704 results about "Large deformation" patented technology

The embodiment of the invention relates to the technical field of data modeling analysis, and discloses a tunnel rock stratum large deformation analysis method and system based on three-dimensional modeling, and the method comprises the steps: collecting initial three-dimensional point cloud data through three-dimensional laser scanning; constructing an initial three-dimensional geologic model containing spatial morphological characteristics and a rock stratum interface geometric topological relation through space coordinate matching and curved surface reconstruction; finite element unstructured mesh generation is carried out on the model, and a rock stratum mechanical analysis model is established in combination with physical and mechanical parameters; inputting construction parameters and process information, activating unit nodes in sequence, and solving a force balance equation to simulate stress distribution; identifying a potential deformation area through iterative calculation, and adjusting boundary conditions to predict a deformation trend; the three-dimensional space distribution cloud atlas, the time evolution curve and the position marks are fused to generate multi-view deformation early warning information, the accuracy and the visualization degree of tunnel rock stratum deformation analysis are improved, and support is provided for construction safety.

The invention relates to the field of constructional engineering, in particular to a selection method for a hoisting system of a steel box girder and related products, and the selection method comprises the steps that a parameterized mechanical model is established according to parameters of the hoisting system, and hoisting point positions are variable parameters; the hoisting system comprises a steel box girder and a sling; based on the parameterized mechanical model, carrying out stress analysis in the hoisting process, and calculating the stress conditions of the sling and the steel box girder; by taking minimization of the maximum stress of the sling, the maximum stress of the steel box girder or the maximum deformation in the hoisting process as an optimization target, determining an optimal hoisting point position and matched sling parameters by utilizing an optimization algorithm; according to the method, by establishing the parameterized mechanical model of the hoisting system and carrying out nonlinear finite element analysis in the hoisting process, the sling stress, the steel box girder stress and the system deformation under different hoisting point positions and sling parameter combinations can be accurately calculated.

The invention discloses a deep underground engineering large deformation real-time monitoring and control method based on deep learning. The method comprises the steps of deployment of a monitoring system, preprocessing of monitoring data, construction of a neural network model, training of the neural network model, output of a prediction result, generation of a control instruction and quantitative evaluation of a control effect. According to synchronously acquired multi-source information such as surrounding rock strain, temperature, seepage pressure and micro-seismic disturbance energy, a deep learning model based on physical mechanism constraint is introduced, so that the reliability and generalization ability of a prediction result are remarkably improved; intelligent identification of surrounding rock stability assessment and failure modes is realized, a control instruction is automatically generated, and an implementation effect is quantitatively assessed.

The invention belongs to the technical field of weak compressible large deformation of soft materials, provides a dynamic analysis explicit substance point method for large deformation of weak compressible materials, and provides a brand new numerical calculation method for large deformation research of the weak compressible materials. According to the method, a weak-form control equation is discretized in a total Lagrangian substance point method framework, and challenges caused by grid distortion when a traditional method is used for solving a large deformation problem are avoided. Besides, the invention provides a volume self-locking processing technology based on an F-bar method, the problem of volume locking of the weakly compressible substance in numerical simulation can be simply, conveniently and effectively solved, and the volume self-locking processing technology can be conveniently embedded into an existing substance point method program. Meanwhile, a construction method of a smooth kernel interpolation function is developed, and the problem that the solving precision of a traditional substance point method in a boundary region is reduced can be effectively solved. According to the method, the problem of large deformation of the weak compressible material can be solved in a stable and efficient manner, and a new technical path is provided for research and application in related fields.

The invention discloses a deep underground engineering large deformation prevention and control method and system, and relates to the field of underground engineering safety prevention and control, and the method comprises the following steps: arranging a displacement sensor in an underground engineering structure, and obtaining a displacement time sequence; carrying out normalization processing on the displacement time sequence; extracting a displacement change rate sequence of each monitoring point in each time window; taking the displacement change rate sequence of each monitoring point as a feature vector, and performing trend clustering on the monitoring points by adopting a clustering algorithm based on time sequence similarity to obtain a plurality of trend clustering class clusters; and when the number of the monitoring points contained in a certain trend clustering class cluster exceeds a preset proportion threshold value of the total point number and the average displacement change rate of the monitoring points continuously rises in the current time window, identifying an area corresponding to the class cluster as a trend abnormal accumulation area, and outputting early warning information of the area. According to the invention, the problems that the traditional threshold alarm cannot identify the tiny cooperative deformation precursor and the rate of missed alarm and false alarm is high are solved.

The invention discloses a tunnel construction method for a large deformation section of soft rock, and relates to the technical field of tunnel construction for the large deformation section of the soft rock, and the tunnel construction method for the large deformation section of the soft rock comprises the following steps: drilling shallow large-aperture stress release holes and deep small-aperture stress release holes to form a layered release system; differential pressure grouting is conducted around the stress release holes, and a deep reinforcing ring and a shallow coupling ring are formed; a steel frame is erected, and a three-stage stretching locking bottom supporting assembly is installed to form a closed supporting ring; the bottoms of the adjacent steel frames are crossly connected through prestressed pull rods to form an integral rigid grid; a secondary lining is constructed after the longitudinal attenuation conduction period is judged according to the surrounding rock deformation spatial-temporal characteristics; inverted arch first and then arch wall segmented pouring is adopted, and a delayed expanding agent is doped into arch wall concrete. The method can effectively control surrounding rock deformation in the tunnel construction process of the large deformation section of the soft rock, improves the overall rigidity and stability of a supporting system, ensures that the lining is tightly attached to the surrounding rock, and reduces the construction risk.

The invention provides a deep vertical shaft soft rock large deformation comprehensive index evaluation method comprising the following steps: carrying out geological environment analysis on a target area to obtain large deformation influence factors; calculating a large deformation evaluation index according to the large deformation influence factor; constructing a large deformation case database and a machine learning model, and performing risk prediction on the large deformation case database through the machine learning model to obtain a prediction result; dividing the soft rock large deformation grade according to the prediction result and the large deformation evaluation index; and executing different supporting schemes according to the soft rock large deformation grade. According to the method, the rock mass quality grading system is established through the multi-dimensional data and the large deformation evaluation indexes, meanwhile, the soft rock large deformation grade is divided according to the prediction result of the machine learning model on the large deformation case database, the soft rock large deformation prediction precision and the support design scientificity are improved, and the safety and efficiency of the deep vertical shaft project are guaranteed.

An electrically-assisted tooth-shaped rolling process and device for preparing a gradient ultrafine-grained sheet is provided. A rib-forming pressure roller, a rib-flatting pressure roller and a straightening pressure roller are adopted to sequentially roll relative to a surface of a sheet under a preset pressing force. The surface of the sheet is driven, under a rib forming process, to generate large deformation in micro-area to crush and refine grains, and under a rib flatting process to generate reverse large deformation in micro-area. Large deformation areas in the rib forming process and the rib flatting process are staggered to further crush and refine the grains. A cold straightening process drives the sheet to be restored to an original shape, so that the sheet becomes the gradient ultrafine-grained sheet with a decreasing grain size gradient from an interior to a surface layer.

The invention discloses an invasion limit surrounding rock excavation method for a large deformation section of soft rock, and relates to the technical field of invasion limit surrounding rock excavation construction for the large deformation section of the soft rock. The invasion limit surrounding rock excavation method for the large deformation section of the soft rock comprises the steps that refined partitioning of an invasion limit body is achieved through dense scanning and loose circle testing; dividing the invasion limiting body into a core pressure-bearing area and a peripheral stress relaxation area; a main stress diversion arch crossing an invasion limit section is constructed through full-ring radial grouting reinforcement and erection of a strong profile steel temporary cover arch, and effective stress transfer is achieved; the mode of subarea gradual type dismantling and chiseling and instant supporting is adopted, a peripheral stress relaxation area is treated firstly, then a core pressure-bearing area is treated, and surrounding rock disturbance is reduced; the circumferential stress equalization is realized by compensating grouting in stages and dynamically adjusting the grouting pressure according to real-time monitoring data. According to the method, the excavation construction safety of the invasion limit surrounding rock of the large deformation section of the soft rock can be improved, surrounding rock disturbance is reduced, stress distribution is optimized, and the treatment efficiency of the invasion limit surrounding rock is improved.

The invention discloses a soft rock waterproof layer construction method for a soft rock large-deformation section tunnel, and relates to the technical field of soft rock waterproof layer construction of the soft rock large-deformation section tunnel. The construction method of the soft rock waterproof layer for the tunnel at the large deformation section of the soft rock comprises the steps that a sprayed concrete layer is constructed, a full-ring-shaped steel arch frame is erected, system anchor rods are constructed, concrete is sprayed again after full-length grouting is conducted, and a primary supporting layer containing a grouting reinforcing ring is formed; locking anchor pipe grouting is carried out on the arch springing part to form a local reinforced waterproof bearing body; based on deformation monitoring data, dynamic judgment is carried out, and radial reinforcing grouting is carried out on the obvious deformation part; and after deformation is stable, a waterproof layer is laid, a secondary lining is poured, and a composite waterproof system is formed. The waterproof reliability and the structural durability of the soft rock waterproof layer of the tunnel at the large deformation section of the soft rock can be improved.

The present invention provides a method for predicting deformation of plate butt welds based on an inherent strain method. The method comprises: providing a group of plates of the same material with different thicknesses, establishing a welding deformation prediction model based on the plates; obtaining the plate thicknesses, and using the deformation prediction model to obtain the shrinkage of plates of different thicknesses, thereby establishing a curve relationship diagram of the shrinkage and plate thickness under unit inherent strain and regional width; and calculating the shrinkage angle of the plate butt welds based on the curve relationship diagram to determine the maximum deformation of the plate shrinkage. By calculating the shrinkage angle of the plate butt welds based on the curve relationship diagram to determine the maximum deformation of the plate shrinkage, the present invention enables technicians to approximately calculate and predict the maximum deformation of the plate shrinkage caused by welding deformation through the prediction method of the present invention, thereby quickly guiding work in the design and production stages.

The present invention belongs to the field of railway technology, and discloses a slab ballastless track and adjustment method that adapts to foundation deformation, comprising: a base, on which a limiting boss is cast; a prefabricated track plate, a long rectangular hole opened in the middle, and two limiting bosses embedded on both sides of the corresponding long rectangular hole; a cover plate, which covers the long rectangular hole; a stacked height adjustment layer, which is pressed between the base and the prefabricated track plate; a filling adjustment layer, which is pressed between the base and the height adjustment layer; a horizontal adjustment layer, which is pressed between the limiting boss and the long rectangular hole; and a plurality of anti-movement limiting plates, which are installed on two opposite side walls of the prefabricated track plate to prevent the height adjustment layer from moving out laterally. The present invention solves the problem of insufficient deformation adjustment capacity of existing ballastless tracks when the offline foundation undergoes large deformation, and can be applied to the construction of ballastless tracks in complex geological sections and the treatment of defects caused by foundation deformation of operating lines.

According to the low-strength high-formability austenitic stainless steel and the manufacturing method thereof, C + N is controlled to be smaller than or equal to 0.035%, the manganese content is controlled to be within 1.5%, the tin content is limited to be 0.01%-0.30%, the copper content is limited to be 2.4%-4.5%, and the tin-copper ratio is that (Sn / Cu) * 1000 is larger than or equal to 5 and smaller than or equal to 50, so that it is guaranteed that tin exerts the beneficial effects such as the corrosion resistance is improved, and the harm of tin segregation can be controlled to be at the low level; according to the finally obtained austenitic stainless steel, the yield strength is smaller than or equal to 160 Mpa, the tensile strength is smaller than or equal to 500 Mpa, the ductility is larger than or equal to 55%, the grain size grade is 6-8, edge cracks cannot occur during hot rolling, the martensite content of a cup drawing deformation part is 0.05% or below during large deformation machining, in other words, the austenite phase is still stable under the complex deformation condition, deformation cracks are avoided, and the service life of the austenitic stainless steel is prolonged. The comprehensive effects of high corrosion resistance, low strength and high forming machinability of the material are achieved.

The invention belongs to the field of hydraulic engineering, and discloses a physical information network-based intelligent optimization method and system for a three-dimensional structure design of a long-distance water delivery tunnel lining, and the method comprises the steps: S1, building a three-dimensional geometric model of the long-distance water delivery tunnel lining; s2, establishing a structural mechanical analysis physical model considering surrounding rock stress and a construction excavation process; s3, establishing a multi-parameter physical information network model and performing training; and S4, the lining bearing capacity, the maximum deformation and the crack width serve as constraint boundaries, the engineering cost serves as an optimization target, a set of lining structure design parameters is obtained through optimization, and the lining structure design parameters comprise tunnel shape parameters, lining thickness and construction supporting parameters. The method is simple and practical, the lining bearing capacity, the maximum deformation and the crack width can be efficiently and accurately analyzed and calculated according to existing data, inversion optimization of lining structure design parameters is achieved, and the optimal design parameter set is obtained.

The invention discloses an elongation-controllable pre-stressed anchor cable, supporting equipment and a supporting method.The elongation-controllable pre-stressed anchor cable comprises a screw rod, a tray, a taper sleeve, a connecting pipe and a shaft sleeve, the upper end of the connecting pipe is connected with a connecting sleeve II, the lower end of the connecting pipe is connected with a connecting sleeve I, the connecting sleeve I is connected with the screw rod, the tray is installed on the screw rod, and a taper hole is formed in the lower end of the connecting pipe; the upper end of the shaft sleeve is provided with a counter bore used for installing a steel strand, and the lower end of the shaft sleeve penetrates through the connecting sleeve II and the connecting pipe and then is connected with the taper sleeve. The screw rod, the connecting sleeve I, the connecting pipe and the connecting sleeve II are connected into a whole, the taper sleeve and the shaft sleeve are connected into a whole, and when rock mass changes, the taper sleeve and the shaft sleeve slide along the inner wall of the connecting pipe together. When large deformation of surrounding rock occurs, the length of the anchor cable is automatically prolonged through a sliding mechanism between the shaft sleeve and the connecting pipe, the anchor cable is prevented from being broken due to excessive stretching, and the problem that the anchor cable is broken due to large deformation of the surrounding rock of a roadway can be effectively solved.

The invention discloses a TA4-xB alloy and a preparation method thereof, the content of B in the alloy is 0.01-0.5 wt%, and the balance is Ti and other impurities. The preparation method comprises the following steps: dividing sponge titanium and TiB2 wrapped by pure titanium foil into three equal parts, smelting in three times by adopting a vacuum non-consumable arc smelting furnace to obtain three button ingots, then putting the three button ingots into the smelting furnace for secondary smelting to obtain an alloy ingot, and finally overturning and repeatedly smelting the alloy ingot obtained by cooling after secondary smelting for three times. A TA4-xB alloy cast ingot with uniform components is obtained through smelting, the cast ingot is machined through a cast ingot machine and subjected to forging-free direct rolling to form a plate, the rolling temperature is 940 DEG C, the finish rolling temperature is 880 DEG C, five passes of rolling are conducted, the rolling deformation of the first pass is 50% or above, and the accumulative deformation is 90%. According to the method, a proper amount of B element is added, a TiB phase is generated in the TA4 titanium material, grains are refined, and then the mechanical property of the TA4 titanium material is improved through multi-pass large-deformation rolling. The method is low in process cost, short in flow, good in material comprehensive performance and free of large-scale equipment transformation.

The invention belongs to the field of tunnel supporting, and particularly relates to a self-adaptive large-deformation 3D printing tunnel supporting structure and a dynamic adjusting method. In order to solve the problem that the damage risk of the supporting structure is increased due to large deformation in existing tunnel excavation, the supporting structure comprises a plurality of in-situ printed concrete units, grid nodes, a steel cable, a jack and a control system, and the tension of the steel cable can be adjusted through the jack according to data collected by a stress-strain sensor; the concrete arch frame deforms along with the deformation of the tunnel; according to the method, the tension of the steel cable is adjusted according to the real-time monitoring condition of the stress-strain sensor, so that the concrete arch frame is changed, self-adaptive adjustment of the concrete arch frame is achieved, stress balance of the concrete arch frame is achieved, the possibility that the concrete arch frame is damaged is reduced, and the structural integrity of the concrete arch frame is guaranteed.

The utility model relates to the technical field of tunnel engineering, aims at solving the problems that an existing flexible connector is prone to breakage when being impacted, the protection effect is difficult to achieve, the connector and a tunnel lining are prone to being damaged, and potential safety hazards are caused, and provides a tunnel lining self-adaption section flexible connecting structure. Comprising a flexible connector arranged between two adjacent secondary lining sections, and the two ends of the flexible connector are used for being connected with the ends of the secondary lining sections on the two sides of the flexible connector respectively; the flexible connector comprises a framework, the interior of the framework is of a hollow structure, and the framework has rigidity and elasticity and can prevent the framework and a lining from being damaged and adapt to tunnel deformation; the flexible connecting structure disclosed by the utility model has certain rigidity, so that the secondary lining section seam has higher rigidity, and the secondary lining section seam is not easy to break when being subjected to larger earthquake damage or large-scale energy impact; and in addition, high elasticity and restorability are achieved, large deformation can be adapted, and the anti-dislocation capacity of the tunnel structure is improved.

The preparation method of the A1-grade nondestructive inspection high-impact-toughness TC4 titanium alloy large-size bar comprises the steps that a secondary finished product cast ingot is subjected to a multi-heating-number high-temperature single-phase beta-region large-deformation forging process in the cogging stage, and as-cast grains are fully crushed and refined in the modes of axial upsetting, lateral upsetting, diagonal upsetting and the like; then, high-low-high-low repeated forging is conducted at the temperature above and below the phase transformation point, grain homogenization is achieved through high-temperature dynamic recrystallization, an original grain boundary is eliminated, and deformation dead zones of a corner angle area are effectively reduced in combination with multi-heating-number diagonal drawing-out forging; and finally, multi-heating-number forging is conducted in the two-phase region, a heat treatment process is combined, the microstructure form is further optimized, and a lamellar alpha structure is controlled to guarantee the low-temperature impact performance. According to the method, the structure uniformity of the TC4 alloy bar can be remarkably improved, the A1-level nondestructive testing requirement is met, and the method has excellent axial and chordwise mechanical properties and is suitable for ocean equipment and other high-end application fields with strict requirements for the comprehensive performance of materials.

The invention discloses a deep learning-based large deformation prediction method for a high ground stress soft rock tunnel, and belongs to the field of tunnel engineering geological disaster prediction. By constructing a double-branch network architecture of'geological mode identification-deep learning prediction ', accurate prediction of large deformation of the tunnel is realized. The method comprises the following steps: firstly, collecting six qualitative indexes such as a rock mass structure, a weathering degree and an underground water condition and three quantitative indexes such as a strength-stress ratio, support rigidity and an equivalent hole diameter, performing encoding and normalization preprocessing, and respectively inputting the indexes into an upper-layer network and a lower-layer network; outputting probability distribution of six types of modes prone to large deformation, such as a weak homogeneous type mode and a block crack structure type mode; and the lower layer predicts the deformation and divides risk levels through a full-connection neural network based on the geological mode identification result and the quantitative index. According to the method, the complex coupling mechanism of large deformation of the high-crustal-stress soft rock tunnel can be fully reflected; adaptability prediction is realized for different geological modes.

The application discloses a process method for improving toughness of X70 anti-large-deformation pipeline steel, and ideal mechanical properties and organizational morphology are obtained through control of components, continuous casting, heating, rolling, cooling and other processes, finally, the organizational morphology of 70-80% ferrite and hard phase components such as bainite and martensite is obtained, the uniform elongation and toughness of the pipeline steel are improved, the yield strength ratio is low, and the deformation resistance and anti-large-deformation capacity are improved. The X70 anti-large-deformation pipeline steel plate has a Charpy impact toughness of 350 J or more at-20 DEG C, a drop hammer shearing area of 95% or more, a yield strength of 480-550 MPa, a tensile strength of 600-680 MPa, a yield strength ratio of 0.78 or less, a UEL of 12% or more, and a R t1.5 / R t0.5 of 1.15 or more. The product is widely applied to pipeline engineering prone to large plastic deformation such as ground slip deformation in earthquake-prone areas, ground liquefaction settlement caused by permafrost and submarine pipeline laying.

The invention discloses a side face direct-insertion wiring terminal block structure and an elastic piece simulation design method of the side face direct-insertion wiring terminal block structure. Comprising an insulating shell, a conducting strip, a first elastic piece, a second elastic piece and a push block abutting against the elastic pieces, a wire can be inserted along the side face and clamped by a wire clamping block, and electricity conduction and disengagement prevention are achieved; the elastic piece is made of a metal material with resilience, and the elastic piece is bent to form a mounting part and a camber beam structure so as to provide stable clamping force. In order to optimize the performance of the elastic sheet, a simulation design method is adopted to establish an elastic sheet finite element model, set material attributes and constraint and loading conditions, carry out mesh refinement on a bending area and a wire clamping opening, start large deformation analysis and draw a force-displacement curve, so that the equivalent stiffness, the maximum stress and the deformation of the elastic sheet are obtained. Through simulation comparison of different design schemes, the optimal structure meeting the strength and resilience requirements can be determined. According to the invention, the stable conduction of the side plugging terminal and the predictable design of the performance of the elastic sheet are realized, and the assembly reliability and the design efficiency are improved.

A tertiary cooperative compression yielding and energy-absorbing support mechanism. The compression yielding and energy-absorbing anchor cables play a basic support role, and the circumferential compression yielding device can make the primary support compression yielding arch frame have a constant resistance deformation in the circumferential direction, while the primary support compression yielding arch frame and the secondary lining steel arch frame have a relative dislocation movement in the radial compression yielding device, and the tertiary compression yielding and energy-absorbing structures are cooperated with each other to adapt to the over-meter large deformation movement of the surrounding rock.

The invention relates to the technical field of large-deformation displacement meters, in particular to a resistance strain type sensitive element for a large-deformation displacement meter and application of the resistance strain type sensitive element. The structure of an elastic sensitive part is optimized, and a first arc-shaped section and a second arc-shaped section can be used for buffering when the elastic sensitive part is impacted in the testing process; the impact resistance, vibration resistance and stability of the elastic sensitive part are improved, so that the service life is prolonged, meanwhile, the resistance strain sensitive element for the large-deformation displacement meter adopts a full-sealed structure, and the influence of the external environment on the test precision is further reduced; the structure of the resistance strain gauges is optimized, the resistance strain gauges are arranged on the upper side and the lower side of the straight section to form a full-bridge circuit, the consistency of strain changes in the pulling direction and the pressing direction when the elastic sensitive part is stressed is ensured, and the consistency of output in the pulling direction and the pressing direction is improved; meanwhile, the zero setting grid is additionally arranged, so that the zero point output performance of the resistance strain type sensitive element for the large-deformation displacement meter can be compensated, and the influence of external environment change on the test precision is reduced.

The invention relates to the technical field of deep surrounding rock large deformation prediction, and particularly discloses a deep surrounding rock large deformation rapid prediction method and system based on a PCA algorithm, and the method comprises the steps: selecting a prediction index from a plurality of indexes affecting surrounding rock deformation; obtaining the measured value of each prediction index and the corresponding maximum relative deformation according to the prediction indexes, and taking the measured value and the corresponding maximum relative deformation as a data set; extracting a principal component vector from the measured value of each prediction index through a principal component analysis algorithm, and constructing a deformation prediction model in combination with a corresponding principal component coefficient; performing least square regression modeling on the deformation prediction model by using the data set, determining the principal component coefficient, and obtaining a trained deformation prediction model; and performing deformation prediction on a to-be-predicted item according to the trained deformation prediction model. According to the method, historical data of a large deformation project can be fully utilized, multiple indexes are comprehensively considered, the weight of each index does not depend on artificial subjective judgment, and the accuracy of large deformation prediction is greatly improved.

The present invention provides a harmonic reduction mechanism, a harmonic speed reducer, and a robot, wherein the harmonic reduction mechanism includes a flexspline, a rigid pulley, and a wave generator, wherein the flexspline is sleeved on the wave generator, and the rigid pulley is sleeved on the flexspline and meshes with the flexspline; the reduction ratio of the harmonic reduction mechanism is i, the maximum deformation of the wave generator is ω0, and the modulus of the flexspline is m; wherein a*i+b≤ω0 / m≤a*i+c, a∈[0.002,0.004], b∈[0.6,0.7], c∈[0.8,1], and ω0 and m are both in millimeters; when ω0<m, the flexspline and the rigid pulley mesh without backlash; and when ω0>m, the flexspline and the rigid pulley mesh without interference. According to the technical solution of the present invention, it can be ensured that under different reduction ratios, the flexspline has both good meshing quality and is not easily damaged.

The invention provides a grouting support reinforcement method and system for a gob-side entry retaining large-deformation roadway, and relates to the technical field of coal mine roadway surrounding rock control and grouting reinforcement. According to the method, mining-induced stress and deformation characteristics are analyzed by constructing a numerical simulation model, a plastic zone range is recorded in combination with a monitoring section, and a reinforcement area and grouting opportunity are determined based on dynamic weight evaluation; and according to the height of the plastic zone and the integrity of the surrounding rock, the drill hole arrangement is designed in a self-adaptive mode, the grouting pressure and the grout dosage are calculated, the termination condition is controlled according to the pressure and flow change in the grouting process, and accurate and reliable reinforcement of the large-deformation roadway surrounding rock is achieved.

The invention discloses a nine-axis linkage intelligent welding process optimization method based on analogue simulation and digital twinning. An existing welding process mostly depends on artificial experience and single equipment control, and an integrated processing system of simulation prediction, equipment cooperation, virtual-real linkage and iterative optimization is lacked. According to the nine-axis linkage intelligent welding process optimization method, a platform is built based on simulation software, after a three-dimensional model of a to-be-welded component is built, the three-dimensional model of the to-be-welded component is subjected to multi-physics field coupling simulation processing to obtain welding data, the welding data is input into an AI multi-target optimization algorithm to form a simulation data training model, and the simulation data training model is used for training the to-be-welded component. Screening according to the simulation data training model to obtain a processing process of an optimal welding sequence and process parameters; through deep integration of intelligent equipment integration, technological process simulation optimization and digital twin control, the problems of low efficiency, poor quality and large deformation in a traditional manufacturing mode are systematically solved.

The invention relates to a foundation pit deformation control method based on a TabPFN model and a supporting axial force servo system, and the method comprises the steps: S1, constructing a servo supporting-wall deformation data set through a servo supporting data simulation module according to the servo supporting force of the supporting axial force servo system and wall deformation response data; s2, a deformation prediction agent model module constructs and optimizes a TabPFN model, the deformation prediction agent model rapidly predicts wall deformation caused by foundation pit excavation according to the input servo supporting force, and a wall deformation prediction result is obtained; and S3, a cross-stage multi-objective optimization module constructs a multi-objective optimization framework fused with a differential evolution algorithm, sets a plurality of objectives, inputs the wall deformation prediction result obtained in the step S2 into the multi-objective optimization framework, and collaboratively optimizes wall maximum deformation control and servo force unloading risks to obtain a global optimal combination. The method is a multi-stage and multi-target servo support optimization control method oriented to foundation pit engineering.

The invention discloses a modification method for improving oxidation resistance of a high-entropy alloy. The modification method comprises the following steps: S1, carrying out solution treatment and oil cooling on an as-cast high-entropy alloy; s2, the high-entropy alloy subjected to oil cooling is cut, surface oxide skin is removed, and a metal sample is obtained; and S3, the metal sample is subjected to large-deformation cold rolling treatment. According to the method, dendritic structures in the as-cast alloy are eliminated through solution treatment, then the solid-solution-state high-entropy alloy is subjected to multi-pass rolling, the total deformation is 60%-90%, and the oxidation resistance of the high-entropy alloy can be greatly improved. The method is reasonable in design and easy to operate, and the oxidation resistance of the high-entropy alloy is well improved.