146 results about "Performance function" patented technology

The invention provides a non-probabilistic time-varying reliability analysis method based on ellipsoid correlation modeling. The method comprises the following steps: carrying out interval modeling on uncertainty input parameters; constructing a multi-dimensional ellipsoid uncertain domain based on correlation information among parameters; a system time-varying performance function is established, and an interval process of output response changing along with time is obtained through uncertainty propagation solution; identifying the maximum value point of the upper boundary and the minimum value point of the lower boundary in the interval process as reliability key points; respectively calculating non-probability reliability indexes based on the ellipsoid model at the moments of the two key points; and taking the smaller value of the two indexes as the non-probability time-varying reliability index of the system in the target time interval. According to the method, the problem that the evaluation result is conservative due to the fact that variable correlation is ignored in a traditional non-probability method is effectively solved, time-varying evolution of system performance can be accurately quantified, and an accurate and practical dynamic safety evaluation tool is provided for a complex engineering system with scarce data.

The invention relates to an unmanned aerial vehicle trajectory tracking control method based on model prediction and preset performance constraint, and the method proposes to introduce Lyapunov stability constraint into a model prediction control framework and integrate a preset performance control mechanism, thereby achieving the unification of performance constraint and system stability analysis. Comprising the following steps: establishing a nonlinear system model based on unmanned aerial vehicle dynamics; position errors and attitude errors are defined, a preset performance function is constructed, and errors with performance constraints are converted into unconstrained errors through error normalization and nonlinear transformation; establishing a model prediction optimization problem on the premise of considering input saturation and stability constraints; designing an auxiliary control law based on the transformation error to construct a stability constraint; it is proved that the control strategy can ensure that errors meet preset performance constraints and system local asymptotic stability. According to the invention, stable and reliable trajectory tracking control of the unmanned aerial vehicle system can be realized, and the method has high tracking precision and good dynamic performance.

The invention provides a heterogeneous multi-agent system control method under a DoS attack based on an event triggering strategy. Robust cooperative control under a complex attack environment is realized through the following steps: S1, performing state description and topological structure modeling on a heterogeneous multi-agent system; s2, carrying out approximation on an unknown nonlinear function in the system; s3, restraining the error dynamic state through a performance function, and ensuring that the system response meets the preset precision; s4, designing a time-varying threshold function, and dynamically adjusting a trigger condition to reduce communication burden; s5, designing an anti-attack controller in combination with event triggering and a Lyapunov theory; s6, designing an adaptive law to carry out online estimation on disturbance; and S7, testing synchronization precision, communication efficiency and anti-attack performance based on a physical platform. According to the method, deep fusion of the event triggering mechanism and the preset performance constraint is realized for the first time, and the self-adaptive dynamic threshold strategy is introduced, so that malicious interference of DoS attacks on a communication link is effectively dealt with, and it is ensured that the heterogeneous nodes can still meet preset performance indexes in an attack scene.

The invention discloses a reconfigurable robot control method and system for a zero-sum game optimization event triggering mechanism. The method comprises the steps that a reconfigurable robot dynamic model based on joint torque feedback is established, an error dynamic state space is established, and a preset performance function is set to restrain the transient performance of the error dynamic state space; the error dynamics state space constraining the transient performance is mapped to the unconstrained error dynamics augmented system state space, and an event triggering mechanism is introduced, so that the unconstrained error dynamics augmented system state space meets the zero-sum game of maximizing the event triggering interval and minimizing the control input; setting a performance index function based on a zero-sum game, and obtaining an optimal control law under an event triggering mechanism through the performance index function; according to the invention, the precision and stability of robot system control are improved through the predetermined performance function; the zero-sum game of an event triggering mechanism is introduced to obtain an optimal control law under a Nash equilibrium condition, so that communication resources and calculation burdens are effectively reduced; and the control torque of each subsystem is smoother under the action of the optimal control law, so that the energy consumption is reduced and the service life of the motor is prolonged.

The invention discloses an unmanned ship target tracking constraint control method based on an exponential time-varying performance function, and relates to the technical field of state tracking control, in particular to the technical field of performance constraint control, comprising the following steps: step (1), establishing an unmanned ship motion three-degree-of-freedom mathematical model; step (2): constructing an exponential time-varying function; (3) constructing an exponential time-varying performance function; (4) introducing a time-varying auxiliary function; (5) designing a transfer function; (6) designing a fixed time performance constraint heading controller based on an exponential time-varying performance function; (7) designing a fixed time performance constraint surging controller based on an exponential time-varying performance function; and (8) performing simulation verification. According to the method, mainly starting from the design of a novel time-varying performance function, the problem that the state error of the traditional performance function constraint control at the initial moment is limited by the performance boundary is solved, so that the transient performance and the steady-state performance of the state tracking error of the unmanned ship are remarkably improved; and the overall control performance of unmanned ship target tracking control is further improved.

The invention belongs to the field of distributed system control, and particularly relates to a vehicle system distributed control method, system and device based on reinforcement learning. Cooperative and competitive dynamic characteristics of a multi-vehicle system are described through a second-order nonlinear dynamic model in combination with a signed directed graph, unknown nonlinear dynamic and external disturbance existing in the vehicle system are considered, and the whole system is modeled as a second-order strict feedback nonlinear system. In order to get rid of dependence of convergence time on initial conditions and optimize transient performance, a preset time performance function is introduced, and a three-part neural network architecture is constructed; and designing a control law cooperating with a preset time parameter, and ensuring the actual preset time boundaries of the multi-vehicle system under the unknown dynamic and external disturbance influence. According to the method, the convergence time can be accurately set, the calculation complexity of a control algorithm is remarkably reduced, and the transient performance and robustness of a vehicle system are improved.

The invention belongs to the technical field of multi-agent cooperative intelligent control, and particularly relates to a multi-mechanical-arm cooperative control method under unknown disturbance, which comprises the following steps: establishing a dynamic model of a strict feedback nonlinear multi-mechanical-arm cooperative system; constructing a communication topological structure of the system through a virtual coupling mechanism; constructing a unified system collaborative error model; introducing a preset time function and a global preset performance function, mapping errors to an adjustable constraint performance space, and ensuring that all error signals are dynamically converged in a performance range set by a user; a task layer shape control force and a pose control force are designed under a distributed gradient descent method framework, a task layer overall control force is constructed, and multiple mechanical arms are driven to move cooperatively and keep a stable formation in a task space; designing a joint layer distributed adaptive control law under unknown disturbance through passive characteristics of a nonlinear system; according to the method, cooperative convergence and stable control of the multi-mechanical-arm system within the preset time can be achieved under unknown disturbance.

The invention discloses a piezoelectric micro-positioning platform preset performance control method based on an extended state observer, and the method mainly comprises the steps: firstly, building a piezoelectric micro-positioning platform system model considering input hysteresis and unknown disturbance; secondly, designing an extended state observer based on a radial basis function neural network to estimate an unmeasurable state of the system and lumped disturbance containing input hysteresis; then, a preset performance function is used, so that the overshoot performance of the system is effectively improved; thirdly, in combination with a preset performance function, a first-order sliding mode differentiator and an expansion state observer, providing a virtual control law and an adaptive control law; and finally, a preset performance controller is utilized, a Lyapunov stability theory is combined, proper parameters are selected to ensure that the closed-loop system is kept stable within preset time, and tracking errors are controlled within a set error range.

The invention provides a self-adaptive performance safety control method for a flexible joint mechanical arm, and relates to the technical field of mechanical arm control. According to the method, state transformation is carried out on the kinematics model of the flexible joint mechanical arm, and then the preset time performance function is constructed, so that the flexible joint mechanical arm connecting rod tracking error can be converged to a specified range within the preset time under any initial condition. In order to ensure that the flexible joint mechanical arm always operates in a safe range, function transformation is constructed for a constraint function boundary and the state of the flexible joint mechanical arm, and a fuzzy logic system is used for approximating a coupling part of the state, so that the flexible joint mechanical arm operates safely. And a high-precision and high-efficiency tracking control target is realized.

The application provides a performance function self-adjusting control method for improving the performance of a quad-rotor flight, first constructs a global performance function with self-adjusting capability, sets an infinite initial value to adaptively constrain the tracking error of the quad-rotor unmanned aerial vehicle; then sets a performance indicator function as a dynamic feasibility monitoring benchmark of the quad-rotor unmanned aerial vehicle, monitors and judges the current flight state of the unmanned aerial vehicle in real time; then constructs a segmented continuous auxiliary system to adjust the boundary parameters of the performance function; for the position control layer of the quad-rotor unmanned aerial vehicle, a control law is designed and deployed based on the self-adjusting performance function; in an indoor obstacle environment, the autonomous flight task of the quad-rotor unmanned aerial vehicle is executed in combination with multiple modules, the performance function is automatically adjusted, and the dynamic balance between safety and precision of the trajectory tracking of the quad-rotor unmanned aerial vehicle is realized.

The invention provides a universal downhole tool instrument testing system, and relates to the technical field of instrument testing, and the system comprises an acquisition module which is used for measuring the performance function parameters of a to-be-tested downhole tool instrument; the detection module is used for monitoring the working state signal characterization quantity of the to-be-measured downhole tool instrument; the storage module is used for storing the performance function parameters and the working state signal characterization quantity; and the control module is used for controlling the acquisition module, the detection module and the storage module. The testing system provided by the invention can be used for testing under the testing conditions of high-temperature and high-pressure simulation wellbores, full-size testing wells and the like along with various types and specifications of underground tools and instruments, and related parameters in the testing process are measured and stored in real time in the whole process; and the downhole tool instrument can be driven or controlled in the testing process so as to verify the function of the downhole tool instrument.

The invention discloses a cooperative control system of a chip mounter double-drive gantry platform, and the system comprises a dynamic modeling and performance constraint module which is used for building a platform dynamic model, predefining the allowable boundaries of a tracking error and a synchronization error and a cross beam torsion inhibition rule, and setting a performance function; the dynamical model comprises mechanical property parameters of a cross beam, sliding blocks on the two sides, a guide rail and a servo motor; the adaptive fusion model prediction adjustment module predicts a future state based on the expected trajectory, and adjusts control gain on line to suppress interference; the deep reinforcement learning module is used for adjusting parameters online and inhibiting synchronization errors based on a reward function; the neural network intelligent compensation module is used for compensating dynamic characteristics and disturbance residual errors of the model; the optimization instruction generation and feedback optimization module is used for fusing signals and generating accurate driving instructions of servo motors on the two sides; and updating model parameters and a control strategy to form closed-loop optimization. The synchronous error is actively sensed and eliminated, the internal stress is inhibited, and reliable cooperative motion is realized.

The application discloses a strict feedback nonlinear multi-body system sampling type distributed aggregation optimization method, comprising the following steps: an aggregation adjusting variable integrating neighbor information in each sampling period is designed, and the adjusting variable is updated in combination with an auxiliary sampling function, so that a distributed aggregation optimization problem on a complex nonlinear system with strict feedback dynamics is converted into a variable adjusting problem, and effective adjustment of the aggregation variable can be realized by using a classical control method. A control law fusing a performance function and the aggregation adjusting variable is proposed to cope with the distributed aggregation optimization problem existing state time delay and time-varying directed graph communication topology. The method provided by the application can realize distributed aggregation optimal control of a complex multi-body system under the conditions of unknown dynamics, state delay and directed equilibrium time-varying topology.

The application belongs to the technical field of vehicle control, and provides a multi-vehicle longitudinal formation robust control method and system based on knowledge transfer, which comprises the following steps: constructing a generalized nonlinear multi-vehicle longitudinal system model of heterogeneous vehicles; mapping an original constrained tracking error to an unconstrained tracking error based on a dynamic design of a segmented performance function of the original constrained tracking error; constructing a coupled sliding mode surface based on the unconstrained tracking error, designing a multi-vehicle longitudinal formation robust controller and an uncertain parameter adaptive law; collecting input data and output data of a first following vehicle under the multi-vehicle longitudinal formation robust controller, and introducing historical brake measurements as additional input data; training a long short-term memory network and performing iterative optimization; and transferring the knowledge in the trained long short-term memory network to other following vehicle control systems. The application solves the problems of low transient response rate, high design complexity, and a large number of parameter configurations in the traditional method.

The application discloses a shallow foundation reliability analysis method and device. The method comprises the following steps: selecting a deterministic bearing capacity envelope surface equation of a shallow foundation according to requirements; obtaining a probability single-axis bearing capacity sample set; converting the deterministic bearing capacity envelope surface by using the probability single-axis bearing capacity sample to generate a large number of probability bearing capacity envelope surface samples; setting a load combination sample according to requirements, comparing the load combination sample with the bearing capacity envelope surface sample, and carrying out reliability analysis by combining a performance function and a Monte Carlo simulation. The core of the application is to solve the probability single-axis bearing capacity, combine the deterministic bearing capacity envelope surface equation, construct the probability bearing capacity envelope surface, and carry out the shallow foundation reliability analysis by using the Monte Carlo simulation. The method avoids numerical analysis for different load combinations respectively, greatly improves the calculation efficiency, and is simple in principle and convenient to use, thereby providing an efficient and practical tool for the shallow foundation reliability analysis under complex geological and load conditions.

The application belongs to the technical field of satellite attitude control, and relates to a large flexible spacecraft distributed fault-tolerant attitude and vibration control method, a large flexible spacecraft rigid-flexible coupling dynamics model with distributed actuators is established by using the Lagrange method, a hierarchical Stackelberg game control framework is established by taking an attitude control subsystem as a leader layer and a vibration suppression subsystem and a fault-tolerant control subsystem as follower layers, performance functions of the three subsystems are defined, and through game of spacecraft distributed fault-tolerant attitude and vibration control, strategy cooperation and dynamic balance between at least two control targets are realized; the application realizes three-axis attitude stabilization and low-frequency vibration suppression of a target spacecraft, and shows stronger fault-tolerant capability under node failure.

The invention relates to a multi-unmanned aerial vehicle distributed fault-tolerant formation control method and system based on a potential game, belongs to the technical field of unmanned aerial vehicle control, and is used for solving the distributed formation control problem of a multi-quadrotor unmanned aerial vehicle virtual leader-follower system under the conditions of model uncertainty, actuator fault and external disturbance. According to the method, a distributed leader estimator is designed to obtain leader expectation information, a preset performance function is introduced in preset time to constrain position and attitude tracking errors, and a linear parameterized regression matrix and a multi-parameter adaptive law are constructed to realize unified compensation of uncertainty and faults. And the formation robustness is guaranteed by combining a potential game and a dynamic average consistency strategy. According to the invention, it is ensured that the tracking error converges to the preset range within the preset time, and the fault-tolerant capability and stability of the formation system are improved.

The invention provides a product design parameter determination method based on reliability quantitative analysis and related equipment, and relates to the technical field of product design and manufacturing, and the method comprises the steps: obtaining physical fault mode data associated with each node in a product structure tree of a target product; constructing a performance function model comprising a plurality of random variables in each different physical fault mode; substituting a preset target reliability index and the to-be-solved design variable into the corresponding performance function model for reverse solving to obtain candidate design parameters; substituting the candidate design parameters into the performance function model, and performing forward checking calculation by adopting a preset numerical value reliability algorithm to obtain a checking calculation reliability index; and determining the candidate design parameters of which the checking reliability indexes meet the target reliability indexes as target design parameters. By implementing the method, the efficiency and accuracy of design parameter determination can be improved.

The application discloses a kind of method, system, terminal equipment and medium based on difference settlement and dynamic settlement law of super diameter shield under airport runway toughness evaluation, it is related to shield engineering technical field.The method includes: obtaining engineering information and post-construction settlement and post-construction difference settlement control standard;Build three-dimensional finite element model containing multiple simulation conditions, multiple key characteristic sections and reflecting the interaction of soil and structure;Simulate the sequential excavation of shield, obtain dynamic settlement data and final settlement value, and calculate the difference settlement amount;Dynamic toughness value and evolution curve are obtained by substituting dynamic settlement data into toughness performance function;Based on dynamic toughness value, calculate the final state toughness index, and determine the toughness grade by combining control standard and pre-set grade division standard.The application realizes runway toughness dynamic and final state quantitative evaluation and grade determination, and clarifies the performance degradation law of structure, which provides scientific basis for construction control optimization and engineering decision.

The invention discloses a wind turbine generator composite adaptive specified performance variable pitch control method, which comprises the following steps: step 1, establishing a dynamic model of a wind turbine generator, including a pneumatic power equation for capturing wind energy of the wind turbine generator, a transmission system dynamic equation and a wind turbine generator simplified model finally used for control; 2, constructing a finite time specified performance function and a conversion error, and converting a problem with error constraint into an unconstrained problem; and step 3, combining the filtering error, and designing a composite adaptive specified performance variable pitch controller. The finite time stipulated performance control method is adopted, the problem that the traditional asymptotic control convergence speed is low is solved, the convergence time and the steady-state precision can be preset, and the dynamic response performance and the power generation efficiency of the system are remarkably improved.

This invention discloses a method and system for full life-cycle management of roads and bridges, relating to the field of road and bridge technology. The method includes acquiring the BIM model of the bridge during the design phase and structural state data and environmental-load data for each stage of the bridge's life-cycle, and constructing a unified model for structural performance degradation. A performance function is generated through multi-factor temporal coupling processing. The performance function is then spatiotemporally aligned and fused with the BIM model, structural state data, and environmental-load data for each stage of the bridge's life-cycle to form a digital structural ontology. Structural state data is extracted from the digital structural ontology, and a dynamic knowledge graph with semantic reasoning capabilities is constructed to output the structural health status. Based on the performance function and structural health status, the failure probability trend is determined and high-risk components are identified, taking into account the bridge's road network level, design capacity, and preset weights for traffic interruption losses, public safety risks, and ecological environment disturbances.

This invention discloses a parallel preset performance trajectory tracking control method for unmanned surface vessels (USVs) oriented towards high-precision operations. This method establishes a real USV system model considering environmental interference, then combines a fuzzy logic system, filters, data stacks, and an extended state observer to construct an artificial USV system model, achieving dynamic interaction between the virtual and real spaces. Subsequently, a preset performance function is designed and an error transformation function is constructed to solve the initial value constraint problem of the preset performance control. Finally, a kinematic guidance law and a parallel preset performance trajectory tracking controller are designed to generate control signals and achieve parallel control of the real and artificial USVs. This invention reduces the cost and risk of real-vehicle testing, improves control efficiency, optimizes the transient and steady-state performance of system trajectory tracking, and broadens the engineering application scope of preset performance control.

The invention relates to a hierarchical terminal sliding-mode control method of a quadrotor unmanned aerial vehicle suspension system based on preset performance, which can eliminate load swing while lifting an unmanned aerial vehicle to a target position, and is based on a kinetic model of the quadrotor unmanned aerial vehicle suspension system added with external interference. Firstly, a preset performance function is utilized to convert system errors into a non-limited system, then the system is divided into a height subsystem and a displacement and swing angle coupling subsystem, a terminal sliding mode controller is designed for the height subsystem, a layered terminal sliding mode controller is designed for the displacement and swing angle coupling subsystem, and an adaptive law is designed on the basis of the terminal sliding mode controller and the layered terminal sliding mode controller. Finally, the controller enables the unmanned aerial vehicle hanging system to arrive at a target point in an expected track, rapid swing elimination is achieved, under the condition that pulse interference is added, it is verified that the robustness of the controller is high, and the actual hoisting requirement for positioning and swing elimination can be met.

The invention belongs to the technical field of vehicle control, and provides a multi-vehicle longitudinal formation robust control method and system based on knowledge migration, and the method comprises the steps: constructing a generalized nonlinear multi-vehicle longitudinal system model of heterogeneous vehicles; dynamically designing a piecewise performance function based on the originally constrained tracking error, and mapping the originally constrained tracking error into an unconstrained tracking error; constructing a coupling sliding mode surface based on an unconstrained tracking error, and designing a multi-vehicle longitudinal formation robust controller and an uncertain parameter adaptive law; collecting input data and output data of a first following vehicle under a multi-vehicle longitudinal formation robust controller, and introducing historical braking measurement as additional input data; training a long short-term memory network, and performing iterative optimization; and transferring the knowledge in the trained long and short-term memory network to other following vehicle control systems. The problems that a traditional method is low in transient response rate, high in design complexity, large in parameter configuration number and the like are solved.

The invention provides an unmanned aerial vehicle cluster preset performance fault-tolerant formation control method based on constraint grading, and relates to the technical field of unmanned aerial vehicle cooperative control. The method comprises the following steps: constructing a kinetic model of a disturbed unmanned aerial vehicle in an unmanned aerial vehicle cluster; according to the relative distance between the position of the disturbed unmanned aerial vehicle and the adjacent unmanned aerial vehicle and the expected safety distance, determining the tracking error of the adjacent unmanned aerial vehicle; according to an error conversion function designed according to a preset performance function, the adjacent machine tracking error is converted into an unconstrained variable; and according to the lumped uncertainty error set obtained by the preset time observer, the unconstrained variable and the dynamical model, determining a tracking control scheme enabling the unmanned aerial vehicle cluster to maintain an expected formation.

The invention discloses a dynamic event triggering preset time fault-tolerant control method considering a non-affine fault. The method comprises the following steps: carrying out online approximation on an unknown nonlinear term in a dynamic decoupling model by adopting a fuzzy logic system to obtain an optimized system model; constructing a segmented preset time performance function, and introducing an instruction filter based on a dynamic surface control technology to process a virtual control signal of the constructed adaptive virtual control law so as to obtain a filtering error; constructing a dynamic signal compensation mechanism based on the filtering error in combination with a sectional preset time performance function, and obtaining a compensated final tracking error; and constructing a dynamic event triggering mechanism to obtain a final fault-tolerant controller, and realizing dynamic event triggering preset time fault-tolerant control considering the non-affine fault according to the final fault-tolerant controller. According to the method, the technical problems of uncontrollability of convergence time, influence of actuator faults and nonlinearity on control performance and limitation of communication and computing resources in the existing method are solved.

The invention provides a random point collocation method for solving global sensitivity of an augmented failure probability of a turbine blade structure, and belongs to the technical field of reliability design. Comprising the following steps: constructing an expected density function of an n-dimensional random input variable of a turbine blade structure to obtain an n-dimensional expected density function; calculating an unconditional augmentation failure probability of the turbine blade structure based on the n-dimensional expected density function and the performance function; a Gauss-Hermite integral quadrature node of the n-dimensional expected density function is determined; constructing an expected density function of (n-1)-dimensional random input variables except the i-th dimension of the turbine blade structure to obtain an (n-1)-dimensional expected density function except the i-th dimension; based on the (n-1)-dimensional expected density function and the conditional performance function, the conditional augmentation failure probability of the turbine blade structure corresponding to the Gauss-Hermite integral quadrature node is calculated; and determining the augmented failure probability global sensitivity of the turbine blade structure. According to the invention, the calculation efficiency of the global sensitivity of the augmentation failure probability of the turbine blade structure can be improved.

This invention provides a two-dimensional planar vehicle formation control method based on fixed-time predetermined performance control, relating to the field of vehicle formation technology. First, the actual distance and azimuth angle between the following vehicle and the target vehicle are calculated, along with the distance tracking error and heading angle tracking error of the following vehicle. Then, a fixed-time predetermined performance function, independent of the initial tracking error value, is constructed to nonlinearly transform the intermediate tracking error into an equivalent tracking error, thereby constructing a composite sliding surface. Further, a second-order composite sliding surface is designed, and an adaptive law is established. Combined with a fixed-time approaching law and a third-order nonlinear dynamic model of the vehicle, the final control input of the following vehicle is calculated, achieving coordinated control of the following vehicle. This method does not depend on the initial value of the tracking error and can effectively constrain the tracking error under any initial state, ensuring that all tracking errors converge to the steady-state region within a fixed time.

The invention discloses a shallow foundation reliability analysis method and device. The method comprises the steps that a deterministic bearing capacity envelope surface equation of the shallow foundation is selected according to requirements; obtaining a probability uniaxial bearing capacity sample set; converting the deterministic bearing capacity envelope surface by utilizing the probability uniaxial bearing capacity sample to generate a large number of probability bearing capacity envelope surface samples; setting a load combination sample according to requirements, comparing the load combination sample with a bearing capacity envelope surface sample, and carrying out reliability analysis in combination with a performance function and Monte Carlo simulation. The core of the method is that the probability bearing capacity envelope surface is constructed by solving the probability uniaxial bearing capacity and combining a deterministic bearing capacity envelope surface equation, and the reliability analysis of the shallow foundation is carried out by adopting Monte Carlo simulation. According to the method, the situation that numerical analysis is conducted on different load combinations is avoided, the calculation efficiency is greatly improved, the principle is simple, use is convenient, and an efficient and practical tool is provided for shallow foundation reliability analysis under the complex geology and load conditions.

The invention relates to the technical field of computer-aided building design, discloses a concrete beam reliability index calculation method and device considering uneven corrosion of a reinforcing steel bar, electronic equipment, a readable storage medium and a program product, and is used for solving the problem that an existing reliability index calculation method cannot consider nonuniformity of the corrosion of the reinforcing steel bar in the longitudinal direction of the reinforcing steel bar. And the calculation result cannot reflect the real situation. The method comprises the following steps: obtaining design parameters of a concrete beam and a probability distribution function of a corrosion non-uniform coefficient of a reinforcing steel bar; dispersing the concrete beam into a plurality of sampling units, and sampling the corrosion non-uniform coefficient based on a probability distribution function to obtain a sampling coefficient; based on the sampling coefficient and the design parameters of the concrete beam, constructing a bearing performance function of each sampling unit, calculating a function value and judging the simulation failure condition of the concrete beam in the current cycle; and calculating the failure probability of the concrete beam in all cyclic sampling, and calculating the reliable index of the concrete beam according to the failure probability.