26 results about "Loading rate" patented technology

The invention provides a high earth and rockfill dam core wall pore water pressure test method, and belongs to the technical field of indoor soil mechanics tests. According to the method, the structure of a traditional compression consolidation apparatus is improved, a sealing steel barrel which is provided with a double-layer sealing ring and can lead out a wire harness is adopted, and a high-precision osmometer, a soil pressure meter and a high-frequency data acquisition system are combined, so that the compression consolidation apparatus can be fully sealed under the conditions of complete sealing and high pressure; and the generation and change rule of pore water pressure in the filling process of the core wall of the high earth-rock dam can be accurately simulated. The method comprises the steps of soil sample preparation, saturation treatment, instrument burying, graded loading, data acquisition and the like, and can be used for researching the influence of different water contents, loading rates and clay content on the pore water pressure. Test results show that the method can still keep good sealing and data stability under the condition of 5 MPa high pressure, has high precision, high repeatability and high reliability, and can provide scientific basis for high earth and rockfill dam core wall design and construction safety.

The application discloses a reinforced concrete beam bending stiffness dynamic evaluation detection method, and particularly relates to the stiffness detection test field, which comprises the following steps: S1, arrangement processing, pretreatment of the test piece and arrangement of the support; S2, loading processing, a loading system and a monitoring module; S3, setting processing; S4, grading processing, grading stable loading and real-time collection of dynamic data; S5, correction; S6, calculation processing; S7, verification, verification of the stiffness stability and drawing of a three-dimensional dynamic evaluation atlas; and S8, detection report processing. The application precisely sets and strictly adapts the loading rate, the deviation allowable value and the load regression time to the environmental temperature, dynamically adjusts the allowable range of the load fluctuation, effectively suppresses the temperature sensitivity of the hydraulic system, achieves higher evaluation detection precision, and solves the problems of unstable loading rate, intensified load fluctuation and difficult achievement of higher evaluation detection precision.

This invention proposes a method for testing the compressive strength of carbonized seawater sand concrete, comprising: preparing seawater sand concrete specimens and carbonizing them until fully carbonized; preloading and then unloading the specimens on a testing machine, followed by displacement-controlled loading; collecting data through strain gauges during the ascending phase, and switching to a displacement extensometer to collect deformation during the descending phase when the load reaches 70-80% of the peak load, while simultaneously reducing the loading rate until the specimen is completely destroyed; performing dimensionless processing on the two data segments, and using a two-segment model of polynomial ascending phase and rational fractional descending phase for least squares fitting to construct a full-curve constitutive relationship, effectively solving the data discontinuity problem caused by strain gauge detachment during the descending phase of highly brittle materials; the obtained model has a high goodness of fit and the physical meaning of the parameters is clear.

The invention discloses a buried pipeline visual test system and method for simulating a differential load effect, and belongs to the technical field of geotechnical engineering. The soil body model is filled in the test soil body container, and a test pipeline model is buried in the soil body model; the difference loading device is fixed above the upper sealing cover of the test soil body container, the difference loading device comprises a first servo electric cylinder and a second servo electric cylinder, and loading rods of the first servo electric cylinder and the second servo electric cylinder penetrate through a preset hole channel of the upper sealing cover to act on the lower soil body and the test pipeline model; the first servo electric cylinder and the second servo electric cylinder are different in specification, and the loading rate is independent and controllable; and the monitoring and data acquisition system comprises a stress sensor, a strain sensor and a pore water pressure sensor which are buried in the soil body model, and a pressure sensor and a displacement sensor which are arranged around the test pipeline model. According to the invention, the actual stress condition of the buried pipeline in the actual working condition can be better simulated.

The application discloses a detection device and method for cement mortar strength detection, and relates to the technical field of mechanical sensing detection. The detection device for cement mortar strength detection comprises a detection box, the detection box is fixedly connected with a mounting frame, the mounting frame is fixedly connected with a press, the loading head of the press is in contact with the middle part of a cement mortar sample, a plurality of sliding blocks are placed in the mounting frame, and a first spring is placed between adjacent sliding blocks and between the mounting frame and adjacent sliding blocks. In the loading process, the stress distribution change of the test piece in the stress process is monitored and recorded in real time through the uniformly distributed mechanical sensors, the change law of the internal stress of the material is understood by researchers, instant feedback in the loading process is provided, the loading rate can be ensured to meet the standard requirements, and the test result is prevented from being affected when any non-uniform loading is detected.

The application discloses a kind of solidified sulphate saline soil bricks prepared by using constraint process, belongs to traffic engineering field.Its characteristics are: the preparation material of brick body includes soil body, solidifying agent, water;Soil body is sulphate saline soil with salt content of 1-50%, solidifying agent is composed of expansion component and cementing component, use the material that is fast hydration and generates expansion hydrate with soil sulfate ion as expansion component, use the material of slow hydration rate type as cementing component;Control the water content of sulphate saline soil and the water-cement ratio of solidifying agent, mix solidifying agent and sulphate saline soil uniformly and fill in brick mould and carry out compaction densification treatment, loading rate is 0.5-2.5cm / min, when peak load reaches 5-30MPa, keep the displacement of pressing plate fixed so that the brick body is constrained in mould, according to the specific material composition of solidifying agent, the brick body is removed from mould after curing 1-3 days under constraint condition and standard curing is carried out to 28 days to obtain solidified sulphate saline soil brick with high strength and good durability.

The invention belongs to the technical field of prestressed pipe pile end testing, provides prestressed pipe pile end bearing capacity testing equipment, aims to solve the problems of misjudgment and influence on engineering safety caused by violation of the loading rate of an existing static load test, and provides the prestressed pipe pile end bearing capacity testing equipment. Comprising a stress misjudgment risk interval identification module for acquiring a real-time stress loading rate, identifying overspeed rate times, clustering and analyzing an overspeed rate interval, and identifying a risk interval by using a random forest in combination with historical cases; the bearing capacity hysteresis deformation output module is used for predicting the deformation of the current risk interval by using multiple linear regression in combination with historical cases; and the bearing capacity lagging deformation revision module verifies the deformation matching, determines and verifies a correction coefficient, and revises the current deformation.

The application discloses a method for detecting single-particle crushing characteristics of steel slag, and relates to the technical field of solid waste material particle detection, and is based on the influence of morphological effect on the single-particle crushing strength of steel slag. The single-particle crushing detection of steel slag is carried out under different loading rates and set quantitative morphological conditions, the single-particle crushing mode and crushing energy are obtained, the crushing strength of the particle is analyzed by using the Weibull distribution, and the influence of the morphological effect and the external loading rate on the single-particle crushing of steel slag is analyzed by using fitting discreteness. The method for detecting single-particle crushing characteristics of steel slag provides theoretical guidance and technical support for whether the single-particle of steel slag can be diversifiedly utilized as a new solid waste resource by the influence mechanism of particle morphological effect and loading speed on the crushing strength, crushing mode and energy dissipation law.

The application discloses a reclamation and filling soil and dynamic construction method of dikes and weirs based on settlement monitoring, and belongs to the technical field of geotechnical engineering monitoring and construction control. In order to solve the problems of low settlement monitoring precision, large environmental interference and lack of dynamic closed-loop control in the existing construction, a multi-source three-dimensional monitoring network is constructed and connected to a decentralized data transmission network; a double-factor correction model of tidal phase difference and salt spray corrosion is introduced to automatically calibrate environmental errors; a deep learning model embedded with one-dimensional consolidation theory constraints is used to predict post-construction settlement and differential settlement trends, and when the threshold is exceeded, a graded loading rate, intermittent standing time and partition reinforcement scheme are generated; the control command is pushed to the field terminal and the equipment is flexibly linked; the iterative monitoring-correction-prediction-decision-execution closed-loop process is continued until the design standard is reached. The application is mainly used for intelligent control of the dynamic construction of reclamation and filling soil and dikes and weirs, and can improve the settlement control precision and construction safety.

This invention discloses a dust-proof coal mine conveying equipment and its usage method. The method constructs a multiphase microstructure model of recycled aggregate, couples the discrete element method with a particle crushing algorithm, simulates the crack propagation and crushing evolution law of recycled aggregate during the crushing process, and establishes a quantitative correlation between aggregate strength and microstructure parameters based on the simulation results. This invention introduces a real-time crushing energy feedback mechanism and a multi-objective optimization algorithm to synergistically optimize aggregate gradation, loading rate and boundary conditions, thereby improving simulation accuracy and computational efficiency, and achieving accurate prediction of the crushing strength and crushing morphology of recycled aggregate.

The invention provides a comprehensive evaluation test method and device for coal rock dynamic instability characteristics. The method comprises the following steps: acquiring a coal rock sample; based on the uniaxial compressive strength of the coal rock sample, uniaxial loading of the coal rock sample is controlled at different loading rates, and stress-strain relation curves of the first stage and the second stage before damage of the coal rock sample are obtained; calculating first accumulated elastic energy and first dissipated energy in the first stage and second accumulated elastic energy, second dissipated energy and post-peak loss energy in the second stage according to the stress-strain relation curve; calculating to obtain the total residual released energy of the coal rock sample; and calculating the release speed of the total residual released energy based on the total residual released energy and the equivalent dynamic failure time converted from the failure time so as to evaluate the dynamic instability characteristic of the coal rock, thereby calculating the release speed of the total residual released energy by introducing the uniaxial compressive strength, the yield deviation degree, the accumulated elastic energy and the equivalent dynamic failure time, and evaluating the dynamic instability characteristic of the coal rock. And the accuracy and precision of evaluating the dynamic instability of the coal rock are improved.

This invention relates to the field of dry quenching coke calculation technology, and particularly to a method for calculating the coke discharge rate and coke loading rate of dry quenching coke. The method includes data acquisition and processing; identifying the loading cycle; calculating the average coke loading amount for each loading cycle; grouping the data based on the loading cycle and calculating the average amplitude of the loading cycle; constructing an amplitude-coke discharge rate prediction model; calculating the total material mass within the dry quenched coke based on the coke level, and calculating the coke loading rate by combining the coke discharge rate with the change in material mass. The advantages of this invention are: it eliminates excessive reliance on real-time belt scale data; by combining long-term historical data for statistical analysis and introducing precise calculation of the coke loading amount, it significantly reduces the interference caused by instantaneous operating condition fluctuations, equipment errors, and "suspended material" phenomena on the coke discharge rate calculation; and by using statistical averaging and multi-cycle fitting methods, it makes the correspondence between amplitude and coke discharge rate more stable and reliable, improving the overall calculation accuracy and robustness.

The invention discloses a sand shale interbed crack formation mechanism and evolution mode analysis method, which comprises the following steps of: setting a reasonable rock sample loading rate and shortening rate by using a particle flow numerical simulation technology according to a macroscopic structure style, and further implementing a rock mechanics experiment with a variable loading rate; the fracture strength and stress-strain evolution maps of sand / mudstone under different loading rate conditions are constructed, so that a sand / mudstone interbed fracture development mechanism under a strong stress rapid extrusion environment is disclosed, an interbed type artificial sample is prepared by using an underground sand / mudstone core sample from the similar perspective of three aspects of material composition, mechanical properties and an interbed structure, and the interbed type artificial sample is used for detecting the interbed fracture of the sand / mudstone. A loading type synchronous CT scanning experiment and a three-dimensional acoustic emission source positioning experiment are carried out, the rock fracture process is visualized, and the composite rock mass fracture evolution process is revealed. The method has important theoretical and practical values for improving the exploration success rate of the fractured gas reservoir, widening the exploration and development field and optimizing the reservoir transformation strategy.

The invention discloses a carry-scraper with the adjustable gravity center, and belongs to the field of hydraulic engineering, the carry-scraper comprises a vehicle main body, a moving unit and a working assembly which are arranged on the vehicle main body, a cab fixedly connected to the vehicle main body, and a bucket connected with the working assembly, and the interior of the bucket is connected with a material pushing unit; the material pushing unit comprises a material shoveling base, a lower material pushing plate, an upper material pushing plate and a material pushing driving part, wherein the two ends of the material shoveling base are in sliding connection with the inner wall of the bucket, the lower material pushing plate is rotationally connected to the upper end of the material shoveling base, the upper material pushing plate is rotationally connected with the other end of the lower material pushing plate, and the material pushing driving part is located in the bucket and connected with the material shoveling base. Materials in the bucket can be directly pushed from back to front through movement of the lower material pushing plate and the upper material pushing plate, so that material flow is forced to leave the bucket wall and the bucket bottom, the arch bridge and suspension phenomena of the materials are destroyed, the materials are integrally collapsed and discharged, most of the materials can be pushed out only through one complete stroke, and the material pushing efficiency is improved. Cross contamination is reduced, the loading rate is increased, the unloading time is greatly shortened, and the unloading efficiency is improved.

This invention provides a method for calculating the load of mining dump trucks. It establishes the interaction relationship between two particles resting at the corner of the cargo box and the side and bottom plates of the cargo box, obtaining the forces exerted on the particles by the side and bottom plates. It provides strong and weak frictional solutions, extending the interaction relationship to the entire cargo box material, obtaining the forces exerted on the material by the side and bottom plates, and providing a critical value for the comprehensive friction coefficient. It establishes a multi-point support model and a porosity model for the material particles, identifies the relationship between the particle stacking angle and the number of particle support points, and combines the actual cargo box loading rate with the porosity model to establish the relationship between the loading rate and the number of particle support points. It determines a suitable multi-point support model for particles, establishes the relationship between the finite element mesh size and the material particle size, and establishes the force distribution relationship between the side and bottom plates of the cargo box on the material particles based on the finite element mesh. This invention can effectively cover all road conditions in the actual operating environment of mining dump trucks.

The invention provides a triaxial drainage shear test mechanical parameter determination method for reducing the fine grain amount of wide graded soil, which comprises the following steps: determining the range of a permeability coefficient k, and dissipating the pore pressure of a large triaxial apparatus sample in a drainage shear test at an allowable test loading rate; in order to guarantee the range of the permeability coefficient k, the percentage of the content of fine-grained soil is reduced; and correspondingly correcting the parameters of the Duncan model according to the change of the content of the fine-grained soil. The permeability is improved by properly reducing the content of fine particles, so that the large triaxial drainage shear test time is shortened, and the engineering aging requirement is met. And the quantitative relationship among the permeability coefficient, the fine particle content and the stress state is established, the required fine particle content can be reversely deduced according to the target test time, and the test predictability is improved. The method comprises the following steps: firstly, testing a fine-grain-reduced sample to obtain data, and then correcting parameters of the Duncan model through mid-triaxial comparison, so that feasibility and accuracy are both considered. The method solves the problem that the drainage test of the low-permeability soil is difficult to carry out, and has important engineering application value.

The invention discloses a method for testing the crack resistance of a prefabricated curved plate of a thin-wall concrete irrigation canal. The method comprises the following steps: measuring key dimension parameters of the prefabricated concrete curved plate; building a three-point bending test loading platform; performing stress state classification on the prefabricated curved plates according to the position of the action point of the resultant force of the water pressure; calculating a horizontal positioning parameter of a load acting point and a base supporting height parameter, and completing positioning of loading and supporting; calculating a loading maximum value based on a bidirectional load synthesis effect, and applying the load according to a set loading rate; calculating a fatigue lower limit equivalent value under the action of a bidirectional load, and implementing multi-cycle fatigue loading; after the loading is stopped, the cracking or damage state of the prefabricated concrete curved plate is observed, the crack width is detected, and an anti-cracking performance evaluation conclusion is given in combination with standard requirements. According to the method, the synthetic action of water pressure, top pressure beams and live loads in different directions in actual loads is comprehensively considered, and the crack resistance of the prefabricated bent plates of different sizes is accurately and directly evaluated.

This invention relates to the field of intelligent loading technology for power materials, specifically disclosing a multi-dimensional physical constraint-based loss-prevention loading method for power materials based on industrial big data. The method includes: responding to a loading request by acquiring associated industrial big data, which at least includes power material data, transport vehicle data, and cross-regional road condition data; based on the industrial big data, constructing a material object model and a vehicle object model containing geometric and physical attributes, and generating an initial candidate loading queue. This invention achieves comprehensive control from geometric boundaries to dynamic mechanics by constructing a multi-dimensional physical constraint hierarchical verification mechanism. Specifically, it utilizes dynamic overturning compensation logic to intelligently identify the hidden instability risks of high-center-of-gravity materials without reducing the overall loading rate, and eliminates overturning hazards through virtual grouping and binding technology, effectively resolving the contradiction between dynamic safety and loading efficiency for high-center-of-gravity materials.

The application relates to the technical field of concrete, in particular to high-fluidity concrete and a preparation method thereof, which comprises the following components in parts by weight: cement 300-400 parts; aggregate 800-1000 parts; fly ash 80-120 parts; modified functional material 1.2-1.8 parts; composite microcapsule 3.5-5.0 parts; water reducing agent 2-5 parts; and water 130-160 parts; wherein the modified functional material is fly ash carrier with a surface loaded nano modifier, the nano modifier is a core-shell structure nanoparticle, the inner core is silicon dioxide, and the surface is sequentially grafted with a polycarboxylic acid branched chain and a calcium-responsive phosphonic acid ligand; the modified functional material can make the nanoparticle loading rate reach 1.2-1.8% of the mass of the fly ash, and the distribution is uniform; the fly ash microbead not only acts as an admixture, but also serves as an efficient carrier of the nanoparticle, so that the uniform dispersion of the nanoparticle in the concrete is ensured.

The invention provides a production scheduling method and device of a mining area production line, terminal equipment and a medium. The method comprises the steps of determining a periodic production plan of the mining area production line; determining grouped excavator configuration of the excavator groups according to the mining platform and the periodic production plan of the mining area production line; determining a first decision variable and a second decision variable according to the excavator group and the grouped excavator configuration; the first decision variable represents a planned mine car type corresponding to each excavator group and a planned mine car number corresponding to each planned mine car type; the second decision variable represents the planned loading rate of each excavator; determining a target function according to scheduling benefits, and determining constraint conditions according to mining area production line information; and setting a production scheduling optimization model of the mining area production line, carrying out optimization solution on the production scheduling optimization model, and determining production scheduling configuration results respectively corresponding to the first decision variable and the second decision variable. The method can ensure that the mining area production line can achieve the goal of dispatching benefit maximization.

The invention belongs to the field of geotechnical engineering mechanics, and relates to a rock particle strength probability distribution calculation method considering a strain rate effect. After Wenchuan earthquake, it is found that the section of the dam body of the terrace concrete faced rockfill dam shrinks inwards, and analysis considers that particles are broken due to shear shrinkage of rockfill materials in the earthquake. Therefore, in order to research the deformation mechanism and constitutive relation of rockfill materials under the earthquake action, the dynamic crushing strength of rockfill particles needs to be known firstly. Tests show that the strength of rockfill particles with the same rock quality and similar particle sizes has high discreteness, which reflects the inconsistency of internal defects of the particles. In addition, wide grading of damming rockfill is achieved, and the particle size of the damming rockfill is generally 0.5-800 mm. Obviously, the rockfill particles with the large particle size span and inconsistent internal defects have the large size effect, namely the large particles are low in strength, and the small particles are high in strength. Under the earthquake condition, the strength of the rock can be increased along with the increase of the strain rate, and rockfill particles are not added, namely, the strain rate effect exists. On the basis of a particle strength test, the advantage that Log-Logistic distribution is suitable for strength statistical characterization is combined with a rock strength dynamic improvement coefficient, a probability distribution function of the particle crushing strength under a dynamic strain rate corresponding to an earthquake working condition is deduced, and according to a particle crushing test result of a five-level particle size under a four-level loading rate, the probability distribution function of the particle crushing strength under a four-level loading rate is calculated. Model parameters are determined. Finally, the effectiveness and applicability of the method are verified, and reasonable description of the probability distribution characteristics of the static and dynamic strength of the rockfill particles is realized. And a foundation is laid for researching a rockfill material earthquake deformation mechanism and a constitutive relation by a discrete element method.

The present application relates to natural gas hydrate mechanics test technical field, especially to a kind of hydrate-bearing sediment strain control continuous loading consolidation experiment device and method.The present application includes constant-temperature gas bath cabinet, consolidation test machine, consolidation reactor, counter-pressure module and gas recovery module, the consolidation test machine includes counter-force frame and loading mechanism, loading mechanism is installed at the bottom of counter-force frame, consolidation reactor is arranged on loading mechanism, consolidation test machine and consolidation reactor are located in constant-temperature gas bath cabinet, counter-pressure module and gas recovery module are connected with consolidation reactor respectively.By strain control continuous loading, the consolidation experiment period of hydrate-bearing sediment is shortened, by controlling sample bottom completely not draining water, only draining water from top single side, and cooperating with appropriate loading rate control bottom hole pressure variation, ensure that no excessive hydraulic gradient is generated in sample to cause sample damage, realize the purpose of quickly obtaining reliable hydrate-bearing sediment compressibility index.

The application provides a suction bucket uplift soil body failure mode prediction method based on a GAN-BP algorithm, and comprises the following steps: establishing a suction anchor uplift visualization experiment device; using the experiment device to perform suction anchor uplift experiments under different working conditions, and obtaining laser speckle image original videos of the suction anchor in different loading rate processes; processing and calculating the laser speckle image original videos to obtain soil body displacement contour maps around the suction bucket at the maximum uplift force; measuring the soil body crack width and depth through the soil body displacement contour maps, and establishing a soil body “factor-failure size” database; establishing a GAN-BP machine learning algorithm to perform small sample data prediction; the GAN-BP machine learning algorithm is established by considering the small sample database, and a suction bucket uplift soil body failure mode prediction model is established based on the algorithm; the measured data are obtained through the experiment device, and small sample expansion is performed, so that the influence law of the length, diameter and uplift rate of the suction bucket on the soil body crack size is obtained.

The invention provides a concrete compressive strength self-compensation loading method and equipment. The method comprises the following steps: acquiring z-axis morphology data of a pressure-bearing surface of a test block; obtaining a stress concentration coefficient Kt by using a deep learning model; the loading rate is controlled in a segmented mode according to the Kt value; and calculating the compensation intensity. According to the method, any physical leveling is not needed, and identification-compensation-loading can be rapidly completed; compared with a conventional result, the method has the advantages that small detection strength or dispersion caused by surface defects such as burrs on a pressure-bearing surface of the test block is reduced; the device can be embedded into an existing electro-hydraulic servo press, and the hardware transformation cost is low; 10 thousand yuan per machine. On the premise of not changing the original state of the test piece, the stress concentration coefficient Kt of the pressure-bearing surface is predicted by using the AI, and the loading curve and the strength calculation formula are adjusted in real time, so that the detection strength error caused by the defects of the pressure-bearing surface can be reduced.

The invention belongs to the technical field of material load strength, and particularly relates to a design method for accurate control of a breaking load under a wide temperature range and a large loading rate, and the method comprises the steps: obtaining the breaking load of a test piece under a standard working condition; obtaining a breaking load of the test piece when the loading rate is greater than the standard working condition; obtaining a breaking load of the test piece when the temperature is greater than or less than the standard working condition; judging whether the magnitude of the loading rate and the magnitude of the temperature have positive influence or negative influence on the magnitude of the breaking load; carrying out a superposition test on factors with the same direction influence, and obtaining a positive influence value and a negative influence value on the breaking load under the superposition of the loading rate and the temperature; subtracting the forward influence value from the upper limit value of the breaking load demand range to obtain an upper limit value of a breaking load design range; adding the negative influence value to the lower limit value of the breaking load demand range to obtain a lower limit value of a breaking load design range; and based on the upper limit value and the lower limit value of the breaking load design range, designing a breaking workpiece by adopting the same material as the test piece.

The invention relates to the technical field of engineering machinery, and discloses a loading weight intelligent control method and device.The method comprises the steps that the loading rated weight of transportation equipment, the current loading weight of the transportation equipment and the single bucket rated weight corresponding to a loading machine are obtained; according to the loading rated weight and the current loading weight, the to-be-loaded weight is calculated; judging whether the to-be-loaded weight is smaller than the rated weight of a single bucket; when it is judged that the weight of the to-be-loaded vehicle is smaller than the rated weight of the single bucket, the target overturning angle needed by the bucket is calculated according to the weight of the to-be-loaded vehicle; and after the bucket is controlled to complete material shoveling operation for the target material, the bucket is controlled to execute bucket tipping operation according to the target overturning angle, so that the material weight of the target material in the bucket is adjusted to be consistent with the weight of the to-be-loaded vehicle. It can be seen that the weight of the last hopper of materials in the loading process can be accurately and efficiently adjusted, the loading weight control efficiency and accuracy are improved, and therefore the loading operation efficiency is improved.