480 results about "Mix proportion" patented technology

The invention relates to an intelligent concrete mix proportion dynamic regulation and control method and system based on multi-objective optimization. The method comprises the following steps: acquiring a performance target parameter, a construction material performance parameter and a construction environment parameter associated with a current construction task; constructing a multi-objective optimization function according to the performance objective parameters; based on a multi-objective optimization function, inputting the performance objective parameters and the construction material performance parameters into a pre-trained multi-fidelity Bayesian joint optimization model to obtain a plurality of candidate mix proportions; and performing robustness disturbance planning on each candidate mix proportion according to the construction environment parameters, and determining the candidate mix proportion meeting the performance robustness and target tradeoff requirements as the construction concrete mix proportion. By the adoption of the method, under the condition that multiple requirements of strength, workability, economical efficiency and environmental protection performance are guaranteed, the concrete mixing proportion with high adaptability and controllable risk is dynamically provided for different construction tasks, and therefore the stability of engineering quality and the sustainability of construction are improved.

The invention relates to the technical field of concrete preparation, in particular to a mix proportion design method of fiber-compensating shrinkage self-healing concrete, which comprises the following steps: S1, determining a concrete formula and forming a final experiment matrix; s2, preparing first concrete samples according to the final experiment matrix, testing the multiple first concrete samples one by one, and collecting test parameters to form a database; establishing a concrete mix proportion prediction model according to the database; s3, inputting the actual environment temperature and humidity and the actual production parameters into the concrete mix proportion prediction model, and searching an optimal mix proportion by using an optimization algorithm; s4, verifying whether the optimal mix proportion meets a target or not; through systematized experimental design and data analysis, accurate customization of the concrete mix proportion is realized, the performance stability and adaptability of the fiber compensation shrinkage self-healing concrete are remarkably improved, and the research and development cost and time are effectively reduced.

The invention discloses a concrete mix proportion optimization method and system based on machine learning, and particularly relates to the technical field of intelligent proportioning of building materials, and the method comprises the following steps: constructing a mapping model of target performance indexes by using raw material performance parameters and historical trial matching data, cross-station mix proportion optimization is carried out based on real-time sensing data of a plurality of mixing stations, the resonance relation between the moisture content of raw materials and the iteration frequency of a model is monitored in the dynamic construction process, and a parameter smoothing and disturbance suppression mechanism is triggered to correct a mix proportion scheme. The corrected mix proportion adjustment scheme is applied to raw material controlled feeding of multiple mixing stations; according to the method, the quality of training samples is improved through unified data processing, a multi-dimensional mapping model is constructed to realize cross-mixing-station performance consistency optimization, and a resonance detection and disturbance suppression mechanism is introduced to ensure the stability and anti-interference capability of mix proportion adjustment under a dynamic construction condition; therefore, high-performance, low-cost and high-robustness concrete intelligent optimization control is realized.

The invention provides an AI-enhanced large mine water-doped concrete material performance prediction and mix proportion design integrated system, aiming at the key problem of large mine water-doped concrete material temperature control, the importance of different influence factors such as raw material-structure-environment and the like is comprehensively and quantitatively evaluated; aiming at a complex raw material system of the large mine water-doped industrial concrete, main features of a performance prediction model such as feature dimension reduction and weight calculation are optimized, and meanwhile, a machine learning algorithm combined with a self-attention mechanism is constructed so as to reduce interference of features weakly related to target performance, and the performance regulation and control capability of the large mine water-doped industrial concrete is enhanced. Furthermore, a multi / super multi-target optimization algorithm containing a constraint system is developed and integrated aiming at targets such as material key performance, carbon emission and cost in the preparation process, and a comprehensive and flexible data-driven solution is provided for temperature control, influence factor evaluation, performance regulation and control and proportion optimization of the large-mine water-doped concrete material. Therefore, the overall decision-making and design process is optimized.

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 discloses a multi-source data fusion foam concrete construction process monitoring method and system, and relates to the technical field of concrete construction, the method comprises the following steps: obtaining a standard response data set of foam concrete, including raw material ratio parameters and performance index parameters which are stored in an associated manner; constructing and training a hybrid hierarchical performance prediction model, wherein the model comprises a shared prediction layer based on integrated learning and a plurality of independent output layers connected with the shared prediction layer; in combination with a multi-objective optimization algorithm, by taking compressive strength and cost optimization as an objective, constructing an evaluation function for global optimization, and obtaining a target mix proportion scheme; acquiring real-time process data associated with the target mix proportion scheme, and inputting the real-time process data into the mixing layering performance prediction model to obtain a prediction result; and comparing with a preset design target, and generating an adjustment instruction for adjusting the matching parameters of the subsequent stirring batches. The problem that in the prior art, the performance fluctuation of foam concrete of different batches is large due to the fact that the construction condition cannot be dynamically adjusted in real time is solved.

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 pipe gallery concrete lining vibration quality monitoring method and system, and relates to the technical field of pipe gallery concrete lining construction monitoring, and the method comprises the steps: arranging a three-way vibration sensor network at a lining reinforcing mesh key node according to a pipe gallery structure cross-section diagram; acquiring original data of the three-way vibration sensor in real time, and preprocessing the original data to generate standardized vibration characteristic data; based on power spectrum density analysis, establishing a correlation model of the vibration characteristic data and vibration energy so as to calculate the vibration energy value of each area in the vibration process; according to a concrete mix proportion and a vibrator frequency parameter, establishing an association relationship among vibration energy, compactness and a bubble rate so as to calculate the compactness and the bubble rate; and comparing the calculated values of the compactness and the bubble rate with respective set reference values, triggering a dynamic regulation and control mechanism according to a comparison result, and generating a vibration quality report. And the efficiency and reliability of pipe gallery concrete construction are effectively improved.

The invention relates to the field of engineering digital detection, in particular to an aggregate grading analysis method and equipment based on digital screening, and the method comprises the following steps: acquiring three-dimensional surface information of an aggregate to be analyzed, and establishing an aggregate surface three-dimensional model; and de-noising the aggregate surface three-dimensional model to generate an aggregate cluster three-dimensional model. And carrying out segmentation processing on the aggregate cluster three-dimensional model, and outputting a plurality of single aggregate three-dimensional model files. And traversing the plurality of single aggregate three-dimensional model files, and calculating the screening size. And outputting a grading curve according to the sieving size. The problems that the efficiency of a traditional grading screening process is insufficient, and too much dust is generated on the site in the screening process are effectively solved, the method has the advantages in the aspects of precision, efficiency and green production, an innovative technical means is provided for aggregate screening, and therefore support is provided for improving the mix proportion design of concrete and asphalt mixtures; therefore, the performance of the engineering material is improved.

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 provides a proportioning component high-throughput optimization design method and system for concrete super-multi-target requirements, and relates to the technical field of civil engineering material and artificial intelligence combination. Comprising the following steps: (1) constructing a fitness function of key performance required by a concrete material project; (2) establishing a constraint system of knowledge and numerical values; (3) constructing a material continuous and discrete constraint nested concrete super-multi-target proportioning component optimization model; (4) solving a population of the concrete component proportion optimal solution set oriented to the multiple targets required by the project; and (5) performing high-throughput optimization of approximate Pareto frontier, a good and inferior solution distance method (TOPSIS), carbon emission model calculation and cost polynomial calculation on the component proportion optimization population. According to the method, effective design of concrete raw material types and mix proportion parameters which comprehensively consider a plurality of key performance requirements of concrete in engineering and carbon emission environmental and cost economy requirements can be realized.

The invention belongs to the technical field of concrete material design, and particularly relates to a data-driven concrete mix proportion multi-objective collaborative optimization method and system.The method comprises the steps that firstly, a concrete test data set is obtained, and the concrete test data set comprises concrete components, the curing age and the compressive strength; then, a BP neural network model is trained by utilizing the concrete test data set, and a multi-objective optimization model is constructed by taking cost minimization and carbon emission as objectives on the premise of preset compressive strength based on the trained BP neural network model; and finally, solving the multi-objective optimization model to obtain a Pareto optimal solution set, and outputting an optimal concrete mix proportion scheme under preset compressive strength. According to the method, concrete compressive strength constraint is set, only double-objective optimization needs to be considered, the calculation efficiency can be improved, meanwhile, the curing age of the concrete is taken into consideration during compressive strength prediction, and the accuracy of a compressive strength prediction result can be improved.

The invention belongs to the technical field of optimization design of concrete materials, and particularly relates to a multi-objective optimization method of a strain hardening alkali-activated concrete material, which comprises the following steps: selecting an experimental material, setting a plurality of alkali-activated mortar mixing ratios, and predicting the performance of alkali-activated mortar based on a response surface method; performing parameter analysis based on the response curved surface model, and constructing a response index prediction model; based on the response index prediction model, defining basic parameters; the response indexes are considered, alkali-activated mortar multi-objective optimization is carried out through an NSGA-II algorithm, and a Pareto leading edge is obtained; determining an optimal compromise solution set based on a Pareto leading edge; based on the optimal compromise solution set, determining the objective weight of each response index by adopting an entropy weight method; based on the determined objective weight of each response index, performing multi-target evaluation on the alkali-activated mortar mix proportion in the optimal compromise solution set by adopting an ideal approximation algorithm to obtain an optimized alkali-activated mortar mix proportion; and the performance optimization of the strain hardening alkali-activated concrete material is indirectly realized.

The invention discloses a concrete wind power mixed tower construction stage strength development dynamic control and early warning method comprising the following steps: constructing a three-dimensional strength development reference curve based on ultrahigh strength concrete mix proportion, wind power mixed tower structure design and construction environment characteristic parameters; monitoring units are arranged along the height of the cylinder wall, and the sampling frequency of the monitoring units is adaptively adjusted along with the maintenance period; acquiring strain, temperature and water content data in real time, and converting the data into a real-time strength development index; comparing with a reference curve to generate a deviation coefficient matrix, and triggering primary early warning when the deviation in any direction continuously exceeds a threshold value; a self-adaptive regulation and control mechanism is started, and adjustment is conducted according to the temperature or water content deviation; and when the standard is reached and the deviation is stable, a process release signal is generated, and the construction data uploading block chain is used for updating the reference curve. According to the invention, strength dynamic management and control and accurate early warning are realized, the construction safety, quality stability and efficiency are improved, and technology iteration is promoted.

The invention discloses low-carbon red-mud-based alkali-activated foam concrete and a preparation method thereof, and belongs to the field of low-carbon foam concrete. Specifically, the mix proportion and the preparation method of the low-carbon red-mud-based alkali-activated foam concrete are as follows: P.O42.5 ordinary Portland cement provided by building materials in Qingdao Weidong macro, the I-grade fly ash is S95-grade granulated blast-furnace slag produced by Henan Province Platinon Casting Material Co., Ltd., and Jinshu New Material Co., Ltd., the I-grade fly ash is S95-grade granulated blast-furnace slag produced by Henan Province Platinon Casting Material Co., Ltd. The Bayer process red mud powder is produced by Hebei Province Shihozhuangfei Mine Product Co., Ltd. The exciting agent is selected from an industrial liquid sodium silicate solution produced by Henan Jinmoistening New Material Co., Ltd. And solid sodium hydroxide particles with AR analytical purity of 96%; the admixture is selected from a TR-26C type polycarboxylate superplasticizer produced by Henan Fuhua Information Science and Technology Co., Ltd. And the foaming agent is a TR-E type animal protein foaming agent produced by Henan Zhuichun Information Science and Technology Co., Ltd. Compared with existing foam concrete, the low-carbon alkali-activated foam concrete provided by the invention uses a large amount of industrial solid waste, reduces the use cost, reduces the use amount of cement under the condition of ensuring the compressive strength, and is simple and convenient to operate, reasonable in process, low-carbon, environment-friendly, rapid in cement setting and hardening, and suitable for large-scale use.

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 discloses a recycled concrete precast pile mix proportion improvement method considering acid salt erosion influence, which comprises the following steps: firstly, determining an initial replacement rate and a water cement ratio of a building solid waste recycled concrete precast pile, and then establishing a mechanical property estimation model and a durability estimation model; judging whether the concrete mechanical property and durability of the precast pile meet the design standard or not under the condition of acid salt erosion; if so, completing the mix proportion improvement; if not, the concrete mix proportion is adjusted, and the mechanical property and the durability are evaluated again according to the pre-estimation model until the optimal mix proportion meeting the design requirement is found. The design of the building solid waste recycled concrete precast pile is optimized, and scientific basis and technical support are provided for practical engineering application. The problem that in the prior art, research on building solid waste recycled aggregate in soft soil foundation treatment application is insufficient is solved.

The invention discloses a design method of a high-ductility cement-based composite material, which comprises the following steps: S1, carrying out mix proportion design by using Box-Behnken in a response surface method, and designing a three-factor three-response test, the three factors being a water-binder ratio, a sand-binder ratio and a fiber mixing amount; s2, mixing and proportioning the materials according to the three factors in S1, and preparing to obtain the high-ductility cement-based composite material, s3, maintaining the high-ductility cement-based composite material obtained in the S2, and testing the three-response mechanical properties in the S1, wherein the three responses are compressive strength Y1, breaking strength Y2 and equivalent bending toughness Y3; and S4, analyzing the influence of the interaction of the three factors in the S1 on the three responses in the S3, establishing a response surface model equation through variance analysis verification, and verifying and optimizing a result to obtain an optimal mix proportion. A Box-Behnke method in RSM is adopted to establish a regression model with the water-binder ratio, the sand-binder ratio and the fiber mixing amount as influence factors and the compressive strength, the breaking strength and the equivalent bending toughness as response values.

A method of preparation of a foamed concrete, comprising the steps of; providing a cementitious slurry, comprising in wt% relative to the wt of the slurry, 60-70% of a cementitious material, 0.5-5% in

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 relates to the technical field of building materials, in particular to modified solid waste doped self-compacting low-carbon concrete and a preparation method thereof. The self-compacting low-carbon concrete is prepared from the following raw material components: cement, modified solid waste slurry, silica fume, modified solid waste aggregate, water and a polycarboxylic acid high-performance water reducing agent, the modified solid waste slurry is obtained by mixing solid waste mixed powder with water and modifying with a modifier in sequence; the modified solid waste aggregate is obtained by sequentially performing low-concentration hydrochloric acid solution soaking treatment, interface reinforcing agent rinsing modification treatment and drying treatment on solid waste mixed aggregate. By modifying and optimizing the solid waste, optimizing the mix proportion of the solid waste self-compacting concrete and preparing the special admixture for the solid waste self-compacting low-carbon concrete, the solid waste can stably play a role in the concrete, so that the mechanical property and durability of the concrete are improved, and the rheological property of the concrete can meet the requirements of the self-compacting concrete; according to the scheme, the low-carbonization effect can be achieved through waste utilization.

The invention discloses a vibration temperature control cooperative control method and system for concrete forming, and the method comprises the steps: building an initial prediction model of a vibration temperature control bidirectional coupling effect through concrete mix proportion parameters, historical vibration control parameters and initial temperature field data; the model is dynamically corrected through vibration time sequence data and temperature field space data which are collected in real time to obtain a real-time coupling effect prediction model, and then the real-time model is used for predicting the compactness deviation and the temperature gradient of the next control period; then vibration parameter adjustment amount and temperature control measure intervention intensity are calculated based on the predicted value through a multi-target collaborative optimization algorithm to generate a collaborative control instruction, and finally collaborative optimization of vibration and temperature control in the concrete pouring process is achieved according to the instruction. According to the invention, precise collaborative optimization of vibration and temperature control in the concrete pouring process can be realized, and the stability of concrete forming quality is effectively guaranteed.

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 discloses injection UHPC preparation for tunnel damaged lining reinforcement and a performance regulation and control method thereof, relates to the technical field of UHPC preparation, and aims to solve the problem that according to existing research results, indoor mix proportion design and outdoor injection tests are not combined, a mapping relation between mechanical properties and microscopic properties of injection UHPC is established, and performance system analysis of the injection UHPC is formed. The invention provides a spraying UHPC preparation and performance regulation and control method for tunnel damaged lining reinforcement, and the method specifically comprises the following steps: S1, designing a UHPC mix proportion, and carrying out an indoor pre-experiment; s2, based on an indoor pre-experiment result, optimizing the UHPC mix proportion in combination with a sprayed concrete forming process to obtain an optimized UHPC mix proportion; and S3, preparing UHPC by using the optimized mix proportion, carrying out an UHPC outdoor injection test, testing the mechanical properties and microscopic properties of different raw material compositions and the injected UHPC at the curing age, and establishing a mapping relationship between the two.

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 invention relates to the technical field of concrete, in particular to a high-strength and high-permeability concrete mix proportion design method based on aggregate characteristics. The method comprises the following steps: firstly, providing a dynamic multivariate prediction model for comprehensively analyzing a relationship between aggregate characteristics and concrete performance, and realizing selection scheme optimization of the aggregate characteristics through regression analysis of a strength and water permeability objective function; secondly, the invention provides an inertia self-adaptive particle swarm optimization algorithm, and by dynamically adjusting inertia weights and learning factors of particles, efficient solution and optimization of a dynamic multivariate prediction model are realized, optimal aggregate characteristic parameters are accurately searched and determined, and optimal balance of concrete performance is ensured to be realized under various requirements; finally, a cost calculation function is provided for the mix proportion of the high-strength and high-permeability concrete, the cost required by the mix proportion scheme is evaluated through accurate accounting of all raw materials and other costs, and a scientific economic decision basis is provided for design of the mix proportion of the concrete.

The invention relates to the technical field of concrete, in particular to anti-crack recycled concrete and a preparation method thereof. The anti-crack recycled concrete comprises the following raw materials in parts by weight: 30-35 parts of Portland cement, 15-20 parts of recycled aggregate, 12-15 parts of kaolin self-repairing microcapsules, 8-12 parts of basalt fibers, 10-12 parts of fly ash, 3-5 parts of silicon carbide whiskers, 4-6 parts of a polycarboxylate superplasticizer, 3-5 parts of a composite expanding agent and 12-14 parts of water. According to the anti-crack recycled concrete provided by the invention, the strength stability of the recycled concrete is improved, the anti-crack performance of the recycled concrete is improved, and the problem that the strength does not reach the standard due to the fact that the mix proportion of the recycled concrete is difficult to determine is solved.

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.