (computational fluid dynamics) based on the discrete grid under a preset test environment, and predicting the wave resistance increasing of the target ship under different wavelengths and different navigational speeds.
Optionally, the system further comprises:
and the report statistics unit is used for carrying out statistics and analysis on the ship wave drag test data and generating corresponding animation and/or graphs, wherein the ship wave drag test data comprise a main scale parameter, a wave load parameter, a preset test environment parameter, wave drag calculation result data and wave drag prediction result data, which are obtained when the test is finished, in the test process.
Optionally, the report statistic unit includes:
the static report module is used for generating a static report based on the ship wave drag test data;
the statistical analysis module is used for evaluating the wave resistance increasing performance of the target ship and evaluating the ship performance based on the ship wave resistance increasing test data;
the OLAP report module is used for generating a wave drag increase prediction result report based on the wave drag increase prediction result data;
and the visualization module is used for generating motion simulation animation of the target ship sailing in the regular wave based on the ship wave drag test data.
Optionally, the static report includes one or more of a wave total resistance-wavelength/ship length report, a wave drag-wavelength/ship length report, a wave total resistance-speed report, and a wave drag-speed report.
Optionally, the system further comprises a user interface unit and an event processing unit;
the user interface unit is used for providing a man-machine interaction interface for a user, receiving an operation instruction of the user and sending the operation instruction to the event processing unit;
and the event processing unit is used for transmitting the operation instruction to one or more of the model creating unit, the grid dividing unit, the wave manufacturing unit, the resistance-increasing test unit and the report counting unit through SOA service based on a preset rule in the rule engine.
In a second aspect, an embodiment of the present application provides a simulation test method for ship wave drag performance analysis, where the method includes:
s1, creating a numerical wave pool model, and establishing a ship model based on the main scale parameters of the target ship;
s2, determining a calculation region based on the numerical wave pool model and the ship model, and performing grid division on the calculation region to generate discrete grids;
s3, generating regular waves for the ship wave drag test according to preset wave load parameters in the numerical wave pool model;
and S4, under a preset test environment, calculating the motion response and the wave resistance increase of the target ship when the target ship sails at a preset navigational speed under the regular wave through CFD based on the discrete grid, and predicting the wave resistance increase of the target ship under different wavelengths and different navigational speeds.
Optionally, the meshing the calculation region in S2 to generate a discrete mesh includes:
generating a water surface and matching surface discrete grid conforming to a boundary element method based on the main scale parameters and the waterline information data;
performing hydrostatic calculation on the target ship to obtain a hydrostatic calculation result;
comparing the hydrostatic calculation result with preset parameters, and adjusting the numerical wave pool model, the ship model and the discrete grid of the water surface and the matching surface until the hydrostatic calculation result is the same as the preset parameters; and the finally obtained water surface and matching surface discrete grids are used as generated discrete grids; wherein the preset parameters include, but are not limited to: center of gravity position, center of buoyancy position, ship displacement volume, equivalent displacement volume, overturning moment, restoring moment.
Optionally, the wave loading parameters include one or more of wavelength, wave direction, wave seed number, start frequency, cut-off frequency, sense wave height, zero-crossing period.
Optionally, in S4, before calculating the motion response and the wave drag of the target ship when the target ship sails at the preset speed under the regular wave by CFD, the method further includes:
calculating critical damping during rigid body rolling motion:
Figure BDA0002687751450000041
wherein, IxxFor roll-direction inertial mass,. DELTA.IxxTo add inertial mass, KRollRoll stiffness;
calculating roll viscous damping correction:
Dc=8%Dcritical
and taking the calculated swing viscosity damping correction as a viscosity damping correction when the CFD calculates the wave resistance of the target ship.
Optionally, the test environment parameters for generating the preset test environment include: marine environmental parameters, ocean current load parameters;
the marine environment parameters comprise one or more of a wind spectrum type, a wind speed, a wind direction and a wind speed reference height.
The ocean current load parameters comprise one or more of flow speed, flow direction and flow speed reference depth.
(III) advantageous effects
The beneficial effect of this application is: the application provides a simulation test system and a simulation test method for ship wave drag performance analysis, which are used for calculating motion response and wave drag of a target ship when the target ship sails at a preset sailing speed under a regular wave through CFD (computational fluid dynamics), and predicting the wave drag of the target ship under different wavelengths and different sailing speeds. Compared with the traditional model test system, the system greatly reduces the test cost, shortens the test period and improves the efficiency of research and development work; compared with theoretical calculation, the system can consider the influence of fluid viscosity, does not have a plurality of assumptions, has high reliability of experimental results and has reference value; and nonlinear phenomena such as wave breaking and rolling generated by the ship in wave navigation can be researched.
Drawings
The application is described with the aid of the following figures:
fig. 1 is a schematic diagram of a simulation test system architecture for ship wave drag performance analysis in a first embodiment of the present application;
FIG. 2 is a schematic diagram of a simulation test system for analyzing wave drag performance of a ship according to a second embodiment of the present application;
FIG. 3 is a schematic diagram illustrating a data processing flow of a report statistics layer according to a second embodiment of the present application;
FIG. 4a is an illustration of a total wave resistance-wavelength/captain report representation generated by the report statistics layer in a second embodiment of the present application;
FIG. 4b is an illustration of a wave drag-wavelength/captain report representation generated by the report statistics layer in a second embodiment of the present application;
FIG. 4c is an illustration of a representation of the total wave drag-speed report generated by the report statistics layer in a second embodiment of the present application;
FIG. 4d is an illustration of a wave drag-flight speed report representation generated by the report statistics layer in the second embodiment of the present application;
FIG. 4e is an exemplary diagram of a report statistics layer generating a data-carrying wave-drag static report in the second embodiment of the present application;
fig. 5 is a schematic flow chart of a simulation test method for analyzing the wave drag performance of a ship in a third embodiment of the present application;
fig. 6 is a schematic flow chart of a simulation test method for ship wave drag performance analysis in a fourth embodiment of the present application.
Detailed Description
For the purpose of better explaining the present invention and to facilitate understanding, the present invention will be described in detail by way of specific embodiments with reference to the accompanying drawings. It is to be understood that the following specific examples are illustrative of the invention only and are not to be construed as limiting the invention. In addition, it should be noted that, in the case of no conflict, the embodiments and features in the embodiments in the present application may be combined with each other; for convenience of description, only portions related to the invention are shown in the drawings.
The application provides a simulation test system for ship wave drag performance analysis, which calculates motion response and wave drag of a target ship when the target ship sails at a preset sailing speed under a regular wave through CFD (computational fluid dynamics), and predicts the wave drag of the target ship under different wavelengths and different sailing speeds. Compared with the traditional model test system, the system greatly reduces the test cost, shortens the test period and improves the efficiency of research and development work; compared with theoretical calculation, the system can consider the influence of fluid viscosity, does not have a plurality of assumptions, and has higher reference value in experimental results; and nonlinear phenomena such as wave breaking and rolling generated by the ship in wave navigation can be researched. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
Example one
Fig. 1 shows a schematic diagram of a simulation test system architecture for ship wave drag performance analysis in a first embodiment of the present application. As shown, a simulation test system 100 for analyzing wave drag performance of a ship comprises:
the model creating unit 101 is used for creating a numerical wave pool model and building a ship model based on the main scale parameters of the target ship;
the grid division unit 102 is used for determining a calculation region based on the numerical wave pool model and the ship model, and performing grid division on the calculation region to generate discrete grids;
the wave manufacturing unit 103 is used for generating a regular wave for a ship wave drag test according to preset wave load parameters in the numerical wave pool model;
and the resistance increasing test unit 104 is used for calculating the motion response and the wave resistance increasing of the target ship when the target ship sails at a preset navigational speed under a regular wave through CFD (computational fluid dynamics) based on the discrete grid under a preset test environment, and predicting the wave resistance increasing of the target ship under different wavelengths and different navigational speeds.
The model creating unit 101 may be in communication connection with the meshing unit 102 and the wave manufacturing unit 103, respectively, and the resistance-increasing testing unit 104 may be in communication connection with the model creating unit 101, the meshing unit 102, and the wave manufacturing unit 103.
In a specific implementation process, the system may further include: report statistics unit, user interface unit and event processing unit.
And the report statistics unit is used for carrying out statistics and analysis on the ship wave drag test data and generating corresponding animation and/or graphs, wherein the ship wave drag test data comprise a main scale parameter, a wave load parameter, a preset test environment parameter, wave drag calculation result data and wave drag prediction result data which are obtained when the test is finished.
And the user interface unit is used for providing a man-machine interaction interface for a user, receiving an operation instruction of the user and sending the operation instruction to the event processing unit.
And the event processing unit is used for transmitting the operation instruction to one or more of the model creating unit, the grid dividing unit, the wave manufacturing unit, the resistance increasing test unit and the report counting unit through SOA service based on a preset rule in the rule engine.
Wherein, the report statistics unit may include:
the static report module is used for generating a static report based on the ship wave drag test data, wherein the static report comprises one or more of a wave total resistance-wavelength/ship length report, a wave drag-wavelength/ship length report, a wave total resistance-navigational speed report and a wave drag-navigational speed report;
the statistical analysis module is used for evaluating the wave resistance increasing performance of the target ship and evaluating the ship performance based on the ship wave resistance increasing test data;
the OLAP report module is used for generating a wave drag increase prediction result report based on the wave drag increase prediction result data;
and the visualization module is used for generating motion simulation animation of the target ship sailing in the regular wave based on the ship wave resistance-increasing test data.
The model creation unit 101, the meshing unit 102, the wave manufacturing unit 103, and the resistance increase test unit 104 in the present application may be generally provided in a terminal device or a server.
A computer system used to implement a terminal device or a server of the embodiments of the present application may include a Central Processing Unit (CPU) that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) or a program loaded from a storage section into a Random Access Memory (RAM). In the RAM, various programs and data necessary for system operation are also stored. The CPU, ROM, and RAM are connected to each other via a bus. An input/output (I/O) interface is also connected to the bus.
The following components are connected to the I/O interface: an input section including a keyboard, a mouse, and the like; an output section including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section including a hard disk and the like; and a communication section including a network interface card such as a LAN card, a modem, or the like. The communication section performs communication processing via a network such as the internet. The drive is also connected to the I/O interface as needed. A removable medium such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive as necessary, so that a computer program read out therefrom is mounted into the storage section as necessary.
Example two
Fig. 2 is a schematic diagram of a simulation test system architecture for ship wave drag performance analysis in a second embodiment of the present application, and as shown in fig. 2, the system in this embodiment is composed of seven parts, i.e., user management, event processing, test application, report statistics, data capture, data storage, and monitoring assistance.
The user management layer mainly realizes the functions of collecting, sorting, analyzing, transmitting and the like of user accounts and operation information of the login system. The specific function is realized by two modules of archive management and operation management.
The file management module can collect, arrange and transmit the new user registration information and the use habit to the user information base for storage, and can also read and analyze user data stored in the user information base when an old user logs in to recover the familiar operating environment of the user.
The operation management module has the functions of identifying and recording user operation instructions, logically analyzing instruction information, transmitting the instruction information to the event processing layer in a classified manner, feeding system decision information back to a user and the like.
The event processing layer consists of three modules, namely complex event processing, a rule engine and SOA service, manages the operation of other functional layers and is the central hub of the whole system. The complex event processing module has the logic analysis capability on complex conditions, can deconstruct complex problems into a plurality of information instructions with clear logic and simple structure according to rules formulated in a rule engine in advance, and transmits the instructions to each function module of a test application layer through SOA service.
The experimental application layer comprises each link functional module of wave drag increase experiment, includes: model creation, wave manufacturing, grid division and resistance increase test.
The model creating module is composed of modeling software and an interface. The module is provided with an interface of mainstream ship three-dimensional modeling software (such as ANSYS-Design Modler, Solidworks, Catia, NAPA, Maxsurf and the like), and a modeling tool can be selected according to the user's will; and the model database interface can call a common model and quickly modify the common model to obtain the experimental model.
The Wave making module consists of AQWA Wave and a software interface. The AQWA Wave software can provide regular waves with any wavelength for a ship Wave drag test, and the numerical simulation effect is good; the interface ensures the synchronous compatibility of the AQWA Wave and the pool system, so that a new user can smoothly use the AQWA Wave.
The resistance increasing test module consists of a Workbench hydro dynamic difference, a Workbench Response and a software interface. The HD can realize the change trend that the resistance is increased compared with still water due to the pitching and heaving motions when the ship is sailed by the top waves at different wavelengths and different sailing speeds, and the performance prediction is realized. HR can simulate the specific numerical value of resistance increased compared with still water due to pitching and heaving motions when the ship sails in the regular wave, and numerical prediction is achieved.
The report statistics layer has the functions of test data statistical analysis, result report display and the like. The part consists of three modules of visualization, statistical analysis, predictive analysis and static and OLAP report forms.
The visualization module is mainly used for realizing visualization of test parameters and visualization of test results, and particularly outputs a test target ship, a test environment and the test results in the form of animation.
The statistical analysis module is used for adding subjective comparative analysis on data results on the basis of a wave resistance increasing test, and can accurately obtain evaluation on the wave resistance increasing performance of a target ship and evaluation on the performance of ships with certain commonalities.
And a static and OLAP report module, namely report display of experimental data. The static report, namely the report processing software, is used for sorting the test results of wave drag performance analysis and statistical analysis, so that the results are more visual. The OLAP report is mainly used for sorting the prediction analysis result, and the accuracy and timeliness of the prediction result are guaranteed.
Fig. 3 is a schematic diagram of a report statistics layer data processing flow in a second embodiment of the present application, please refer to fig. 3, in this embodiment, the report statistics layer data processing flow includes the following steps:
step 1, receiving wave drag test data sent by a test application layer, and executing step 2;
step 2, arranging and generating a static report, transmitting the static report to a supply analysis module, and executing step 3;
step 3, receiving a data packet from the static report module, analyzing a wave resistance-increasing performance conclusion, carrying out data rationality evaluation, and executing step 4;
step 4, judging whether the data packet is reasonable, if so, executing step 5, otherwise, executing step 6;
step 5, uploading the data packet to a database, receiving the reading of an OLAP report module, and then executing step 6;
and 6, transmitting the data packet to a visualization module by an analysis module to generate a wave drag-increasing motion simulation animation.
The generated static report mainly comprises the following 4 characteristic reports: the wave total resistance-wavelength/hull length report (as shown in fig. 4 a), the wave drag-wavelength/hull length report (as shown in fig. 4 b), the wave total resistance-speed report (as shown in fig. 4 c), and the wave drag-speed report (as shown in fig. 4 d). In addition, a wave drag static report carrying data may also be generated (as shown in fig. 4 e).
The different curves in fig. 4c and 4d represent the total wave drag-speed curve and the wave drag-speed curve for different wave length/ship length ratios.
The data capture layer has a data capture function, can capture structured, semi-structured and unstructured data transmitted among all levels, converts the data into main data which can be shared among systems through a certain intermediate process, realizes matching and merging of the data according to metadata and indexes, transmits the processed data to the data storage layer, and realizes planning and storage of the data.
And the data storage layer receives the classified data transmitted from the data acquisition layer and stores the classified data into different databases according to the types of the classified data.
The database includes: the system comprises a user information base, a wave resistance-increasing model base, a wave resistance-increasing parameter base, a wave resistance-increasing result base and a historical record base.
And the monitoring auxiliary layer is mainly used for monitoring and managing data circulating in the system in real time and providing auxiliary decision opinions for the work of each module.
Compared with a traditional model test system, the simulation test system for the ship wave drag performance analysis greatly reduces the test cost, shortens the test period and improves the efficiency of research and development work; compared with theoretical calculation, the system can consider the influence of fluid viscosity, does not have a plurality of assumptions, has high reliability of experimental results and has reference value; and nonlinear phenomena such as wave breaking and rolling generated by the ship in wave navigation can be researched.
EXAMPLE III
The second aspect of the application provides a simulation test method for ship wave drag performance analysis, which can be implemented by the simulation test system for ship wave drag performance analysis. Fig. 5 is a schematic flow chart of a simulation test method for ship wave drag performance analysis in a third embodiment of the present application. As shown, the method includes:
s1, creating a numerical wave pool model, and establishing a ship model based on the main scale parameters of the target ship;
s2, determining a calculation region based on the numerical wave pool model and the ship model, and performing grid division on the calculation region to generate discrete grids;
s3, generating regular waves for a ship wave drag test according to preset wave load parameters in the numerical wave pool model;
and S4, calculating the motion response and the wave drag increase of the target ship when the target ship sails at a preset sailing speed under regular waves through CFD (computational fluid dynamics) based on discrete grids under a preset test environment, and predicting the wave drag increase of the target ship under different wavelengths and different sailing speeds.
In a specific implementation process, the meshing the calculation region in S2 to generate a discrete mesh may include:
s21, generating a water surface and matching surface discrete grid conforming to the boundary element method based on the main scale parameters and the waterline information data;
s22, performing hydrostatic calculation of the target ship to obtain a hydrostatic calculation result;
s23, comparing the hydrostatic calculation result with preset parameters, and adjusting the numerical wave pool model, the ship model and the discrete grid of the water surface and the matching surface until the hydrostatic calculation result is the same as the preset parameters; and taking the finally obtained water surface and matching surface discrete grids as generated discrete grids.
In this embodiment, the wave loading parameters may include one or more of wavelength, wave direction, wave seed number, start frequency, cut-off frequency, sense wave height, zero-crossing period. The preset parameters include, but are not limited to: center of gravity position, center of buoyancy position, ship displacement volume, equivalent displacement volume, overturning moment, restoring moment.
In the specific implementation process, in S4, calculating, by CFD, a motion response and a wave drag before the target ship sails at a preset sailing speed under a regular wave, further includes:
s401, calculating critical damping during rigid body rolling motion:
Figure BDA0002687751450000131
wherein, IxxFor roll-direction inertial mass,. DELTA.IxxTo add inertial mass, KRollRoll stiffness;
s402, calculating a rolling viscous damping correction quantity:
Dc=8%Dcritical
and S403, taking the calculated swing viscosity damping correction as a viscosity damping correction when the wave drag of the target ship is increased by CFD.
In this embodiment, in S4, the predicting the wave drag increase of the target ship at different wavelengths and different speeds includes:
s41, calculating the relation between wave drag and wave frequency when the target ship sails at different sailing speeds through CFD;
s42, calculating the wave resistance increasing changing with time under the preset test environment;
s43, judging the relevance of the CFD simulation data and the ship model test data;
and S44, if the data are correlated, forecasting future wave drag of the ship according to the CFD data simulation result.
In this embodiment, the resistance of the target ship under the regular wave load includes incident wave force, hydrostatic restoring force, radiation wave force, and diffraction wave force.
In this embodiment, the test environment parameters for generating the preset test environment include: marine environmental parameters, ocean current load parameters. The marine environment parameters comprise one or more of a wind spectrum type, a wind speed, a wind direction and a wind speed reference height. The ocean current load parameters comprise one or more of flow speed, flow direction and flow speed reference depth.
Example four
Fig. 6 is a schematic flow chart of a simulation test method for ship wave drag performance analysis in a fourth embodiment of the present application. As shown, the method includes:
s10, establishing a test model: and reading a model value file (comprising three-dimensional coordinates of model value points and characteristic profile points) of the test model, generating a profile curve, and covering to generate the model based on the profile curve. Model preprocessing is carried out: smoothing the model, repairing the surface defect generated by modeling, setting the model draught, performing water line surface cutting on the model, and assembling the divided model bodies into a whole.
S20, grid division: and extracting characteristic point information and waterline information (including head and tail column point space coordinates and waterline surface contour point coordinates). And automatically generating the water surface and matching surface discrete grids conforming to the boundary element method by combining the flow field matching boundary intelligent parameters and the waterline information. And (3) carrying out ship hydrostatic calculation: based on the discrete grid of the ship body, the hydrostatic parameters such as the displacement volume, the floating center, the inertia moment, the wet surface area and the like of the ship are calculated, the numerical calculation result is compared with the given parameters, and the model and the grid are adjusted until the hydrostatic parameters are the same as the given parameters.
S30, roll viscous damping correction calculation, and then the viscous damping correction amount is manually added to the test parameters.
The calculation method is as follows:
the critical damping during rigid body roll motion is:
Figure BDA0002687751450000141
wherein, IxxFor roll-direction inertial mass,. DELTA.IxxTo add inertial mass, KRollIs the roll direction stiffness.
Using critical damping of 8% as viscous damping correction DcThe numerical values are:
Dc=8%Dcritical
and S40, inputting ship motion parameters, calculating ship hydrodynamic force, and solving a Cartesian rectangular coordinate system data curve formed by the resistance suffered by the model and the wave transmission frequency.
Motion parameters, including: initial speed, initial position, initial pose angle, wave direction and wave frequency.
The model is subject to resistance, including: incident wave Force (Froude-Krylov Force), hydrostatic restoring Force (Drift Force), Radiation wave Force (Radiation Force), and Diffraction wave Force (Diffraction Force).
And S50, analyzing the wave drag increasing performance of the ship in sailing. Firstly, carrying out dimensionless processing on wave resistance data, then adopting weighted average processing on radiation force and diffraction force according to phase change, drawing a plurality of curves by using different navigational speeds (or Fr) and describing the relationship between model wave resistance increase and wave frequency at different navigational speeds in the same coordinate system.
And S60, inputting the marine environment parameters and the control parameters, and calculating the change condition of the wave resistance-increasing along with the time.
Marine environmental parameters including: wind load parameters (type of wind spectrum, wind speed, wind direction, wind speed reference height), wave load parameters (wave direction, wave seed number, start frequency, cut-off frequency, sense wave height, zero cycle crossing), ocean current load parameters (flow speed, flow direction, flow speed reference depth).
Control parameters, including: calculating the step number, the time step length and the time for starting to calculate.
And S70, judging the relevance between the CFD simulation data and the ship model test data, and if the data are relevant, forecasting the future wave drag of the ship according to the CFD data simulation result.
The method greatly reduces the test cost, shortens the test period and improves the efficiency of research and development work; the influence of fluid viscosity is considered in the test, so that a plurality of assumptions do not exist, the reliability of the experimental result is high, and the method has reference value; and nonlinear phenomena such as wave breaking and rolling generated by the ship in wave navigation can be researched.
It should be noted that in the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. The use of the terms first, second, third and the like are for convenience only and do not denote any order. These words are to be understood as part of the name of the component.
Furthermore, it should be noted that in the description of the present specification, the description of the term "one embodiment", "some embodiments", "examples", "specific examples" or "some examples", etc., means that a specific feature, structure, material or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, the claims should be construed to include preferred embodiments and all changes and modifications that fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit or scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention should also include such modifications and variations.

Claims (10)

1. A simulation test system for ship wave drag performance analysis is characterized by comprising:
the model establishing unit is used for establishing a numerical wave pool model and establishing a ship model based on the main scale parameters of the target ship;
the grid division unit is used for determining a calculation area based on the numerical wave pool model and the ship model, and carrying out grid division on the calculation area to generate discrete grids;
the wave manufacturing unit is used for generating regular waves for a ship wave drag test according to preset wave load parameters in the numerical wave pool model;
and the resistance increasing test unit is used for calculating the motion response and the wave resistance increasing of the target ship when the target ship sails at a preset navigational speed under the regular wave through CFD (computational fluid dynamics) based on the discrete grid under a preset test environment, and predicting the wave resistance increasing of the target ship under different wavelengths and different navigational speeds.
2. The simulation test system for vessel wave drag performance analysis according to claim 1, characterized in that the system further comprises:
and the report statistics unit is used for carrying out statistics and analysis on the ship wave drag test data and generating corresponding animation and/or graphs, wherein the ship wave drag test data comprise a main scale parameter, a wave load parameter, a preset test environment parameter, wave drag calculation result data and wave drag prediction result data, which are obtained when the test is finished, in the test process.
3. The simulation test system for ship wave drag performance analysis according to claim 2, wherein the report statistic unit comprises:
the static report module is used for generating a static report based on the ship wave drag test data;
the statistical analysis module is used for evaluating the wave resistance increasing performance of the target ship and evaluating the ship performance based on the ship wave resistance increasing test data;
the OLAP report module is used for generating a wave drag increase prediction result report based on the wave drag increase prediction result data;
and the visualization module is used for generating motion simulation animation of the target ship sailing in the regular wave based on the ship wave drag test data.
4. The simulation test system for vessel wave drag performance analysis according to any of the claims 3, wherein the static reports comprise one or more of a wave total resistance-wavelength/hull length report, a wave drag-wavelength/hull length report, a wave total resistance-speed report, a wave drag-speed report.
5. The simulation test system for vessel wave drag performance analysis according to any of claims 1-4, characterized in that the system further comprises a user interface unit and an event processing unit;
the user interface unit is used for providing a man-machine interaction interface for a user, receiving an operation instruction of the user and sending the operation instruction to the event processing unit;
and the event processing unit is used for transmitting the operation instruction to one or more of the model creating unit, the grid dividing unit, the wave manufacturing unit, the resistance-increasing test unit and the report counting unit through SOA service based on a preset rule in the rule engine.
6. A simulation test method for ship wave drag performance analysis is characterized by comprising the following steps:
s1, creating a numerical wave pool model, and establishing a ship model based on the main scale parameters of the target ship;
s2, determining a calculation region based on the numerical wave pool model and the ship model, and performing grid division on the calculation region to generate discrete grids;
s3, generating regular waves for the ship wave drag test according to preset wave load parameters in the numerical wave pool model;
and S4, under a preset test environment, calculating the motion response and the wave resistance increase of the target ship when the target ship sails at a preset navigational speed under the regular wave through CFD based on the discrete grid, and predicting the wave resistance increase of the target ship under different wavelengths and different navigational speeds.
7. The simulation test method for the wave drag performance analysis of the ship according to claim 6, wherein the step of meshing the calculation region to generate the discrete mesh in S2 comprises:
generating a water surface and matching surface discrete grid conforming to a boundary element method based on the main scale parameters and the waterline information data;
performing hydrostatic calculation on the target ship to obtain a hydrostatic calculation result;
comparing the hydrostatic calculation result with preset parameters, and adjusting the numerical wave pool model, the ship model and the discrete grid of the water surface and the matching surface until the hydrostatic calculation result is the same as the preset parameters; and the finally obtained water surface and matching surface discrete grids are used as generated discrete grids; wherein the preset parameters include, but are not limited to: center of gravity position, center of buoyancy position, ship displacement volume, equivalent displacement volume, overturning moment, restoring moment.
8. The simulation test method for vessel wave drag performance analysis according to claim 6, wherein the wave load parameters comprise one or more of wavelength, wave direction, wave seed number, start frequency, cut-off frequency, sense wave height, zero crossing period.
9. The simulation test method for analyzing the wave drag performance of the ship according to claim 6, wherein in step S4, the calculating the motion response and the wave drag of the target ship when the target ship sails at a preset sailing speed under the regular wave by CFD further comprises:
calculating critical damping during rigid body rolling motion:
Figure FDA0002687751440000041
wherein, IxxFor roll-direction inertial mass,. DELTA.IxxTo add inertial mass, KRollRoll stiffness;
calculating roll viscous damping correction:
Dc=8%Dcritical
and taking the calculated swing viscosity damping correction as a viscosity damping correction when the CFD calculates the wave resistance of the target ship.
10. The simulation test method for vessel wave drag performance analysis according to any of claims 7-9, wherein the test environment parameters for generating the preset test environment comprise: marine environmental parameters, ocean current load parameters.
The marine environment parameters comprise one or more of a wind spectrum type, wind speed, wind direction and wind speed reference height;
the ocean current load parameters comprise one or more of flow speed, flow direction and flow speed reference depth.
CN202010981677.3A 2020-09-17 2020-09-17 Simulation test system and method for ship wave drag performance analysis Pending CN112182747A (en)

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