282 results about "Mix proportion" patented technology

The invention provides a seamless construction method and system for an ultra-long reinforced concrete structure, and relates to the technical field of concrete structure construction.The method comprises the steps that the length of the ultra-long reinforced concrete structure is judged, and when the one-way length of the structure is larger than a preset seamless control length threshold value, a target structure area is recognized; structural shrinkage deformation and temperature deformation analysis is carried out, and a target expansion reinforcing band is determined; determining a target concrete mix proportion decision; and after shrinkage-compensating concrete is poured, the construction state of each construction section is monitored in real time, the mixing amount of the expanding agent and the pouring sequence are fed back and adjusted, and seamless continuous construction is completed by alternately pouring internal and external concrete. The technical problems that in the prior art, post-cast strip construction is generally adopted and can only be carried out after initial concrete shrinkage is basically stable, the whole construction period is remarkably prolonged, the influence of external factors is likely to happen, and the construction period is further delayed are solved.

The invention discloses a low-carbon concrete mix proportion design method, which comprises the following steps of: constructing a multi-factor prediction model among a concrete workability index, a strength index, a durability index and a concrete mix proportion parameter, and setting the multi-factor prediction model as a constraint condition for concrete mix proportion optimization; taking economical efficiency and low-carbon property of the concrete mix proportion as double targets, and constructing a cost-carbon emission double-target optimization calculation model for optimizing the concrete mix proportion; and on the basis of meeting the constraint condition, solving a concrete mix proportion parameter combination which enables the target function value to be minimum. The invention further discloses the concrete. The method has the advantages that raw material actual cost accounting is used as a primary optimization target, the defect that economy is affected by unstable carbon price fluctuation in an existing comprehensive optimization method is overcome, and rigid economic benefits of the mix proportion are guaranteed.

The invention discloses a chlorine salt corrosion resistant prestressed concrete solid square pile and a construction method thereof, a cementing material of a pile body concrete body of the square pile comprises a mineral admixture accounting for 50%-70% of the total mass of the cementing material, and the cementing material adopts Portland cement; sacrificial anode blocks electrically connected with the main reinforcements are embedded in the pile body concrete body. The pile body concrete body is doped with a composite corrosion-resistant and rust-resistant agent; the outer surface of the pile body concrete body is coated with polyurea waterproof paint or epoxy seal primer. An electromigration type corrosion inhibitor and a microcapsule containing bacillus are doped into the pile body concrete body; the prestressed main reinforcements are steel reinforcements with anti-corrosion coatings; and fiber bragg grating sensors are pre-embedded around the prestressed main reinforcements. The mixing proportion of the concrete body of the pile body is specially designed for fixing and blocking chloride ions, an inapplicable sulfate-resistant cement scheme is abandoned, and the chlorine salt resistance is improved from the source of materials.

The invention belongs to the technical field of building design, and provides an optimization method and system based on the mix proportion of a heavy slag water permeable brick, and the method comprises the following steps: determining the mix proportion parameter of the heavy slag water permeable brick; establishing a performance data set of the heavy slag water permeable brick, and constructing a nonlinear mapping relation function between the mix proportion parameters of the heavy slag water permeable brick and the performance data set of the heavy slag water permeable brick; constructing a multi-objective function based on the nonlinear mapping relation function, establishing a multi-objective constraint condition, and constructing a multi-objective optimization data set according to the objective function and the multi-objective constraint condition; and performing weight analysis on each performance by adopting entropy weight TOPSIS, and substituting a weight value into the multi-objective optimization data set to determine an optimal mix proportion. According to the method, the RSM is combined with the NSGA-II and the entropy weight TOPSIS, so that the mix proportion is more accurate, and the adaptability is higher.

The invention belongs to the technical field of asphalt back-doping, and particularly relates to an old material and new material ratio optimization method and system for asphalt back-doping treatment, and the method comprises the steps: obtaining the performance parameters of old materials and new materials, the performance parameters comprising a fluidity parameter and a temperature parameter; determining a heating demand based on the temperature parameter; when the heating demand meets a preset heating capacity constraint, determining an optimal proportion between the old material and the new material based on the fluidity parameter, and generating at least one alternative proportion scheme according to a maximum allowable doping proportion of the old material, actual heat capacity of the old material, actual heat capacity of the new material and an allowable heating capacity upper limit; according to the method, the fluidity parameter and the temperature parameter are fused, and the proportion is dynamically corrected, so that the accurate determination of the proportion scheme is realized; through constraint verification of the heating process, effective activation of the performance of the old material is ensured; and by generating a substitution ratio scheme, the construction flexibility and reliability are enhanced, and the asphalt pavement quality and the engineering practicability are improved.

The invention provides a green concrete mix proportion optimization method and system, and relates to the technical field of mix proportion optimizing.The green concrete mix proportion optimization method comprises the steps that firstly, the dosage of cement, fly ash, slag powder, water and a water reducing agent serves as variables, the material cost and the predicted compressive strength serve as targets, and a Pareto solution set is generated through a multi-target optimization algorithm to serve as a preliminary scheme pool; thirdly, calculating the carbon cost efficiency of other schemes by taking the scheme with the lowest cost as a benchmark, and screening out a potential optimization scheme; then, through Monte Carlo simulation, considering the fluctuation of the water demand ratio of the fly ash, the activity index of the slag powder and the water-reducing rate of the water reducing agent, and evaluating the variable coefficient of the strength of each scheme so as to measure the robustness; and finally, carrying out weighted scoring on the normalized carbon cost efficiency and variation coefficient, and sorting according to a comprehensive score to select an optimal mix proportion. According to the method, the economical efficiency, the environmental protection property and the production robustness are comprehensively optimized on the premise of ensuring the performance of the concrete.

The invention relates to the technical field of constructional engineering, in particular to a temperature control anti-cracking process for mass concrete shear wall structural engineering. Comprising the following steps that raw materials of concrete are optimized, and the mix proportion of the concrete is determined; a layered and segmented pouring and alternate warehouse method is adopted for construction; the intelligent temperature control system is buried, and the temperature of the concrete is monitored in real time; after concrete pouring is completed, a dynamic heat preservation and maintenance process is carried out; dynamic stress release is carried out, stress monitoring and kerf release are carried out, and an early warning system is established; post-cast strip sealing and micro-expansion compensation are conducted; through the mode, the concrete temperature is accurately monitored in real time, the temperature change conditions inside and on the surface of the concrete are mastered in time, temperature control measures are dynamically adjusted according to actual temperature data, the temperature difference inside and outside the concrete is effectively controlled, and the crack problem caused by temperature stress can be effectively prevented.

The invention provides a high-strength and high-ductility damage self-repairing cement-based composite material based on spiral memory alloy fibers and a preparation method of the high-strength and high-ductility damage self-repairing cement-based composite material, and belongs to the technical field of underwater engineering concrete structures. According to the invention, the matrix mix proportion of the cement-based composite material and the hybrid reinforcement effect of the three fibers on the matrix are redesigned, so that the tensile strain capacity is also remarkably improved while the strength of the UHPSC is improved, and the deformation ductility and the cumulative energy dissipation capacity of the cement-based composite material are further remarkably enhanced; as the spiral superelastic SMA fibers have self-resetting capacity, restoring force can be provided for the unloaded cement-based composite material, tensile cracks of the cement-based composite material are promoted to be automatically closed or the width of residual cracks of the cement-based composite material is obviously reduced, and on the basis, the self-healing capacity of an incompletely hydrated cementing material in the cement-based composite material is matched, so that the self-healing performance of the cement-based composite material is improved. And the UHPSC material can present a good damage self-repairing effect.

The invention discloses an industrial solid waste based cementing material preparation and goaf subsequent filling application method, and belongs to the technical field of industrial solid waste resource utilization. 28.1 to 32.3 parts of granulated blast furnace slag and 11.3 to 14.2 parts of fly ash are used as core base materials, 19.2 to 22.8 parts of 42.5-grade cement, 3.2 to 3.8 parts of desulfurized gypsum and 2.3 to 2.7 parts of quick lime are used as auxiliary raw materials, and 0.15 to 0.20 part of polypropylene fiber is used as a modifier. The preparation method comprises the following steps: grinding the raw materials, carrying out drying pretreatment at 105 DEG C, carrying out dry mixing for 5 min according to a mass ratio until the components are uniform, adding 26.3-30.7 parts of water, and carrying out wet mixing for 5 min to prepare a cementing material slurry; synchronously preparing subsequent filling fine-grain industrial solid waste slurry, determining the mixing ratio of the two, mixing the slurry, and injecting the mixed slurry into a goaf through a ground grouting pump to complete subsequent filling. The 28d compressive strength of the cementing material reaches 55.6 MPa and is improved by 30.8% compared with pure cement, the fluidity of the cementing material is 190 mm, the cementing material is suitable for pumping, the cement replacement rate is 80%, the cost is reduced by 32% or above, the consumption of industrial solid waste per ton is larger than or equal to 0.85 ton, cooperation of industrial solid waste recycling and safe goaf filling is achieved, and the cementing material is suitable for high-humidity and complex-stress working conditions.

The invention provides a power transmission and transformation project concrete mix proportion optimization method considering drought and cold region constraints, and relates to the technical field of design optimization. Key parameters are randomly allocated, and a time partition concept is adopted, so that the flowability and the hardening performance are respectively optimized in a concrete generation stage and a concrete hardening stage; through double screening of a fluidity index vector and a hardening index vector, the method ensures that the concrete has excellent resistance in a freeze-thaw cycle, and the service life of the structure is prolonged; the time position of the minimum freezing and thawing cycle number is selected through a simulation experiment, the defect that freezing and thawing influences are neglected in a traditional method is effectively overcome, the durability and reliability of concrete under the extreme weather condition are remarkably improved, and the optimization method can effectively reduce material waste and construction cost and is suitable for popularization and application. An economical and efficient solution is provided for concrete construction in the drought and cold areas, and the method has wide application prospects.

This invention provides a method for predicting the service life of concrete under alkali-aggregate reaction failure. Based on the kinetics of alkali-aggregate reaction expansion and the theory of temperature acceleration, the method first determines the activation energy Ea of the alkali-silica reaction expansion of reactive aggregates through accelerated tests at different temperatures. Then, concrete specimens are prepared using actual engineering mix proportions, and accelerated temperature tests are conducted in a simulated pore solution at 70℃ to obtain the time t1 required for the expansion rate to reach the failure threshold of 0.040%. Finally, based on the Arrhenius equation, a mathematical model is established comparing the failure time of the concrete specimens under accelerated temperature conditions with the failure time of the concrete in the engineering structure, and the service life t2 of the concrete under engineering conditions is calculated. This invention solves the problems of existing technologies lacking a unified physical basis and being difficult to quantitatively extrapolate, improving the engineering applicability and universality of service life assessment, and providing a scientific basis for the long-term safety evaluation of major infrastructure such as hydraulic engineering and transportation.

1. The name of the design product: multifunctional asphalt foaming tester. 2. The use of the design product: used for testing the foaming effect of asphalt in the laboratory environment, determining the mix proportion of warm mix foamed asphalt mixture and foamed asphalt cold recycled mixture. 3. The design points of the design product: the combination of shape and pattern. 4. The picture or photo that best shows the design points: perspective view 1.

This invention provides an ultra-high ductility cement-based composite material for marine engineering and its preparation method. The ultra-high ductility cement-based composite material comprises, by weight, the following raw materials: 250-500 parts cement clinker, 400-600 parts fly ash, 200-300 parts mineral powder, 100-150 parts silica fume, 160-240 parts metakaolin, 600-900 parts quartz sand, 10-20 parts organic synthetic fiber, 20-30 parts organic rust inhibitor, 180-240 parts water, and 1-8 parts water-reducing agent. The organic rust inhibitor provided by this invention can inhibit steel corrosion and chloride ion intrusion into concrete through the dual effects of binding chloride ions and forming a passivation film, thereby improving concrete durability. By controlling the mix proportions of the four mineral admixtures and the dosage of the synthetic fiber component, the concrete can better balance high strength, high ductility, high durability, high flowability, and excellent resistance to deformation.

This invention provides a method, system, and equipment for optimizing the mix proportions of rubber concrete, belonging to the interdisciplinary field of building materials design and artificial intelligence. The method includes: constructing a high-precision prediction model for compressive strength and relative dynamic elastic modulus using Bi-LSTM, which serves as the fitness function during the optimization process. Furthermore, three optimization objectives are introduced. NSGA-III is enhanced by introducing chaotic perturbations and an adaptive evolution mechanism, thereby improving the convergence and diversity of the solution set in the high-dimensional objective space. Based on this, a three-objective optimization framework involving compressive strength, cost, and relative dynamic elastic modulus is established, enabling a coordinated balance among these three objectives in the mix proportion design of rubber concrete. This method solves the problem of insufficient optimization of rubber concrete mix proportions.

The present application relates to the technical field of patching material mix ratio determination, and particularly relates to an underwater patching material mix ratio determination method. A plurality of initial underwater patching material mix ratios are obtained; initial compressive strength, initial splitting tensile strength and initial fluidity corresponding to each initial underwater patching material mix ratio are determined; a multi-objective fitness function is constructed based on the initial compressive strength, the initial splitting tensile strength and the initial fluidity corresponding to each initial underwater patching material mix ratio; and each initial underwater patching material mix ratio is optimized based on the multi-objective fitness function to obtain a target underwater patching material mix ratio. The traditional trial-and-error test method is replaced, the test workload is greatly reduced, and the mix ratio research and optimization efficiency is improved. The engineering adaptability and application reliability of the target underwater patching material mix ratio are ensured, and the core engineering goals of the underwater grouting repair, defect repair and bearing capacity recovery are achieved.

The invention belongs to the technical field of misfire concrete construction, and discloses a vacuum vibration integrated construction method for misfire concrete. Comprising the three stages of pretreatment before construction, vacuum vibration integrated operation and later maintenance and quality control. Before construction, interface bonding is optimized through brushing of a base layer interface treating agent and preparation of concrete with a special mixing proportion; layered pushing pouring is adopted in the operation stage, quincunx-shaped precise vibration and negative pressure vacuum adsorption are cooperated, and the compactness of concrete is improved. In the later stage, through double-layer moisturizing maintenance and real-time crack monitoring and repairing, water evaporation and crack expansion are controlled. The method is suitable for small-area flammable and explosive places, the cracking rate of the misfire concrete can be reduced to 0, the 28d compressive strength is larger than or equal to 32 MPa, no spark is generated during metal collision, the construction period is shortened by 25-30% compared with a traditional technology, and the method is suitable for oil pump houses, electronic explosion-proof workshops and other scenes with high requirements for ground fire-proof and explosion-proof performance and crack resistance and has remarkable safety benefits and economical efficiency.

The utility model discloses an underwater concrete pouring device for simulating a large water depth environment in the technical field of underwater concrete construction, which comprises a container assembly, a mold assembly arranged in the container assembly, a guide pipe connected to the middle of the top of the container assembly, a support arranged at the top of the container assembly, and a floating ball arranged in the guide pipe. The right side of the top of the container assembly is connected with an air pipe, and the end, away from the container assembly, of the air pipe is provided with a vacuum pump. The container assembly, the guide pipe, the floating ball, the mold assembly, the air pipe, the vacuum pump, the discharging hopper and the lifting rope are arranged in a matched mode, the pressure difference in the underwater pouring process is created in the mode that the vacuum pump sucks negative pressure, and underwater concrete pouring under the actual working condition is conducted by simulating the pressure difference under the large water depth condition. A test basis is provided for selecting a concrete mix proportion test under a real pouring condition, and the optimization of a concrete formula is facilitated.

The invention relates to an intelligent concrete spraying construction method and system for a large-span arc-shaped roof. The method comprises the steps of system deployment, path planning, intelligent spraying, axial displacement and multi-layer spraying and quality monitoring. The system comprises a mobile platform, a track system, an execution mechanism, a sensing system, a concrete proportion regulation and control module, a pipeline collaborative management system and a central control system. Through cooperation of special equipment and intelligent control, the problems of flow falling, rebound and thickness control are systematically solved, and finally high-quality and high-efficiency automatic construction on the large-span arc-shaped roof is achieved.

The invention relates to the technical field of concrete configuration, in particular to a UHPC mix proportion design method based on early hydration dynamic adjustment, comprising: acquiring preparation information and ambient temperature of current concrete, the preparation information comprising stirring time, stirring mode, planned addition amount of cementing material and basic data; determining a first hydration influence rate of the cementing material based on the stirring time, the stirring mode and the basic data; determining a second hydration influence rate of the cementing material based on the influence degree of the environment temperature on the cementing material; based on the first hydration influence rate and the second hydration influence rate, the adjustment amount and the actual addition amount of the cementing material are calculated; inputting the actual addition amount, the required concrete performance parameters and the required working performance parameters into a pre-constructed database to obtain addition amounts of other components; by quantifying the influence of dynamic factors, the use amount of the cementing material is determined, other components are matched, and the design reliability of the mix proportion is improved.

The application discloses a kind of mechanism sand tailings fine powder concrete mix proportion design method, and the design method of mechanism sand tailings fine powder content includes: S1, determine the initial proportion of cement and mechanism sand tailings fine powder in concrete mix proportion, add water and cement, mechanism sand tailings fine powder is mixed, and mixed material is obtained;S2, fill standard test container;S3, calculate the packing density of mixed material;S4, gradually reduce the amount of water, repeat S1-S3, obtain the closest packing density of cement and mechanism sand tailings fine powder initial proportion;S5, change the proportion of mechanism sand tailings fine powder, repeat S1-S4, obtain the closest packing density of different cement and mechanism sand tailings fine powder proportion, determine the mixing amount ratio of mechanism sand tailings fine powder in cement.The method can fully consider the filling effect of mechanism sand tailings fine powder in concrete cementing system, and more accurately control the mixing amount range of mechanism sand tailings fine powder in concrete.

The invention provides a machine-made sand mortar performance regulation and control method based on hydration kinetics, and relates to the technical field of building materials. The method comprises the following steps: preparing and testing machine-made sand with different stone powder contents, gradation and flaky particle contents, determining a standard mix proportion of mortar, and testing the macroscopic performance of the mortar; hydration kinetic parameters are extracted through a hydration heat test, and the content of chemically bound water is obtained through thermogravimetric analysis; establishing a quantitative relation among the machine-made sand parameters, the hydration kinetic parameters and the macroscopic performance by utilizing correlation analysis, and determining key control parameters; and a machine-made sand parameter regulation and control principle taking hydration kinetics as a core is formed. According to the method, the mix proportion design is guided from the microscopic hydration mechanism level, the trial mixing workload is remarkably reduced, and the scientificity and efficiency of the mix proportion design are improved.

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 provides an intelligent experimental decision-making method and device for foamed lightweight soil mix proportions, relating to the field of building material design technology. The method includes: acquiring experimental data of multi-source foamed lightweight soil and preprocessing it to obtain a standardized tabular dataset; using the standardized tabular dataset as context input to a pre-trained tabular prior data fitting network model to obtain performance prediction values; employing the SHAP value analysis method to calculate the contribution value of input features to the performance prediction values, thus obtaining the contribution relationship between input features and performance prediction values; using the tabular prior data fitting network model as the performance prediction model, establishing a multi-objective optimization model by combining material cost and material density, and setting constraints based on the contribution relationship; and using a non-dominated sorting genetic algorithm to solve the multi-objective optimization model, searching for a set of Pareto optimal mix proportion schemes. This invention can automatically search for Pareto optimal mix proportion schemes, improving the efficiency of mix proportion design.

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 invention relates to the technical field of cement stabilized macadam proportioning, and discloses an anti-crack cement stabilized macadam mix proportion design method based on a simulation test, and the method comprises the steps of raw material preparation, mix proportion primary selection, simulation test design, test piece preparation and maintenance, simulation test implementation, data analysis and optimization, and on-site verification. The mechanical property, the crack resistance and the durability of the cement stabilized macadam under different mix proportions are evaluated by simulating temperature cycle, humidity change and load actual environmental conditions, so that the mix proportion design is optimized, the crack resistance of the cement stabilized macadam is improved, and the service life of a road is prolonged. The method is scientific, reasonable and high in adaptability, can be widely applied to construction of various roads and infrastructures, and has remarkable social and economic benefits and popularization and application value.

The present disclosure relates to the technical field of precast concrete, and provides a method for quickly optimizing the mix proportion of a precast concrete component, comprising: determining a concrete standard curing design strength and a concrete quick precast curing design strength that the precast concrete component needs to reach; predetermining a mix proportion of concrete, and preparing two groups of concrete test pieces according to the mix proportion; curing the concrete test pieces by using an actual quick precast curing method and a constant-temperature quick curing mode, and then measuring the strength of the concrete test pieces by using a standard test method after the curing ends; and comparing the measured strength with the design required strength until the requirement is met. By using the present disclosure, the test and adjustment period of the concrete can be greatly shortened, the production progress of the precast component is accelerated, the problem of a long optimization period of the mix proportion of the traditional precast concrete component is solved, the dependence of the adjustment of the mix proportion of the concrete on engineering experience is reduced, and the present disclosure has good scientific guidance and promotion value.

The invention discloses ship lock large-volume air-entraining concrete and a pouring vibration exhaust method, and belongs to the technical field of concrete.The ship lock large-volume air-entraining concrete is prepared from 130-160 kg / m < 3 > of cement, 50-70 kg / m < 3 > of fly ash, 50-70 kg / m < 3 > of mineral powder, 600-750 kg / m < 3 > of sand, 1300-1500 kg / m < 3 > of gravel, 3-5 kg / m < 3 > of a water reducing agent, 90-130 kg / m < 3 > of water and 3-4 kg / m < 3 > of an air-entraining anti-cracking agent according to the mixing proportion; a nano-scale super absorbent material is adopted as an air-entraining anti-cracking agent, internal humidity is maintained and a temperature peak value is reduced through water absorption and slow water release, and corresponding nano micropores are reserved in a microstructure through water release and polymer shrinkage, so that the effects of enhancing mechanical properties and resisting cracking after air entraining are achieved.

The invention relates to the technical field of asphalt road construction, in particular to an asphalt road construction method which comprises the following steps: S1, technical preparation; s2, construction preparation; s3, construction of a test section; s4, mixing an asphalt mixture; s5, transporting and paving; s6, compacting and forming, including initial pressing, re-pressing and final pressing; s7, joint treatment is conducted; s8, detecting and accepting: detecting and controlling a construction process: monitoring the paving temperature, paving quality, thickness, compactness and flatness in real time, and controlling and adjusting in time; detection after molding and finished product acceptance: the acceptance content comprises construction process detection data, anti-skid performance detection, water seepage performance detection and deflection detection; s9, maintaining and opening traffic; before construction, technical preparation is carried out, road structure design, material selection, mix proportion design and drainage design are carried out in detail according to the traffic condition and the soil matrix rebound modulus to serve as the theoretical basis of follow-up construction, and construction management is more scientific, rigorous and efficient.

The invention discloses a mortar fluidity evaluation model and a mix proportion inverse calculation method thereof, and belongs to the technical field of building materials.The method comprises the steps that aggregate comprehensive characteristic indexes are built by quantifying the stacking density, the specific surface area and grain shape correction parameters of aggregate; based on a cement paste volume balance principle, establishing a paste film thickness quantification model containing aggregate gap filling and surface wrapping; accurate evaluation of the fluidity is realized through a correlation model of the slurry film thickness and the mortar fluidity; and finally, based on the target fluidity, reversely deducing to obtain mortar mixing ratio parameters (water-cement ratio, mortar-sand ratio and the like) meeting the requirements. The method solves the problems that the traditional method cannot quantify the multi-feature coupling influence of the aggregate, the fluidity evaluation error is large, and the mix proportion design depends on experience, realizes the accurate prediction of the mortar fluidity and the efficient back-stepping of the mix proportion, is suitable for various aggregates such as natural sand, machine-made sand, shaping sand and the like, and provides a scientific basis for the mortar engineering application.

A method for mix proportion design of aluminum formwork concrete and a construction optimization system, the method comprising: collecting data of multiple aluminum forms to obtain a form data set; collecting multiple construction data during pouring of concrete to obtain a construction data set; identifying multiple finished concrete products based on image recognition technology to obtain a bubble defect data set; inputting the form data set, the construction data set and the bubble defect data set into a machine learning model to obtain a bubble probability prediction model; inputting multiple construction schemes into the bubble probability prediction model to obtain corresponding multiple bubble prediction results; selecting a construction scheme with the minimum bubble probability from the multiple bubble prediction results to obtain a corresponding target concrete mix proportion. By using the model to predict the relationship between the mix proportion and the surface bubble probability, the method can overcome the blindness of the empirical method, avoid a large number of trial and error, and quickly determine the optimization scheme of the mix proportion.