7 results about "Designtheory" patented technology

The invention relates to a method for machine learning aided design of a structural alloy for a fourth-generation thorium-based molten salt reactor, and belongs to the technical field of artificial intelligence auxiliary material design. The method comprises the steps that S1, an alloy component machine learning model for phase composition prediction is established, specifically, based on known alloy sample data, the sample data comprise alloy element content and corresponding phase composition information, and the machine learning model used for predicting alloy phase composition is established; s2, screening an initial alloy component space through phase composition constraint conditions; s3, secondary screening of alloy components based on thermodynamic simulation; s4, alloy sample preparation and solid solution homogenization treatment; s5, carrying out a mechanical property test; and S6, experimental result feedback and machine learning model closed-loop updating are carried out. According to the method, the artificial intelligence technology and the traditional alloy design theory are organically fused, an efficient and reliable new path is provided for research and development of key structural materials for the fourth-generation thorium-based molten salt reactor, and the important scientific research value and the engineering application prospect are achieved.

This invention discloses a method and system for designing tunnel smooth blasting charge schemes, relating to the field of tunnel blasting engineering technology. The method includes: collecting and preprocessing basic parameter data required for tunnel smooth blasting design; calculating initial design parameter values ​​for the smooth blasting charge based on smooth blasting design theory and a pre-set parameter calculation model, generating an initial design scheme; inputting the initial design parameter values, cross-sectional geometric parameter data, surrounding rock condition parameter data, explosive parameter data, and historical blasting effect feedback index values ​​into a pre-trained neural network optimization model, outputting optimized smooth blasting charge design parameter values; automatically updating the peripheral hole layout and charge structure in the design scheme based on the optimized design parameter values, generating and outputting the final tunnel smooth blasting charge design scheme. This invention enables intelligent and adaptive design of tunnel smooth blasting charge parameters, improving engineering applicability and molding quality.

The invention relates to the field of electromagnetic design and optimization of transformers, in particular to a multi-winding phase-shifting transformer design method based on multi-objective optimization, which comprises the following steps: establishing a model required by multi-objective optimization, constructing a multi-objective optimization model, and setting constraint conditions; an improved NSGA-II algorithm is adopted to solve the multi-objective optimization model; and a Pareto optimal solution set is extracted, and a compromise solution is screened and selected by adopting a TOPSIS method. According to the method, a transformer electromagnetic design theory, a thermal analysis model and an economic cost model are uniformly incorporated into a multi-objective optimization framework, and overall optimization is carried out on design variables such as iron core geometric parameters, winding turn number configuration and wire cross sections; the phase-shifting transformer obtains a Pareto optimal compromise solution set among a plurality of mutually restricted targets such as total loss, material cost, transformation ratio precision, temperature rise margin and the like, and intelligent numerical design of the transformer is realized.

The invention provides a design method and system for customized performance detection equipment. A forward design process of the customized performance detection equipment is promoted by a'demand-function-architecture-physics' system engineering modeling method MBSE based on a model; an environment-based design theory EBD is fused, the problem of solving the theory TRIZ and a special large language model LLM into a system engineering process MBSE is solved, so that demand analysis and functional decomposition are carried out, and customized detection demands and complex environment simulation requirements are effectively converted into a complete environment equivalence and index detection function design scheme through a structured method; a multi-physics field coupling simulation module is combined, dynamic simulation of a test process is carried out based on an equipment design scheme, technical parameters are optimized according to a virtual test effect, interaction with actual data in an operation and maintenance stage is carried out by using the same verification module, and a digital twinborn body oriented to equipment full life cycle parameter optimization is constructed.

The present application relates to a kind of bearing capacity calculation methods of space tube plate node, specifically includes the following steps: 1) selection section: selection section under the deformation of space tube plate node in different direction space load;2) assume stiffener rigidity: according to deformation, assume stiffener to be rigid plate;3) propose the calculation model of main pipe deformation resistance;4) hinge support equivalence: according to deformation, two hinge supports are equivalent to single hinge support;5) take half to get ring beam rigidity: obtain the calculation rigidity of circular ring beam;6) calculation, check and verify.The present application compared with prior art is in that: the failure mode of space tube plate node under the action of multi-plane different direction load is described, which fills the gap of bearing capacity calculation method of space tube plate node under the action of multi-plane different direction load.Perfects the design theory system of steel pipe joint, guarantees the reliability and safety of steel pipe structure under external load.

The invention discloses an assembly type pier column stress optimization design method based on a whole process, which mainly comprises the following steps of: determining each stage of the whole process of a pier column, respectively establishing a mechanical analysis model of each stage, and establishing a mechanical analysis model of each stage based on the established mechanical analysis model of each stage; obtaining an internal force index of each section in a hoisting stage, an internal force index of a transportation stage and an internal force index of a service stage; the method comprises the steps of obtaining the worst values of an internal force index in a hoisting stage, an internal force index in a transportation stage and each internal force index in a service stage, fitting the worst values of each internal force index in each stage to form a whole-process internal force envelope diagram, and based on the whole-process internal force envelope diagram, carrying out structure optimization design and checking on the pier column. The theory and practice are closely combined, the hoisting method and the transportation support in the construction technology are directly used as input conditions of design calculation, the design result directly reflects and guides the actual construction operation, the design theory and the construction practice are integrated, and the operability and guidance of the design are enhanced.

The invention relates to the technical field of building engineering construction, and particularly discloses a deformation control method of a large-span beam string structure, which comprises the following steps of: constructing a real initial state three-dimensional data model of the large-span beam string structure, calculating and designing an initial error vector of a theoretical model, constructing a finite element model, and calculating a finite element model of the large-span beam string structure; performing nonlinear analogue simulation on a key construction stage according to a designed construction process by combining the initial error vector, generating an error propagation matrix and an error sensitivity coefficient by adopting Monte Carlo simulation, defining a comprehensive target optimization function to optimize the designed construction process, and performing solution by combining the error propagation matrix and the error sensitivity coefficient, so as to obtain an optimal solution. Generating a compensation control scheme to start a construction process; determining construction analysis steps and defining an analysis step mark value; collecting deviation analysis data for each construction analysis step to carry out deformation deviation judgment; circularly judging whether to trigger updating of the compensation control scheme or not, and judging whether construction is finished or not according to the analysis step mark value, so as to complete intelligent deformation control.