97 results about "Mix design" patented technology

The invention belongs to the technical field of mining construction, and particularly relates to an artificial roof structure and a construction process thereof. The construction process comprises the steps that S1, anchor rod holes are constructed in the positions, 1 m away from a bottom plate, of two sides of a stope, S2, ore cushion layers with the thickness of 200 mm are laid and leveled, S3, I-shaped steel bottom beams are erected and fixed through round steel anchoring parts and welding base plates, S4, a reinforcing mesh is laid, main ribs and auxiliary ribs are bound in a crossed mode and welded to anchor rods, according to the composite structure design of the double-layer reinforcing mesh, the steel wire mesh and the hanging bar system, a three-dimensional stress system is formed, the bending resistance and the shearing resistance of the false roof are remarkably improved, the problem that a traditional false roof is prone to cracking and sinking is solved, and the false roof has the advantages of being simple in structure, convenient to use, economical and practical. Due to the layered matching design of the full-tailing cemented filling body, the bearing strength is guaranteed, seamless roof contact is achieved, the risk of roof hollowing is reduced, the pressure of stope operation circulation is relieved, the ore removal efficiency is improved, and the mining cost is reduced.

The invention relates to the field of concrete design, and particularly discloses stone powder-containing machine-made sand concrete and a corresponding mix proportion design method. The method comprises the steps that the use amount of coarse aggregate, fine aggregate and a cementing material of concrete is calculated, the fine aggregate stone powder-containing machine-made sand is subjected to rapid screening, the stone powder content of the fine aggregate stone powder-containing machine-made sand is measured, all the stone powder-containing machine-made sand is counted into the cementing material, part of cement, fly ash and mineral powder are replaced, a cementing system is formed, 10%-20% of the cement is replaced with the cement, and the remaining part of the cement is replaced with the fly ash and the mineral powder; calculating a strength influence coefficient under the specific cement replacement ratio of the stone powder by adopting a formula gamma Lf =-3.16 x-0. 048 x + 1, and calculating the mortar strength of the gelling system according to the strength influence coefficient; and adjusting and determining the water consumption meeting the preparation strength requirement, and finally determining the dosage of each component of the concrete. The stone powder in the powder-containing machine-made sand serves as a gelling component, efficient resource utilization of the machine-made sand with the high stone powder content is achieved, the use amount of cement and coal ash is reduced, and the problem that concrete is not low in carbon for a long time is solved.

The invention relates to the technical field of precast concrete proportioning, and discloses a precast concrete proportioning optimization method and system based on artificial intelligence. The system comprises a mix proportion design scheme obtaining module which is used for obtaining a first mix proportion scheme according to material proportion hierarchy according to component engineering requirements; the environmental parameter acquisition module is used for acquiring real-time environmental data of a production area; the performance reference prediction module is used for calculating reference parameters according to the material performance characteristic matrix in the first scheme and determining a first performance reference vector; the environment evolution prediction module is used for obtaining a multi-stage production environment parameter sequence based on a real-time data prediction trend; the performance deviation evaluation module is used for obtaining multi-stage performance deviation vectors through a prediction model in combination with the reference vector; the optimization decision generation module optimizes the allocation ratio parameters according to the allocation ratio parameters and generates an optimization strategy; and the proportioning control execution module is used for proportioning equipment parameters according to a strategy. The system adapts to a dynamic production environment, and accurate matching and stable quality are guaranteed.

The invention discloses a plastic concrete performance index evaluation method and a proportion optimization method, the plastic concrete performance index and the following factors influencing the index are determined: concrete component characteristics, component proportion, process parameters and environmental conditions, and the environmental conditions comprise environmental temperature, maintenance mode and environmental erosion condition; constructing a plastic concrete performance evaluation polynomial model reflecting the relationship between the performance indexes and the multiple influence factors; determining the value range of the influence factors, planning a test scheme, preparing a concrete sample block by adopting the admixture with the gradient grading structure, and measuring the plastic concrete performance index of the concrete sample block; fitting coefficients and constants in the plastic concrete performance evaluation polynomial model based on the measured values; based on the fitting degree, selecting an optimal group of coefficients and constants; and evaluating the performance indexes of the plastic concrete by adopting the fitted model. According to the method, the strength and the elastic modulus of the plastic concrete can be predicted, and the performance target can be collaboratively optimized.

The present invention allows for better control over strength in concrete mixes and mix designs, while minimizing the over-use of cement and promoting sustainability within the industry. Disclosed are novel method and system which employ a diagnostic delta data (DDD) curve, or, in other words, data that displays a curvilinear relationship when plotted on a visual graph, as obtained by considering the differences (e.g., subtractive differences or ratios) as between (i) target slump and target (or maximum) water content, and (ii) slump and water content values as determined using an automated slump monitoring system which measures slump and water content in the concrete mix during delivery. This DDD curve can then be compared to monitored delta slump and delta water content for later or other deliveries, such that adjustments can be made to the concrete mix or mix design, in a manner that encourages avoidance of cement over-dosing or over-prescription.

The invention provides a concrete slump control system and method combining AI monitoring and ERP, and relates to the technical field of building materials, the system comprises: a proportioning parameter acquisition module for acquiring concrete proportioning design parameters; the path determining module is used for determining a transportation path according to the transportation vehicle-mounted end and the mixing station end; the attenuation prediction module is used for acquiring vehicle-mounted operation condition data of the vehicle-mounted end to determine a transportation attenuation index; the output prediction module is used for collecting a stirring image and inputting the stirring image into a double-flow neural network to obtain predicted output slump; and the compensation control module is used for transmitting the transportation attenuation index to the stirring station end to carry out compensation control on the predicted slump of the machine. The technical problem that the slump does not meet the design requirement when the concrete reaches a construction site due to the fact that the influence of the transportation process on the slump of the concrete cannot be comprehensively considered in the prior art is solved, and the technical effects of accurately controlling the slump of the concrete and improving the quality stability of the concrete are achieved.

The invention discloses a construction waste resource recycled concrete preparation process. The process comprises the following steps: step 1, dismantling and primary sorting; step 2, pretreatment and primary crushing; step 3, secondary crushing and shaping; step 4, screening and grading; step 5, deep impurity removal and purification; step 6, strengthening the aggregate; and step 7, storing a finished product. Step 8, designing and adjusting a mix proportion; step 9, proportioning and stirring; 10, transporting, pouring and maintaining; the construction waste can be efficiently treated and utilized in an environment-friendly mode through multiple steps, and the construction waste is converted into the recycled concrete with the practical application value. According to the present invention, the accurate mix proportion of the recycled concrete preparation is achieved through the accurate mix proportion design and adjustment and the scientific batching and stirring process, such that the quality stability of the recycled concrete is improved, the solid foundation is established for the wide application of the recycled concrete in various constructional engineering, and the excellent physical and mechanical properties of the recycled concrete are ensured.

The invention discloses a concrete mix proportion design method which comprises the following steps: step 1, defining project requirements: determining the target performances of concrete in the following aspects: (1) compressive strength: determining the minimum compressive strength of the concrete according to structural design requirements: (2) workability: determining the flowability, cohesiveness and water-retaining property of the concrete according to construction conditions; and (3) setting time: determining initial setting time and final setting time of the concrete according to the construction progress and environmental conditions. The performance-oriented design is utilized to ensure that the concrete meets the requirements of strength, workability and durability of a specific project; the trial and error cost is reduced through a systematic process and an iterative adjustment mechanism, and the design efficiency is improved; the system can be flexibly adjusted according to local materials and environmental conditions and is suitable for different regions and project types; the recycled aggregate is supported, the cementing material and the low-carbon cement are supplemented, the environmental influence is reduced, and the green building trend is met.

The utility model relates to a vibration device for simulating new and old bridge splicing seam construction, and the device comprises a vibration rack which comprises a pedestal, a vibration table connected to the pedestal through a floating supporting mechanism, and vibration equipment for vibrating the vibration table; the fixed rack is located on one side of the vibration rack, and the top surface of the fixed rack is flush with the top surface of the vibration table; and the test piece mold is positioned at the tops of the vibration table and the fixed rack and is detachably connected with the vibration table and the fixed rack. A test piece mold is fixed to the top of a vibration rack and the top of a fixed rack, one part of the test piece mold is fixed to a vibration table, and the other part of the test piece mold is fixed to the fixed rack. According to the invention, the working condition of vibration interference of a vehicle in a traffic state on a new and old bridge splicing seam is simulated. The concrete test piece in the test piece mold simulates the concrete setting process of a construction site, and the interference condition of vehicle vibration on the concrete strength is obtained, so that the purpose of verifying the feasibility of the concrete mix proportion is achieved.

The invention provides a machine learning method for predicting compressive strength of various fiber reinforced concrete, relates to the technical field of civil engineering material and artificial intelligence crossing, and constructs a high-precision compressive strength prediction model by fusing limit gradient boost (XGBoost) and a bald eagle search optimization algorithm (BES) and combining k-means + + clustering and five-fold cross validation technology. The method comprises the following steps: firstly, clustering and partitioning a data set by using k-means + +, and ensuring that a training set and a test set are consistent in distribution; a BES algorithm is adopted to optimize hyper-parameters (including the number of iterations, the tree depth and the learning rate) of XGBoost, and input data are normalized to improve convergence efficiency. And finally verifying the performance of the model through evaluation indexes (R2, RMSE, MAE and the like). According to the method, the problem of insufficient prediction precision of a traditional method under the multi-type fiber feature coupling effect is solved, the generalization ability and robustness of compressive strength prediction are remarkably improved, and a reliable basis is provided for concrete mix proportion design and engineering application.

A construction method for widening and filling lightweight embankments with large-particle construction waste includes the following construction steps: 1) construction preparation; 2) waste crushing; 3) waste concrete lightweight backfill mix design; 4) foundation treatment of the roadbed widening area; 5) side formwork support; and 6) waste concrete lightweight backfill construction. The present invention first crushes the waste concrete using a pressure device, then performs auxiliary crushing using a second water sprinkler to reduce dust on the surface of the waste concrete aggregate, and vibrates and screens the waste concrete aggregate using a first aggregate screen to improve the accuracy of waste concrete aggregate particle size control. Lightweight waste concrete backfill material is used in the widening area foundation, and oblique reinforcements are inserted to improve the bearing capacity of the foundation soil. Prefabricated formwork is used on the sides of the widening area to avoid the problem of disassembling and installing the formwork, and the lateral position of the transverse tie bars is controlled by tie bar adjustment bolts to achieve dynamic control of the transverse tie bars.

The invention relates to the technical field of mixing pile construction, and discloses a BIM-based deep foundation pit suspension type mixing pile construction device and method.The BIM-based deep foundation pit suspension type mixing pile construction device comprises a rack and a driving machine arranged at the top of the rack, and further comprises a drilling assembly arranged at the output end of the driving machine and a lifting assembly arranged on the driving machine; the stirring blades are annularly arranged on the side wall, close to the bottom, of the drilling assembly at equal intervals, and the smearing assembly and the mixing assembly are sequentially arranged on the side wall of the drilling assembly in the vertical direction. The layered mixing design is adopted, the movable assembly is arranged to inject bottom mortar, the mortar spraying position is changed after the movable assembly submerges the smearing assembly, then the effect of mixing through layered spraying is achieved, soil and mortar are evenly mixed in the mixing process through the layered mixing design, the number of times of multiple times of mixing is reduced, and therefore the construction period of the mixing pile is shortened.

The application discloses an evaluation method for the coordinated deformation behavior of an embedded sensor and asphalt mixture, and there is no specification and accurate evaluation method for the coordinated deformation behavior of the embedded sensor and the asphalt mixture at present. The evaluation method is used for obtaining the tire action times corresponding to the cracking of an asphalt mixture rut test piece, the tire action times corresponding to the sensor misalignment node, and the tire action times corresponding to the sensor failure node as evolution evaluation indexes, and the coordinated deformation behavior between the sensor and the mixture is calculated and evaluated by using the three evolution evaluation indexes. The application can obtain the service life of the embedded sensor intelligent sensing structure under different load sizes and loading frequencies, is beneficial to subsequent determination of the best embedding process, embedding position of the sensor and mixture mix design matched with the deformation of the sensor or other related key parameters, and provides accurate data support for the design of a long-service-life and high-precision intelligent road embedded sensing system.

The invention discloses a method for calculating the mixing amount of an ellipsoidal crack self-repairing agent. The method comprises the following steps: (1) determining reference concrete parameters, and particle size characteristics and apparent density of the ellipsoidal crack self-repairing agent; (2) calculating the theoretical dosage upper limit and dosage lower limit of the ellipsoidal self-repairing agent; and (3) self-repairing concrete is prepared, and the optimal mixing amount of the ellipsoidal self-repairing agent is determined according to the self-repairing effect of the test crack. According to the calculation method, the defect that a calculation method for the mixing amount of the ellipsoidal self-repairing agent does not exist at present is overcome; the mixing amount method is based on the size characteristics of the repairing agent particles, and the calculation result is more accurate; the design method for the mix proportion of the self-repairing concrete is small in test workload, and the optimal mixing amount of the ellipsoidal self-repairing agent can be quickly determined; according to the calculation method, an approximation method can be used for compatibly designing approximately spherical repairing agent particles, and the application range is wider.

The present application relates to the technical field of road engineering, in particular to a kind of low-carbon durable recycled asphalt concrete preparation and its performance evaluation method, comprising: aging asphalt / SBS polymer activity and its content detection and calculation;Low-carbon durable recycled asphalt design;Low-carbon durable recycled asphalt concrete preparation;Recycled asphalt concrete long-term performance evaluation.The present application innovatively proposes recycled technology based on aging asphalt performance regulation, breaks through the design limitation of traditional recycled asphalt concrete by constructing "material-structure-performance" multidimensional correlation model, and finally forms a complete technical system covering raw material evaluation, mix design, construction quality control and performance prediction, which provides theoretical support and technical support for realizing the high-value and large-scale application of RAP.

The invention relates to an airport pavement autoclaved ceramsite lightweight aggregate concrete mix proportion design method, and belongs to the technical field of road engineering materials. Comprising the following steps: preparing and pretreating test raw materials; designing a mix proportion; carrying out laboratory preparation; curing the concrete member; and measuring the original performance. Multi-source data are analyzed through intelligent means in combination with conditions such as environment, load and application, the material component proportion is dynamically optimized, and the composite mix proportion design method is formed. The problems that an existing airport pavement is large in thickness, large in resource consumption, low in field construction efficiency, poor in quality, single in pavement material design optimization and the like are solved.

This invention discloses a concrete mix design and manufacturing method for underground engineering concrete in a coupled environment of underground environment and load, relating to the field of underground engineering concrete technology. It aims to address the problem that traditional concrete mix design does not fully consider the coupling effect of underground environment and load. The underground environment includes groundwater erosion, wet-dry cycle, and temperature fluctuation; the load includes stress ratio. α s Dynamic load frequency and dynamic load amplitude α d This leads to technical problems such as insufficient erosion resistance, crack resistance, and mechanical stability of concrete, resulting in a short service life. This mix design is based on quantitative analysis of coupled environmental parameters. With cement, composite admixtures, recycled aggregates, modifiers, water, and additives as core components, the basic mix proportion is determined through a mapping model between "environment-load" coupled parameters and component content. The target mix proportion is then obtained through orthogonal experimental optimization. The manufacturing method includes four core steps: raw material pretreatment, graded mixing, gradient curing, and coupled environmental simulation curing.

This invention discloses an intelligent design and preparation method for low-cement-content sprayable engineering cement-based low-carbon composite materials, belonging to the field of composite material mix design. The method includes: constructing a multi-objective genetic optimization intelligent framework integrating raw material performance and carbon emission data to collaboratively optimize mechanical properties, workability, and low-carbon targets during the design phase, achieving precise pre-control of carbon emissions. A synergistic reinforcement design using recycled PE fiber networks and multi-microporous slurry is employed, replacing cement and natural aggregates with a large amount of recycled sand, recycled micropowder, and fly ash, reducing cement content to 210-300 parts. While ensuring rapid hardening, high toughness, and good sprayable construction performance, the material's implicit carbon emissions are significantly reduced. The resulting composite material achieves a 28-day compressive strength of 50-65 MPa, with net carbon emissions approaching zero, making it suitable for green building and rapid engineering repair applications.

The present application relates to a kind of coal-based solid waste-based cementitious material mix design method and system, belong to building material technical field.The present application method includes: (1) establishing coal-based solid waste-based cementitious material test database;(2) according to target working performance, match test database to obtain several test mix proportions;(3) according to vitreous body content and the difference of each raw material activity index jointly correct the amount of corresponding raw material in each test mix proportion, obtain corresponding modified mix proportion;(4) according to modified mix proportion and curing condition, sample preparation and curing are carried out, obtain test coal-based solid waste-based cementitious material and carry out working performance test;(5) screen out the modified mix proportion corresponding to the target working performance, then obtain the most suitable modified mix proportion by raw material configuration and economic analysis.The present application can design mix proportion according to the change of raw material and demand performance in actual engineering, ensure that the working performance of material meets the engineering demand and economic requirement.

This invention relates to fiber-reinforced modified concrete and its preparation method, belonging to the field of concrete technology. The fiber-reinforced modified concrete contains modified steel fibers. The modified steel fibers are obtained by surface treatment of steel fibers with hydrolyzed polymaleic anhydride and a silane coupling agent as surface modifiers. The silane coupling agent contains alkyl chains with 4 to 8 carbon atoms. Based on existing concrete mix design systems, this invention introduces modified steel fibers obtained by treating with a specific surface modifier composed of hydrolyzed polymaleic anhydride and a silane coupling agent with a suitable carbon chain length. This not only significantly improves the mechanical properties of concrete but also enhances its resistance to freeze-thaw cycles, thereby meeting the stringent requirements for concrete strength and freeze-thaw resistance in special environmental conditions such as high-altitude and cold regions.

The invention relates to a mix proportion design method and application of machine-made sand concrete doped with a dry cleaning and slurry wrapping medium, and aims to solve the technical problem of efficient resource utilization of the dry cleaning and slurry wrapping medium of a concrete mixing truck. By means of the machine-made sand concrete mix proportion design method, the slurry wrapping medium generated by dry cleaning of a concrete mixing truck can be completely utilized in a resource mode, the concrete mix proportion design efficiency is improved, the test period is shortened, the cement consumption is reduced, and the economic cost is reduced; the environment pollution caused by waste water and waste slurry generated by washing the concrete mixing transport vehicle is avoided, the development of the dry cleaning technology of the concrete mixing transport vehicle can be promoted, no waste is generated in cleaning of the concrete mixing transport vehicle, and the clean and sustainable green development of the premixed concrete industry is promoted.

The application discloses a kind of self-compacting geopolymer concrete mix design methods considering arid cold region, and the application relates to the technical field of concrete mix design.It includes the following steps: obtaining self-compacting geopolymer concrete samples with different mix proportions, testing their flow characteristic parameters including T500 flow time, emptying time, setting time and mechanical characteristic parameters after hardening.Map the mix proportion and the corresponding parameters to generate a training sample set, and based on the set, establish a neural network model, and train to obtain a feature prediction model.Generate different mix proportion combinations through the known material addition range, input the feature prediction model to predict the flow and mechanical characteristic parameters.Calculate the mechanical performance parameters and combine the flow characteristic parameters to construct a fitness function.Using genetic algorithm to optimize the mix proportion combination, get the scheme with the highest fitness value, provide reliable protection for building construction in arid and cold regions, improve the safety and durability of the project.

This invention discloses a high-crack-resistant cement-fly ash stabilized base course material, belonging to the field of road engineering technology. The material comprises the following components by mass percentage: 2.0-3.0% cement, 16-20% fly ash, and the balance being stabilized aggregate. The cement is an external admixture, the fly ash is an internal admixture, and the gradation of the stabilized aggregate conforms to the specifications of CF-A-2L or CF-A-2S in JTG / T F20-2015. This invention, by adopting a "low cement, high fly ash" mix design, controls the 7-day unconfined compressive strength within a reasonable range of 3.5-4.5 MPa, effectively avoiding the problem of regular transverse cracks in the base course caused by excessively high early strength. Simultaneously, the high fly ash content ensures the continuous growth of the material's later strength, with its 21-day unconfined compressive strength remaining stable above 6 MPa. Its overall performance is superior to the mix ratios recommended by current standards. This invention is particularly suitable for highway base course construction in arid regions with large temperature differences, such as Xinjiang.

The application discloses a kind of based on mix design's containing alkali residue multi-source solid waste cementing material proportioning optimization method, for obtaining the best five kinds of solid waste component proportion according to preset cementing material performance target, wherein alkali residue is used as alkaline excitation component, determines test point using D optimal mix design method, establishes three-order standard polynomial model, sets the constraint condition of each solid waste component, carries out net paste 3 days compressive strength and 28 days compressive strength test to each test point, obtains the first fitting model based on compressive strength response and the second fitting model based on response according to test data, according to preset performance target, according to the first fitting model and the second fitting model, the optimal five kinds of solid waste component proportion are obtained by solving using multi-objective optimization algorithm;The method solves the problems of low efficiency and high cost of traditional trial-and-error method, realizes the scientization and standardization of multi-source solid waste cementing material proportioning design.

A cohesive-based high-slump pumped concrete mix design method for road construction is disclosed. This method involves determining the allowable value of the pressure bleeding rate of the concrete; conducting trial mix design based on the design parameters of the concrete pavement and calculating the standard value of the pressure bleeding rate; calculating temperature correction factors and transport time correction factors; adjusting the standard value of the pressure bleeding rate based on these factors to calculate the design value of the pressure bleeding rate; and determining whether the design value of the pressure bleeding rate meets the allowable value. This cohesive-based high-slump pumped concrete mix design method can predict and ensure that the cohesiveness of the prepared concrete meets construction requirements during the mix design stage, thereby guaranteeing concrete quality.

This application discloses a density-based mix design method for fluidized solidified soil, comprising: determining the design density of the fluidized solidified soil; determining the water-to-solid ratio of the fluidized solidified soil based on fluidity requirements; determining the cement admixture ratio and curing agent admixture ratio of the fluidized solidified soil based on strength requirements; and obtaining the corresponding dosages of water, cement, curing agent, and wet soil. This application innovatively designs the mix proportion of fluidized solidified soil from a density perspective, effectively ensuring the rationality and accuracy of the density of the prepared fluidized solidified soil. This results in a density lower than that of the silt on the seabed in marine reclamation projects, thereby guaranteeing the construction quality of fluidized solidified soil reclamation projects.

The invention relates to the technical field of self-compacting concrete, in particular to super-mass steel box concrete and a mix proportion design method. The method comprises the following steps: step 1, determining an initial mix proportion D0 = (W10, W20, W30, W40, W50, W60) T according to performance parameters of concrete; step 2, adjusting the design range of each component of the concrete by taking the initial mix proportion as a benchmark to form a to-be-selected mix proportion set D; 3, concrete mixing is conducted according to all the to-be-selected mixing ratios, and adiabatic temperature rise calculation, shrinkage testing, compressive strength testing and self-compacting performance testing are conducted; and 4, selecting an optimal mix proportion D * by adopting an optimal mix proportion decision model. The concrete has multiple performance objectives of self-compaction, low shrinkage, low temperature rise and high crack resistance at the same time, is suitable for design of the concrete mix proportion in a bridge tower steel box of an extra-large bridge, and improves the durability of the bridge.

This invention provides a method and system for controlling the stability of steel slag aggregate, belonging to the technical field of steel slag aggregate stability control. The method determines the degree of specimen damage under different combinations of maximum steel slag particle size and dosage through autoclaving accelerated testing. The degree of damage is quantified into a continuous stability index according to a preset grading standard. A quadratic polynomial regression model is established between the stability index and the maximum steel slag particle size and dosage, which also includes interaction terms for particle size and dosage. Based on the model and a preset engineering acceptable threshold, the maximum safe dosage or maximum allowable particle size of steel slag that meets the threshold requirement is calculated. The mix design of road base materials is then performed based on the calculation results. This invention achieves continuous quantitative characterization of the influence of steel slag particle size and dosage on stability, overcoming the shortcomings of existing technologies that rely on single-factor empirical limits and lack engineering back-calculation methods. It can improve the resource utilization rate of steel slag while ensuring stability.

This invention relates to a SCC mix design method and system based on the shear strength theory of cement paste. Its core lies in establishing a cement paste shear strength prediction model. This model quantitatively evaluates the shear strength of the cement paste under a proposed mix proportion and compares it with a pre-determined reasonable range. Then, through iterative adjustments to the cementitious material composition and water-cement ratio, the shear strength of the cement paste falls within the target range, thereby simultaneously optimizing the paste rheology and determining the final mix proportion. This invention achieves complete quantitative design from aggregate to paste, economically and efficiently preventing SCC segregation and maximizing the use of auxiliary cementitious materials to reduce the cost of self-compacting concrete.

This invention relates to a method for producing high crack-resistant concrete, comprising the following steps: Step S1: Raw material preparation, selecting low-heat hydration cementitious materials, continuously graded aggregates, high-performance water-reducing agents, and crack-resistant functional components; Step S2: Mix design, based on 60-day or 90-day strength design indicators, controlling the water-cement ratio ≤0.3, and the total replacement rate of mineral admixtures in the cementitious materials is 35%-40%; Step S3: Mixing, using a combination of step-by-step feeding and heating and stirring, the crack-resistant functional components and cementitious materials are heated and stirred at 85°C for 30-50 minutes for activation treatment, followed by the addition of aggregates, water, and water-reducing agents and stirring until homogeneous; Step S4: Temperature control and transportation, controlling the concrete placement temperature to not exceed 32°C. The crack-resistant components of this invention can generate expansive products such as ettringite during hydration, compensating for the chemical shrinkage, drying shrinkage, and temperature shrinkage of concrete, achieving an active crack-resistant mechanism of "compensating for shrinkage with expansion."