23 results about "Steel design" patented technology

The invention discloses a machine learning guidance laser forming ultrahigh strength and toughness steel design method based on fusion of physical and chemical characteristics, which combines the physical and chemical characteristics with Shapley additive interpretation and analysis, and overcomes the limitation that a traditional pure data driving model lacks theoretical support. The quantitative analysis of the influence between the input characteristics and the output performance is realized, the internal association between the physical and chemical characteristics and the material strengthening and toughening theoretical mechanism is disclosed, the contribution degree and the interaction effect of each alloy element and the heat treatment process parameters are determined, the theoretical basis of variable screening is provided for multi-objective optimization, and the optimization efficiency is improved. Therefore, the efficiency of obtaining the non-dominated solution set is remarkably improved. According to the method, the physical and chemical characteristic combination can be conveniently and rapidly determined, the relation between the input characteristic and the output performance can be quantified, and optimal design of the laser forming ultrahigh strength and toughness steel alloy components and the heat treatment process is achieved.

The invention belongs to the technical field of bridge steel structure design, and discloses a method and system for determining the arrangement positions of multiple longitudinal stiffening ribs of a steel bridge web, and the method comprises the steps that constraint of a steel top plate, a steel bottom plate and two transverse stiffening ribs on a mother plate is simply supported; dividing the stiffening plate into four-side simply supported sub-grids according to the longitudinal stiffening ribs, calculating bending and shearing buckling coefficients and obtaining critical buckling stress; a bending and buckling coefficient is expressed as a function of a clear distance between longitudinal stiffening ribs based on geometric similarity; and adopting a bending and shearing interaction buckling criterion, recursively solving the position of each longitudinal stiffening rib from a pressed edge, and carrying out constraint screening according to monotonically increasing distance, arrangement not crossing a neutral axis and the like. According to the method, reasonable arrangement can be directly output, and design consistency and efficiency are improved.

An improved multi-target regression algorithm based on target specific features is combined with a non-dominated sorting genetic algorithm to construct a double-layer structure multi-target algorithm, so that the problems of data distortion possibly caused by data enhancement, poor feature engineering generalization ability, negative migration caused by large inter-domain difference and the like are avoided, and the method is suitable for large-scale popularization and application. By capturing the correlation among a plurality of output targets, a high-precision model for a high-dimensional small data set is constructed, and the machine learning assisted hot-rolled ultrahigh-toughness steel component and process design with low data set cost is realized.

The invention discloses a construction method, device and equipment of an assembly type steel structure building and a storage medium, and relates to the technical field of assembly type buildings. The method comprises the steps that in response to a construction instruction of a target building, construction information parameters of the target building are determined, and a reference steel structure design model matched with the target building is determined from a pre-stored structure design model library according to the construction information parameters; determining a target steel structure design model matched with the target building based on the reference steel structure design model; generating a building information model matched with the target building according to the target steel structure design model, generating component manufacturing data based on the building information model and the building information parameters, and converting the component manufacturing data into processing control data; and processing the structural material based on the processing control data to obtain prefabricated parts, and assembling the prefabricated parts on the construction site to obtain a target building. According to the scheme, the design efficiency, the material utilization rate and the construction precision can be improved.

The utility model provides a stainless steel integral ventilation pipeline air shower structure, which relates to the technical field of air showers and comprises an air shower, a top bin, an air supply bin and an air shower channel. Air supply assemblies for blowing air into the air shower channel are arranged in the two air supply bins; each air supply assembly comprises a fan box, a main air supply pipe, a plurality of groups of air outlets and a telescopic air pipe; according to the design, stainless steel design is adopted as a whole, transportation is convenient, deformation is not prone to happening, the service life is long, the heat dissipation effect is good, the heat dissipation effect is good, the heat dissipation effect is good, and the heat dissipation effect is good. The whole air shower is provided with the face recognition access control machine, the electric door and the infrared sensor, the electric door can be opened through face recognition and automatically closed in cooperation with human body sensing, manual operation of workers is omitted, intelligence is high, in addition, a plurality of transverse air blowing and vertical air blowing are formed in the air shower channel, and the air shower is more intelligent. And dust on the body of a worker can be conveniently blown away.

This utility model discloses a precision mold with a built-in venting insert, including an upper mold base, a lower mold base, a cavity located at the bottom of the upper mold base, and a core located at the top of the lower mold base. A split venting insert is embedded in the melt end region of the core. The venting insert is composed of at least two layers of permeable steel stacked and fixed along the thickness direction. The pore diameter of the upper layer of permeable steel is smaller than that of the lower layer. The venting insert has an internal venting channel penetrating through the multiple layers of permeable steel, with one end extending to the molding surface of the venting insert and the other end connected to a venting interface on the mold sidewall. The multi-layer permeable steel design, combined with a spiral guide groove, uses small pores in the upper layer to prevent melt overflow and large pores in the lower layer to accelerate venting. Combined with the spiral guide for efficient venting, this significantly reduces defects such as bubbles and depressions in the plastic part, and significantly improves molding quality.

The application belongs to the technical field of CrMo high strength and toughness steel design, and discloses a design method of CrMo high strength and toughness steel based on atomic physical feature coupling machine learning and a preparation method thereof. By introducing atomic scale physical and chemical features (especially "weighted variance" features) as key inputs of machine learning, the application accurately designs a CrMo alloy steel which still maintains excellent plasticity under ultrahigh strength (>1400MPa) or maintains high strength under high toughness. The application first introduces atomic physical and chemical feature parameters such as "ionization energy variance" into steel design, reveals the strengthening mechanism at the electron level, avoids blind component trial and error, and significantly reduces the research and development cost.

The utility model relates to the technical field of photovoltaic support assemblies, and discloses a photovoltaic support C-shaped steel, which comprises a fixed steel mechanism, the fixed steel mechanism comprises a first C-shaped steel bar, and a limiting steel bar is fixedly connected below the inner side wall of the first C-shaped steel bar and located at each of the front end and the rear end of a notch. The two ends in the first C-shaped steel bar are each provided with a movable steel mechanism, and each movable steel mechanism comprises a U-shaped steel bar connected into the first C-shaped steel bar in a sliding mode. According to the utility model, a combined photovoltaic support C-shaped steel structure design is adopted as a whole, the whole photovoltaic support C-shaped steel structure comprises a fixed steel structure and two movable steel structures, and the two movable steel structures are slidably installed in the fixed steel structure in an embedded manner. And the two movable steel structures are provided with self-locking structures between the two movable steel structures and the fixed steel structure in a matched manner, so that the length of the whole photovoltaic bracket C-shaped steel can be reliably and conveniently adjusted, and the length can be quickly adjusted and matched according to different mounting length requirements, so that the photovoltaic bracket C-shaped steel is relatively convenient.

The present application relates to a kind of moisture-proof high-strength corrugated paperboard and its preparation method, belong to packaging material technical field.The paperboard is by surface layer, first corrugated layer, intermediate flat layer, second corrugated layer and inner layer sequentially composite;First corrugated layer is A type corrugation, and the height of herringbone is 4.5-5.5 mm;Second corrugated layer is B type corrugation, and the height of herringbone is 2.5-3.2 mm;Surface layer and inner layer surface are coated with waste protein-based modified sizing agent layer.Preparation method includes: preparation waste protein-based modified sizing agent and biomass adhesive;Each layer base paper is compounded by biomass adhesive, and paperboard blank is obtained by drying under negative pressure;Again, surface sizing, drying are obtained.The present application is by "A herringbone, flat layer, B herringbone" I-shaped steel structure design, in combination with waste protein resource utilization of environmental protection sizing agent, and low-temperature negative pressure compounding process, so that paperboard has excellent moisture-proof performance and high-strength characteristics, simultaneously realizes clean production.

The invention relates to the technical field of power transmission line engineering foundation construction, in particular to a PHC tubular pile and power transmission tower foot self-locking all-steel connecting device which comprises a self-locking connector serving as a connecting component with a power transmission tower foot and used for transmitting load of a power transmission tower to a pile top end plate; the pile top end plate is pre-buried at the pile top of the PHC pipe pile and serves as a connecting foundation between the pipe pile and the self-locking type connector; the self-locking device is connected between the self-locking connector and the pile top end plate and used for achieving butt joint and locking of the self-locking connector and the pile top end plate. The self-locking type connector is composed of a connector top plate, a connector inner cylinder, a rib plate and a connector bottom plate which are connected into a whole in a welded mode. The self-locking device is composed of a connecting pin, a self-locking block, a pressure spring and a groove shell. Through the design of the self-locking device and the all-steel structure, rapid, reliable and efficient connection between the PHC pipe pile and the tower foot of the power transmission tower is achieved, and the problems that in the prior art, the construction efficiency is low, and the tension bearing capacity is insufficient are effectively solved.

The invention provides a modular super high-rise building steel structure design method, and belongs to the technical field of building design. According to the method, firstly, format normalization processing is carried out on an existing geometric parameter data set, a data set is constructed, and on the basis, the strength of each connection node is calculated; meanwhile, performing parameterization on each geometric configuration by utilizing a trained condition model, and then performing multiple characterization; and constructing a geometric configuration-design parameter corresponding relation by using the multi-representation data and the structural strength data. And training the constructed classification diffusion model according to the corresponding relation, inputting given construction data to obtain primary design data, and correcting by using specified data to obtain a final design scheme. According to the method, a machine learning scheme is introduced, model parameters are adjusted through data to optimize prediction performance, and then a parameterized design scheme is represented and optimized. By applying the method, the design precision and the design efficiency can be remarkably improved, and the correction frequency and the error rate are reduced.

The invention relates to a multi-objective optimization hot work die steel design method, belongs to the technical field of ferrous metallurgy, and solves the technical problem of limitation of single-objective optimization in the prior art. The multi-objective optimization hot work die steel design method comprises the steps that 1, data of hot work die steel are collected, null value filling is carried out, and an original data set is formed; 2, performing feature screening to form an initial data set; step 3, carrying out normalization processing on the characteristic values; 4, selecting a plurality of machine learning algorithms to perform model training; step 5, evaluating each model, and selecting a machine learning algorithm with an optimal training effect from the models so as to obtain a prediction model; step 6, performing multi-objective optimization by using an NSGA-II genetic algorithm to obtain multiple groups of optimal solutions; and step 7, determining components and heat treatment process parameters of the hot work die steel. Various optimization schemes are provided for material design, and different engineering requirements can be met.

The invention relates to the technical field of duplex stainless steel design, and provides duplex stainless steel and a duplex stainless steel design method based on machine learning, the design method comprises the following steps: step 1, obtaining data of the duplex stainless steel, forming a database, and dividing into a training set, a verification set and a test set; 2, carrying out feature engineering based on the database formed in the step 1, and calculating a chromium equivalent, a nickel equivalent and a pitting corrosion resistance equivalent; step 3, establishing a yield strength prediction model by using a machine learning model, and training by using the training set data; 4, evaluating the trained final yield strength prediction model by using the test set; and 5, taking the trained yield strength prediction model as a target function, and performing global optimization in a multi-dimensional component space by adopting a non-dominated sorting genetic algorithm to obtain duplex stainless steel candidate components. According to the method, the accuracy and efficiency of component design of the high-toughness duplex stainless steel can be improved.

The grid structure applied to the photovoltaic support comprises: a two-dimensional truss composed of upper chords, lower chords and multiple groups of web members, the upper chords and the lower chords are arranged in parallel at intervals, and the multiple groups of web members are connected between the upper chords and the lower chords; two groups of two-dimensional trusses are arranged at intervals along the east-west direction and are fixedly connected through support beams; purlins, multiple groups of purlins are arranged on the top side of the upper chords of the two groups of two-dimensional trusses and are arranged perpendicularly to the two-dimensional trusses; diagonal braces, multiple groups of diagonal braces are arranged on the bottom side of the upper chords of the two groups of two-dimensional trusses and are arranged obliquely to the two-dimensional trusses; coupling braces, one end of the multiple groups of coupling braces is connected to the lower chords of the two-dimensional trusses, the other end is connected to the bottom side of the purlins, and the coupling braces are arranged obliquely to the two-dimensional trusses and the purlins. The scheme can realize large span, the length and span can easily reach more than twice of the ordinary C-shaped steel design. It is used for building photovoltaic on the ground of agriculture, fishpond, etc., the number of columns is small, the height of the support is high, so the space is large, which is beneficial to the increase of agricultural and fishery income and the work efficiency of agriculture and fishery.

The utility model discloses a brushless direct drive angle grinder rotor, comprising a motor shaft, a rotor punching sheet and two axial fixing sleeves, the rotor punching sheet is sleeved on the periphery of the motor shaft, the periphery of the rotor punching sheet is provided with a plurality of magnetic steels which are distributed in an annular array by taking the motor shaft as a center, and the two axial fixing sleeves are fixed on the motor shaft. And the axial fixing sleeve is sleeved on the periphery of the motor shaft, is respectively clamped with the two axial ends of the magnetic steel, and is used for locking the magnetic steel. The utility model further discloses a brushless direct-drive angle grinder motor. According to the motor rotor structure, the exposed magnetic steel design is adopted, a plurality of magnetic steel sheets are directly fixed to form the periphery of the rotor through the rotor punching sheets and the axial fixing sleeve, redundant shells are replaced, the gap between the periphery of the rotor and the inner periphery of the stator can be reduced as much as possible, the rotor and the stator are close to each other as much as possible, and the service life of the rotor is prolonged. Therefore, the torque upper limit of the rotor is effectively improved.

This utility model discloses a novel construction platform structure for cable-stayed bridge installation. The structure includes a load-bearing unit, a support unit, and embedded parts. The support unit is located at the bottom of the load-bearing unit, and the embedded parts are pre-embedded within the tower crown of the cable-stayed bridge. Two support units are symmetrically arranged on the tower crown via the embedded parts. By adopting an all-steel structure design, and through a grid-like welded load-bearing surface, fully penetrated nodes, and a multi-dimensional support system, a rigid overall structure is formed, exhibiting strong resistance to deformation. It can withstand concentrated loads (such as winches and tensioning equipment) and uniformly distributed loads (personnel and materials), adapting to the heavy-load requirements of cable-stayed bridge installation. The modular prefabrication design (load-bearing and support units can be assembled on the ground) reduces the amount of high-altitude work. By pre-fixing the embedded parts to the tower crown and combining this with the overall hoisting process, the on-site installation time is significantly shortened, resulting in a shorter construction period compared to traditional scaffolding platforms.

This invention relates to the field of steel structure design technology and discloses a method for generating a hyperbolic steel cooling tower model, comprising: determining the generatrix equation of the hyperbolic steel cooling tower shape; determining the inner and outer main truss nodes using a combination of numerical and graphical methods; determining the tower body members of the steel cooling tower using a combination of numerical and graphical methods, thereby obtaining the tower body model; determining the expansion platform members of the hyperbolic steel cooling tower using a combination of numerical and graphical methods; and determining the reinforcing ring members of the hyperbolic steel cooling tower using a combination of numerical and graphical methods. This application's technical solution proposes a novel method that utilizes a combination of numerical and graphical methods to simply, quickly, and conveniently generate the nodes and members of a hyperbolic steel cooling tower model, significantly improving design speed, significantly shortening the design period, significantly improving design efficiency, and significantly reducing time and labor costs, facilitating further design optimization work.

The application provides a large-span steel truss free jig slip installation method, which is characterized in that: in the meanwhile of deepening the design of the steel structure, the structural form, installation method and the like of the large-span steel truss structure are modeled, deduced and analyzed to determine a reasonable slip working condition, the arch truss span and truss member arrangement are preliminarily determined according to the deduction result; the standardization and the type of the arch truss are determined according to the calculation result; after the installation of the arch truss is completed, the lower hanging slip track is installed, and the pre-arching value is determined according to the truss corridor hoisting deduction and deformation calculation to adjust the track elevation; after the installation of the arch truss, the slip track, the steel truss assembly and the slip platform is completed, the steel truss assembly slips; after the steel truss structure is slipped into position, the arch truss is removed in sections, and the subsequent construction can be continued. The application solves the problem that the conventional hoisting mode cannot meet the installation requirement of the large-span steel truss under the condition that the jig cannot be set at the lower part or the heavy load crane cannot be erected during the hoisting process of the large-span steel truss structure under the specific working condition.

The application discloses a virtual assembling method for steel structure engineering, and comprises the following steps: manufacturing each steel member according to a steel structure design drawing, selecting a key structural node on the manufactured steel member and marking, and placing the manufactured steel member according to a boundary condition when assembling; manufacturing each steel member according to a steel structure design drawing, selecting a key structural node on the manufactured steel member and marking, and placing the manufactured steel member according to a boundary condition when assembling; superimposing a coordinate origin of a three-dimensional model of the steel member and a coordinate origin of a real object, and obtaining manufacturing errors of each structural feature point of the steel member. Compared with the prior art, in the application, the coordinate origin Y n of the manufactured steel member is calculated through a constraint point, then the coordinate origin Y n of the steel member three-dimensional model and the real object is taken as a coordinate system origin, and the manufacturing errors of each structural feature point of the nth steel member are calculated.

The application provides an ultrasonic-based assembled steel structure beam-column connection performance monitoring method, and relates to the technical field of performance monitoring. The method comprises the following steps: restoring the steel structure design information of a target building through BIM technology modeling, extracting connection node parameters, and classifying the nodes using a node importance evaluation model. Based on the stress conduction fitting results, M beam-column connection monitoring trees are constructed. A pre-constructed mechanical monitoring and early warning device and a performance fault identifier are used to monitor the performance of the top connection node in real time and locate the fault node. This process improves monitoring efficiency and structural safety. The application can solve the technical problems of the prior art, such as the lack of effective information integration and modeling methods, the inability to differentiate monitoring of different nodes, the differences between design information and actual construction, the reduction of efficiency, and the further impact on structural safety. The application improves the accuracy, real-time performance and efficiency of beam-column connection node performance monitoring in assembled steel structure buildings.

According to the low-cost high-corrosion-resistance wind power steel designed based on the first principle and the preparation method, the first principle density functional theory is adopted for verifying the corrosion resistance strengthening mechanism of the synergistic effect of Ce and Nb in a Fe-C matrix, and through reduction of unit cell total energy, increase of a pseudo energy gap and reduction of a state density peak abscissa, the corrosion resistance of the Fe-C matrix is improved; the Ce-Nb microalloy system has the effects of improving the stability and covalence of the alloy and reducing the electron migration trend. The steel for wind power comprises, by mass, 0.06%-0.16% of C, 1.20%-1.50% of Mn, 0.20%-0.40% of S , 0.01%-0.04% of Nb, 0.001%-0.005% of Ce and the balance iron and impurities, and the finished steel product is obtained through vacuum melting, two-stage hot rolling and air cooling. High-cost alloy elements such as Cr and Ni do not need to be used, the process is simple, and excellent corrosion resistance and high strength and toughness are achieved.

The application provides a steel structure embedded part positioning method, medium and system, belongs to steel structure embedded part positioning technical field, belong to, according to the given steel structure design drawing, the scheme first constructs three-dimensional digital model, including the geometric dimension and position information of main beam, secondary beam, column and other components. Then, the overall stress analysis of BIM model is carried out by using finite element analysis software, and the stress and strain distribution of each component is determined. Based on this, the installation position of the embedded part is preliminarily determined, and the embedded part position matrix is formed. Through finite element analysis, the main factors affecting the positioning accuracy of the embedded part are analyzed, including structural deformation, temperature change, construction error and the like. Combined with the stress condition of the embedded part and the influence on the steel structure, a double-target game model is established, and multiple alternative embedded part position matrices are obtained. Finally, the genetic algorithm is used to optimize these schemes, and the optimal embedded part position matrix is obtained and output.

This invention relates to the field of Building Information Modeling (BIM) and intelligent design technology, and provides a method and system for collaborative design of bridge steel structures based on BIM technology. The method includes: acquiring multiple bridge steel structure BIM models and their design parameter vectors, structural topology diagrams, and collaborative design data vectors from a BIM database; constructing a structural feature extraction model by training a BIM structural encoder model, calculating the similarity between models, and retrieving similar models; establishing a BIM data fusion model, training it by combining the design parameter vectors of the target model and the collaborative design data vectors of its similar models to obtain a collaborative design prediction model; for the model to be collaboratively designed, first retrieving similar models, and then generating collaborative design data through the prediction model based on its design parameters and the collaborative data of similar models. This invention can achieve intelligent collaborative optimization of bridge steel structure design, improve design efficiency and accuracy, and reduce manual intervention and repetitive work.