A method and system for simulating the scouring and silting of pile groups of high-pile wharfs

Abstract

The application discloses a kind of measurable high-pile wharf group pile scouring and silting simulation test method and system, belong to port engineering experimental equipment field, the system includes: tidal flow pool, for simulating the water flow environment of high-pile wharf;Sand adding system, for simulating sand adding process, sand adding to tidal flow pool;Control system, for controlling the test parameters of the tidal flow pool and sand adding system;Group pile model, for simulating the different inclination angles of actual high-pile wharf pile group;Measuring system, for recording flow velocity, inter-pile suspended sediment concentration data and measuring surface topography.The application effectively solves the problems of concentration control error, data asynchrony and insufficient topography measurement accuracy in the prior art, providing strong support for high-pile wharf design optimization and risk prevention and control.

Description

Technical Field

[0001] This invention belongs to the technical field of port engineering experimental equipment, and in particular relates to a method and system for simulating scouring and silting of high-pile wharf pile groups. Background Technology

[0002] High-pile wharves are crucial infrastructure in port engineering, and their scour and siltation status directly affects the wharf's stability and service life. Accurately simulating the scour and siltation patterns of high-pile wharves is of great significance for optimizing engineering design and formulating maintenance strategies. Currently, widely used scour and siltation experimental systems both domestically and internationally mainly simulate the interaction between water flow, sediment, and wharf structure through physical models. Their core technologies include sediment supply control, hydrodynamic parameter measurement, and topographic change detection. However, existing scour and siltation experimental systems suffer from several structural defects, leading to serious technical problems. First, sediment concentration is easily miscontrolled, mainly because the sediment feeding device lacks a real-time concentration feedback mechanism, relying on manual adjustment or preset programs, which cannot realistically simulate sediment transport patterns under natural conditions. Second, the asynchronous nature of multi-parameter data is significant, attributed to the use of separate control for the measurement equipment, lacking hardware synchronous triggering, resulting in misalignment between flow velocity and concentration data, reducing the reliability of experimental conclusions. Furthermore, the accuracy of topographic measurement is insufficient, mainly due to the excessively large diameter of the sounding probe, which fails to capture the small scour pits around the high piles, affecting engineering risk assessment. Finally, the unreasonable size of the flow velocity measurement probe affects the flow velocity, leading to distorted experimental data that fails to reflect real hydrodynamic conditions. These problems severely restrict the scientific nature and engineering guidance value of high-pile wharf scouring and silting research, and there is an urgent need for an innovative experimental system that integrates closed-loop control and high-precision scanning. Summary of the Invention

[0003] To address the aforementioned technical problems, this invention proposes a measurable simulation test method and system for scouring and silting of high-pile wharf pile groups, thereby resolving the issues present in the prior art.

[0004] To achieve the above objectives, the present invention provides a measurable simulation test method for scour and siltation of high-pile wharf pile groups, comprising:

[0005] Tidal pool, used to simulate the water flow environment of a high-pile dock;

[0006] The sand-addition system is used to simulate the sand-addition process by adding sand to the tidal pool;

[0007] A control system for controlling the test parameters of the tidal pool and sand supply system;

[0008] The pile group model is used to simulate the actual pile group of a high-pile wharf and the pile group of a high-pile wharf at different inclination angles.

[0009] The measurement system is used to record flow velocity, suspended sediment concentration between piles, and topography of the measurement surface.

[0010] Optionally, the sand-addition system is arranged at the inlet of the test area of ​​the tidal pool;

[0011] The sand-adding system includes: a stirring component, a turbidimeter, a sand-adding tank, a level gauge, an electric valve, a pipeline pump, and a water pump.

[0012] Optionally, the measurement system is arranged above the tidal pool, wherein the length of the measurement system is greater than or equal to the width of the tidal pool, and the measurement system is connected to the tidal pool via a three-dimensional positioning track;

[0013] The measurement system includes an acoustic Doppler current meter, a concentration measuring device, and a laser scanner.

[0014] Optionally, the control system includes: a flow meter, a frequency converter, and a control unit;

[0015] The flow meter is used to monitor the water flow rate in the flow generation system in real time.

[0016] The frequency converter is connected to the water pump, and the frequency converter is used to adjust the speed of the water pump to control the water flow rate.

[0017] The control unit is used to employ a PID control algorithm to adjust the frequency of the frequency converter in real time based on the flow deviation detected by the flow meter, so as to achieve stable control of the target flow rate, and to optimize the flow regulation strategy by measuring the flow velocity data and suspended sediment concentration data fed back by the measurement system.

[0018] The present invention also provides a measurable high-pile wharf pile scour and siltation simulation test method for implementing a measurable high-pile wharf pile scour and siltation simulation test system, the method comprising the following steps:

[0019] Set the target flow rate and test parameters, and begin the flow generation test;

[0020] Flow rate is obtained through the flow meter of the control system;

[0021] Based on the aforementioned flow rate, a PID algorithm is used to achieve adaptive control of the flow-generating pump and the sand-addition system;

[0022] Based on the adaptive control of the aforementioned water pump and sand-addition system, the measurement system synchronously collects flow velocity data and suspended sand concentration data between piles through the movement of the three-dimensional positioning guide rail;

[0023] Once all measuring points have been completed, the flow generation is stopped and the water is allowed to settle. The laser scanner is then activated to collect terrain data and obtain terrain simulation results.

[0024] Optionally, before starting the test, the method also includes: adding water to the tidal pool and adjusting the flow pump based on the test requirements;

[0025] The water depth for filling is 0.8m.

[0026] Optionally, during the process of starting the laser scanner to collect terrain data, the probe of the laser scanner is 20-30cm away from the top of the pile.

[0027] Compared with the prior art, the present invention has the following advantages and technical effects:

[0028] The present invention relates to a high-pile wharf pile scour and siltation simulation test system and method. By integrating an advanced sand-addition system, a measurement system, and a PID-based control system, it achieves high-precision simulation and measurement of the scour and siltation process of high-pile wharves. The sand-addition system employs a closed-loop feedback mechanism, combined with a turbidity meter and a level gauge, improving the sediment concentration control accuracy to ±5%, significantly superior to traditional methods. In the measurement system, an acoustic Doppler current meter and a concentration measurement device simultaneously collect flow velocity and suspended sediment concentration data, working in conjunction with a three-dimensional positioning track to ensure the accuracy of data acquisition. After the experiment, a laser scanner performs a high-precision scan of the terrain, achieving a point cloud density of 500 points / cm². 2 This invention reduces the terrain scanning blind zone to less than 1%, providing a reliable basis for engineering risk assessment. It effectively solves the problems of inaccurate concentration control, asynchronous data, and insufficient terrain measurement accuracy in existing technologies, providing strong support for the design optimization and risk prevention of high-pile wharves. Attached Figure Description

[0029] The accompanying drawings, which form part of this application, are used to provide a further understanding of this application. The illustrative embodiments and descriptions of this application are used to explain this application and do not constitute an undue limitation of this application. In the drawings:

[0030] Figure 1 This is a flowchart of the measurable high-pile wharf group pile scour and siltation simulation test method according to an embodiment of the present invention;

[0031] Figure 2 This is a layout diagram of the flow control equipment according to an embodiment of the present invention;

[0032] Figure 3 This is a PID control algorithm model for an embodiment of the present invention;

[0033] Figure 4 This is a schematic diagram illustrating the influence of the P value in an embodiment of the present invention;

[0034] Figure 5 This is a schematic diagram illustrating the influence of value I in Embodiment I of the present invention;

[0035] Figure 6 This is a schematic diagram illustrating the influence of the D value in an embodiment of the present invention;

[0036] Figure 7 This is a top view of the system according to an embodiment of the present invention;

[0037] Figure 8 This is a front view of the system according to an embodiment of the present invention;

[0038] Figure 9 This is a side view of a system example of the present invention. Detailed Implementation

[0039] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.

[0040] It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases the steps shown or described may be executed in a different order than that shown here.

[0041] Example 1

[0042] This invention aims to provide a simulation test method for siltation and scouring of pile groups in high-pile wharves. It addresses the core problems in existing technologies, such as inaccurate control of sediment concentration, asynchronous multi-parameter data, and insufficient accuracy of topographic surveys. It provides a highly realistic experimental tool for port engineering, solving the pain points of "simulation distortion and invalid data" in traditional systems, and supporting the design optimization and risk control of high-pile wharves.

[0043] like Figures 7-9 As shown, this invention discloses a simulation test system for scour and siltation of pile groups at a high-pile wharf. The system includes a high-pile wharf model, a sand-addition system, a concentration measuring device, an acoustic Doppler current meter, a 3D scanner, and a large-scale intelligent multifunctional tidal pool equipped with a pool flow generation system. The system determines the test range of the model, selects an appropriate scale, and conducts flow rate determination. Water is added to the pool to the test level, and after the water level stabilizes, parameters are set according to representative flow elements. The water pump is adjusted to ensure that the flow elements in the test pool meet the test requirements. Appropriate model sand is selected to assist the test according to the test requirements. This invention can more accurately simulate the scour and siltation process of pile groups at a high-pile wharf and more reasonably reflect the scour and siltation process of pile groups below a high-pile wharf under real water flow conditions.

[0044] like Figure 1 As shown in the figure, this embodiment provides a measurable high-pile wharf pile group scour and siltation simulation test method, including: a tidal pool for simulating the water flow environment of the high-pile wharf; a sand-adding system for simulating the sand-adding process and adding sand to the tidal pool; a control system for controlling the test parameters of the tidal pool and the sand-adding system; a pile group model for simulating different inclination angles of the actual high-pile wharf pile group; and a measurement system for recording flow velocity, suspended sand concentration data between piles, and surface topography.

[0045] The control system includes a flow meter, a frequency converter, and a control unit. The flow meter is used to monitor the water flow rate in the flow generation system in real time. The frequency converter is connected to the flow generation pump and is used to adjust the pump speed to control the water flow rate. The control unit uses a PID control algorithm to adjust the frequency of the frequency converter in real time based on the flow deviation detected by the flow meter to achieve stable control of the target flow rate. It also optimizes the flow regulation strategy by measuring the flow velocity data and suspended sediment concentration data fed back by the measurement system.

[0046] Flow meter with a measurement accuracy of 0.5%; frequency converter with a control accuracy of up to 0.01Hz; through-flow pump. The flow meter is installed on the pipeline to monitor the flow rate within the pipeline. For example... Figure 2 As shown.

[0047] Large-scale intelligent multi-functional tidal water tank: Concrete waterproof layer structure, dimensions 35.0m × 6.0m × 1.0m (length × width × depth). Two flow-generating pumps are installed at each end of the test tank, with a maximum flow rate of 0.768m³. 3 / s. Both ends have wave-damping devices to reduce water flow impact. The pool can simulate unidirectional and tidal flow. The tidal flow pool includes a test area and a return water corridor (forming a closed flow loop).

[0048] Equipment configuration: A sand-adding system is installed at the inlet of the test area of ​​the large-scale intelligent multifunctional tidal pool; a high-pile wharf model is installed in the middle of the test area of ​​the large-scale intelligent multifunctional tidal pool; a three-dimensional positioning track is arranged above the middle of the test area of ​​the large-scale intelligent multifunctional tidal pool, and a measurement subsystem is mounted on the track.

[0049] Group pile model: Rust-proof steel pipes are welded onto steel plates, and different inclination angles of the actual high-pile wharf pile group are simulated. The actual terrain is then laid between the piles using sand and gravel according to a geometric scale.

[0050] Gaza System:

[0051] Stirring components: Double propeller type (three blades φ300mm, speed adjustable from 30-500rpm), material 316L stainless steel.

[0052] Turbidity meter: An optical turbidity meter is installed in the test water tank.

[0053] Sand-filling tank: Cylindrical steel structure storage tank (volume 2m³) 3 A quantitative regulating valve is installed at the bottom (regulation accuracy ±0.5L / min).

[0054] Level gauge: A level gauge is installed inside the tank, with an accuracy of 0.01m and a measuring range of 2m.

[0055] Electric valves: used to open and close sand filling pipelines.

[0056] Pipeline pump: Used to pump sand-containing water from a bucket into a pool.

[0057] Water pump: It draws water from the return water channel into the sand tank, and can be used with a level gauge to keep the water level in the tank constant.

[0058] Before the experiment begins, input the set concentration value c0 in the pool and the set water level h in the tank into the system. When the turbidity meter detects a concentration c < set value c0, increase the output of the variable frequency pump.

[0059] Liquid level feedback compensation: The water inlet flow rate is adjusted by a proportional valve to ensure that the water level fluctuation in the tank is ≤±5mm.

[0060] The sand-adding system uses a PVC pipe with a diameter of 200mm to add sand. The pipe is connected to both ends of the test water tank via a T-junction, and several sand-adding holes are arranged on the pipe to add sand to the water surface for sand addition simulation. In the sand-adding system, a variable frequency pump is used to pump water from the water tank to the sand-adding tank for water replenishment. At the same time, through automatic control and in conjunction with a level gauge, a constant water level is maintained in the tank.

[0061] Measurement system:

[0062] Acoustic Doppler current meter (probe in water): Acoustic Doppler probe, frequency 1.5MHz, measurement range ±5m / s, resolution 0.001m / s.

[0063] Concentration measuring device (probe in water): The water probe is 2.5mm, with a large measuring range, fast sampling, and multi-channel simultaneous measurement, with an accuracy of 0.05kg / m³. 3 Before the experiment begins, voltage values ​​at multiple specified concentrations need to be calibrated. Then, a voltage-concentration curve is generated by software fitting. During measurement, the concentration between piles can be obtained by measuring the voltage at the probe and passing through the curve.

[0064] Laser scanner (requires an anhydrous environment): wavelength 532nm, point cloud density ≥500 points / cm² 2 The remote focusing compensation system, after the test, slowly drains the water to a semi-dry state, with the scanner probe 20-30cm away from the pile, then starts scanning and slowly moves the three-dimensional positioning guide rail to generate a three-dimensional image.

[0065] All modules are deployed in a large-scale intelligent multi-functional tidal flow tank. It supports unidirectional flow, tidal flow, and multi-concentration simulation, meeting the needs of complex engineering scenarios. A pile group is arranged within the large-scale intelligent multi-functional tidal flow tank, above which a three-dimensional positioning guide rail is installed. The guide rail has x, y, and z axes and can be moved to a designated position for measurement. A measurement system (including a flow meter, concentration measuring device, and 3D scanner) is mounted on the guide rail. The measurement system is connected to a computer via a wired connection. A sand-adding system is installed above the tidal flow tank. This system connects to two solenoid valves via a T-connector, leading to sand inlets on both sides. Several sand-adding holes are distributed along the cross-section of the sand-adding pipe. The sand-adding system and the large-scale intelligent multi-functional tidal flow tank are integrated into a system that can be controlled collaboratively, allowing for cyclic flow generation. The sand-adding system can automatically add sand to the experimental tank as needed.

[0066] Example 2

[0067] like Figure 1 As shown in the figure, this embodiment provides a method for simulating scouring and silting of piles in a high-pile wharf group, including the following steps: setting the target flow rate and test parameters and starting the flow generation test; acquiring the flow rate through the flow meter of the control system; using a PID algorithm to achieve adaptive control of the flow generation pump and sand addition system based on the flow rate; based on the adaptive control of the flow generation pump and sand addition system, the measurement system synchronously collects flow velocity data and suspended sand concentration data between piles through the movement of the three-dimensional positioning guide rail; when all measuring points have completed the measurement, the flow generation is stopped and the water is allowed to settle, and a laser scanner is started to collect terrain data to obtain terrain simulation results.

[0068] As a specific implementation method of this embodiment, the following steps are included:

[0069] 1) Set the geometric scale of the model;

[0070] 2) Set up the various components in the simulation system to simulate the pile group model of the high-pile wharf and the terrain of the high-pile wharf;

[0071] 3) Perform flow element calibration to obtain flow conditions that meet the test requirements;

[0072] 4) Set up a high-pile wharf pile test system, install a flow meter, concentration measuring device, and three-dimensional terrain scanner, and correctly connect them to the data acquisition equipment (computer);

[0073] 5) Open the inlet valve and add water to a test depth of 0.8m;

[0074] 6) Set the suspended sand concentration to 1 g / L. Before the experiment begins, input the concentration setting value c0 in the pool and the water level setting h = 0.2 in the tank into the system. Manually add several bags of model sand (later, as needed, the model sand can be added by adding a dispensing device to change to electric dispensing).

[0075] 7) Turn on the axial flow pump and input the pre-calibrated power to begin the test;

[0076] 8) Use a flow meter to record flow velocity data, use a concentration measuring device to record suspended sediment concentration data between piles, move the three-dimensional positioning guide rail to the next measuring point and repeat this step.

[0077] 9) After the test, reset the guide rail and let it stand for 6 hours until the suspended sand settles. Then, open the drain valve and slowly release the water.

[0078] 10) Start the 3D scanner, scan the terrain of the measurement surface, move the 3D positioning guide rail, move to the next measurement point and repeat this step;

[0079] 11) End the simulation experiment and obtain the simulation results of flow velocity, concentration, and terrain.

[0080] The experimental model's scale λ was determined comprehensively based on factors such as the experimental site and standards. A normal model was adopted, and the design was based on Froude number similarity.

[0081] The flow element calibration was carried out by adjusting the water pump to ensure that the measured values ​​of the input conditions met the test requirements.

[0082] This technical solution achieves high-precision simulation of scouring and silting of high-pile wharf piles through a precision sensing system and real-time feedback control. Compared with traditional methods, it improves the accuracy of concentration control and reduces the terrain scanning blind zone to less than 1%. The attached flowchart and structural diagram fully present the collaborative working mechanism of each stage of the system.

[0083] This scheme adopts an adaptive feedback circulation flow control method. A high-precision external ultrasonic flow meter is installed on the flow test section to monitor the flow in the pipeline in real time. The flow meter data is transmitted to the controller in real time and feedback control is performed through PID algorithm to adjust the water pump speed in real time to achieve adaptive and stable flow at the target flow rate.

[0084] The core components include: an electromagnetic flowmeter that measures the fluid velocity in the pipeline in real time, serving as a feedback signal source for closed-loop control. Using the flow rate measured by the electromagnetic flowmeter as feedback, a PID algorithm is used to control the frequency of the variable frequency drive, thereby enabling the water pump to achieve the target flow rate and maintain stability. Figure 3 As shown. The PID controller calculates and outputs control signals to adjust the pump's operating parameters (such as speed and valve opening) based on the deviation between the set flow rate and the actual flow rate. The pump is the actuator, adjusting the fluid delivery rate according to the controller's output signal.

[0085] The control principle includes: achieving precise flow rate regulation through closed-loop feedback control. The flow meter collects flow rate data in real time and feeds it back to the PID controller. The controller compares the measured value with the set value and generates a control quantity through proportional (P), integral (I), and derivative (D) calculations to drive the water pump to adjust the output, ultimately making the flow rate approach the target value.

[0086] The implementation steps of the PID algorithm in flow rate control are as follows:

[0087] (1) Parameter definition

[0088] Setpoint (SP): Target flow rate (e.g., V) set =10m / s).

[0089] Measured value (PV): The flow rate (e.g., V) fed back by the flow meter in real time. measured ).

[0090] Deviation (e): e = SP - PV.

[0091] (2) Calculation of PID control input

[0092] Continuous PID formula:

[0093] Proportional element (P): It can quickly respond to deviations and reduce steady-state errors, but if it is too large, it can easily cause overshoot.

[0094] Integral stage (I): To eliminate steady-state error, it is necessary to avoid integral saturation that leads to response lag.

[0095] Differential element (D): predicts the trend of deviation changes, suppresses overshoot, and improves system stability.

[0096] (3) Discretization and Engineering Implementation

[0097] In practical applications, continuous signals need to be discretized (e.g., using a PLC or microcontroller). The formula can be rewritten as follows:

[0098]

[0099] Where T s The sampling period is used to implement iterative calculations through programming.

[0100] System workflow:

[0101] (1) Initialization. Set the target flow rate SP and initialize the PID parameters (K). p ,K i ,K d Electromagnetic flowmeter calibration ensures measurement accuracy.

[0102] (2) Real-time control loop.

[0103] Data acquisition: The flow meter periodically collects the flow rate PV (e.g., 10 times per second) and transmits it to the controller.

[0104] Deviation calculation: The controller calculates e = SP - PV.

[0105] PID control: The control quantity u(k) is updated according to the deviation e and output to the water pump drive device (such as a frequency converter to adjust the motor speed).

[0106] Execution and Feedback: The water pump adjusts its operating status, the flow meter collects the new flow rate again, and the next control cycle begins.

[0107] (3) Parameter optimization. Adjust the PID parameters using the Ziegler-Nichols method or trial and error: first adjust the P parameter until the system exhibits constant amplitude oscillation, and record the critical proportional coefficient K. u and period T u Calculate K using the empirical formula p ,K i ,K d (e.g., PI control: K) p =0.45K u ,K i =K p / (0.83T u )).

[0108] Furthermore, when selecting and installing electromagnetic flow meters, prioritize high-precision, low-latency sensors (such as electromagnetic flow meters and ultrasonic flow meters). During installation, ensure fluid stability (away from bends and valves) to avoid measurement errors.

[0109] Furthermore, the flow meter signal is filtered (e.g., by first-order low-pass filtering) to suppress high-frequency noise. The PID output amplitude is limited (e.g., from 0 to 100% speed) to prevent pump overload.

[0110] Furthermore, dynamic response optimization can be implemented. Incomplete differentiation or differential-first algorithms can be introduced into the differential stage to avoid shocks caused by sudden changes in the setpoint. For systems with large time delays (such as long pipelines), Smith predictors can be used to compensate for the delay.

[0111] The proportional element responds to the deviation signal e(t) of the control system in real time and proportionally. If the current flow rate deviates from the set flow rate, the controller immediately applies a control action to the frequency converter to reduce the error. When the deviation e = 0, the control action is also 0; therefore, proportional control is based on deviation and is thus a differential control.

[0112] A larger P-value results in a faster system response; however, an excessively large P-value can cause the actuator to overshoot the target value due to inertia when approaching it. The system then abruptly lowers the P-value to counteract this, leading to oscillations. Figure 4 As shown.

[0113] The integral term can memorize errors and is mainly used to eliminate static errors and improve the system's accuracy. Its main function is to assist the P-terminal in regulation. The strength of the integral action depends on the integral time constant Ti; the larger Ti is, the weaker the integral action, and vice versa. Figure 5 As shown.

[0114] If the I value is too large, the adjustment is too drastic, which can easily cause overshoot. Several adjustments are needed to bring the flow back to the set value, and there will be oscillations during the process.

[0115] The value of I is too small, so the adjustment is too weak and it does little to help P. Therefore, it takes a long time to reach the set value.

[0116] If the value of I is appropriate, a suitable force can be applied to help P, allowing the current flow to return to the target value within a suitable time.

[0117] The differential element can reflect the changing trend (rate of change) of the deviation signal and can introduce an effective early correction signal into the system before the deviation signal value becomes too large, thereby speeding up the system's response and reducing the settling time.

[0118] A larger D value results in a longer time to reach the target flow rate;

[0119] A smaller D value will cause oscillations, and the actual flow will fluctuate around the target value, gradually reaching and maintaining the target value.

[0120] With a suitable D value, the flow rate reaches the target value quickly without fluctuations. For example... Figure 6 As shown.

[0121] This solution provides equipment that uses the above control algorithm to achieve adaptive and stable flow generation. This invention achieves high-precision flow velocity tracking through closed-loop control (error controllable within ±1%); the PID algorithm of this invention is robust and adaptable to changes in parameters such as fluid viscosity and pipe resistance; this invention has a high degree of automation, reducing manual intervention and improving system reliability.

[0122] The present invention has the following technical effects:

[0123] (1) Improved concentration control accuracy: The closed-loop feedback system reduces the sediment concentration error from ±20% in the traditional scheme to ±5%, significantly improving the authenticity of the experiment; and it can synchronize with the tidal current in real time, and can also generate tidal current curves to achieve precise control of the tidal current sediment process.

[0124] (2) Large-scale high-pile wharf scouring and silting test to better restore the layout of the high-pile wharf on site and better restore the tidal current and sediment conditions.

[0125] (3) Multifunctional applicability: It supports simulation of unidirectional flow, tidal flow and multi-concentration working conditions to meet the needs of complex engineering scenarios.

[0126] The above are merely preferred embodiments of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A measurable high-pile wharf pile scour and siltation simulation test system, characterized in that, The simulation test system comprises: a tidal pool for simulating the water flow environment of a high-pile wharf; a siltation system for simulating the siltation process and siltating the tidal pool; a control system for controlling the test parameters of the tidal pool and the siltation system; a pile group model for simulating the actual pile group of the high-pile wharf and different inclination angles of the pile group of the high-pile wharf; a measurement system for recording the flow velocity, inter-pile suspended sediment concentration data and measurement surface topography; the siltation system is arranged at the inflow port of the test area of the tidal pool; the siltation system comprises: a stirring component, a turbidimeter, a siltation barrel, a liquid level meter, an electric valve, a pipeline pump and a water pump; the measurement system is arranged at the upper part of the tidal pool, wherein the length of the measurement system is greater than or equal to the width of the tidal pool, and the measurement system is connected to the tidal pool through a three-dimensional positioning track; the measurement system comprises: an acoustic Doppler current profiler, a concentration measuring device and a laser scanner; the control system comprises: a flow meter, a frequency converter and a control unit; the flow meter is used to monitor the flow rate of the flow generating system in real time; the frequency converter is connected to the flow generating water pump, and is used to adjust the rotating speed of the flow generating water pump to control the flow rate; the control unit is used to adopt a PID control algorithm, adjust the frequency of the frequency converter in real time according to the flow rate deviation detected by the flow meter, so as to realize stable control of the target flow rate, and optimize the flow rate adjustment strategy through the flow velocity data and the suspended sediment concentration data fed back by the measurement system.

2. A method for simulating the scouring and silting of pile groups of a high-piled wharf, characterized by, The method for implementing the measurable high-pile wharf pile group erosion and deposition simulation test system of claim 1 comprises the following steps: setting a target flow rate and test parameters and starting the flow generating test; obtaining the flow rate through the flow meter of the control system; adopting a PID algorithm based on the flow rate to realize adaptive control of the flow generating water pump and the siltation system; based on the adaptive control of the flow generating water pump and the siltation system, the measurement system synchronously collects the flow velocity data and the inter-pile suspended sediment concentration data through the movement of the three-dimensional positioning guide rail; when all the measurement points complete the measurement, stop the flow generation and place the water, start the laser scanner to collect the topography and obtain the topography simulation result.

3. The method of claim 2, wherein, Before starting the test, it further comprises: based on the test requirements, filling water in the tidal pool and debugging the flow generating water pump; wherein the water depth of the water filling is 0.8m.

4. The method of claim 2, wherein, During the process of starting the laser scanner to collect the topography, the probe of the laser scanner is 20-30cm away from the top of the pile.

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