1575 results about "Ultra high performance" patented technology

The invention relates to the technical field of ultra-high performance concrete detection, in particular to an ultra-high performance concrete construction process detection and analysis system based on multi-source data fusion. According to the technical scheme, the system comprises a multi-physics field sensing network, a heterogeneous data fusion engine, an intelligent diagnosis and analysis system and a visual decision support platform, and the multi-physics field sensing network is composed of multi-modal sensors deployed in links of raw materials, stirring, transportation, pouring and maintenance; and cross-scale data acquisition and heterogeneous data fusion engines from nanoscale interface reaction to meter-scale structure morphology are realized. Cross-scale and multi-physics-field comprehensive monitoring is achieved through the multi-physics-field sensing network, efficient data processing and analysis are conducted through the heterogeneous data fusion engine, construction quality dynamic evaluation is conducted through the intelligent diagnosis and analysis system, and scientific decision making and construction management are assisted through the visual decision support platform. Therefore, the construction quality is improved, the construction process is optimized, the construction risk is reduced, and comprehensive guarantee is provided for ultra-high performance concrete construction.

The invention relates to the technical field of concrete detection, in particular to a dynamic detection and analysis method and system for early performance of ultra-high performance concrete. According to the technical scheme, the method comprises the steps of establishing a raw material characteristic spectrum library based on multi-physics field coupling, constructing a dynamic detection array based on a time sequence, developing a multi-modal data fusion algorithm, establishing a nonlinear coupling effect decomposition model and implementing dynamic parameter inversion. According to the method, a technical chain of four-dimensional monitoring network-multi-physics field coupling analysis-cross-scale prediction-adaptive regulation and control is constructed, so that dynamic accurate detection and intelligent regulation and control of the early performance of the ultra-high performance concrete are realized, and the technical bottlenecks of a traditional method in the aspects of parameter coupling, cross-scale association and real-time regulation and control are solved; the early performance prediction precision and the maintenance efficiency are remarkably improved, the cracking risk is reduced, and reliable technical support is provided for application of the ultra-high performance concrete in major engineering.

The invention discloses high-toughness ultra-high performance concrete and a preparation method thereof, and relates to the technical field of polymer modified materials thereof. The concrete is composed of a cementitious material composite system, a fiber-reinforced system and a polymer modifier, the cementitious material comprises Portland cement, nano-silica, a rice hull ash-based auxiliary cementitious material and gradient grading quartz powder, and the fiber system adopts steel fiber / basalt fiber / polypropylene fiber multi-scale composite reinforcement. And a polyurethane emulsion interface modifier is matched. During preparation, a dry mixing-fiber dispersion-wet mixing three-stage process is combined with a microfluidization emulsification and segmented polymerization technology, so that uniform dispersion of fibers and matrix-fiber interface reinforcement are realized. The scheme has high strength, high toughness and industrial feasibility, and is suitable for harsh engineering scenes such as bridge joints and explosion-proof structures.

The invention discloses ultra-high performance concrete and a preparation method thereof. The ultra-high performance concrete comprises the following components in percentage by mass: 15%-25% of cement, 3%-6% of nano SiO2, 30%-35% of fly ash or steel slag powder, 35%-40% of recycled aggregate, 1%-4% of fiber, 0.5% of a microbial remediation agent and 1%-3% of nano TiO2. The preparation method comprises the following steps: S1, pretreating the recycled aggregate; and S2, packaging the microbial remediation agent: mixing the bacillus pasteurii spores with calcium lactate, and wrapping the mixture in calcium phosphate microspheres. S3, step-by-step stirring; S3.1, dry mixing: uniformly stirring the cement, the fly ash, the nano SiO2, the nano TiO2 and the recycled aggregate; s3.2, wet mixing is carried out, water solution fibers containing the polycarboxylic acid water reducing agent are added, uniform stirring is carried out, and the water-binder ratio of the water solution containing the polycarboxylic acid water reducing agent is 0.18; s3.3, final mixing: adding the packaged microbial remediation agent, and uniformly stirring; and S4, directional curing: performing steam curing at 80 DEG C for 48 hours, performing ultraviolet irradiation, and performing constant-temperature and constant-humidity curing for 7 days. The ultra-high performance concrete has the effects of low cost, low carbon emission, multi-function integration and repeatable crack self-repairing.

The invention discloses a common concrete and ultra-high performance concrete performance prediction and mix proportion multi-objective optimization design method and system, and the method comprises the steps: obtaining a comprehensive data set which covers the mix proportion, performance data and cost data of common and ultra-high performance concrete; correlation analysis is carried out, and influence factors strongly correlated with the target variable are determined; constructing a concrete performance prediction model by using a machine learning algorithm, training and testing, then carrying out interpretability analysis, and selecting an optimal concrete performance prediction model; constructing a mix proportion optimization design objective function and an ultra-high performance concrete cost function; establishing a multi-objective optimization design mathematical model in combination with constraint conditions, a cost function and an optimization objective function; and solving by adopting a multi-objective evolutionary algorithm, generating an approximate Pareto frontier solution set, and determining an optimal mix proportion optimization design scheme. According to the method, the concrete performance can be predicted, the mix proportion with the optimal comprehensive performance and cost effectiveness is obtained, and multi-objective optimization design of the concrete mix proportion is achieved.

The invention relates to the technical field of ultra-high performance concrete, particularly discloses a fatigue performance evaluation method for a steel-UHPC combined bridge deck slab, and is used for solving the problem that the fatigue damage evolution process of the steel-UHPC combined bridge deck slab in the life cycle is difficult to accurately predict due to the fact that an existing evaluation method does not consider the influence of structural fatigue performance degradation. And the evaluation result is likely to be unsafe. According to structural parameters and material attributes of a reinforced UHPC layer, fatigue performance evaluation of a reinforced UHPC component under the action of an axial tension fatigue load is carried out, fatigue performance analysis of a stud connecting piece in ultra-thin UHPC under the action of a shear fatigue load is carried out, bending fatigue performance analysis of a steel-UHPC-pavement composition board is carried out based on a five-point bending test, and the bending fatigue performance of the steel-UHPC-pavement composition board is analyzed. And a time-varying fatigue analysis framework of the steel-concrete composite effect degraded steel-UHPC composite bridge deck is established, so that the evaluation result is more reliable, and the risk of unsafety is reduced.

The coarse aggregate ultra-high performance concrete premix lifting, transferring and mixing device comprises a control system, an aggregate batching system, an aggregate lifting system, a dry mixing main machine system, a feeding vehicle, a steel fiber feeding system and a stirring system, the whole stirring process is automatically controlled and comprises key steps of automatic metering, automatic raw material feeding, mixing and the like, so that manual operation is remarkably reduced, errors and inconsistency caused by manual metering are avoided, and the accuracy and repeatability of stirring each time are ensured; step-by-step feeding of each part is coordinated through a control system, so that the stirring efficiency and the uniformity of concrete are improved; by establishing a relational expression between a concrete mixture stirring uniformity index and parameters such as the stirring time, the stirring speed, the number of stirring blades, the vibration frequency of the two-stage vibrating screen and the like, key parameters in the stirring process are more accurately controlled, and it is ensured that the stirring uniformity of each batch of concrete reaches a preset standard.

The invention discloses shrinkage-free aluminoferrite cement-based ultra-high performance concrete and a preparation method thereof, and belongs to the technical field of novel wall materials, and the shrinkage-free aluminoferrite cement-based ultra-high performance concrete comprises the following components: an activated cementing material, mineralized aggregate, an additive, reinforced fibers and mixing water. Due to the slow release effect of the methyl cellulose coating on the composite expanding agent, precise compensation of self-constriction is achieved, and contraction deformation in the curing and using process is effectively inhibited. Due to the unique mineral composition of the aluminoferrite cement, the early strength of the concrete is sharply improved, and the production cycle of prefabricated parts is greatly shortened. The steel fibers subjected to sand blasting and pre-wrapping modification can effectively bridge microcracks in the concrete and limit crack propagation; the polycarboxylate superplasticizer disperses the modified carbon nanofibers, crack initiation is inhibited from the microscopic level, and mechanical properties such as fracture resistance and impact resistance of the joint part and the prefabricated part are remarkably improved through cooperation of the polycarboxylate superplasticizer and the modified carbon nanofibers.

The invention relates to the technical field of intelligent manufacturing, and particularly provides an intelligent ultra-high performance concrete preparation system and a control system thereof.The preparation system comprises an environment adaptability adjusting subsystem used for automatically adjusting preparation operation parameters of equipment according to external environment temperature and humidity changes of an ultra-high performance concrete mixture; the dynamic optimization proportioning subsystem is used for sensing real-time states of viscosity, fluidity and the like of the ultra-high performance concrete mixture in the preparation process through a built-in sensor array; adjusting a water-cement ratio and an aggregate proportion according to real-time states of preparation operation parameters, viscosity, fluidity and the like; and the operation energy efficiency management subsystem is used for adjusting the working mode of the equipment according to the preparation operation parameters. The control system comprises an equipment layout assembly, an equipment communication assembly and a program execution assembly. While the quality of the ultra-high performance concrete is ensured, the preparation efficiency and the environmental adaptability are improved, the energy consumption is reduced, and green and intelligent production of the ultra-high performance concrete is realized.

The invention relates to the field of concrete performance detection, in particular to a performance detection method and system for ultra-high performance concrete. The method comprises the following steps: firstly, respectively acquiring displacement data of a concrete sample of a test group in a preset time period and penetration resistance data of a concrete sample of a control group in the preset time period, acquiring a first initial setting time period and an initial setting time point of the control group, and correcting the displacement data in each time sub-period to obtain a first initial setting time period and an initial setting time point of the control group; obtaining optimized displacement data of a preset time period, selecting an initial setting moment of the test group according to the change difference between the penetration resistance data on the two sides of the initial setting time point and the optimized displacement data on the two sides of the target time sub-section, and determining the initial setting moment of the test group according to the difference of the optimized displacement data between the termination moment and the initial setting moment of the test group in the preset time period. And obtaining the early-age self-constriction deformation coefficient of the concrete sample. According to the method, the calculation precision of the early-stage self-constriction deformation coefficient of the concrete can be improved, and the accuracy of concrete performance detection is improved.

The invention relates to the technical field of concrete performance prediction, in particular to a method for predicting residual compressive strength of ultra-high performance concrete after high temperature based on machine learning, which comprises the following steps: establishing a data set, establishing an optimal prediction model, dividing the data set and substituting the data set into the optimal prediction model, and performing parameter optimization on the optimal prediction model. And predicting the residual compressive strength. By comparing a plurality of different machine learning algorithms, the optimal machine learning algorithm suitable for predicting the residual compressive strength of the ultra-high performance concrete is found, the optimal prediction model of the residual compressive strength of the ultra-high performance concrete is obtained, and the residual compressive strength of the UHPC under the high-temperature condition can be predicted more accurately.

The invention provides an ultra-high performance concrete multi-performance prediction method based on machine learning. The ultra-high performance concrete multi-performance prediction method comprises the following steps: Step 1, establishing a data set; step 2, data preprocessing is carried out; step 3, establishing an optimal prediction model: based on the feature subset, adopting a plurality of different machine learning algorithms for training, and selecting the machine learning algorithm with the best training effect as the optimal prediction model; step 4, selecting an optimal feature subset; step 5, explaining the influence of the features on model prediction: calculating the contribution degree of each feature to a prediction result based on the optimal prediction model and the optimal feature subset, and helping to understand the decision process of the model; and Step 6, performance prediction of the ultra-high performance concrete: inputting parameters of the to-be-predicted ultra-high performance concrete into the optimal prediction model to obtain a predicted value of the performance. The technical problems that an existing UHPC performance prediction method is incomplete in data set, insufficient in consideration of data processing and feature engineering and poor in model interpretation can be solved.

The invention provides an ultra-high performance concrete proportion design method based on an intelligent algorithm and functional requirements. The method comprises the following steps: S1, constructing an ultra-high performance concrete performance prediction database; s2, automatically selecting key variables based on function requirements; s3, training and predicting a machine learning model based on function requirements; and S4, optimal design of the ratio of the ultra-high performance concrete. According to the unsupervised anomaly detection method based on the isolation forest, the database is preprocessed, and the ultra-high performance concrete proportion design key variables are selected through the automatic variable selection method, so that rapid mapping from the mixing amount of each component of the ultra-high performance concrete to each function demand index is realized; through the particle swarm optimization (PSO), the ultra-high performance concrete with specific function requirements is subjected to proportioning design, and finally the ultra-high performance concrete proportioning value closest to the function requirement index is obtained, so that the problems of time and labor consumption, low efficiency and resource waste are solved.

The invention provides anti-disturbance micro-expansion lightweight ultra-high performance concrete and a preparation method thereof. According to the concrete disclosed by the invention, the generation of micro cracks under disturbance can be effectively inhibited through the fiber bridging effect of the crystal whiskers and the temperature-shrinkage indented fibers and the micro pre-compressive stress of the temperature-shrinkage indented fibers under hydration exothermic excitation; the micro-crack healing effect of the nano-cellulose and the internal curing effect of the saturated pre-wetted coal gangue ceramsite cooperate to repair microstructure damage generated under strong disturbance, and the disturbance resistance of the concrete is further improved. The internal curing effect of the saturated pre-wetted coal gangue ceramsite and the expansion agent shrinkage compensation synergistically improve the volume stability of the concrete. The 28d compressive strength of the concrete is gt; compared with common ultra-high performance concrete, the volume weight of the ultra-high performance concrete is reduced by more than 20%, the anti-disturbance strength retention rate of the ultra-high performance concrete is greater than or equal to 95%, the ultra-high performance concrete shows excellent bonding and durability, the comprehensive performance of the ultra-high performance concrete is greatly improved, and the ultra-high performance concrete has important practical application value.

The invention relates to a low-carbon phase change energy storage UHPC (Ultra High Performance Concrete) and a preparation method thereof. The low-carbon phase change energy storage UHPC comprises the following components in parts by weight: 1400 parts of cement, 320-400 parts of fly ash, 200-280 parts of silica fume, 400-480 parts of water, 1200 parts of machine-made sand, 1700 parts of phase change aggregate, 2 parts of modified carbon fiber, 20 parts of a polycarboxylic acid high-performance water reducing agent, 2 parts of a composite thickening time control agent and 1 part of sodium polyacrylate. The preparation method comprises the following steps: weighing materials; preparing concrete 1: preparing a mixed solution 1; stirring the concrete 1; preparing concrete (2); preparing mixed liquid (2); stirring the concrete (2); and pouring concrete, vibrating and curing. According to the method, UHPC shrinkage control is carried out by adopting a multi-dimensional crack control method, and penetrating cracks and deep cracks are prevented from being generated in a concrete structure; the provided phase change energy storage UHPC has the heat storage and release capacity, the indoor temperature can be adjusted, and resource energy consumption is reduced.

The invention belongs to the technical field of concrete, and particularly relates to a preparation method and application of coal gangue-based ultra-high performance concrete UHPC for wet joints. Through composite gradient activation of calcination and ball milling and alkali-lithium salt synergistic excitation, efficient dissolution of active components of the coal gangue is achieved, the 3d compressive strength of the UHPC material is larger than or equal to 120 MPa, the 28d compressive strength of the UHPC material is larger than or equal to 150 MPa, and the UHPC material is improved compared with a traditional coal gangue-based material; meanwhile, through the synergistic effect of nano SiO2 / graphene oxide multi-scale reinforcement and steel fiber toughening, the interface bonding strength reaches 12-14 MPa, the chloride ion diffusion coefficient is smaller than 1.5 * 10 <-12 > m < 2 > / s, and the problems of wet joint interface debonding and durability degradation are solved.

The invention provides ultra-high performance concrete containing graphite tailing fine aggregate and a preparation method of the ultra-high performance concrete, and relates to the technical field of concrete. The concrete comprises the following components in parts by weight: 7.8-9.3 parts of water, a cementing material, fine aggregate, 1.5 parts of a water reducing agent and 4.2 parts of steel fibers, the cementing material comprises 34 parts of cement, 9.7 parts of silica fume and 4.9 parts of fly ash; the fine aggregate comprises graphite tailings and river sand; the graphite tailings comprise 2.2-8.8 parts of medium-particle-size graphite tailings and 1.5-6.2 parts of fine-particle-size graphite tailings; the river sand comprises 14.2 to 21.3 parts of large-particle-size river sand, 6.1 to 9.1 parts of medium-particle-size river sand and 2.2 to 3.3 parts of fine-particle-size river sand. The graphite tailings are used as raw materials, river sand is optimized and replaced according to mineral composition and morphological characteristics of the graphite tailings, the internal microstructure of the material is optimized, the mechanical strength and performance of the material are improved, and the problems of accumulation, pollution and the like of the graphite tailings are solved.

The invention relates to the technical field of ultra-high-performance concrete materials, in particular to a low-carbon gold tailing-based ultra-high-performance concrete material suitable for a large-gradient pavement and a preparation method of the low-carbon gold tailing-based ultra-high-performance concrete material. According to the invention, the multi-stage gold tailings and the machine-made sand are adopted to replace quartz sand in a traditional ultra-high performance concrete material, and a low-carbon cementing material prepared from a large amount of solid waste and a limited early strength activator is adopted to replace traditional high-grade cement with a large mixing amount and is cooperated with a composite admixture and steel fibers; and the low-cost and environment-friendly ultra-high performance concrete material is prepared. The ultrahigh concrete material prepared by the invention has high compressive strength, high breaking strength, high toughness and excellent freezing resistance and chloride ion permeability resistance, and also has the performance of autonomously expanding flow, thereby meeting the construction requirements of cast-in-place of ultrahigh-performance concrete in a large-gradient pavement scene.

The invention discloses an ultra-high performance concrete compressive strength prediction method based on a grey wolf optimization algorithm. The method mainly solves the technical problem that it is difficult to comprehensively, accurately and efficiently predict the compressive strength of the ultra-high performance concrete through existing empirical formulas or numerical simulation. According to the method, the initial threshold value and the weight value of the BP neural network model are optimized through the grey wolf optimization algorithm (GWO), the problem that the model falls into local optimum can be effectively avoided, then the robustness and generalization ability of the model are improved, and the prediction precision is higher. And the SHAP feature importance method is adopted to identify the feature which contributes the greatest to the prediction result, so that the simplification of the quantity of variables is realized, the redundancy caused by potential correlation among the variables is avoided, the extracted input variables have the minimum redundancy, and the prediction accuracy and the prediction efficiency of the neural network model are effectively improved after parameter optimization.

The invention provides a regenerated crude fiber modification method and a fiber-reinforced ultra-high performance concrete preparation method. The regenerated crude fiber modification method comprises the following steps: treating a fiber reinforced composite material into crude fibers through cutting; carrying out surface cross-linking agent treatment on the crude fibers and drying; the method comprises the following steps: immersing crude fibers into a graphene oxide solution, gradually increasing the temperature of the solution, stirring the crude fibers, and then drying to obtain modified fibers. The modified crude fiber is mixed with cement, silica fume, fine aggregate and other components to prepare fiber-reinforced ultra-high performance concrete, and the strength of an interface transition area between the crude fiber and concrete can be improved. The method provided by the invention has a simple and efficient process flow, is very suitable for large-scale industrial production, provides a technically feasible and simple-to-operate approach for optimizing and recovering utilization of crude fibers in ultra-high performance concrete, and has important significance for promoting high-valued recovery of fiber reinforced composite materials, especially wastes of the fiber reinforced composite materials.

The invention belongs to the technical field of building materials, and particularly discloses maintenance-free lightweight spraying ultra-high performance concrete as well as a preparation method and application of the maintenance-free lightweight spraying ultra-high performance concrete. Comprising 700 to 900 parts of Portland cement, 120 to 200 parts of silica fume, 100 to 200 parts of a layered mineral admixture, 30 to 70 parts of a gradient active expanding agent, 600 to 800 parts of modified lightweight aggregate, 0.5 to 3 parts of a rheology regulating agent, 40 to 80 parts of composite fiber, 7 to 10 parts of a water reducing agent and 170 to 200 parts of water. Based on the synergistic effect of all the components, on the basis that the light ultra-high performance concrete can be continuously sprayed, the spraying performance, the shrinkage performance and the interface bonding performance are further improved, the anti-cracking performance, the mechanical performance and the durability of the light ultra-high performance concrete are enhanced, formwork erecting, film covering maintenance and later maintenance are not needed in construction, and the construction period is shortened. And moreover, the coating has the advantages of small apparent density, strong interface adhesion, thick single-time spraying, high crack resistance, low shrinkage, ultrahigh strength, high durability and the like.

The invention discloses a hypergraph neural network-based PVA fiber toughened UHPC material formula design method. The method comprises the steps of 1, multi-modal data acquisition and processing, 2, hypergraph structure construction, 3, HGNN model construction, 4, model training, and 5, performance optimization and reverse ratio design. According to the method, the high-order relationship among the multi-modal data such as the raw material, the proportion and the microstructure can be efficiently modeled, the precise prediction of the performance of the PVA fiber toughened UHPC and the optimal design of the proportion are realized, and the method is suitable for the performance prediction and proportion recommendation of various ultra-high performance concrete systems, and has wide engineering application prospects and industrial popularization values.

The invention relates to the technical field of cement-based building materials, in particular to an ultra-high-performance grouting material for an offshore wind power jacket and a preparation method and application of the grouting material. Cement, fine aggregate, corundum micro powder, a superfine mineral admixture, a reinforcing agent, a reinforcing accelerant, an expanding agent, a water reducing agent, a defoaming agent and steel fibers are adopted as raw materials; the grouting material for the offshore wind power jacket, which is high in compressive strength and good in tensile strength and ultimate elastic tensile strength, is prepared by utilizing the compatibility of the superfine mineral admixture, the reinforcing agent and the reinforcing accelerant and cooperating with the steel fibers.

The invention relates to the technical field of ultra-high performance concrete (UHPC) construction, and discloses an intelligent construction environment adaptive optimization system for uHPC facility construction, which comprises a multi-source heterogeneous sensor network module, an intelligent decision algorithm module, an execution mechanism linkage module, a data closed-loop feedback module and a visual interaction interface module. According to the intelligent construction environment adaptive optimization system for uhpc facility construction, environmental parameters and UHPC hardening data are collected in real time through a multi-source heterogeneous sensor network, and multi-parameter coupling effects of temperature, humidity, wind speed, illumination and the like are accurately analyzed in combination with a multi-input channel modeling and attention mechanism of an improved LSTM neural network, so that the system can be applied to the intelligent construction environment adaptive optimization of the uhpc facility construction. Dynamic threshold value control on environment parameters of all stages of initial setting, final setting and maintenance of the UHPC is realized; the execution mechanism linkage module controls an instruction through cooperation of a three-level early warning mechanism and equipment, the temperature control error is remarkably improved from + / -3 DEG C of a traditional method, and humidity fluctuation is controlled within a smaller range.

The invention relates to the technical field of cement-based building materials, in particular to low-shrinkage ultra-high-performance concrete and a preparation method thereof.The concrete production cost is reduced by replacing cement with a large amount of admixture, ardealite-based coarse aggregate and solid waste lightweight aggregate are prepared from industrial solid waste to serve as aggregate, and the concrete strength is improved; the internal curing effect is achieved, and the shrinkage of the ultra-high performance concrete is reduced together with a self-made expanding agent.

The invention relates to the technical field of preparation of building materials, and discloses an ultra-high performance polycarboxylate superplasticizer for UHPC (Ultra High Performance Concrete). The superplasticizer composition comprises the following components in parts by weight: 20-30 parts of ethyl acrylate; 20 to 30 parts of sodium acrylate; the invention also provides a preparation method of the ultra-high performance polycarboxylate superplasticizer for UHPC, and the preparation method comprises the following steps: S1, raw material preparation: dissolving ethyl acrylate, sodium acrylate, sodium allylsulfonate, hexadecyl acrylate and diene peroxide in 50-100 parts of water to form a uniform solution; and S2, mixing and pre-polymerizing. By introducing nano silicon dioxide, an ultrasonic dispersion technology and a low-temperature vacuum dehydration technology, the dispersity and anti-permeability of the water reducing agent and the fluidity of concrete are improved, meanwhile, high strength is kept, and the problems that concrete is uneven in performance and poor in constructability are solved.

A method for producing a flexural hybrid span beam includes casting a first layer of ultra-high performance concrete (UIHPC) into a bottom of a mold, the first layer comprising steel fibers that are randomly oriented and dispersed. The method includes self-curing the first layer for at least 48 hours to form an unfinished top surface of the first layer. The method includes casting a second layer of plain concrete, over the unfinished top surface of the first layer, in the mold, wherein the second layer of plain concrete is not reinforced by steel bars. The method includes curing the first layer and the second layer to form the flexural hybrid span beam. An interface between the first layer and the second layer is substantially flat and has a periphery conforming to a shape of the mold.

The invention provides a phosphogypsum lightweight aggregate and a preparation method thereof. The phosphogypsum lightweight aggregate disclosed by the invention can be applied to mass concrete engineering, the utilization rate of sandstone is effectively reduced, and the ecological environment is protected. Meanwhile, the cylinder compressive strength of the prepared lightweight aggregate can reach 10 MPa or above, the apparent density is 1600-1920 kg / m < 3 >, the water absorption rate is 9-14%, when the lightweight aggregate acts in concrete, ultra-high performance concrete with the strength grade reaching 100 MPa or above can be prepared, and the hydration shrinkage condition of the concrete can be reduced while certain strength is kept. The method applied to engineering construction not only helps to solve the national problems of high consumption and utilization of ardealite and pollution prevention, but also can solve the shortage of materials required by infrastructure construction. Compared with common concrete, the concrete has higher market competitiveness.

The invention relates to a low-cost and air-corrosion-resistant steel fiber modification method and application thereof in UHPC, and the steel fiber modification method specifically comprises the following steps: mixing a saturated calcium hydroxide solution with glycerol to obtain a modification liquid, then soaking steel fibers in the obtained modification liquid, standing and modifying, and then drying to obtain the steel fibers. And finally taking out the steel fiber and drying to obtain the modified steel fiber. According to the steel fiber modification method, common industrial raw materials and by-products can be adopted as raw materials, the cost is low, the modification process is non-toxic and harmless, the steps are simple, and industrial application is easy.

The invention relates to the technical field of basalt concrete, in particular to basalt ultra-high performance concrete and a preparation method thereof, the preparation method comprises a raw material screening method and a preparation method, and the raw material screening comprises the steps of (1) selecting ultra-high performance concrete water, (2) selecting a cementing material, (3) selecting aggregate and (4) selecting fiber. The preparation method comprises the following steps: (1) the use amount of water should meet the design specification of the ultra-high performance concrete, and the water-binder ratio should be controlled within 0.25; and (2) according to the particle sizes of the cementing material and the sand, the dosage of each component is calculated on the basis of the closest packing theory, and the sand-cement ratio is controlled within 1.1-1.4. By adopting the method, in-situ utilization of the raw materials of the ultra-high-performance concrete can be realized in volcanic diagenetic regions, and design, preparation and application of the basalt ultra-high-performance concrete can be realized in practical engineering.