CN116090303A - Risk assessment method, device and equipment for scouring state of offshore pile foundation - Google Patents
Risk assessment method, device and equipment for scouring state of offshore pile foundation Download PDFInfo
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- 238000012502 risk assessment Methods 0.000 title claims description 50
- 238000000034 method Methods 0.000 title claims description 48
- 238000011010 flushing procedure Methods 0.000 claims abstract description 134
- 238000011156 evaluation Methods 0.000 claims abstract description 42
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- 238000012544 monitoring process Methods 0.000 claims description 84
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Abstract
The invention relates to the technical field of offshore pile foundation flushing safety evaluation, in particular to a risk evaluation method, a risk evaluation device, a risk evaluation equipment and a risk evaluation storage medium for a flushing state of an offshore pile foundation.
Description
Technical Field
The invention relates to the technical field of offshore pile foundation flushing safety evaluation, in particular to a risk evaluation method, a risk evaluation device, risk evaluation equipment and a risk evaluation storage medium for a flushing state of an offshore pile foundation.
Background
The state of the foundation of the offshore pile determines the operational safety of the offshore structure. Pile foundation stability needs to comprehensively consider superposition influence of various complex loads such as geology, wind load, wave ocean current and the like. On one hand, the offshore pile foundation bears the reciprocating action of waves and water flow for a long time, high-speed vortex motion around the pile foundation is easy to occur, and huge water flow sand carrying force can carry away nearby sediment to form local scouring pits. On the other hand, the appearance of the offshore pile foundation is an elongated body, and along with the increase of the scouring depth, the flexible self-vibration frequency of the elongated body of the pile under the action of strong wind and strong current is close to the motion frequency of the peripheral ocean power, so that resonance is very likely to be formed, the structural safety is reduced, so that the foundation bed is separated in a large area, and the whole structure is overturned.
The scour status is one of the important parameters during offshore pile infrastructure and operation, which directly affects engineering operation and maintenance investment and engineering safety. The pile foundation flushing problem has complex mechanism, is influenced by a plurality of factors such as waves, currents, physical and mechanical properties of a substrate, pile foundation forms and the like, and how to quantitatively evaluate the flushing state of the pile foundation is a key difficulty in the field of ocean engineering.
Disclosure of Invention
Based on the above, the invention aims to provide a risk assessment method, a device, equipment and a storage medium for the flushing state of an offshore pile foundation, which are used for carrying out simulation calculation by utilizing a constructed fluid domain grid model through acquired real-time monitoring data and historical record data of the offshore pile foundation of a target fluid domain and carrying out risk assessment on the flushing state of the offshore pile foundation of the target fluid domain, thereby realizing effective monitoring on the flushing state of the offshore pile foundation.
In a first aspect, an embodiment of the present application provides a risk assessment method for a scour condition of an offshore pile foundation, including the following steps:
acquiring real-time monitoring data and historical record data of an offshore pile foundation of a target fluid region, wherein the real-time monitoring data comprise hydrological monitoring data and water depth monitoring data, and the historical record data comprise water depth historical record data and flushing amplitude historical record data;
Obtaining modeling range data of the target fluid domain, constructing a three-dimensional model of the target fluid domain according to the modeling range data and a preset local scouring model, meshing the three-dimensional model according to preset finite element mesh size constraint parameters, generating a fluid domain mesh model, and setting model configuration parameters of the fluid domain mesh model;
inputting the hydrologic monitoring data into the fluid domain grid model, and obtaining predicted scouring amplitude data of the offshore pile foundation of the target fluid domain according to the hydrologic monitoring data and model configuration parameters;
and acquiring accumulated scouring amplitude data according to the water depth historical record data and the water depth monitoring data, and acquiring a risk assessment result of the scouring state of the offshore pile foundation of the target fluid domain according to the accumulated scouring amplitude data, the predicted scouring amplitude data, the scouring amplitude historical record data and preset scouring safety parameters.
In a second aspect, an embodiment of the present application provides a risk assessment device for a scour condition of an offshore pile foundation, including:
the data acquisition module is used for acquiring real-time monitoring data and historical record data of an offshore pile foundation of a target fluid domain, wherein the real-time monitoring data comprise hydrological monitoring data and water depth monitoring data, and the historical record data comprise water depth historical record data and flushing amplitude historical record data;
The model generation module is used for acquiring modeling range data of the target fluid domain, constructing a three-dimensional model of the target fluid domain according to the modeling range data and a preset local scouring model, carrying out grid division on the three-dimensional model according to a preset finite element grid size constraint parameter, generating a fluid domain grid model, and setting model configuration parameters of the fluid domain grid model;
the data calculation module is used for inputting the hydrologic monitoring data into the fluid domain grid model and obtaining predicted scouring amplitude data of the offshore pile foundation of the target fluid domain according to the hydrologic monitoring data and model configuration parameters;
the risk assessment module is used for acquiring accumulated scouring amplitude data according to the water depth historical record data and the water depth monitoring data, and acquiring a risk assessment result of the scouring state of the offshore pile foundation of the target fluid domain according to the accumulated scouring amplitude data, the predicted scouring amplitude data, the scouring amplitude historical record data and the preset scouring safety parameters.
In a third aspect, embodiments of the present application provide a computer device, including: a processor, a memory, and a computer program stored on the memory and executable on the processor; the computer program when executed by the processor implements the steps of the risk assessment method of the maritime pile foundation flushing status as described in the first aspect.
In a fourth aspect, embodiments of the present application provide a storage medium storing a computer program which, when executed by a processor, implements the steps of the method for risk assessment of a maritime pile foundation flushing state according to the first aspect.
In the embodiment of the application, a risk assessment method, a device, equipment and a storage medium for a flushing state of an offshore pile foundation are provided, and through real-time monitoring data and historical record data of an offshore pile foundation of a target fluid domain, simulation calculation is performed by using a constructed fluid domain grid model, and risk assessment is performed on the flushing state of the offshore pile foundation of the target fluid domain, so that the flushing state of the offshore pile foundation is effectively monitored.
For a better understanding and implementation, the present invention is described in detail below with reference to the drawings.
Drawings
Fig. 1 is a flow chart of a risk assessment method for a scour condition of an offshore pile foundation according to a first embodiment of the present disclosure;
fig. 2 is a schematic flow chart of S3 in a risk assessment method for a scour condition of an offshore pile foundation according to a first embodiment of the present application;
fig. 3 is a schematic flow chart of S4 in a risk assessment method for a scour condition of an offshore pile foundation according to a first embodiment of the present application;
FIG. 4 is a flow chart of a risk assessment method for a scour condition of an offshore pile foundation according to a second embodiment of the present disclosure;
fig. 5 is a schematic flow chart of S5 in a risk assessment method for a scour condition of an offshore pile foundation according to a third embodiment of the present disclosure;
fig. 6 is a schematic structural diagram of a risk assessment device for a scour condition of an offshore pile foundation according to a fourth embodiment of the present disclosure;
fig. 7 is a schematic structural diagram of a computer device according to a fifth embodiment of the present application.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present application as detailed in the accompanying claims.
The terminology used in the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the present application. As used in this application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any or all possible combinations of one or more of the associated listed items.
It should be understood that although the terms first, second, third, etc. may be used herein to describe various information, these information should not be limited by these terms. These terms are only used to distinguish one type of information from another. For example, a first message may also be referred to as a second message, and similarly, a second message may also be referred to as a first message, without departing from the scope of the present application. The word "if"/"if" as used herein may be interpreted as "at … …" or "at … …" or "in response to a determination", depending on the context.
Referring to fig. 1, fig. 1 is a flow chart of a risk assessment method for a scour state of an offshore pile foundation according to a first embodiment of the present application, where the method includes the following steps:
s1: real-time monitoring data and historical record data of an offshore pile foundation of a target fluid region are obtained.
The main execution body of the risk assessment method for the scour state of the offshore pile foundation is an assessment device (hereinafter referred to as an assessment device) of the risk assessment method for the scour state of the offshore pile foundation, and in an alternative embodiment, the assessment device may be a computer device or a server, or a server cluster formed by combining multiple computer devices.
The real-time monitoring data comprises hydrologic monitoring data and water depth monitoring data, wherein the hydrologic monitoring data is hydrologic data of an offshore pile foundation, and in an alternative embodiment, the hydrologic monitoring data reflects characteristics of tide and wave monitored in a time period, such as ocean environment characteristics of maximum flow rate, maximum wave height and the like; the water depth monitoring data comprise water depth data of a plurality of sample points around the pile foundation, and reflect the water depth around the pile foundation.
The historical record data comprise water depth historical record data and flushing amplitude historical record data, wherein the water depth historical record data comprise water depth data of a plurality of sample points around a pile foundation in historical time; the flushing amplitude historical record data is annual average flushing amplitude.
In this embodiment, the evaluation device acquires real-time monitoring data of the offshore pile foundation at preset time intervals through preset flushing detection devices, such as a flow rate, a flow direction sensor and an ultrasonic sensor device, and stores the real-time monitoring data in a preset storage space. The evaluation device may obtain historical data of the offshore pile foundation of the target fluid field by manual introduction by a user.
In an alternative embodiment, the evaluation device may perform operations of adding, deleting, modifying, searching, etc. on the real-time monitoring data and the history data in the storage space.
S2: obtaining modeling range data of the target fluid domain, constructing a three-dimensional model of the target fluid domain according to the modeling range data and a preset local scouring model, meshing the three-dimensional model according to preset finite element mesh size constraint parameters, generating a fluid domain mesh model, and setting model configuration parameters of the fluid domain mesh model.
In this embodiment, the evaluation device obtains modeling range data of the target fluid domain, where the modeling range data includes geometric dimension information and spatial position information of the target fluid domain, and geometric dimension information and spatial position information of the offshore pile foundation.
The evaluation equipment constructs a three-dimensional model of the target fluid domain according to the modeling range data and a preset local flushing model, performs grid division on the three-dimensional model according to a preset finite element grid size constraint parameter, generates a fluid domain grid model, and sets model configuration parameters of the fluid domain grid model, wherein the local flushing model comprises the following models: a pure flow action numerical model, a pure wave action numerical model, a wave flow combined action numerical model, a reciprocating flow action numerical model, and the like.
In an optional embodiment, the evaluation device may be selected according to characteristics of tide and wave in the hydrologic monitoring data in the real-time monitoring data, specifically, the evaluation device determines the dominant degree of the tide through the starting flow velocity of the seabed sediment, and if the dominant degree of the tide is high, a pure current acting numerical model is selected; judging the dominant degree of waves through critical starting water depth under the action of waves, and selecting a pure wave action numerical model if the dominant degree of waves is high; according to the judgment that the dominant degree of the tide and the wave power is high, selecting a wave current combined action numerical model; judging whether the current action numerical model is selected according to the monitored flow speed and flow direction joint distribution characteristics according to the judgment that the current dominant degree is high, and if the monitored flow speed is larger than the starting flow speed interval within a certain time, the flow direction of the current action numerical model shows obvious current characteristics, selecting the current action numerical model.
S3: and inputting the hydrologic monitoring data into the fluid domain grid model, and obtaining predicted scouring amplitude data of the offshore pile foundation of the target fluid domain according to the hydrologic monitoring data and model configuration parameters.
In this embodiment, the evaluation device inputs the hydrologic monitoring data to the fluid domain grid model, and obtains predicted scouring amplitude data of the offshore pile foundation of the target fluid domain according to the hydrologic monitoring data and the model configuration parameters, where the hydrologic monitoring data includes hydrologic monitoring data corresponding to normal working conditions and hydrologic monitoring data corresponding to extreme working conditions.
In an alternative embodiment, in order to improve the efficiency of acquiring the predicted flushing amplitude data, the evaluation device connects the fluid domain grid model with a server by presetting an MPI communication interface and a METIS function library, and invokes a corresponding algorithm for calculating the predicted flushing amplitude data from the server to perform parallelization calculation, thereby realizing high-performance calculation.
The model configuration parameters comprise material parameters, boundary type parameters and calculation configuration parameters; wherein the material parameters comprise sediment density, particle size, resting stop angle, dynamic repose angle and porosity; the boundary type parameters comprise boundary types of a fluid domain inlet, a fluid domain outlet, a top, a bottom, two sides and a pile foundation part, constraint types and a flushing identifier, wherein the flushing identifier is used for reflecting whether flushing is performed; the calculation configuration parameters comprise the core number required by whether the selected sand transportation model calls the cluster to perform parallel calculation and adopt the parallel. Referring to fig. 2, fig. 2 is a schematic flow chart of step S3 in the risk assessment method for the scour state of the foundation of the offshore pile according to the first embodiment of the present application, including steps S31 to S32, specifically as follows:
S31: and obtaining predicted scouring amplitude data of the offshore pile foundation of the target fluid domain according to the hydrologic monitoring data, the material parameters and a preset empirical formula.
The empirical formula may be a korean sea alae formula, a Wang Rukai formula, or the like, and in this embodiment, the evaluation device may extract, according to the hydrologic monitoring data, average values of wave heights and flow velocities included in a highest frequency interval in a wave or flow velocity interval classification corresponding to a normal working condition and an extreme working condition, and obtain, according to the material parameter and a preset empirical formula, predicted scouring amplitude data of an offshore pile foundation of the target fluid domain, where the predicted scouring amplitude data includes predicted scouring amplitude data corresponding to the normal working condition and predicted scouring amplitude data corresponding to the extreme working condition.
S32: or adopting a CFD finite element method, and carrying out scouring numerical simulation on the fluid domain grid model according to the hydrologic monitoring data, the material parameters, the boundary type parameters and the calculation configuration parameters to obtain vector field data of the offshore pile foundation of the target fluid domain and predicted scouring amplitude data.
In this embodiment, the evaluation device may use a CFD finite element method, and perform a scour numerical simulation on the fluid domain mesh model according to the hydrologic monitoring data, the material parameter, the boundary type parameter, and the calculation configuration parameter, to obtain vector field data of the offshore pile foundation of the target fluid domain and predicted scour amplitude data, where the vector field data includes flow field data, pressure field data, and displacement field data, and the predicted scour amplitude data includes predicted scour amplitude data corresponding to a normal working condition and predicted scour amplitude data corresponding to an extreme working condition.
Specifically, the evaluation device calculates the flow field of the fluid domain grid model by adopting a finite element method according to the hydrologic monitoring data, the material parameters, the boundary type parameters and the calculation configuration parameters to obtain flow field data of the offshore pile foundation of the target fluid domain, so as to display the flow field forms of different time periods around each offshore pile foundation.
And the evaluation equipment calculates the sand conveying rate of the offshore pile foundation of the target fluid domain according to the flow field data of the offshore pile foundation of the target fluid domain, and updates the bed surface change of the fluid domain grid model to obtain the pressure field data and the displacement field data of the offshore pile foundation of the target fluid domain.
S4: and acquiring accumulated scouring amplitude data according to the water depth historical record data and the water depth monitoring data, and acquiring a risk assessment result of the scouring state of the offshore pile foundation of the target fluid domain according to the accumulated scouring amplitude data, the predicted scouring amplitude data, the scouring amplitude historical record data and preset scouring safety parameters.
In this embodiment, the evaluation device obtains accumulated flushing amplitude data according to the water depth history data and the water depth monitoring data, specifically, the evaluation device subtracts the water depth monitoring data from the water depth history data to obtain accumulated flushing amplitude data, as follows:
ΔH＝H now -H last
Wherein delta H is the accumulated scouring amplitude data, H now For the water depth monitoring data, H last And recording data for the water depth history.
And the evaluation equipment obtains a risk evaluation result of the scouring state of the offshore pile foundation of the target fluid domain according to the accumulated scouring amplitude data, the predicted scouring amplitude data, the scouring amplitude historical record data and the preset scouring safety parameter.
Referring to fig. 3, fig. 3 is a schematic flow chart of step S4 in the risk assessment method for the scour condition of the offshore pile foundation according to the first embodiment of the present application, including steps S41 to S43, specifically as follows:
s41: and obtaining the possible maximum accumulated scouring amplitude data according to the accumulated scouring amplitude data, the predicted scouring amplitude data corresponding to the normal working condition and the predicted scouring amplitude data corresponding to the extreme working condition, and obtaining the risk level of the offshore pile foundation of the target fluid domain based on the scouring amplitude according to the possible maximum accumulated scouring amplitude and the scouring safety depth parameter.
In this embodiment, the evaluation device accumulates the accumulated scouring amplitude data with the predicted scouring amplitude data corresponding to the normal condition and the predicted scouring amplitude data corresponding to the extreme condition to obtain the possible maximum accumulated scouring amplitude data, as follows:
ΔH max ＝ΔH+Δh Prediction of normal +Δh Prediction, extreme
In the formula, deltaH max Δh for the maximum possible cumulative flush magnitude data Prediction of normal For the predicted scouring amplitude data corresponding to the normal working condition, delta h Prediction, extreme And predicting scouring amplitude data corresponding to the extreme working condition.
The evaluation device obtains a risk level of the offshore pile foundation of the target fluid field based on the flushing amplitude according to the possible maximum accumulated flushing amplitude and the flushing safety depth parameter, and in an optional embodiment, the flushing safety depth parameter comprises a first flushing safety depth parameter, a second flushing safety depth parameter and a third flushing safety depth parameter, wherein the first flushing safety depth parameter is set to 0 meter, and the second flushing safety depth parameter is set to 2 meters.
Specifically, when the possible maximum accumulated flushing amplitude is smaller than or equal to the first flushing safety depth parameter, the risk level based on the flushing amplitude of the offshore pile foundation of the target fluid domain is set to be one level, when the possible maximum accumulated flushing amplitude is larger than the first flushing safety depth parameter and smaller than or equal to the second flushing safety depth parameter, the risk level based on the flushing amplitude of the offshore pile foundation of the target fluid domain is set to be two levels, and when the possible maximum accumulated flushing amplitude is larger than the second flushing safety depth parameter and smaller than or equal to the third flushing safety depth parameter, the risk level based on the flushing amplitude of the offshore pile foundation of the target fluid domain is set to be three levels, and when the possible maximum accumulated flushing amplitude is larger than the third flushing safety depth parameter, the risk level based on the flushing amplitude of the offshore pile foundation of the target fluid domain is set to be four levels.
S42: and obtaining possible flushing time data according to the flushing amplitude historical record data, the predicted flushing amplitude data corresponding to the normal working condition and the predicted flushing amplitude data corresponding to the extreme working condition, and obtaining the risk level of the offshore pile foundation of the target fluid domain based on the flushing time according to the possible flushing time data and the flushing safety time parameter.
In this embodiment, the evaluation device obtains the possible flushing time data according to the flushing amplitude historical record data, the predicted flushing amplitude data corresponding to the normal working condition, and the predicted flushing amplitude data corresponding to the extreme working condition, as follows:
wherein T is Scouring of For the possible flush time data, Δh Scouring amplitude And historical record data for the flushing amplitude.
The evaluation device obtains a risk level of the offshore pile foundation of the target fluid field based on the flushing time according to the possible flushing time data and the flushing safety time parameter, and in an optional embodiment, the flushing safety time parameter comprises a first flushing safety time parameter, a second flushing safety time parameter and a third flushing safety time parameter, wherein the first flushing safety time parameter is set to 0.5 year, the second flushing safety time parameter is set to 1 year, and the third flushing safety time parameter is set to 2 years.
Specifically, when the possible flushing time data is smaller than or equal to the first flushing safety time parameter, the flushing amplitude-based risk level of the offshore pile foundation of the target fluid field is set to one level, when the possible flushing time data is larger than the first flushing safety time parameter and smaller than or equal to the second flushing safety time parameter, the flushing amplitude-based risk level of the offshore pile foundation of the target fluid field is set to two levels, when the possible flushing time data is larger than the second flushing safety time parameter and smaller than or equal to the third flushing safety time parameter, the flushing amplitude-based risk level of the offshore pile foundation of the target fluid field is set to three levels, and when the possible flushing time data is larger than the third flushing safety time parameter, the flushing amplitude-based risk level of the offshore pile foundation of the target fluid field is set to four levels.
S43: and obtaining the comprehensive risk level of the offshore pile foundation of the target fluid domain according to the risk level based on the flushing amplitude and the risk level based on the flushing time, and taking the comprehensive risk level as a risk evaluation result of the flushing state of the offshore pile foundation of the target fluid domain.
In this embodiment, the evaluation device obtains, as the risk evaluation result of the flushing state of the offshore pile foundation of the target fluid domain, the comprehensive risk level of the offshore pile foundation of the target fluid domain according to the risk level based on the flushing amplitude and the risk level based on the flushing time.
Specifically, when the risk level based on the flushing amplitude is four-level, and the risk level based on the flushing time is four-level or three-level, setting the comprehensive risk level of the offshore pile foundation of the target fluid domain as a safety level; and setting the comprehensive risk level of the offshore pile foundation of the target fluid domain as a low risk level when the risk level based on the flushing amplitude and the risk level based on the flushing time are both four-level and the risk level based on the flushing time is two-level or one-level.
Setting the comprehensive risk level of the offshore pile foundation of the target fluid domain to be a low risk level when the risk level based on the flushing amplitude is three-level and the risk level based on the flushing time is four-level; and setting the comprehensive risk level of the offshore pile foundation of the target fluid domain as a stroke risk level when the risk level based on the flushing amplitude is three-level and the risk level based on the flushing time is one-level, two-level or three-level.
Setting the comprehensive risk level of the offshore pile foundation of the target fluid domain as a stroke risk level when the risk level based on the flushing amplitude is two-level and the risk level based on the flushing time is four-level or three-level; and setting the comprehensive risk level of the offshore pile foundation of the target fluid domain to be a high risk level when the risk level based on the flushing amplitude is a second level and the risk level based on the flushing time is a second level or a first level.
Setting the comprehensive risk level of the offshore pile foundation of the target fluid domain as a stroke risk level when the risk level based on the flushing amplitude is one level and the risk level based on the flushing time is four levels; and setting the comprehensive risk level of the offshore pile foundation of the target fluid domain to be a high risk level when the risk level based on the flushing amplitude is three-level and the risk level based on the flushing time is one-level, two-level or three-level.
Referring to fig. 4, fig. 4 is a flow chart of a risk assessment method for a scour state of an offshore pile foundation according to a second embodiment of the present application, and further includes step S5, specifically as follows:
s5: and responding to a model display instruction, reading the fluid domain grid model, returning to a preset display interface, displaying the fluid domain grid model on the display interface, and displaying and marking relevant data of the offshore pile foundation of the target fluid domain through the fluid domain grid model, wherein the relevant data comprises real-time monitoring data, historical record data, vector field data and predicted scouring amplitude data.
The model display instruction is sent by a user and received by the evaluation equipment.
The evaluation device obtains a model display instruction sent by a user and responds to the model display instruction, and reads the fluid domain grid model, and in an optional embodiment, after the fluid domain grid model is read, the evaluation device splits the fluid domain grid model into triangular patches, removes internal entity unit information of the fluid domain grid model, and only keeps an external shell for display, so that the additional cost of a system is reduced, and the performance is improved.
The evaluation device loads the flushing state data into the fluid domain grid model, returns to a preset display interface, displays the fluid domain grid model on the display interface, displays and marks the flushing state data of the fluid domain grid model, and particularly, the evaluation device can display cloud pictures, vector pictures and streamline pictures of the loaded fluid domain grid model, so that the display and marking of relevant data of the fluid domain grid model are performed. The fluid domain grid models corresponding to different time periods and the related data of the offshore pile foundation of the target fluid domain can be displayed on the display interface in sequence according to the time steps which are preset, the model fluid domain grid models can be sliced, and the cloud images and other information on the sliced surfaces can be displayed;
Referring to fig. 5, fig. 5 is a schematic flow chart of step S5 in the risk assessment method for a scour condition of an offshore pile foundation according to the third embodiment of the present application, including steps S51 to S52, specifically as follows:
s51: and acquiring cell type information and grid position information input by a user.
The unit type information is the information display type of the fluid domain grid model and comprises point unit type information, surface unit type information and body unit type information; the grid location information is used to indicate a grid region on the fluid domain grid model.
S52: according to the unit type information, the fluid domain grid model is displayed according to the unit type information, and according to the grid position information, relevant data of the corresponding grid of the fluid domain grid model are displayed and marked on the corresponding grid of the fluid domain grid model.
In order to improve the display performance of the fluid domain grid model and improve the monitoring efficiency, in this embodiment, the evaluation device displays the fluid domain grid model according to the unit type information, and displays and marks relevant data of the corresponding grid of the fluid domain grid model on the corresponding grid of the fluid domain grid model according to the grid position information. Specifically, the evaluation device may graphically display the scouring amplitude data of the grid corresponding to the grid position information to display the relevant data of the grid corresponding to the grid position information
Referring to fig. 6, fig. 6 is a schematic structural diagram of a risk assessment device for a scour state of an offshore pile foundation according to a fourth embodiment of the present application, where the risk assessment device may implement all or a part of the risk assessment device for a scour state of an offshore pile foundation by software, hardware or a combination of both, and the device 6 includes:
the data acquisition module 61 is configured to acquire real-time monitoring data and historical record data of an offshore pile foundation of a target fluid domain, where the real-time monitoring data includes hydrological monitoring data and water depth monitoring data, and the historical record data includes water depth historical record data and flushing amplitude historical record data;
the model generating module 62 is configured to obtain modeling range data of the target fluid domain, construct a three-dimensional model of the target fluid domain according to the modeling range data and a preset local scour model, grid-divide the three-dimensional model according to a preset finite element grid size constraint parameter, generate a fluid domain grid model, and set a model configuration parameter of the fluid domain grid model;
the data calculation module 63 is configured to input the hydrologic monitoring data into the fluid domain grid model, and obtain predicted scouring amplitude data of the offshore pile foundation of the target fluid domain according to the hydrologic monitoring data and model configuration parameters;
The risk assessment module 64 is configured to obtain accumulated scouring amplitude data according to the water depth history data and the water depth monitoring data, and obtain a risk assessment result of the scouring state of the offshore pile foundation of the target fluid domain according to the accumulated scouring amplitude data, the predicted scouring amplitude data, the scouring amplitude history data and the preset scouring safety parameter.
In this embodiment, the data acquisition module is configured to acquire real-time monitoring data and historical record data of an offshore pile foundation of a target fluid domain, where the real-time monitoring data includes hydrological monitoring data and water depth monitoring data, and the historical record data includes water depth historical record data and flushing amplitude historical record data;
obtaining modeling range data of the target fluid domain through a model generation module, constructing a three-dimensional model of the target fluid domain according to the modeling range data and a preset local scouring model, carrying out grid division on the three-dimensional model according to a preset finite element grid size constraint parameter, generating a fluid domain grid model, and setting model configuration parameters of the fluid domain grid model; inputting the hydrologic monitoring data into the fluid domain grid model through a data calculation module, and obtaining predicted scouring amplitude data of the offshore pile foundation of the target fluid domain according to the hydrologic monitoring data and model configuration parameters; and acquiring accumulated scouring amplitude data according to the water depth historical record data and the water depth monitoring data through a risk assessment module, and acquiring a risk assessment result of the scouring state of the offshore pile foundation of the target fluid domain according to the accumulated scouring amplitude data, the predicted scouring amplitude data, the scouring amplitude historical record data and preset scouring safety parameters.
And performing simulation calculation by using the obtained real-time monitoring data and historical record data of the offshore pile foundation of the target fluid domain, and performing risk assessment on the scouring state of the offshore pile foundation of the target fluid domain by using the constructed fluid domain grid model, thereby realizing effective monitoring on the scouring state of the offshore pile foundation.
Referring to fig. 7, fig. 7 is a schematic structural diagram of a computer device according to a fifth embodiment of the present application, where the computer device 7 includes: a processor 71, a memory 72, and a computer program 73 stored on the memory 72 and executable on the processor 71; the computer device may store a plurality of instructions adapted to be loaded by the processor 71 and to execute the steps of the method according to the embodiment shown in fig. 1 to 5, and the specific execution process may be referred to in the specific description of the embodiment shown in fig. 1 to 5, which is not repeated here.
Wherein processor 71 may include one or more processing cores. The processor 71 performs various functions of the risk assessment device 6 of the maritime pile foundation flushing state and processes the data by running or executing instructions, programs, code sets or instruction sets stored in the memory 72 and invoking data in the memory 72 using various interfaces and various parts within the wired connection server, alternatively the processor 71 may be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), programmable logic array (Programble Logic Array, PLA). The processor 71 may integrate one or a combination of several of a central processing unit 71 (Central Processing Unit, CPU), an image processor 71 (Graphics Processing Unit, GPU), and a modem, etc. The CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing the content required to be displayed by the touch display screen; the modem is used to handle wireless communications. It will be appreciated that the modem may not be integrated into the processor 71 and may be implemented by a single chip.
The Memory 72 may include a random access Memory 72 (Random Access Memory, RAM) or a Read-Only Memory 72 (Read-Only Memory). Optionally, the memory 72 includes a non-transitory computer readable medium (non-transitory computer-readable storage medium). Memory 72 may be used to store instructions, programs, code sets, or instruction sets. The memory 72 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for at least one function (such as touch instructions, etc.), instructions for implementing the various method embodiments described above, etc.; the storage data area may store data or the like referred to in the above respective method embodiments. The memory 72 may optionally be at least one memory device located remotely from the aforementioned processor 71.
The embodiment of the present application further provides a storage medium, where the storage medium may store a plurality of instructions, where the instructions are suitable for being loaded by a processor and executed by the processor, and the specific execution process may refer to the specific description of the embodiment shown in fig. 1 to 5, and details are not repeated herein.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions. The functional units and modules in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working process of the units and modules in the above system may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other manners. For example, the apparatus/terminal device embodiments described above are merely illustrative, e.g., the division of the modules or units is merely a logical function division, and there may be additional divisions in actual implementation, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection via interfaces, devices or units, which may be in electrical, mechanical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated modules/units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the present invention may implement all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of each of the method embodiments described above. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc.
The present invention is not limited to the above-described embodiments, but, if various modifications or variations of the present invention are not departing from the spirit and scope of the present invention, the present invention is intended to include such modifications and variations as fall within the scope of the claims and the equivalents thereof.
Claims (10)
1. The risk assessment method for the scour state of the offshore pile foundation is characterized by comprising the following steps of:
acquiring real-time monitoring data and historical record data of an offshore pile foundation of a target fluid region, wherein the real-time monitoring data comprise hydrological monitoring data and water depth monitoring data, and the historical record data comprise water depth historical record data and flushing amplitude historical record data;
obtaining modeling range data of the target fluid domain, constructing a three-dimensional model of the target fluid domain according to the modeling range data and a preset local scouring model, meshing the three-dimensional model according to preset finite element mesh size constraint parameters, generating a fluid domain mesh model, and setting model configuration parameters of the fluid domain mesh model;
inputting the hydrologic monitoring data into the fluid domain grid model, and obtaining predicted scouring amplitude data of the offshore pile foundation of the target fluid domain according to the hydrologic monitoring data and model configuration parameters;
And acquiring accumulated scouring amplitude data according to the water depth historical record data and the water depth monitoring data, and acquiring a risk assessment result of the scouring state of the offshore pile foundation of the target fluid domain according to the accumulated scouring amplitude data, the predicted scouring amplitude data, the scouring amplitude historical record data and preset scouring safety parameters.
2. The risk assessment method for the scour condition of the foundation of an offshore pile according to claim 1, wherein: the modeling range data includes geometric information, spatial position information, and geometric information and spatial position information of the target fluid domain.
3. The risk assessment method for the scour condition of the foundation of an offshore pile according to claim 1, wherein: the hydrologic monitoring data comprise hydrologic monitoring data corresponding to normal working conditions and hydrologic monitoring data corresponding to extreme working conditions.
4. A method of risk assessment of a scour condition of an offshore pile foundation according to claim 3, wherein: the model configuration parameters comprise material parameters, boundary type parameters and calculation configuration parameters; wherein the material parameters comprise sediment density, particle size, resting stop angle, dynamic repose angle and porosity; the boundary type parameters comprise boundary types of a fluid domain inlet, a fluid domain outlet, a top, a bottom, two sides and a pile foundation part, constraint types and whether flushing is performed; the calculation configuration parameters comprise a sand transportation model selected, whether a cluster is called for parallel calculation and the number of cores required by parallel;
The method for obtaining the predicted scouring amplitude data of the offshore pile foundation of the target fluid domain according to the hydrologic monitoring data and the model configuration parameters comprises the following steps:
obtaining predicted scouring amplitude data of an offshore pile foundation of the target fluid domain according to the hydrologic monitoring data, the material parameters and a preset empirical formula, wherein the predicted scouring amplitude data comprises predicted scouring amplitude data corresponding to normal working conditions and predicted scouring amplitude data corresponding to extreme working conditions;
or adopting a CFD finite element method, and carrying out scouring numerical simulation on the fluid domain grid model according to the hydrologic monitoring data, the material parameters, the boundary type parameters and the calculation configuration parameters to obtain vector field data and predicted scouring amplitude data of an offshore pile foundation of the target fluid domain, wherein the vector field data comprises flow field data, pressure field data and displacement field data, and the predicted scouring amplitude data comprises predicted scouring amplitude data corresponding to normal working conditions and predicted scouring amplitude data corresponding to extreme working conditions.
5. The risk assessment method for the scour condition of the foundation of an offshore pile according to claim 4, wherein:
The flushing safety parameters comprise a flushing safety depth parameter and a flushing safety time parameter;
the risk assessment result of the scouring state of the offshore pile foundation of the target fluid domain is obtained according to the accumulated scouring amplitude data, the predicted scouring amplitude data, the scouring amplitude historical record data and the preset scouring safety parameters, and the risk assessment result comprises the following steps:
obtaining possible maximum accumulated scouring amplitude data according to the accumulated scouring amplitude data, predicted scouring amplitude data corresponding to a normal working condition and predicted scouring amplitude data corresponding to an extreme working condition, and obtaining a scouring amplitude-based risk level of an offshore pile foundation of the target fluid domain according to the possible maximum accumulated scouring amplitude and the scouring safety depth parameter;
obtaining possible flushing time data according to the flushing amplitude historical record data, the predicted flushing amplitude data corresponding to the normal working condition and the predicted flushing amplitude data corresponding to the extreme working condition, and obtaining a flushing time-based risk level of the offshore pile foundation of the target fluid domain according to the possible flushing time data and the flushing safety time parameter;
and obtaining the comprehensive risk level of the offshore pile foundation of the target fluid domain according to the risk level based on the flushing amplitude and the risk level based on the flushing time, and taking the comprehensive risk level as a risk evaluation result of the flushing state of the offshore pile foundation of the target fluid domain.
6. The method for risk assessment of a scour condition of an offshore pile foundation according to claim 5, further comprising the steps of:
and responding to a model display instruction, reading the fluid domain grid model, returning to a preset display interface, displaying the fluid domain grid model on the display interface, and displaying and marking relevant data of the offshore pile foundation of the target fluid domain through the fluid domain grid model, wherein the relevant data comprises real-time monitoring data, historical record data, vector field data and predicted scouring amplitude data.
7. The risk assessment method for a scout state of an offshore pile foundation according to claim 6, wherein the displaying and labeling of relevant data of the offshore pile foundation of the target fluid zone is performed by the fluid zone grid model, comprising the steps of:
obtaining unit type information and grid position information input by a user, wherein the unit type information is an information display type of the fluid domain grid model and comprises point unit type information, surface unit type information and body unit type information; the grid location information is used to indicate a grid region on the fluid domain grid model;
According to the unit type information, the fluid domain grid model is displayed according to the unit type information, and according to the grid position information, relevant data of the corresponding grid of the fluid domain grid model are displayed and marked on the corresponding grid of the fluid domain grid model.
8. An offshore pile foundation flushing safety assessment device, comprising:
the data acquisition module is used for acquiring real-time monitoring data and historical record data of an offshore pile foundation of a target fluid domain, wherein the real-time monitoring data comprise hydrological monitoring data and water depth monitoring data, and the historical record data comprise water depth historical record data and flushing amplitude historical record data;
the model generation module is used for acquiring modeling range data of the target fluid domain, constructing a three-dimensional model of the target fluid domain according to the modeling range data and a preset local scouring model, carrying out grid division on the three-dimensional model according to a preset finite element grid size constraint parameter, generating a fluid domain grid model, and setting model configuration parameters of the fluid domain grid model;
the data calculation module is used for inputting the hydrologic monitoring data into the fluid domain grid model and obtaining predicted scouring amplitude data of the offshore pile foundation of the target fluid domain according to the hydrologic monitoring data and model configuration parameters;
The risk assessment module is used for acquiring accumulated scouring amplitude data according to the water depth historical record data and the water depth monitoring data, and acquiring a risk assessment result of the scouring state of the offshore pile foundation of the target fluid domain according to the accumulated scouring amplitude data, the predicted scouring amplitude data, the scouring amplitude historical record data and the preset scouring safety parameters.
9. A computer device, comprising: a processor, a memory, and a computer program stored on the memory and executable on the processor; the computer program, when executed by the processor, implements the steps of the risk assessment method of an offshore pile foundation flushing status as defined in any one of claims 1 to 7.
10. A storage medium, characterized by: the storage medium stores a computer program which, when executed by a processor, implements the steps of the risk assessment method of the maritime pile foundation flush state of any one of claims 1 to 7.
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