Design method of hydraulic warehouse protection device for open body barge

Abstract

The present application relates to the technical field of barge protection, and particularly relates to a design method of a hydraulic chamber protection device for an open-body barge. The design method sets a protective steel plate at the two ends of the hydraulic chamber of the open-body barge, selects the material of the steel plate according to the impact working condition and protection requirement, determines the thickness, material and coverage range of the steel plate, controls the gap between the steel plate and the surrounding components in the structural arrangement, realizes the closed protection of the hydraulic chamber, avoids the garbage and gravel from entering the hydraulic chamber, estimates the random probability of the local impact resistance failure of the steel plate caused by the local impact of the stone on the steel plate based on the actual impact observation of the barge loading, designs the installation and fixing layout of the protective steel plate according to the probability, and improves the toughness and reliability of the installation of the protective steel plate. The present application can effectively protect the hydraulic rod from being damaged when the open-body barge is loaded with stones, weaken the impact load of the stone loading, prevent foreign matters from entering the hydraulic chamber, significantly reduce the damage probability of the hydraulic cylinder, prolong the service life of the barge equipment, and reduce the maintenance cost.

Description

Technical Field

[0001] This invention relates to the field of barge protection technology, and in particular to a design method for a hydraulic tank protection facility for open-hull barges. Background Technology

[0002] Open-hull barges are widely used for transporting bulk cargo such as sand, gravel, and minerals. The opening and closing of their cargo holds typically relies on a hydraulic system. The hydraulic hull, containing hydraulic cylinders and related actuators, is a critical component of the entire vessel's operation. During actual operation, the loading phase often uses grab buckets or belt conveyors, with large stones falling from a certain height into the cargo hold, generating significant impact energy. The unloading phase involves material slippage, tumbling, and localized accumulation and collapse, all of which can repeatedly impact the hydraulic cylinders located at both ends of the hull. Furthermore, the hydraulic hull structure has openings and connection gaps, allowing fine particles, mud, and debris to easily enter the hydraulic hull during operation, causing contamination and wear, thus affecting the reliability and service life of the hydraulic system.

[0003] Existing technologies typically employ simple protective structures around the hydraulic cylinder for protection, such as adding local baffles, protective covers, or using the chamber structure for shielding. However, these traditional protective facilities often suffer from simple structural designs and limited coverage, typically only providing shielding for localized areas and failing to effectively cope with high-energy impact loads. Furthermore, stones can easily rebound or accumulate after impact, creating secondary impacts that exacerbate damage to the hydraulic cylinder and surrounding structures. Existing protective structures also suffer from insufficient clearance control during installation, leaving significant gaps between the hydraulic chamber and the external environment. Small stones and debris can easily enter the hydraulic chamber, leading to wear, jamming, or even failure of the hydraulic cylinder seals.

[0004] Traditional protective facilities lack sufficient consideration for structural strength and durability. They are typically not parametrically designed for impact conditions with different particle sizes and drop heights, and lack systematic matching of steel plate thickness, material strength, and reinforcement methods. This makes them prone to deformation, cracking, or failure under long-term high-frequency impact environments. Furthermore, some protective structures use fixed welding methods, which are inconvenient to assemble and disassemble, resulting in high repair costs and impacting ship operation efficiency. Summary of the Invention

[0005] This invention overcomes the shortcomings of the prior art and provides a design method for a hydraulic tank protection facility for open-hull barges.

[0006] To achieve the above objectives, the technical solution adopted by the present invention is as follows: The first aspect of this invention provides a design method for a hydraulic tank protection facility on an open-hull barge, comprising the following steps: The protective facility for the hydraulic tank of the open barge includes protective steel plates, which are installed at the entrance of the hydraulic tank and are symmetrically arranged at both ends of the stone tank. The design method includes the following steps: The protection requirements of the hydraulic tank of the open barge are obtained. Based on the structural response index of the protection requirements, the material properties of the protective steel plate are analyzed by back-calculation based on physical impact theory. The parameter range of candidate materials is obtained to design and select the manufacturing material of the protective steel plate. Based on the selected material information, the processing material for the protective steel plate is prepared on-site. By measuring the entrance of the hydraulic chamber, the size parameters of the entrance are obtained. Based on the size parameters, the length, width and thickness of the processing material are designed so that the protective steel plate can cover the entrance of the hydraulic chamber to the maximum extent. Based on the impact observation of the throwing parameters and throwing conditions when loading stones of different sizes into an open barge, the defensive effectiveness of the protective steel plate against random impacts of stones in different areas is accumulated and updated to determine the probability of local resistance failure. Based on the resistance failure probability analysis, the installation and fixing layout of the protective steel plate is designed. According to the installation layout, the processed protective steel plates are connected and installed at the hydraulic tank entrance of the open-hull barge to protect the hydraulic cylinder from the impact and damage of the thrown stones, and at the same time prevent the thrown garbage and gravel from entering the hydraulic tank.

[0007] Furthermore, in a preferred embodiment of the present invention, the protective steel plate is designed in the form of a rectangular plate with a thickness ranging from 10 to 20 mm.

[0008] Furthermore, in a preferred embodiment of the present invention, the protective steel plate, on the basis of completely covering the exposed area of ​​the hydraulic cylinder end, adds a safety redundancy distance of 20 to 50 mm, and the tilt angle parameter of the protective steel plate is in the range of 10° to 30°, conforming to the running trajectory of the hydraulic cylinder end.

[0009] Furthermore, in a preferred embodiment of the present invention, the minimum yield strength of the protective steel plate is greater than or equal to 355 MPa.

[0010] Furthermore, in a preferred embodiment of the present invention, the surface of the protective steel plate is coated with an epoxy primer wear-resistant coating.

[0011] Furthermore, in a preferred embodiment of the present invention, the allowable gap between the protective steel plate and the hydraulic silo door is controlled within the range of 0 to 5 mm.

[0012] Furthermore, in a preferred embodiment of the present invention, the step of obtaining the protection requirements of the hydraulic tank of the open-hull barge, and performing a back-calculation analysis of the material properties of the protective steel plate based on the physical impact theory according to the structural response index of the protection requirements, and obtaining the candidate material parameter range to design and select the manufacturing material of the protective steel plate, specifically includes the following steps: To obtain the protection requirements of the hydraulic tank of an open barge, based on big data and experience protection cases of hydraulic tanks, we obtained the material parameters of the protective steel plate to cope with different preset throwing impact scenarios and tested multiple structural response indicators of the protective steel plate. The structural response indices include deformation stiffness, strain limit strength, principal stress, equivalent plastic strain, impact bearing capacity, and structural deflection. A multiphysics coupling model was constructed by introducing the finite element analysis algorithm. The random throwing impact force generated by individual stones of different sizes during loading on the open barge was obtained by using the loading and transportation log of the open barge. Based on the multiphysics coupling model, the physical properties of each structural response index and different material parameters are coupled and mapped to obtain a positive mapping table of steel plate structure-material parameters. During the coupling mapping process, the impact mechanics theory based on Newton's laws of motion and impulse theorem is embedded in the multi-physics coupling model to analyze and mask the distribution weights of each random projectile impact force, and establish the physical impact guidance matrix. The partial derivatives of each structural response index with respect to different material parameters are calculated using the physical impact guidance matrix. The response sensitivity of the material parameters is defined. Based on the response sensitivity, the target structural response index and material scheme specified by the protection requirements are back-estimated in the forward mapping table. The target response radar chart of each material parameter is output. Based on big data, we obtain the ideal response radar map of the target structure response index that meets the protection requirements for different material parameters. We then calculate the radar area deviation between the ideal response radar map and the target response radar map to obtain the response radar error. If the response radar error is less than the preset response radar error threshold, the material parameter is calibrated as a candidate material parameter, a candidate material parameter range is generated, and the manufacturing material of the protective steel plate is selected based on the candidate material parameter range.

[0013] Furthermore, in a preferred embodiment of the present invention, the impact observation is conducted based on the drop parameters and loading conditions of stones of different sizes when the open-hull barge is filled with stones. Evidence is accumulated and updated to assess the defensive effectiveness of the protective steel plate against random impacts from stones in different areas, determining the probability of local failure. Based on this failure probability analysis, the installation and fixing layout of the protective steel plate is designed, specifically including the following steps: The structural installation characteristics, material properties, and impact resistance factors of the protective steel plate are obtained, and the protection range of the protective steel plate is divided into k sub-protection areas based on the structural installation characteristics. By retrieving the prior belief resistance distribution of each sub-protection area in the big data based on material properties and impact resistance factors, the defensive effectiveness of each sub-protection area when facing different individual stones is obtained. Based on the matrix network constraints of the prior belief resistance distribution, the defense occupation state boundary of each sub-protection area is established. By acquiring the loading and transportation logs, we can obtain the dropping parameters and loading conditions when loading individual stones of different sizes onto the open barge. Based on the dropping parameters and loading conditions, we can query the damage index exerted by different individual stones during the loading process of the open barge in the analysis of experience protection cases. A likelihood algorithm is introduced, and the observational likelihood calculation of the drop parameters and the throwing conditions is performed based on the damage index in the likelihood algorithm to generate the impact observation evidence probability of different individual stones. Discretize the occupancy state grid of the protected area, simultaneously intervene with Bayesian network analysis to analyze the local impact observation of the dropping parameters and the loading conditions, construct a spatial impact model of different individual stones being thrown by an open barge, and map the local random hit layout of the spatial impact model to each occupancy state grid. During the mapping process, the defense occupation state boundary of each sub-protection area is subjected to multiple cumulative updates and reconstructions of Dirichlet occupation based on the probability of impact observation evidence, generating Dirichlet occupation distribution parameters. Based on the Dirichlet occupation distribution parameters, the failure probability of different areas of the protective steel plate to resist the impact of different individual stones is determined. If the probability of failure is less than the preset failure probability threshold, the sub-protection area is marked as an installable point; otherwise, it is marked as an uninstallable point, and the installable point with the lowest failure probability is selected to design the installation and fixing layout of the protective steel plate.

[0014] This invention addresses the technical deficiencies in the prior art, and its beneficial technical effects are as follows: This invention achieves dual protection against impact loads and debris intrusion during loading and unloading of stones by incorporating a high-strength protective steel plate structure in the critical impact-bearing area at the front end of the hydraulic cylinder of an open-hull barge. Compared to traditional open-hull barges without protective structures, this effectively disperses and weakens the transient impact force generated by falling stones, significantly reducing the risk of structural damage to the hydraulic cylinder due to direct impact. Simultaneously, by optimizing the coverage area and gap control of the steel plate, it prevents garbage and fine particles from entering the hydraulic chamber through gaps, reducing the probability of hydraulic system jamming, wear, and malfunctions at the source. Furthermore, this design method employs precise and reliable parameter selection and structural layout design, balancing structural strength with ease of installation and maintenance, improving barge operation safety and the service life of loading equipment, and greatly reducing the frequency of hydraulic cylinder maintenance and operating costs. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other embodiments can be obtained from these drawings without creative effort.

[0016] Figure 1 The diagram shows the structural installation of the hydraulic tank protection facility for an open-hull barge. Figure 2 A flowchart illustrating a design method for a hydraulic tank protection facility on an open-hull barge is shown.

[0017] In the attached image:

[0018] 101. Protective steel plate; 102. Hydraulic tank of open barge; 103. Stone silo. Detailed Implementation

[0019] To better understand the above-mentioned objectives, features, and advantages of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in these embodiments can be combined with each other.

[0020] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and therefore the scope of protection of the invention is not limited to the specific embodiments disclosed below.

[0021] The first aspect of this invention provides a design method for a hydraulic tank protection facility on an open-hull barge, such as... Figure 1 As shown, it includes the following steps: The protective facility for the hydraulic tank of the open barge includes a protective steel plate 101, which is installed at the entrance of the hydraulic tank 102 of the open barge and is symmetrically arranged at both ends of the stone tank 103. The design method includes the following steps, such as: Figure 2 As shown: The protection requirements of the hydraulic tank of the open barge are obtained. Based on the structural response index of the protection requirements, the material properties of the protective steel plate are analyzed by back-calculation based on physical impact theory. The parameter range of candidate materials is obtained to design and select the manufacturing material of the protective steel plate. Based on the selected material information, the processing material for the protective steel plate is prepared on-site. By measuring the entrance of the hydraulic chamber, the size parameters of the entrance are obtained. Based on the size parameters, the length, width and thickness of the processing material are designed so that the protective steel plate can cover the entrance of the hydraulic chamber to the maximum extent. Based on the impact observation of the throwing parameters and throwing conditions when loading stones of different sizes into an open barge, the defensive effectiveness of the protective steel plate against random impacts of stones in different areas is accumulated and updated to determine the probability of local resistance failure. Based on the resistance failure probability analysis, the installation and fixing layout of the protective steel plate is designed. According to the installation layout, the processed protective steel plates are connected and installed at the hydraulic tank entrance of the open-hull barge to protect the hydraulic cylinder from the impact and damage of the thrown stones, and at the same time prevent the thrown garbage and gravel from entering the hydraulic tank.

[0022] Furthermore, in a preferred embodiment of the present invention, the protective steel plate 101 is designed as a rectangular plate with a thickness ranging from 10 to 20 mm.

[0023] It should be noted that the rectangular design of the protective steel plate 101 facilitates a close fit with the regular boundaries of the hydraulic silo door entrance, achieving high coverage installation and reducing blind spots. By controlling the thickness of the steel plate within the range of 10–20 mm, a balance can be achieved between impact resistance and structural weight. A smaller thickness ensures convenient installation and reduces additional load on the silo body, while a larger thickness enhances energy absorption and deformation resistance against stone impacts, thus providing a reasonable protection margin under different stone throwing conditions. This range-based design also facilitates selection and optimization based on actual impact conditions, ensuring that the steel plate effectively resists random stone impacts, prevents penetration or severe plastic deformation, and avoids material waste and increased construction difficulty due to over-design, achieving a comprehensive improvement in protective performance and engineering adaptability.

[0024] Furthermore, in a preferred embodiment of the present invention, the protective steel plate 101, on the basis of completely covering the exposed area of ​​the hydraulic cylinder end, adds a safety redundancy distance of 20 to 50 mm, and the tilt angle parameter of the protective steel plate 101 is in the range of 10° to 30°, conforming to the running trajectory of the hydraulic cylinder end.

[0025] It should be noted that by adding a safety redundancy distance of 20-50 mm, the effects of installation errors, structural deformation, and displacement caused by random impacts of stones can be effectively compensated, avoiding the risk of local collisions due to edge exposure, thereby improving the reliability and fault tolerance of the protection. The 10°-30° tilt angle design of the protective steel plate 101, on the one hand, causes the dropped stones to have a guiding and sliding effect after contacting the steel plate, reducing the peak value of the positive impact force, reducing the local concentration of impact energy, and preventing stones from accumulating or remaining on the surface of the steel plate; on the other hand, it avoids spatial movement interference with the hydraulic cylinder, ensuring its normal operation of opening and closing.

[0026] Furthermore, in a preferred embodiment of the present invention, the minimum yield strength of the protective steel plate 101 is greater than or equal to 355 MPa.

[0027] Furthermore, in a preferred embodiment of the present invention, the surface of the protective steel plate 101 is coated with an epoxy primer wear-resistant coating.

[0028] Furthermore, in a preferred embodiment of the present invention, the allowable gap control range between the protective steel plate 101 and the hydraulic silo door is 0-5mm.

[0029] Furthermore, in a preferred embodiment of the present invention, the step of obtaining the protection requirements of the hydraulic tank of the open-hull barge, and performing a back-calculation analysis of the material properties of the protection facilities based on physical impact theory according to the structural response index of the protection requirements, and obtaining the candidate material parameter range for designing and selecting the manufacturing material of the protection facilities, specifically includes the following steps: To obtain the protection requirements of the hydraulic tank of an open barge, based on big data and experience protection cases of hydraulic tanks, we obtained the material parameters of the protective steel plate to cope with different preset throwing impact scenarios and tested multiple structural response indicators of the protective steel plate. The structural response indices include deformation stiffness, strain limit strength, principal stress, equivalent plastic strain, impact bearing capacity, and structural deflection. A multiphysics coupling model was constructed by introducing the finite element analysis algorithm. The random throwing impact force generated by individual stones of different sizes during loading on the open barge was obtained by using the loading and transportation log of the open barge. Based on the multiphysics coupling model, the physical properties of each structural response index and different material parameters are coupled and mapped to obtain a positive mapping table of steel plate structure-material parameters. During the coupling mapping process, the impact mechanics theory based on Newton's laws of motion and impulse theorem is embedded in the multi-physics coupling model to analyze and mask the distribution weights of each random projectile impact force, and establish the physical impact guidance matrix. The partial derivatives of each structural response index with respect to different material parameters are calculated using the physical impact guidance matrix. The response sensitivity of the material parameters is defined. Based on the response sensitivity, the target structural response index and material scheme specified by the protection requirements are back-estimated in the forward mapping table. The target response radar chart of each material parameter is output. Based on big data, we obtain the ideal response radar map of the target structure response index that meets the protection requirements for different material parameters. We then calculate the radar area deviation between the ideal response radar map and the target response radar map to obtain the response radar error. If the response radar error is less than the preset response radar error threshold, the material parameter is calibrated as a candidate material parameter, a candidate material parameter range is generated, and the manufacturing material of the protective steel plate is selected based on the candidate material parameter range.

[0030] It is important to note that the material of the protective steel plate is crucial for ensuring high-strength protection of the hydraulic silo. However, traditional material selection often relies heavily on human engineering experience, leading to a high degree of subjectivity. Furthermore, the selected materials are often limited to excellent static performance, but may exhibit brittle fracture or abrupt failure modes under dynamic impact scenarios such as stone loading on open-hull barges. This is due to a lack of targeted matching mechanisms between material properties and stone impact loads, and the neglect of the synergistic design of the optimal solution for the steel plate structure and materials, resulting in excessive redundancy and insufficient protective performance. Therefore, this method starts from the fundamental response perspective of the target structural performance specified by the protective steel plate, and inversely infers the individual material parameters or material combination parameter schemes that satisfy these structural performance responses. Specifically, a multi-physics coupled model is constructed using the finite element method, and this model is used to quantitatively couple and map the material parameters of different designed protective steel plates with structural response indices, providing a forward calculation capability that points from material to structural response, and granting a rapid evaluation mechanism for the performance of structures made of any material or a combination of materials. Furthermore, existing material selection methods lack exploration standards and guidelines for real-world physical perception, resulting in steel plate material selection that does not conform to the physical effects of actual engineering scenarios. They often rely on objective assumptions based on empirical data experiments, leading to generally low accuracy in material selection results and increased experimental costs. To address this, by embedding impact mechanics theory based on Newton's laws of motion and the impulse theorem into a multi-physics coupling model, a phased collision description of the stone impact dynamic process is anchored. This constrains the real physical constraints and dynamic logic framework that conform to different stone loading impact scenarios, eliminating non-physical noise and improving the rationality and scenario fit of protective steel plate material selection.

[0031] It should be noted that the partial derivatives of each structural response index with respect to different material parameters are calculated using the aforementioned physical impact guidance matrix. This allows for the analysis of the influence of structural response on each material parameter, revealing the physical dominance mechanism and inversely determining the characteristics of different material parameters in meeting the target structural response index. Subsequently, based on response sensitivity, the structural response space is mapped back to the material parameter space. The set of material parameters that meet the requirements is deduced from the target response. The response radar chart can characterize the impact resistance performance of a single material parameter on different structural response indices from multiple attribute dimensions. Therefore, the response radar error measures the deviation of each material parameter's target response from the expectation, quantifying the gap between the material scheme and the target response requirements. If the response radar error is less than the preset response radar error threshold, it indicates that the protective steel plate manufactured with this material parameter has good impact resistance and meets the physical impact resistance requirements of protective steel plates in actual stone throwing scenarios. Therefore, it can be applied or used as a design alternative. This method can deduce the material parameter scheme that meets the structural performance response based on the physical impact theory, thereby guiding the selection of material parameters for the protective steel plate. Compared with the traditional design method, it significantly improves the design rationality and reliability of the hydraulic silo protection facility, avoids the structural collapse of the protective steel plate under high frequency and high intensity impact of stone loading, reduces maintenance costs, and ensures the protective strength and toughness.

[0032] Furthermore, in a preferred embodiment of the present invention, the impact observation is conducted based on the drop parameters and loading conditions of stones of different sizes when the open-hull barge is filled with stones. Evidence is accumulated and updated to assess the defensive effectiveness of the protective steel plate against random impacts from stones in different areas, determining the probability of local failure. Based on this failure probability analysis, the installation and fixing layout of the protective steel plate is designed, specifically including the following steps: The structural installation characteristics, material properties, and impact resistance factors of the protective steel plate are obtained, and the protection range of the protective steel plate is divided into k sub-protection areas based on the structural installation characteristics. By retrieving the prior belief resistance distribution of each sub-protection area in the big data based on material properties and impact resistance factors, the defensive effectiveness of each sub-protection area when facing different individual stones is obtained. Based on the matrix network constraints of the prior belief resistance distribution, the defense occupation state boundary of each sub-protection area is established. By acquiring the loading and transportation logs, we can obtain the dropping parameters and loading conditions when loading individual stones of different sizes onto the open barge. Based on the dropping parameters and loading conditions, we can query the damage index exerted by different individual stones during the loading process of the open barge in the analysis of experience protection cases. A likelihood algorithm is introduced, and the observational likelihood calculation of the drop parameters and the throwing conditions is performed based on the damage index in the likelihood algorithm to generate the impact observation evidence probability of different individual stones. Discretize the occupancy state grid of the protected area, simultaneously intervene with Bayesian network analysis to analyze the local impact observation of the dropping parameters and the loading conditions, construct a spatial impact model of different individual stones being thrown by an open barge, and map the local random hit layout of the spatial impact model to each occupancy state grid. During the mapping process, the defense occupation state boundary of each sub-protection area is subjected to multiple cumulative updates and reconstructions of Dirichlet occupation based on the probability of impact observation evidence, generating Dirichlet occupation distribution parameters. Based on the Dirichlet occupation distribution parameters, the failure probability of different areas of the protective steel plate to resist the impact of different individual stones is determined. If the probability of failure is less than the preset failure probability threshold, the sub-protection area is marked as an installable point; otherwise, it is marked as an uninstallable point, and the installable point with the lowest failure probability is selected to design the installation and fixing layout of the protective steel plate.

[0033] It should be noted that impact resistance factors include hardness, density, yield strength, impact toughness, fracture toughness, and strain rate effect. Drop parameters include the throwing point of the individual stone, impact frequency, and impact force.

[0034] It should be noted that due to the non-uniformity of stone dimensions during loading on open-hull barges, there are differences in their mass, gravitational potential energy, motion posture, air resistance, and inertia. This results in the impact point of the stones on the protective steel plate during loading being often microscopically random and fluctuating. Even if some stones have a consistent macroscopic impact point, the actual point of force application remains random. Under this randomness of impact, stones may repeatedly and frequently strike the anchoring points of the steel plate, causing damage or loosening of fixed components or structures (such as screws, welds, or binding straps), creating potential gaps or gaps. This increases the risk of barge malfunctions, such as stones entering the hydraulic chamber or damaging the hydraulic cylinders. To address this, this method first discretizes the potential installation area of ​​the protective steel plate to obtain multiple sub-protective areas, thus refining the microscopic granularity occupied by random impacts. Next, based on the prior belief resistance distribution constraint, a defense occupancy state boundary with a pseudo-counting mechanism is established for each sub-protection area. This defense occupancy state boundary describes the initial belief in the steel plate area's resistance performance in response to impact scenarios, including its occupancy and idle deployment states. This avoids probability degradation to extreme values ​​when no real observation data is available, improving the accumulative and interpretable nature of spatial randomness probability estimation. Specifically, the prior belief resistance distribution refers to the distribution pattern of predicted information regarding the extent of impact resistance that different sub-protection areas of the protective steel plate might withstand under different stone characteristics. Under this prior belief constraint, the subsequent local resistance failure probability estimation is more robust than ordinary probability, avoiding the accumulation of evidence based on initial overconfidence. Since the randomness of the probability of stones hitting the protective steel plate during the stone throwing process is mainly driven by real-time throwing observations, i.e., throwing parameters and throwing conditions, for example, if a certain stone hits a certain area of ​​the steel plate too frequently, the degree of damage may lead to the attenuation or gradual weakening of the impact resistance performance at that point. By using a likelihood algorithm to calculate the observation likelihood of the throwing parameters and throwing conditions based on the damage index, the original scene measurement is transformed into probabilistic evidence of random driving. An impact observation evidence probability is defined, and a mapping is established to the observed defensive occupancy state, ensuring that the random impact response of the steel plate installation design has real physical meaning.

[0035] It should be noted that by analyzing the drop parameters and local impact observations of the loading conditions using Bayesian networks, the spatial impact of different individual stones is transformed into local hit occupancy evidence. Then, the obtained local random hit layout of the spatial impact model is assigned to each occupancy grid, and the observation information and contribution of the local impact of each grid are determined. This achieves perceptual coupling and quantification from spatial physical impact measurement to the steel plate grid's resistance probability, ensuring that the performance estimation of the steel plate's impact resistance follows the premise of stone loading on open-hull barges, thus improving the design reliability of the protective steel plate installation and fixation. Furthermore, by using local impact observations as pseudo-count statistics to update the parameters of the defense occupancy state boundary, multiple accumulations of observation evidence are achieved. This allows the Dirichlet occupancy distribution parameters of each grid to gradually converge with impact observations, serving as a decision estimate of the current grid's defense state under real impact conditions. Simultaneously, the confidence information from the number of observations is retained. Compared to traditional probability update methods, this not only updates the "probability results" but also retains a high-confidence amount of evidence, enhancing the stability and credibility of the spatial probability map. This generates a description of the resistance failure probability of different local areas of the protective steel plate in the loading space. If the failure probability is less than the preset failure probability threshold, it indicates that this sub-protection area has excellent resistance to impacts from stones of varying degrees, and the probability of stone impact at this location is significantly lower than in other areas. This suggests that this location is more suitable as an installation anchor point for fixing methods such as screws and welding, effectively preventing damage or loosening of the fixed installation structure caused by stone throwing, and improving the protective performance, installation stability, and reliability of the protective steel plate at the hydraulic chamber inlet.

[0036] Furthermore, the design method for a hydraulic tank protection facility for an open-hull barge also includes the following steps: By loading and transporting the logs, we obtain multiple frames of edge stone images of the protective steel plate within a preset time period. We then use the Sobel operator to perform feature analysis on each frame of the edge stone image information to obtain the continuous dynamic distribution features of the edge stones. A Kriging hotspot architecture is constructed. Each of the aforementioned dynamic distribution features is introduced into a spatiotemporal convolutional neural network for spatiotemporal convolution processing on the Kriging hotspot architecture. The spatiotemporal scalar interpolation coordinates are output. The dynamic distribution features are then rendered using Kriging interpolation using the spatiotemporal scalar interpolation coordinates to generate a spatiotemporal hotspot distribution model of the edge stones. Obtain the loading specification system applied to the open-hull barge for transporting and filling stones, construct the loading dynamic state space of the open-hull barge based on the loading specification system, and analyze and calculate the hot spot change vector of the spatiotemporal hot spot distribution model to obtain the source dynamic gradient; Acquire the hull loading parameters and environmental data of the open-hull barge when edge stones are distributed around the protective steel plate; wherein, the hull loading parameters include the hull opening angle, hull opening speed and hull vibration amplitude; the environmental data includes wind direction, wind speed, wind force and wave energy intensity; Based on the open-body transport parameters and environmental data, a backtracking driving term and its driving integral function are constructed. Starting from the hot spot domain of the stone distribution model of the spatiotemporal hot spot distribution model, each backtracking driving term is injected into the motion mechanical state space of the equipment along the source dynamic gradient, and the corresponding driving integral function is subjected to inverse integration. When the source dynamic gradient is equal to or infinitely close to 0, the inverse integration operation is stopped and streamline rendering is performed to finally obtain the loading and moving trajectory of the edge stone before the hot spot distribution is fixed. By analyzing the transport trajectory, the peak movement values ​​of stones with different edges during the transport process are obtained, and the edge design parameters of the protective steel plate are optimized based on these peak movement values. The peak movement values ​​include the maximum movement amplitude and the maximum movement height.

[0037] It should be noted that when the edge design of the protective steel plate is unreasonable, gaps will exist between the steel plate and the hydraulic cylinder door. With the loading and operation of the open-hull barge, small stones and dust may enter from the top or edge gaps of the steel plate and accumulate in the dead corner between the steel plate and the hydraulic cylinder, accelerating corrosion or hindering the operation of the hydraulic cylinder. Therefore, this method first uses Kriging hotspots and spatiotemporal convolution to dynamically interpolate and render the distribution pattern of stones at the edge of the protective steel plate, generating a spatiotemporal hotspot distribution model of the edge stones. This model uses a spatiotemporal streaming method to describe in detail the migration trend of edge stones falling into the edge region of the protective steel plate. Subsequently, by solving the scalar field of the change direction of each edge stone hotspot in the spatiotemporal hotspot distribution model, the maximum growth and decay directions of the hotspot change trend are explored, i.e., the source dynamic gradient. This source dynamic gradient approximately expresses the information propagation direction of the edge stone's reverse migration, providing a potential source backtracking guide for tracing the migration trajectory of the edge stones. Furthermore, the migration of edge stones mainly depends on the power source injected by the loading environment of the open-hull barge. For example, the deck vibration and sailing wind generated when the open-hull barge is transporting or dumping stones will cause the edge stones to move to the edge area of ​​the protective steel plate. Therefore, the loading dynamics state space of the barge is constructed through the loading specification system, and the backtracking driving term and its driving integral function are established based on the open-hull loading parameters and environmental data. Among them, the loading dynamics state space defines the dynamic tracing trajectory of the edge stones moving along the negative gradient direction under the barge loading conditions, ensuring that the backtracking height of the edge stone migration trajectory conforms to the actual stone dumping scenario of the open-hull barge. The injection of the retrograde driving term into the kinematic state space is combined to form a reverse propagation path from the migration observation hotspot to the potential source point. The driving integral function of each retrograde term component is used for reverse integration to simulate the reverse process of migration information propagation. This achieves the effect of gradually approaching the source along the information source direction of the edge stone. Through reverse integration, the local movement details and global streamline state of the edge stone can be restored, which significantly improves the positioning accuracy of the edge stone movement peak, ensures the maximization of the protection gain and optimization reliability of the protective steel plate edge design, and reasonably eliminates edge gaps to avoid the phenomenon of small stones entering the hydraulic chamber.

[0038] The above are merely specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A design method for a hydraulic tank protection facility for an open-hull barge, characterized in that: The protective facility for the hydraulic tank of the open barge includes protective steel plates, which are installed at the entrance of the hydraulic tank and are symmetrically arranged at both ends of the stone tank. The design method includes the following steps: The protection requirements of the hydraulic tank of the open barge are obtained. Based on the structural response index of the protection requirements, the material properties of the protective steel plate are analyzed by back-calculation based on physical impact theory. The parameter range of candidate materials is obtained to design and select the manufacturing material of the protective steel plate. Based on the selected material information, the processing material for the protective steel plate is prepared on-site. By measuring the entrance of the hydraulic chamber, the size parameters of the entrance are obtained. Based on the size parameters, the length, width and thickness of the processing material are designed so that the protective steel plate can cover the entrance of the hydraulic chamber to the maximum extent. Based on the impact observation of the throwing parameters and throwing conditions when loading stones of different sizes into an open barge, the defensive effectiveness of the protective steel plate against random impacts of stones in different areas is accumulated and updated to determine the probability of local resistance failure. Based on the resistance failure probability analysis, the installation and fixing layout of the protective steel plate is designed. According to the installation layout, the processed protective steel plates are connected and installed at the hydraulic tank entrance of the open-hull barge to protect the hydraulic cylinder from the impact and damage of the thrown stones, and at the same time prevent the thrown garbage and gravel from entering the hydraulic tank.

2. The design method for a hydraulic tank protection facility for an open-hull barge according to claim 1, characterized in that, The protective steel plate is designed in the shape of a rectangular plate with a thickness ranging from 10 to 20 mm.

3. The design method for a hydraulic tank protection facility for an open-hull barge according to claim 1, characterized in that, The protective steel plate, while fully covering the exposed area at the end of the hydraulic cylinder, adds a safety redundancy distance of 20 to 50 mm. The tilt angle parameter of the protective steel plate ranges from 10° to 30°, conforming to the running trajectory of the hydraulic cylinder end.

4. The design method for a hydraulic tank protection facility for an open-hull barge according to claim 1, characterized in that, The minimum yield strength of the protective steel plate is greater than or equal to 355 MPa.

5. The design method for a hydraulic tank protection facility for an open-hull barge according to claim 1, characterized in that, The protective steel plate is coated with an epoxy primer wear-resistant coating.

6. The design method for a hydraulic tank protection facility for an open-hull barge according to claim 1, characterized in that, The allowable gap between the protective steel plate and the hydraulic silo door is controlled within the range of 0 to 5 mm.

7. The design method for a hydraulic tank protection facility for an open-hull barge according to claim 1, characterized in that, The process of obtaining the protection requirements for the hydraulic tank of the open-hull barge, and then performing a back-calculation analysis of the material properties of the protective steel plate based on the structural response index of the protection requirements, to obtain the parameter range of candidate materials for designing and selecting the manufacturing material of the protective steel plate, specifically includes the following steps: To obtain the protection requirements of the hydraulic tank of an open barge, based on big data and experience protection cases of hydraulic tanks, we obtained the material parameters of the protective steel plate to cope with different preset throwing impact scenarios and tested multiple structural response indicators of the protective steel plate. The structural response indices include deformation stiffness, strain limit strength, principal stress, equivalent plastic strain, impact bearing capacity, and structural deflection. A multiphysics coupling model was constructed by introducing the finite element analysis algorithm. The random throwing impact force generated by individual stones of different sizes during loading on the open barge was obtained by using the loading and transportation log of the open barge. Based on the multiphysics coupling model, the physical properties of each structural response index and different material parameters are coupled and mapped to obtain a positive mapping table of steel plate structure-material parameters. During the coupling mapping process, the impact mechanics theory based on Newton's laws of motion and impulse theorem is embedded in the multi-physics coupling model to analyze and mask the distribution weights of each random projectile impact force, and establish the physical impact guidance matrix. The partial derivatives of each structural response index with respect to different material parameters are calculated using the physical impact guidance matrix. The response sensitivity of the material parameters is defined. Based on the response sensitivity, the target structural response index and material scheme specified by the protection requirements are back-estimated in the forward mapping table. The target response radar chart of each material parameter is output. Based on big data, we obtain the ideal response radar map of the target structure response index that meets the protection requirements for different material parameters. We then calculate the radar area deviation between the ideal response radar map and the target response radar map to obtain the response radar error. If the response radar error is less than the preset response radar error threshold, the material parameter is calibrated as a candidate material parameter, a candidate material parameter range is generated, and the manufacturing material of the protective steel plate is selected based on the candidate material parameter range.

8. The design method for a hydraulic tank protection facility for an open-hull barge according to claim 1, characterized in that, The impact observation is based on the drop parameters and loading conditions of stones of different sizes loaded onto an open-hull barge. Evidence is accumulated and updated to assess the defensive effectiveness of different areas of the protective steel plate against random stone impacts, determining the probability of local failure. Based on this failure probability analysis, the installation and fixing layout of the protective steel plate is designed, specifically including the following steps: The structural installation characteristics, material properties, and impact resistance factors of the protective steel plate are obtained, and the protection range of the protective steel plate is divided into k sub-protection areas based on the structural installation characteristics. By retrieving the prior belief resistance distribution of each sub-protection area in the big data based on material properties and impact resistance factors, the defensive effectiveness of each sub-protection area when facing different individual stones is obtained. Based on the matrix network constraints of the prior belief resistance distribution, the defense occupation state boundary of each sub-protection area is established. By acquiring the loading and transportation logs, we can obtain the dropping parameters and loading conditions when loading individual stones of different sizes onto the open barge. Based on the dropping parameters and loading conditions, we can query the damage index exerted by different individual stones during the loading process of the open barge in the analysis of experience protection cases. A likelihood algorithm is introduced, and the observational likelihood calculation of the drop parameters and the throwing conditions is performed based on the damage index in the likelihood algorithm to generate the impact observation evidence probability of different individual stones. Discretize the occupancy state grid of the protected area, simultaneously intervene with Bayesian network analysis to analyze the local impact observation of the dropping parameters and the loading conditions, construct a spatial impact model of different individual stones being thrown by an open barge, and map the local random hit layout of the spatial impact model to each occupancy state grid. During the mapping process, the defense occupation state boundary of each sub-protection area is subjected to multiple cumulative updates and reconstructions of Dirichlet occupation based on the probability of impact observation evidence, generating Dirichlet occupation distribution parameters. Based on the Dirichlet occupation distribution parameters, the failure probability of different areas of the protective steel plate to resist the impact of different individual stones is determined. If the probability of failure is less than the preset failure probability threshold, the sub-protection area is marked as an installable point; otherwise, it is marked as an uninstallable point, and the installable point with the lowest failure probability is selected to design the installation and fixing layout of the protective steel plate.

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