425 results about "Parameter design" patented technology

The invention discloses a gravity type submerging net cage parameter design optimization method, and relates to the field of mariculture equipment structure optimization, and the method comprises the steps: collecting the multi-period marine environment data of a target sea area, and constructing an environment load sequence with a time-varying characteristic; establishing a three-dimensional coupling finite element model, performing disturbance analysis on a plurality of structure control parameters, and identifying a key design parameter set based on a response sensitivity function; and constructing a multi-objective optimization model including floating and sinking time control, maximum stress minimization and attitude offset constraint, performing global optimization by adopting an adaptive genetic algorithm, obtaining an optimal parameter solution, substituting the optimal parameter solution into the simulation model for dynamic response verification, and if a response index is converged to a target interval, outputting the optimal parameter solution as final design configuration. According to the method, systematic optimization of structural parameters of the submerging and surfacing net cage can be achieved, the stability and safety of the submerging and surfacing net cage under complex sea conditions are improved, and the method has high engineering applicability.

The invention relates to a multi-phase reluctance type micro servo motor parameter design method, system and device, and the method comprises the steps: obtaining excitation magnetic field characteristics and target performance demands of a servo motor, and carrying out the structure differentiation configuration, and obtaining mechanical structure parameters; performing multi-phase excitation electromagnetic performance calculation on the mechanical structure parameters according to motor thermal boundary conditions of the servo motor to generate an electromagnetic performance index set; performing integrated heat dissipation structure design based on the electromagnetic performance index set and the mechanical structure parameters to obtain heat dissipation structure data; and iteratively integrating the mechanical structure parameters, the electromagnetic performance index set and the heat dissipation structure data to obtain a motor structure design scheme. By integrating an electromagnetic performance index set and mechanical structure parameters in integrated heat dissipation construction, collaborative optimization of a heat dissipation network and an electromagnetic core is realized.

The invention discloses a data processing method and device for a whole vehicle wind resistance coefficient, terminal equipment and a storage medium. The method comprises the steps of obtaining a plurality of shape parameter design variable samples of a vehicle; designing a variable sample based on each shape parameter, and training to obtain a wind resistance coefficient prediction model; carrying out global optimization on the wind resistance coefficient prediction model by taking a prediction result of the wind resistance coefficient prediction model as a fitness function value based on a particle swarm algorithm to obtain an optimal appearance parameter design variable; and obtaining an optimal shape design scheme of the vehicle based on the optimal shape parameter design variables. According to the method, the wind resistance coefficient is predicted through the prediction model and the particle algorithm, automatic calculation of the vehicle wind resistance coefficient is achieved, the accuracy problem caused by artificial subjective analysis is avoided, and the analysis accuracy of the whole vehicle wind resistance coefficient is greatly improved.

The invention relates to a clamping control method of a movable mechanical arm. The clamping control method is used for solving the problem of collaborative optimization of stability and precision in clamping operation. According to the method, a motion coupling factor and a contact force gradient mode length are calculated in real time through a dynamic coordination module, base-world coordinate system conversion is combined to realize bidirectional constraint of chassis speed and mechanical arm torque, instability caused by sudden load change is inhibited, a time-varying sliding mode surface and an anti-buffeting control law are adopted for sliding mode control, and the stability of a mechanical arm is improved. Dynamic boundary layer thickness and adaptive gain are introduced, control parameters are further optimized through a double-delay depth deterministic strategy gradient, and a multi-target reward function is designed. According to the method, the robustness of the system is remarkably improved through closed-loop optimization, and the stability and precision of the movable mechanical arm in the clamping operation are improved.

The invention discloses an LLC resonance parameter forward design method, device and equipment, a medium and a program product, and the method comprises the steps: constructing a resonance mathematical model according to the information of elements participating in resonance in an LLC resonant converter, constructing a phase plane model of the LLC resonant converter based on the resonance mathematical model, constructing a target function according to the phase plane model, and carrying out the forward design of the LLC resonance parameter. Calculating state trajectory parameters based on the objective function, and performing parameter design on the LLC resonant converter according to the state trajectory parameters; according to the LLC resonant converter, the phase plane model of the LLC resonant converter is constructed, so that the state track simulation of the LLC resonant cavity is realized, the design of the LLC resonant parameters is realized through the coordinates of the state points on the phase plane, the parameter design complexity of the converter is effectively reduced, the parameter design efficiency is improved, and the performance of the LLC resonant converter is effectively improved.

The invention relates to the technical field of mining engineering, in particular to a goaf blasting parameter design scheme optimization method and system. The method comprises the following steps: analyzing stratum complexity based on goaf distribution and fracture density; according to the rock mechanical parameters and the stratum stress data, the rock anti-knock strength is calculated; the dynamic stability of the goaf is evaluated, and a blasting adaptability coefficient is obtained through the stratum complexity, the rock anti-explosion strength and the dynamic stability; calculating an energy balance coefficient by utilizing the stratum disturbance energy and the blasting energy utilization rate; and based on a genetic algorithm, in combination with the blasting suitability coefficient and the energy balance coefficient, obtaining a goaf blasting parameter design optimal scheme. The method is suitable for underground or open blasting engineering with the goaf, accurate matching of blasting parameters, stratum conditions, goaf stability and engineering actual effect can be achieved, and the problem that goaf blasting safety control, operation efficiency and implementation effect are difficult to comprehensively consider is solved.

The invention discloses a turbine part modular design method, device and equipment combined with machine learning and a storage medium. Comprising the following steps: constructing an agent by utilizing a large language model and an expert knowledge base, and carrying out turbine demand capture and one-dimensional parameter design; performing quick generation and simulation of a two-dimensional blade profile by using an agent model based on a full-connection neural network and an auto-encoder; whether to enter a three-dimensional stage or return optimization is determined through performance judgment; and carrying out rapid generation of a three-dimensional blade profile and viscous flow field simulation by utilizing an attention mechanism-based proxy model, and carrying out performance judgment again to decide that the design is completed or optimization is continued. Through the modularized and intelligent design process, the large language model and various machine learning agent models are integrated, full-process automation and intellectualization of turbine component design are achieved, the design period is remarkably shortened, dependence on artificial experience is reduced, and the design quality is guaranteed.

The invention relates to the technical field of turbine blade life analysis, and discloses a single crystal turbine blade simulation piece test parameter design method and system.The critical distance is adopted to correct the dangerous position of a single crystal turbine blade high-low cycle composite fatigue simulation piece, and then resonance analysis of different orders is carried out to obtain the maximum value of the vibration stress of the dangerous position; and finally, analyzing the static stress value of the dangerous position and the maximum value of the vibration stress to obtain a high-low cycle load ratio of the dangerous film hole so as to carry out high-low cycle composite fatigue test load spectrum design of the dangerous film hole and obtain a composite fatigue test load spectrum for carrying out high-low cycle composite fatigue life test analysis on the single crystal turbine blade simulation part. The influence of the static stress gradient on the high-low cycle composite fatigue life is considered, the sensitivity of the stress gradient to the life is reduced, and the problem that the life evaluation error is large due to the fact that the evaluation is conservative by directly adopting a multi-axis fatigue model based on the stress of the stress concentration position is avoided.

The invention discloses a quasi-zero stiffness vibration isolator based on coupling of an inerter and a connecting rod and a parameter design method, and belongs to the technical field of vibration isolators. The quasi-zero stiffness vibration isolator comprises a connecting rod structure, a spring assembly, an inerter, a vibration isolation plate and a mounting base, the connecting rod structure comprises four connecting rods with the same length; the spring assembly comprises a connecting spring and two supporting springs; the rod pieces AB, AC, A 'B' and A 'C' are connected through hinge joints; two ends of AA'are connected with the inerter through connecting springs which are horizontally arranged in parallel; two ends of CC'are fixed on the mounting base, and two ends of BB 'are fixedly hinged on the vibration isolation plate; the BC end and the B 'C' end are connected through a vertical supporting spring; the supporting spring provides positive rigidity in the vertical direction, the connecting spring provides negative rigidity, and the inertial container amplifies the equivalent mass of the vibration isolation target through inertia so as to reduce the resonance frequency. The vibration isolator achieves low force transmissibility and displacement transmissibility under low-frequency excitation, and the adaptability and stability of the vibration isolator are enhanced.

The invention provides a typical component shot peening strengthening process design method. The typical component shot peening strengthening process design method mainly comprises the steps that 1, typical component shot peening strengthening parameter design technical requirements are determined; 2, a reasonable shot blasting material is selected based on typical component technical requirements; 3, establishing a shot blasting process parameter optimization model based on the neural network; and 4, optimizing and solving shot blasting process parameters on the basis of the surface strengthening requirements of the part. The method is suitable for shot peening strengthening process design with the purpose of improving fatigue strength and stress corrosion breaking strength of typical components, and other parts can be used for reference.

The invention relates to the technical field of engine turbines, and discloses a variable-cycle wide-range engine turbine design method and system.The method comprises the steps that according to preset engine overall performance design requirements, conversion flow, conversion rotating speed and conversion power of multiple different working states are calculated and analyzed; judging whether the conversion flows and the conversion rotating speeds in the different working states meet the equal condition or not; if yes, designing based on a preset conventional turbine design method; if different weight coefficients are not given to the working states, generating design state parameters of the turbine based on the linear weighted sum; according to the design state parameters and the conversion power, at least one of one-dimensional parameter design, two-dimensional parameter design and three-dimensional parameter design of the engine turbine is carried out, so that the engine turbine meets the preset overall performance design requirement of the engine, the efficiency is high in different working states, the flow and power requirements of all working conditions are met, and the working efficiency is improved. And the reliability of the variable cycle engine turbine design method is verified.

The invention provides a synchronous control method based on biaxial mass damping difference mapping as unbalanced output, and relates to the technical field of automatic control theories and motor control, the method is mainly applied to a moving beam type gantry motion platform, and a dynamic characteristic model of biaxial mass damping is adopted to obtain the unbalanced output based on the biaxial mass damping difference mapping. And calculating unbalanced forces which need to be output by the two shafts respectively for inhibiting the synchronization error, and designing one-to-one mapping parameters of the controller according to the output unbalanced forces of the two shafts and realizing self-adaptive adjustment. The method does not need to decouple biaxial characteristics (the decoupling calculation amount is relatively large), does not need to collect asynchronous errors as control quantities in real time, carries out theoretical analysis directly aiming at biaxial dynamic characteristic inconsistency, carries out controller design and real-time adjustment according to the theoretical analysis, is clear and clear in physical significance and easy to realize, and is suitable for large-scale popularization and application. And one-to-one mapping of controller parameters can be directly carried out according to different mechanical characteristics, and active controller design is realized.

The invention relates to the technical field of grouting construction parameter design, in particular to a large-section tunneling type rectangular tunnel grouting construction parameter optimization design method and system.The method comprises the following steps that modeling is conducted according to design sizes of a rectangular jacking pipe, a pipe joint and a stratum to obtain a rectangular jacking pipe model, a pipe joint model and a stratum model; wherein a construction gap is formed between the pipe joint model and the stratum model; setting slurry simulation parameters and contact surface simulation parameters; setting different hole site slurry injection ratios, performing slurry filling simulation through SPH according to the set different hole site slurry injection ratios, so as to simulate the process of filling the construction gap with slurry and filling the construction gap, and obtaining a corresponding simulation result; and selecting different hole site slurry injection ratios with the shortest time for filling the construction gap and smooth circumferential pressure distribution curve from the simulation result, and outputting the different hole site slurry injection ratios. According to the method, adverse disturbance to the stratum can be reduced to a certain extent through optimization.

The invention relates to the technical field of bridge parameterization design, in particular to an interactive generation type bridge parameter design method and system.The method comprises the following steps that based on span, beam height and support counter-force parameters, the effect of the span on the beam height and the influence of the beam height on support counter-force are analyzed, a node and edge weight set is constructed through the parameter relation, a network structure is formed, and the network structure is constructed; and generating a parameter association network weight matrix. According to the method, by constructing the parameter association network, the visualization and analysis efficiency of the parameter relationship among the span, the beam height and the support reaction force is effectively improved, the design flexibility is improved through optimization and integration of the parameter constraint interval, and generation of the dynamic path has higher logicality and real-time response capability; by means of load distribution optimization, accurate adjustment of design parameters under the complex load working condition is ensured, the design robustness and global consistency are enhanced, the adaptability and reliability of parameter design are improved, and the efficiency and precision of bridge design are remarkably improved.

The invention relates to the technical field of ball screw pairs, and particularly discloses a ball screw pair which comprises a screw rod, a nut, balls and a reverser, the screw rod is provided with an external thread raceway, the nut is provided with an internal thread raceway, and the external thread raceway and the internal thread raceway are oppositely combined to form a closed raceway for the balls to roll. The reverser is provided with raceway grooves used for communicating the adjacent internal thread raceways, the normal section molded lines of the external thread raceways and the internal thread raceways are each in a double-arc shape, each double-arc shape is composed of two symmetrical arcs, and the curvature centers of the two symmetrical arcs are located on the two sides of the center line of the ball. And two-point angular contact can be formed between the ball and each threaded raceway. The parameter design method of the ball screw pair comprises the following steps: S1, determining design input conditions; s2, preliminarily determining core geometric parameters; s3, determining detailed geometric dimensions; and S4, checking the strength and the service life. According to the scheme, the problem that an existing ball screw pair is insufficient in axial bearing performance is solved.

The invention provides an interpretable automatic machine learning analysis method for designing extrusion casting process parameters, and belongs to the field of extrusion casting process parameter design. The method comprises the following steps: constructing squeeze casting process data, and then establishing a machine learning prediction model of squeeze casting process parameters based on an automatic machine learning framework; and on the basis, an interpretable artificial intelligence algorithm is used for carrying out interpretable analysis on the extrusion casting process parameter prediction decision. According to the design method, an advanced automatic machine learning framework and an interpretable artificial intelligence algorithm are combined, so that the extrusion casting process parameter design process is more transparent and reliable. Meanwhile, the method is combined with an existing squeeze casting process data set, implicit relations between material components and process parameters are mined through high-order knowledge dimensions of a machine learning algorithm, and a new thought is provided for modeling optimization design of materials and process parameters of the squeeze casting process.

The invention provides a fan tuned mass inerter damper structure and a parameter design method, and belongs to the field of ocean engineering vibration reduction. The structure comprises an engineering structure, an outer sleeve, a roller, an inner sleeve, an additional mass block, four damper spring units and four inerter system units. The engineering structure is fixed with the external sleeve, and a guide rail is formed between the engineering structure and the external sleeve; the additional mass block is arranged in the center of the inner sleeve, the four inerter system units are connected with the damper spring unit and located on the same plane, the other ends of the four inerter system units are connected with the inner wall of the inner sleeve, and each inerter system unit comprises an inerter system spring, a damping unit, a first inerter unit and a second inerter unit. According to the structure, translation-rotation conversion is achieved through the inerter unit, efficient inertia synergy is achieved with small physical mass, and the load of a draught fan is relieved; the four units are symmetrically arranged to ensure omnidirectional vibration suppression; the roller guide rail reduces friction and improves response sensitivity and energy consumption efficiency; according to the parameter design method, parameters are accurately optimized, and broadband vibration reduction performance and engineering reliability are guaranteed.

The novel digital mandibular advancement appliance parameter design method comprises the following steps: step 1, constructing a three-dimensional finite element model comprising upper and lower jawbones, dentition, periodontal ligament, temporal-mandibular joints and a mandibular advancement appliance based on the three-dimensional finite element model; adjusting the boundary of the three-dimensional finite element model through the mandible kinematics parameters to form a simulation boundary; 2, constructing a multi-parameter collaborative prediction model based on the obtained stress data under different combinations of the mandibular protraction amount and the vertical opening amount; based on the stress data, constructing a three-dimensional stress distribution cloud picture by adopting three-dimensional simulation interaction software; 3, inputting the simulation boundary into the multi-parameter collaborative prediction model, and outputting risk early warning information; and 4, determining design parameters of the mandibular advancement appliance based on the three-dimensional stress distribution cloud picture and the risk early warning information. According to the method, the parameters of the appliance are customized, and the designed forward movement amount and the opening amount of the appliance better conform to personal characteristics.

The invention discloses a sleeve-shaped tuned mass damper mounting method based on parameter design calculation. The sleeve-shaped tuned mass damper mounting method comprises the following steps that S1, parameters of a single-column wind turbine platform and a whole machine structure are calculated; s2, calculating parameters of the sleeve-shaped tuned mass damper according to the structural parameters of the wind turbine; s3, the sleeve-shaped tuned mass damper is installed on the single-column type wind turbine platform; in the step S2, a kinetic equation is established through a kinetic analysis model, the optimal damping coefficient cd and the distance d of the translational and rotational freedom degrees are solved, and the step S2 comprises the substeps that S21, the single-column wind turbine platform and the sleeve-shaped tuned mass damper are simplified into equivalent four-freedom-degree models; s22, assuming that external excitation is a simple harmonic load, and deducing translation response and rotation response of the sleeve-shaped mass body and the single-column type wind turbine platform; s23, determining a damping tuning parameter and a frequency tuning parameter; s24, solving an optimal damping coefficient copt by a simultaneous equation in combination with a branch resonance point condition; and S25, calculating the distance d according to the rotation radius ratio rho.

The invention relates to the technical field of industrial parameter design, in particular to an industrial design system and method. The method comprises the following steps: obtaining a to-be-laid industrial structural member; performing to-be-laid layer curved surface model reconstruction on the to-be-laid layer industrial structural member, and performing surface element discretization processing to generate to-be-laid layer discrete geometric surface element data; according to the discrete geometric surface metadata of the to-be-laid layer, carrying out laying layer direction field identification, and generating laying layer direction field data; according to the layering direction field data, carrying out layering process analogue simulation, solving stress, strain and displacement distribution on each surface element, and obtaining surface element mechanical state data; performing process defect analysis according to the surface element mechanical state data to obtain layering process defect data; and performing intelligent layering process parameter combination based on the layering process defect data so as to realize industrial structural member shell layering design. According to the invention, the intelligent design of the layering process of the complex curved surface industrial structural member is realized.

The invention relates to a fractional order PID (Proportion Integration Differentiation) control method and system based on an FPGA (Field Programmable Gate Array). The method comprises the following steps of: 1, setting fractional order PID related parameters according to the requirements of a controlled object; 2, calculating a fractional order calculus weight coefficient according to the fractional order PID related parameters, and storing the fractional order calculus weight coefficient in the FPGA; 3, collecting a state feedback signal of the controlled object, and calculating an integral term operator and a differential term operator; step 4, calculating control output and performing amplitude limiting processing, and updating the state of the controlled object by using the control output after the amplitude limiting processing; and 5, repeating the steps 1-4 to realize fractional order PID closed-loop control. By optimizing a discrete convolution algorithm, adopting a parallel pipeline architecture and configurable parameter design and combining fixed-point number operation and security boundary constraint, the numerical stability and hardware security of the system under high-speed operation are ensured, the calculation speed is remarkably increased while the operation precision is ensured, and the method is suitable for large-scale popularization and application. And the method is suitable for control occasions with extremely high real-time requirements.

The invention discloses a constant-voltage output type wireless electric energy and information synchronous transmission device and a parameter design method thereof. The wireless electric energy and information synchronous transmission device comprises a transmitting side and a receiving side, the transmitting side is composed of a transmitting coil Lp1, a transmitting coil Lp2, an energy transmitting compensation topology, an information transmitting compensation topology, a direct-current power supply Up, an inverter circuit and an information modulation circuit, the direct-current power supply Up is connected with the inverter circuit, and the transmitting coil Lp1 is connected with the transmitting coil Lp2 in series; the receiving side is composed of a receiving coil Ls1, a receiving coil Ls2, an energy receiving compensation topology, an information receiving compensation topology, a rectification filter circuit and an information demodulation circuit, the receiving coil Ls1 and the receiving coil Ls2 are connected in series, and a rectification filter in the rectification filter circuit is connected with a load RL and a compensation capacitor C0. The enabling simultaneous information transmission system has the information transmission capacity, and meanwhile flexible adjustment of the output voltage value can be achieved through reasonable design of the compensation inductor Lf2.

The invention relates to the technical field of power system control, in particular to a cooperative control method and system based on the water hammer effect of a wind and light storage compensation water turbine. A performance index value calculated by an initial angular frequency and an ideal angular frequency is used as a weight updating criterion, and an obtained updated weight, an initial virtual inertia and a virtual damping coefficient are used as input of a neural network to dynamically update parameters so as to realize more stable water hammer effect resistant power compensation. The objective of the invention is to solve the problem of how to realize more stable water hammer effect-resistant power compensation through dynamic parameter design.

The invention discloses a hybrid flapping wing type parameter design method based on network self-differentiation, and relates to the technical field of design and optimization of bionic flapping wing energy collection devices. Inputting the initial design parameters of the mixed flapping wing type into a generative adversarial network to obtain physical field data corresponding to the initial design parameters of the mixed flapping wing type so as to calculate indexes representing energy harvesting characteristics of the mixed flapping wing type; determining a multi-target optimization value according to the index; calculating a loss function through the multi-objective optimization value, calculating the gradient of the loss function relative to the initial design parameters according to network self-differentiation, and updating the initial design parameters according to the gradient; and taking the updated initial design parameters as new initial design parameters, continuing to calculate the multi-objective optimization value until a preset termination condition is met, and determining the initial design parameters meeting the termination condition as the parameter design strategy of the mixed flapping wing type. According to the method, the optimal design parameters of the mixed flapping wing type can be accurately and quickly determined.

The invention provides a parameter design method for a multi-voltage rectification LCC converter, and the method comprises the steps: building a voltage precise mathematical model of a resonant cavity parallel capacitor through employing a fundamental wave equivalent method based on the condition that output capacitors of the multi-voltage rectification LCC converter and a multi-voltage rectifier participate in resonance; the gain of the voltage-multiplying LCC resonant converter is modeled through a voltage accurate mathematical model of a resonant cavity shunt capacitor; determining the number of rectifier bridges, the turn ratio of a transformer and the capacitance value of a rectification voltage-multiplying capacitor according to the voltage of the parallel capacitor of the resonant cavity and the gain of the voltage-multiplying LCC resonant converter; and determining values of the resonant cavity series-parallel capacitor and the resonant cavity inductor according to the capacitance value of the rectification voltage-multiplying capacitor. According to the method, analysis and calculation of the output filter capacitance are incorporated into parameter design of accurate modeling, a scheme for selecting the number of the voltage doubling rectifier bridges is given, and the size can be reduced and economic benefits can be increased under the condition that working condition requirements are met.

The invention discloses a water conservancy project three-dimensional parameterization design method based on deep learning, and relates to the technical field of building design, and the method comprises the steps: obtaining a target building material strength model; a non-filling structure and a to-be-filled structure are obtained; obtaining at least one non-filling block set; numbering the non-filling block set; designing the construction structure of the non-filling blocks in the non-filling block set to obtain the construction structure of the non-filling blocks; verifying the non-filling block construction structure to obtain a non-filling block target structure; and replacing the corresponding non-filling block with the non-filling block target structure in the water conservancy 3D model to obtain a target parameter design scheme. By designing the construction structure of the non-filling blocks in the non-filling block set, complete filling is not needed, so that the construction structure of the non-filling blocks can bear force acting on the construction structure, meanwhile, the used materials are as few as possible, and the effect of saving cost is achieved.

The present invention relates to the technical field of geometric parameter design optimization. The present invention discloses a parameter design method for a metal cavity cooling channel based on multi-physical field coupling, comprising obtaining basic channel data according to cavity-related data and a detuning factor to provide a basis for the design of the cooling channel, constructing W initial channel data based on the basic channel data by presetting a channel design strategy, and simulating temperature tuning data to ensure that the cooling channel can effectively adjust the temperature to prevent thermal deformation and frequency detuning, and calculating the temperature tuning coefficient and the design influence value by using parameters such as the Prandtl number, the Reynolds number and the Nusselt number to provide a scientific basis for the optimized design, and optimizing the initial channel data by using an intelligent optimization algorithm to obtain the optimal channel data, which can significantly improve the stability and operating life of an RFQ accelerator, ensure the high-power continuous operation requirements, effectively improve the heat dissipation performance, and reduce the risk of equipment failure due to thermal effects.

The invention discloses a design scheme obtaining method, device and equipment for a die-casting vehicle body structural member and a medium, and relates to the technical field of technological parameter design, and the method comprises the steps that a main design area of an integrated die-casting aluminum alloy material is analyzed; a tensile test is conducted on the main design area of the integrated die-casting aluminum alloy material, and mechanical property parameters are obtained; establishing a body-in-white finite element model and performing bending-torsional rigidity simulation calculation to obtain a body-in-white bending-torsional rigidity result; establishing an equivalent boundary condition for the rear floor structure based on a body-in-white bending-torsional rigidity result, and performing equivalent simulation analysis to obtain an equivalent simulation analysis result; establishing an optimization model of the rear floor structure according to an equivalent simulation analysis result; performing topological optimization on the optimization model to obtain a topological optimization result; carrying out lightweight design on the rear floor structure based on a topological optimization result; checking the performance of the rear floor structure after the lightweight design; and adjusting the rear floor structure after lightweight design according to a checking result.

The invention discloses a parameter design method and system for a reinforced concrete silo finite element analysis model, and belongs to the technical field of computer aided design, and the system comprises a man-machine conversation module which is used for reading the reinforced concrete silo finite element analysis model of data; the geometric parameter extraction module is used for extracting shape geometric parameters of various components in the finite element analysis model; the internal force extraction module is used for classifying and screening internal force components under a design load combination according to the requirements of selecting and matching steel bars of a foundation, a reservoir wall, a reservoir bottom plate and a reservoir wall hole, and outputting an internal force result in combination with geometric parameters of a model shape; and the data management module is used for managing local data files of the output geometric information and the internal force information and realizing storage and export of model data, so that a user can select and match the reinforcing steel bars by repeatedly utilizing the model data. The method effectively solves the technical problems that in the traditional concrete silo structure design, the efficiency of the extraction process of the model information and the internal force information is low, and errors are prone to occurring.

The invention discloses a wheeled vehicle hydraulic driving system parameter matching method. The method comprises the steps that vehicle basic parameters are obtained; according to the vehicle basic parameters, matching calculation is conducted on a vehicle straight driving system and a vehicle steering system, and straight driving pump motor data and steering pump motor data are obtained; and based on the straight driving pump motor data and the steering pump motor data, the optimal matching parameters of the vehicle hydraulic driving system are obtained. According to the method, the parameter design requirements of the straight driving and steering system of the pure hydraulic driving wheeled vehicle can be met, the performance indexes of the pure hydraulic driving wheeled vehicle are guaranteed, and the performance of the pure hydraulic driving wheeled vehicle is improved.