Force and displacement controlled damping energy dissipation device

Abstract

The application discloses a force and displacement double-controlled damping energy dissipation device, which comprises a first energy dissipation component and a second energy dissipation component. The first energy dissipation component and the second energy dissipation component are connected with a boiler steel frame and a boiler body through hinged supports at both ends, and the length of the first energy dissipation component is equal to that of the second energy dissipation component. The first energy dissipation component comprises a profile steel beam, a plurality of bolt holes are distributed in the profile steel beam, a limiting groove is arranged at the position close to both ends of the profile steel beam, an elongated hole-shaped shear damage key is arranged on the side close to the plurality of bolt holes of the limiting groove, and a connecting cover plate is fixed at the plurality of bolt holes through bolts. The second energy dissipation component is a velocity type damper. The application can help overcome the problem that the prior art cannot simultaneously meet the displacement limitation in the use stage and the large displacement energy dissipation in the earthquake stage.

Description

Technical Field

[0001] This invention relates to the technical field of building structures. More specifically, this invention relates to a damping energy dissipation device with dual force and displacement control. Background Technology

[0002] In large thermal power plants, the boiler steel structure system is a crucial component of the power generation system. It consists of the boiler frame and the boiler body. The boiler body is suspended from beams at the top of the boiler frame by numerous hangers, with a certain distance maintained between the boiler and the frame to allow for appropriate expansion and contraction of the boiler body as temperature changes occur during operation. Traditional boiler frames typically use rigid limiting devices at the expansion centers around the boiler body to bear the loads generated by the expansion and contraction (i.e., withstand expansion forces). These limiting devices ensure the position of the expansion centers by bearing the expansion forces. Simultaneously, under seismic action, these limiting devices also transfer the horizontal seismic forces generated by the boiler body to the main frame of the boiler steel structure. The weight of the boiler body is 2-3 times the weight of the boiler steel structure, often reaching 10,000 tons. Under seismic action, the boiler body exerts enormous horizontal inertial forces on the main frame, necessitating larger beam and column cross-sections to ensure the structure's safety under seismic action.

[0003] In the structural system, the boiler body is suspended at the top of the main frame. The boiler body itself can be regarded as a large mass-coordinated damper. Setting displacement-type energy dissipation devices (such as buckling-restrained braces) between the boiler body and the main frame can also effectively dissipate the energy generated during the earthquake, reduce the force of the boiler body on the main frame, and reduce the amount of steel used. However, during normal operation, the temperature of the boiler body gradually increases. Therefore, the design must allow for free expansion and contraction of the boiler body in both the horizontal and vertical directions, while ensuring a reliable connection between the boiler body and the main steel frame to effectively transmit seismic forces during earthquakes. While buckling-restrained braces can effectively limit the deformation of the boiler body under temperature during operation, the limiting device will restrict significant relative deformation between the boiler body and the main steel frame during earthquakes, resulting in limited energy dissipation. Traditional velocity-type damping devices can ensure a certain relative displacement between the main frame and the boiler body during seismic activity, and dissipate some energy, but the slow heating process of the boiler body during normal operation means that the velocity-type damper connecting the main steel frame and the boiler body cannot effectively limit the deformation of the boiler body during this heating process. Therefore, traditional buckling-restrained braces or velocity-type dampers alone cannot simultaneously guarantee the effective transmission of inertial forces of the boiler body during normal operation and earthquakes. Summary of the Invention

[0004] One objective of this invention is to provide a damping energy dissipation device with dual control of force and displacement, which can help overcome the problem that existing technologies cannot simultaneously meet the requirements of limiting displacement during the service phase and dissipating energy during large displacements during earthquakes.

[0005] To achieve these objectives and other advantages of the present invention, according to one aspect of the present invention, a damping energy dissipation device with dual force and displacement control is provided, comprising a first energy dissipation component and a second energy dissipation component. The first energy dissipation component and the second energy dissipation component are respectively connected to a boiler steel frame and a boiler body at both ends via hinged supports. The first energy dissipation component and the second energy dissipation component have equal lengths. The first energy dissipation component includes a steel beam with a plurality of bolt holes distributed in the middle portion. Limit grooves are provided near both ends of the steel beam. A slender hole-shaped shear breaking key is provided on the side of the limit groove near the plurality of bolt holes. A connecting cover plate is fixed to the plurality of bolt holes by bolts. The second energy dissipation component is a velocity-type damper.

[0006] Furthermore, the first energy-consuming component also includes an extension beam, with partitions connected to both ends of the steel beam, one end of the extension beam connected to the partition, and the other end of the extension beam connected to an end plate. The end plate is connected to the hinged support, and stiffening ribs are provided between the partition, the end plate, and the extension beam.

[0007] Furthermore, the limiting groove is rectangular in shape, with the side of the limiting groove away from the multiple bolt holes being a straight line and the side closer to the multiple bolt holes being an inwardly concave curve.

[0008] Furthermore, the cross-sections of the steel beam and the extension beam are cross-shaped, I-shaped, or box-shaped.

[0009] Furthermore, it also includes a force sensor, a displacement sensor, a controller, and an actuator; the force sensor and the displacement sensor monitor the force and relative displacement between the boiler steel frame and the boiler body in real time, and feed the data back to the controller; the controller dynamically adjusts the damping coefficient of the velocity damper based on a preset force-displacement dual control algorithm.

[0010] Furthermore, the force-displacement dual control algorithm employs a dual fuzzy logic controller, including a first fuzzy logic sub-controller and a second fuzzy logic sub-controller. The first fuzzy logic sub-controller takes the error value and its rate of change between the force sensor monitoring value and a preset force threshold as input variables and outputs a first damping correction coefficient. The second fuzzy logic sub-controller takes the error value and its rate of change between the displacement sensor monitoring value and a preset displacement limit as input variables and outputs a second damping correction coefficient. The controller is equipped with a weighted fusion module, which dynamically fuses the first damping correction coefficient and the second damping correction coefficient according to a weight ratio of 0.6-0.8:0.2-0.4 to generate the final damping control command.

[0011] Furthermore, the actuator includes an electro-magnetic variable damping adjustment unit, which completes the damping coefficient adjustment within 10ms according to the final damping control command, and is equipped with a self-learning module, which extracts features from historical control data through a neural network algorithm and corrects the membership function parameters of the fuzzy logic controller in real time.

[0012] Furthermore, short-term and long-term features are extracted from historical control data. The short-term feature is the frequency domain amplitude spectrum of the force / displacement error within the sliding time window, and the long-term feature is the cumulative statistics of the frequency and amplitude of damping coefficient adjustments during continuous 24-hour operation. The short-term and long-term features are fused and analyzed using a neural network to dynamically correct the interval boundary values ​​corresponding to "large force error" and "large displacement error" in the membership function of the fuzzy logic controller. The self-learning module is equipped with an abnormal data filtering unit. When the instantaneous acceleration of the boiler body exceeds 80% of the preset safety limit, feature extraction of the data for the current period is suspended.

[0013] Furthermore, the controller calculates the rate of change of force error and the rate of change of displacement error in real time and compares them with preset impact thresholds and displacement thresholds. When the rate of change of force error is greater than or equal to the impact threshold and the displacement error is less than the displacement threshold, it is determined to be a sudden impact state, and a weight ratio of 0.8:0.2 is adopted. When the rate of change of force error is less than the impact threshold and the displacement error is greater than or equal to the displacement threshold, it is determined to be a steady-state vibration state, and a weight ratio of 0.6:0.4 is adopted. Other cases are determined to be a transition state, and the dynamic weight ratio is calculated by using the hyperbolic tangent function based on the ratio of the rate of change of displacement error to the maximum rate of change.

[0014] Furthermore, the dynamic weight ratio calculation configuration in the transition state is as follows: based on the ratio of the real-time value of the displacement error change rate to the preset maximum change rate, a smooth transition weight ratio curve is generated through the nonlinear mapping characteristics of the hyperbolic tangent function; the controller presets a displacement error change rate threshold range, and when the real-time ratio is within the threshold range, the dynamic weight ratio gradually changes from 0.6:0.4 to 0.8:0.2 as the ratio increases, and the weight ratio change rate reaches a peak in the middle of the range and approaches zero at both ends; the actuator adjusts the damping coefficient according to the gradual weight ratio.

[0015] The present invention has at least the following beneficial effects:

[0016] This invention effectively solves the problem that traditional energy-dissipating devices used in boiler steel frame structures cannot simultaneously meet the energy dissipation requirements during both the limited displacement stage and the large displacement stage during earthquakes. During normal operation, this invention utilizes the steel component connection nodes to provide sufficient load-bearing capacity, satisfying the requirement to limit overall deformation of the boiler body during heating. Simultaneously, under strong earthquakes, the steel connection nodes, through proper design, can generate large displacements, causing significant sliding between the boiler body and the steel frame, thus fully utilizing the energy dissipation purpose of the velocity-type energy-dissipating device during this stage. The novel structural method proposed in this invention uses bolted connections for the steel components. Under minor earthquakes, these bolted connections dissipate energy through friction between the cover plate and the cruciform steel component contact surface. Taking advantage of the high shear yield strength of steel, through proper design, a shear slip failure surface can be formed on the steel component at the shear failure key connection line under moderate and strong earthquakes. This fully utilizes the advantages of steel plates—high deformation capacity and strong energy dissipation capacity under shear force—dissipating a portion of the energy through shear yielding and plastic fracture of the steel plate, reducing the interaction force between the boiler and the steel frame.

[0017] Other advantages, objectives and features of the present invention will become apparent in part from the following description, and in part from those skilled in the art through study and practice of the invention. Attached Figure Description

[0018] Figure 1 This is a schematic diagram of the structure of one embodiment of this application;

[0019] Figure 2 for Figure 1 Cross-sectional view at point AA;

[0020] Figure 3 This is a structural schematic diagram of a steel beam according to one embodiment of this application;

[0021] Figure 4 This is a schematic diagram of the structure of a limiting groove according to an embodiment of this application. Detailed Implementation

[0022] The present invention will now be described in further detail with reference to the accompanying drawings, so that those skilled in the art can implement it based on the description.

[0023] It should be understood that terms such as "having," "comprising," and "including" used in the embodiments of this application do not exclude the presence or addition of one or more other elements or combinations thereof. All directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of this application are only used to explain the relative positional relationship and movement of components in a specific posture. If the specific posture changes, the directional indication will also change accordingly. When an element is referred to as "fixed to" or "set on" another element, it can be directly on the other element or may have an intervening element present. When an element is referred to as "connected to" another element, it can be directly connected to the other element or indirectly connected to the other element through an intervening element. Descriptions involving "first," "second," etc., in the embodiments of this application are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of indicated technical features. Therefore, a feature defined with "first" or "second" may explicitly or implicitly include at least one of those features.

[0024] It should be noted that the technical solutions of the various embodiments of this application can be combined with each other, but only if they are based on the ability of those skilled in the art to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be considered that such combination of technical solutions does not exist and is not within the scope of protection claimed by this application.

[0025] like Figure 1-4 As shown, the embodiments of this application provide a damping energy dissipation device with dual force and displacement control, including a first energy dissipation component and a second energy dissipation component. Both components are connected at their ends to the boiler steel frame and the boiler body via hinged supports 12, and are of equal length. The first energy dissipation component includes a steel beam 1 with multiple bolt holes 2 in its middle. Limiting grooves 3 are formed near both ends. A slender, hole-shaped shear failure key 4 is provided on the side of the limiting groove 3 near the bolt holes 2. The end of the shear failure key 4 has a rounded transition to reduce stress concentration. A cover plate 5 is fixedly connected to the multiple bolt holes 2 via bolts 6. The second energy dissipation component is a velocity-type damper 11.

[0026] The steel beam 1 can be made of existing steel materials such as Q235 steel, Q345 steel, or Q390 steel, and the cross-section can be cross-shaped, I-shaped, or box-shaped, and can be manufactured by rolling or welding. The bolts 6 can be high-strength bolts or ordinary bolts, and the connecting cover plate 5 is a rectangular or circular steel plate, the size of which is determined according to the design load. The width of the limiting groove 3 needs to be designed according to the maximum allowable relative displacement of the boiler body, usually 30mm to 80mm, and the length of the slender hole of the shear failure key 4 can be 50mm to 100mm, and the hole diameter can be 10mm to 20mm. The hinged support 12 is installed on the end plate 8 of the first energy-consuming component and the second energy-consuming component or the end of the steel beam 1. The connecting cover plate 5 is attached to both sides of the steel beam 1 and fastened by bolts 6. The limiting groove 3 and the shear failure key 4 are located in the preset areas at both ends of the steel beam 1.

[0027] During assembly, bolt holes 2 are first machined in the middle of the steel beam 1, and limiting grooves 3 and shear failure keys 4 are opened at both ends. The connecting cover plate 5 is fixed to both sides of the steel beam 1 with bolts 6 to form a sliding bolt connection node. Then, the first energy dissipation component and the second energy dissipation component are connected in parallel through the hinged support 12, and the two ends are connected to the boiler steel frame and the boiler body respectively. During normal operation, the bolt connection node restricts the displacement of the boiler body through friction and the initial stiffness of the shear failure key 4; under seismic action, the steel at the shear failure key 4 undergoes shear slip or yielding, allowing a certain relative displacement, and the velocity damper 11 dissipates energy synchronously, realizing dual-control energy dissipation.

[0028] In another embodiment, the first energy-dissipating component of the damping energy-dissipating device with dual force and displacement control further includes an extension beam 10, with partition plates 7 welded to both ends of the steel beam 10, one end of the extension beam 10 being welded or bolted to the partition plate 7, and the other end being welded to an end plate 8, which is connected to a hinged support 12. Stiffening ribs 9 are welded between the partition plate 7, the end plate 8, and the extension beam 10 to enhance the joint strength.

[0029] The cross-sectional shape of the extension beam 10 is consistent with that of the steel beam 1, and can be cross-shaped, I-shaped, or box-shaped. The material used is existing steel such as Q235 steel or Q345 steel. The diaphragm 7 can be a circular, square, or polygonal steel plate, with the thickness determined according to stress calculations, typically 10mm to 20mm. The stiffening ribs 9 are strip steel plates, symmetrically arranged at the connections between the diaphragm 7 and the extension beam 10, and between the end plate 8 and the extension beam 10, with a spacing not exceeding 300mm. The dimensions of the end plate 8 must match those of the hinged support 12, and the bolt holes are positioned according to the support specifications.

[0030] In practice, the partition plate 7 is first welded to both ends of the steel beam 1, and then the extension beam 10 is butt-jointed with the partition plate 7 using bevel welding or high-strength bolts to ensure node rigidity. An end plate 8 is welded to the free end of the extension beam 10, and stiffening ribs 9 are welded to both sides of the weld between the partition plate 7 and the extension beam 10, and to the connection area between the end plate 8 and the extension beam 10. Finally, the structure is connected to the boiler structure via a hinged support 12 on the end plate 8. This structure extends the force transmission path through the extension beam 10, and the stiffening ribs 9 effectively improve the shear and bending resistance of the node, making the connection more reliable when the device is subjected to cyclic loads and avoiding localized damage caused by stress concentration.

[0031] In another embodiment, the limiting groove 3 of the damping energy dissipation device with dual force and displacement control is rectangular in shape. The side away from the bolt hole 2 is a straight line 3-2, and the side closer to the bolt hole 2 is an inwardly concave curve 3-1. The curve 3-1 can be in the form of an arc or a parabola, and the end smoothly transitions to the straight line 3-2.

[0032] The machining of the limiting groove 3 requires pre-reserved areas at both ends of the steel beam 1, and is carried out using CNC cutting equipment. The length of the straight section 3-2 is determined according to the cross-sectional height of the steel beam 1, typically ranging from 150mm to 400mm. The radius of curvature of the curved section 3-1 can be from 30mm to 60mm. The overall width of the limiting groove 3 is 10mm to 20mm larger than the sliding stroke of the shear failure key 4. The material is the same as that of the steel beam 1, using Q235 steel or Q345 steel, and the edges of the groove are chamfered to eliminate burrs.

[0033] After installation, when the boiler body and steel frame experience relative displacement, the steel component containing the shear failure key 4 slides along curve 3-1. This curve design ensures a more uniform stress distribution during sliding, reducing localized stress concentration. When the displacement exceeds the design limit, the sliding component contacts the straight section 3-2 of the limiting groove 3, forming a rigid limit and preventing excessive displacement of the boiler body from damaging auxiliary pipelines. This structure balances the allowable displacement range with safety limiting functions, ensuring equipment safety while consuming energy.

[0034] In another embodiment, the cross sections of the steel beam 1 and the extension beam 10 of the damping energy dissipation device with dual force and displacement control are cross-shaped, I-shaped, or box-shaped. The cross-shaped cross section is formed by vertically welding two steel plates, the I-shaped cross section is formed by rolling or welding, and the box-shaped cross section is formed by welding four steel plates to form a closed cavity.

[0035] The cross-sectional dimensions of steel beam 1 and extension beam 10 are determined based on load calculations. For example, the flange width of an I-beam section is 150mm to 400mm, and the web thickness is 8mm to 20mm; the side length of a box-section section is 200mm to 600mm, and the wall thickness is 10mm to 30mm. Common construction steels such as Q235B and Q345B can be used as materials. E43 or E50 welding rods are used during welding to ensure that the weld quality meets national standards.

[0036] During processing, for cruciform sections, the steel plates must first be cut into blanks and then vertically welded using positioning fixtures; for I-shaped sections, hot-rolled steel sections can be directly purchased or welded into shape; for box-shaped sections, the bottom plate, web plate, and top plate must be welded sequentially, with stiffening plates installed internally at designed intervals. When steel beam 1 and extension beam 10 are connected by diaphragm 7, full penetration welding or high-strength bolt friction connection is used to ensure effective force transmission. Different cross-sectional shapes can adapt to different stress conditions; cruciform sections are suitable for bi-directional bending scenarios, while box-shaped sections are suitable for parts with high torsional resistance requirements, improving the overall mechanical performance of the device.

[0037] In another embodiment, the force and displacement dual-control damping energy dissipation device further includes a force sensor, a displacement sensor, a controller, and an actuator. The force sensor can be a resistance strain gauge type or a vibrating wire type, installed at the connection between the hinged support 12 and the boiler steel frame to monitor axial force in real time. The displacement sensor is a draw wire type or a laser type, fixed on the relative displacement path between the boiler body and the steel frame to monitor their relative displacement. The controller is an industrial-grade PLC or an embedded computer with a built-in force-displacement dual-control algorithm. The actuator is an electro-magnetic variable damping adjustment unit connected to the damping channel of the velocity-type damper 11.

[0038] The preset force threshold is determined based on the expansion force during normal boiler operation, typically ranging from 50kN to 200kN. The displacement limit is set according to the allowable expansion and contraction range of the boiler, generally ranging from 20mm to 100mm. The sampling frequency of the force sensor and displacement sensor is no less than 100Hz. The data is transmitted to the controller via a shielded cable. The controller performs a control calculation every 20ms and generates a damping coefficient adjustment command.

[0039] During operation, sensors collect force and displacement signals in real time. The controller calculates the current force error (the difference between the measured value and the force threshold) and displacement error (the difference between the measured value and the displacement limit), and dynamically adjusts the damping coefficient of the velocity-type damper 11 based on a preset algorithm. For example, during normal heating, if the force error is less than the threshold, the controller maintains a low-damping state, allowing the boiler body to expand and contract slightly. When an earthquake occurs, if the displacement error exceeds the limit, the controller increases the damping coefficient, dissipating vibration energy through the velocity-type damper 11, thus achieving adaptive control of the operating conditions.

[0040] In another embodiment, the force-displacement dual-control algorithm of the force-displacement dual-control damping energy dissipation device employs a dual fuzzy logic controller, comprising a first fuzzy logic sub-controller and a second fuzzy logic sub-controller. The first sub-controller's input variables are force error (universe [-300kN, 300kN]) and force error rate of change (universe [-50kN / s, 50kN / s]), and it outputs a first damping correction coefficient (range 0.8-1.2). The second sub-controller's input variables are displacement error (universe [-150mm, 150mm]) and displacement error rate of change (universe [-20mm / s, 20mm / s]), and it outputs a second damping correction coefficient (range 0.6-1.4). The weighted fusion module is implemented through software, fusing the two correction coefficients according to the operating conditions with a weight ratio of 0.6-0.8:0.2-0.4 to generate the final control command.

[0041] The membership function of the fuzzy logic controller adopts a triangular or trapezoidal distribution. The initial boundary of the interval with "large force error" is set to ±150kN, and the initial boundary of the interval with "large displacement error" is set to ±80mm. The controller can manually adjust the domain range and weight parameters through the human-machine interface to adapt to the design requirements of different boiler structures.

[0042] When the system detects a significant increase in force error (such as a sudden increase in inertial force at the beginning of an earthquake), the first sub-controller outputs a larger correction coefficient, focusing on limiting the increase in force. If the displacement continues to increase (such as when the structure enters the plastic stage), the second sub-controller takes the lead in adjustment, increasing the damping in the displacement direction. This dual-input, dual-output control strategy avoids the limitations of single-parameter control, making damping adjustment more suitable for complex load conditions and improving the energy efficiency and structural protection effect of the device.

[0043] In another embodiment, the actuator of the force and displacement dual-control damping energy dissipation device includes an electro-magnetic variable damping adjustment unit. This unit uses a proportional electromagnet or a magnetorheological damping valve, which can complete the damping coefficient adjustment within 10ms, and the response time meets the control requirements of high-frequency seismic loads. The self-learning module is based on a BP neural network algorithm. The input layer consists of 10 feature values ​​from historical control data, such as force error, displacement error, and damping coefficient adjustment. The hidden layer has 20 neurons, and the output layer contains the correction parameters of the membership function.

[0044] Historical data is collected over a one-year period. Short-term feature extraction uses a 5-second sliding time window to calculate the frequency domain amplitude spectrum of force / displacement error (using Fast Fourier Transform). Long-term feature statistics include the frequency, average amplitude, and standard deviation of damping coefficient adjustments over a continuous 24-hour period. The self-learning module updates parameters every 24 hours. When the instantaneous acceleration of the boiler body exceeds the preset safety limit of 1.6g (i.e., 80% of the limit of 2g), the abnormal data filtering unit automatically skips data within the current 10 seconds to avoid interference from impact signals under extreme conditions such as earthquakes during model training.

[0045] The electro-magnetic variable damping adjustment unit is connected to the controller via a CAN bus, receiving 16-bit digital control signals, and achieving an adjustment accuracy of up to 1% of the full scale. The self-learning module continuously optimizes the membership function of the fuzzy logic controller, gradually correcting the boundary values ​​of the intervals for "large force error" and "large displacement error". For example, after six months of operation, the boundary for "large force error" is dynamically adjusted from ±150kN to ±180kN based on actual working conditions, making the control strategy more consistent with the actual performance after equipment aging or load changes, and improving the long-term reliability of the device.

[0046] In another embodiment, when the self-learning module of the force and displacement dual-control damping energy dissipation device extracts historical control data, the short-term feature analysis uses a 1-second sliding time window and calculates the amplitude spectrum of the force / displacement error signal in the 10Hz, 20Hz, and 30Hz frequency bands through fast Fourier transform, which serves as the input features of the neural network; the long-term feature statistics include the damping coefficient adjustment frequency (unit: times / day), the average value and variance of the adjustment amplitude over a continuous 24-hour period, reflecting the energy consumption demand of the system during normal operation.

[0047] The neural network model adopts a three-layer structure: an input layer with 15 nodes (5 short-term frequency domain features + 10 long-term statistical features), a hidden layer using the ReLU activation function, and an output layer with 3 nodes corresponding to the boundary values ​​and weight ratio corrections for intervals with large force errors and large displacement errors. An abnormal data filtering unit monitors the boiler's acceleration signal in real time. When the instantaneous acceleration exceeds 1.6g, a data shielding mechanism is triggered for a duration equal to the time it takes for the impact signal to decay to below 0.2g (usually no more than 2 seconds), ensuring that abnormal data under extreme conditions does not participate in model training.

[0048] Through long-term self-learning, the system can identify energy consumption patterns under different seasons (temperature changes cause fluctuations in boiler expansion force) and different seismic wave types (high-frequency or low-frequency waves), and automatically adjust the parameters of the fuzzy logic controller. For example, when the boiler temperature difference is large in winter, the judgment boundary for "large force error" is automatically reduced by 20kN, activating the force control mode in advance to prevent excessive expansion force from causing overload of connection nodes; when encountering low-frequency seismic waves, the weight of the displacement error change rate is increased, enabling the damper to respond more quickly to the large displacement demand of the structure, improving the environmental adaptability and intelligent control level of the energy-consuming device.

[0049] In another embodiment, the controller of the force and displacement dual-control damping energy dissipation device has a preset impact threshold of 50 N / s and a displacement threshold of 10 mm. The maximum displacement error change rate is determined by statistical analysis of historical data, taking the 95th percentile of the monitored values ​​from the past year. When the force error change rate is ≥50 N / s and the displacement error is <10 mm, it is determined to be a sudden impact state. In this case, priority is given to controlling the increase of force, using a weighting ratio of 0.8:0.2 to rapidly increase the stiffness component of the damper. When the force error change rate is <50 N / s and the displacement error is ≥10 mm, it is determined to be a steady-state vibration state. The focus is on displacement control, using a weighting ratio of 0.6:0.4 to enhance the energy dissipation component of the damper.

[0050] During the transition state, the controller calculates the ratio k (0≤k≤1) of the displacement error change rate to the maximum change rate in real time. The dynamic weight ratio is calculated using the hyperbolic tangent function f(k) = 0.6 + 0.2 × tanh(2k-1), where the slope parameter 2 of the tanh function ensures that the weight ratio changes fastest in the middle of the threshold interval (k=0.5), and the change becomes gradual at both ends (k→0 or k→1). The preset displacement error change rate threshold interval is [0.2, 0.8] times the maximum change rate. When k exceeds this interval, a fixed weight ratio (0.6:0.4 or 0.8:0.2) is directly used at both ends.

[0051] In practical applications, the controller updates the operating condition judgment result every 10ms. As the system gradually transitions from steady-state vibration to strong vibration, the displacement error change rate k gradually increases from 0.3 to 0.7, and the weight ratio smoothly transitions from 0.6:0.4 to 0.8:0.2, avoiding secondary impacts on the structure caused by sudden changes in the damping coefficient. This nonlinear mapping based on the hyperbolic tangent function makes the weight ratio adjustment more consistent with the structural dynamic response characteristics, achieving seamless connection between sudden loads and steady-state vibrations, and improving the control accuracy and structural protection effect of the device under complex ground vibrations.

[0052] In another embodiment, in the calculation of the dynamic weight ratio of the transition state of the damping energy dissipation device with dual force and displacement control, the input parameter of the hyperbolic tangent function is the normalized ratio k of the real-time value of the displacement error change rate and the preset maximum change rate. The function expression is: weight ratio = 0.6 + 0.2 × tanh[(k - 0.5) × 4], where 4 is the coefficient for adjusting the slope, making the weight ratio more sensitive to changes in the threshold range [0.3, 0.7], and tanh is the hyperbolic tangent function. The preset displacement error change rate threshold range of the controller is [0.3 × v_max, 0.7 × v_max], where v_max is the maximum allowable change rate calculated based on the dynamic characteristics of the boiler structure, which is usually determined through time history analysis.

[0053] When k is within the threshold range, the weight ratio gradually changes from 0.6:0.4 to 0.8:0.2 as k increases. For example, the weight ratio is 0.65:0.35 when k=0.3, 0.7:0.3 when k=0.5, and 0.75:0.35 when k=0.7. The rate of change reaches its peak at k=0.5, and approaches zero at k=0.3 and k=0.7 to avoid abrupt changes in the weight ratio. Based on the gradually changing weight ratio, the actuator continuously adjusts the damping coefficient through the electro-magnetic variable damping adjustment unit, with the adjustment step not exceeding 0.5% of the full scale to ensure smooth changes in damping force.

[0054] This configuration enables the device to dynamically allocate force and displacement control weights based on the real-time trend of the displacement error change rate when encountering frequency changes in seismic motion (such as transitioning from high-frequency impact of P-waves to low-frequency large displacement of S-waves). This avoids the lag of traditional fixed weight ratios during operating condition transitions, improves the damper's response to complex seismic waves, effectively reduces the transmission of inertial forces between the boiler body and the steel frame, and ensures the safety and stability of the structure under all operating conditions from frequent to rare earthquakes.

[0055] Although embodiments of the present invention have been disclosed above, they are not limited to the applications listed in the specification and embodiments. They can be applied to various fields suitable for the present invention. For those skilled in the art, other modifications can be easily made. Therefore, without departing from the general concept defined by the claims and their equivalents, the present invention is not limited to the specific details and illustrations shown and described herein.

Claims

1. A damping energy dissipation device with dual force and displacement control, characterized in that, It includes a first energy-consuming component and a second energy-consuming component. The first energy-consuming component and the second energy-consuming component are respectively connected to the boiler steel frame and the boiler body through hinged supports at both ends. The first energy-consuming component and the second energy-consuming component have the same length. The first energy-consuming component includes a steel beam, a plurality of bolt holes are distributed in the middle of the steel beam, a limiting groove is provided near both ends of the steel beam, a slender hole-shaped shear breaking key is provided on the side of the limiting groove near the plurality of bolt holes, and a connecting cover plate is fixed to the plurality of bolt holes by bolts. The second energy-consuming component is a velocity-type damper; It also includes a force sensor, a displacement sensor, a controller, and an actuator; the force sensor and the displacement sensor monitor the force and relative displacement between the boiler steel frame and the boiler body in real time, and feed the data back to the controller; the controller dynamically adjusts the damping coefficient of the velocity damper based on a preset force-displacement dual control algorithm. The force-displacement dual control algorithm employs a dual fuzzy logic controller, comprising a first fuzzy logic sub-controller and a second fuzzy logic sub-controller. The first fuzzy logic sub-controller takes the error value and its rate of change between the force sensor monitoring value and a preset force threshold as input variables and outputs a first damping correction coefficient. The second fuzzy logic sub-controller takes the error value and its rate of change between the displacement sensor monitoring value and a preset displacement limit as input variables and outputs a second damping correction coefficient. The controller is equipped with a weighted fusion module, which dynamically fuses the first damping correction coefficient and the second damping correction coefficient according to a weight ratio of (0.6-0.8):(0.2-0.4) to generate the final damping control command.

2. The damping energy dissipation device with dual force and displacement control as described in claim 1, characterized in that, The first energy-consuming component also includes an extension beam, with partitions connected to both ends of the steel beam, one end of the extension beam connected to the partition, and an end plate connected to the other end of the extension beam. The end plate is connected to the hinged support, and stiffening ribs are provided between the partition, the end plate, and the extension beam.

3. The damping energy dissipation device with dual force and displacement control as described in claim 1, characterized in that, The limiting groove is rectangular in shape, with the side of the limiting groove away from the multiple bolt holes being a straight line and the side closer to the multiple bolt holes being an inwardly concave curve.

4. The damping energy dissipation device with dual force and displacement control as described in claim 2, characterized in that, The cross-sections of the steel beams and the extension beams are cross-shaped, I-shaped, or box-shaped.

5. The damping energy dissipation device with dual force and displacement control as described in claim 1, characterized in that, The actuator includes an electro-magnetic variable damping adjustment unit, which completes the damping coefficient adjustment within 10ms according to the final damping control command, and is equipped with a self-learning module that extracts features from historical control data through a neural network algorithm and corrects the membership function parameters of the fuzzy logic controller in real time.

6. The damping energy dissipation device with dual force and displacement control as described in claim 5, characterized in that, Short-term and long-term features are extracted from historical control data. The short-term feature is the frequency domain amplitude spectrum of the internal force / displacement error within the sliding time window, and the long-term feature is the cumulative statistics of the frequency and amplitude of damping coefficient adjustments during continuous 24-hour operation. By using a neural network to fuse and analyze the short-term and long-term features, the interval boundary values ​​corresponding to "large force error" and "large displacement error" in the membership function of the fuzzy logic controller are dynamically corrected. The self-learning module is equipped with an abnormal data filtering unit. When the instantaneous acceleration of the boiler body exceeds 80% of the preset safety limit, the feature extraction of the data for the current period is suspended.

7. The damping energy dissipation device with dual force and displacement control as described in claim 1, characterized in that, The controller calculates the rate of change of force error and the rate of change of displacement error in real time and compares them with preset impact thresholds and displacement thresholds. When the rate of change of force error is greater than or equal to the impact threshold and the displacement error is less than the displacement threshold, it is determined to be a sudden impact state, and a weighting ratio of 0.8:0.2 is adopted. When the rate of change of force error is less than the impact threshold and the displacement error is greater than or equal to the displacement threshold, it is determined to be a steady-state vibration state, and a weighting ratio of 0.6:0.4 is adopted. The remaining cases are determined to be in a transitional state. The dynamic weight ratio is calculated using the hyperbolic tangent function based on the ratio of the displacement error change rate to the maximum change rate.

8. The damping energy dissipation device with dual force and displacement control as described in claim 7, characterized in that, The dynamic weight ratio calculation configuration for the transition state is as follows: Based on the ratio of the real-time value of the displacement error change rate to the preset maximum change rate, a weight ratio curve with a smooth transition is generated through the nonlinear mapping characteristics of the hyperbolic tangent function. The controller presets a threshold range for the rate of change of displacement error. When the real-time ratio is within the threshold range, the dynamic weight ratio changes continuously and gradually from 0.6:0.4 to 0.8:0.2 as the ratio increases. The rate of change of the weight ratio reaches its peak in the middle of the range and approaches zero at both ends. The actuator adjusts the damping coefficient according to the gradient weight ratio.

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