594 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 an anti-cracking reverse design method for early-age concrete. Comprising the following steps: acquiring material performance parameters; constructing a chemical-thermal-force-phase field damage model of the early-age concrete; constructing a constitutive relationship between early-age behaviors and stress-strain of the concrete; carrying out shrinkage cracking simulation calculation on the early-age concrete, and quantitatively evaluating the damage cracking risk of the early-age concrete by using a damage development index Idd. And performing crack resistance optimization design on the early-age performance of the concrete by using an orthogonal design method to obtain a crack resistance optimization result in the performance combination and development process of the concrete. According to the method, the damage development index peak value is taken as a control target, the shrinkage cracking risk of the early-age concrete structure under different material properties, development processes, constraints and curing temperatures can be quantitatively evaluated, the optimal design of the concrete mix proportion is guided, a large amount of test exploration is avoided, the manpower and material resource cost is reduced, and the method is suitable for large-scale popularization and application. The method has important significance on early crack control of a concrete structure and has remarkable progress.

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 relates to a desert environment C60 high-strength concrete production control method which comprises the following steps: establishing an intelligent temperature control system, stably maintaining the water temperature in summer at 25 DEG C or below through algorithm prediction and dynamic adjustment of the intelligent temperature control system, and monitoring and adjusting pre-cooling measures of aggregate and sand; a raw material temperature monitoring network is established, the raw material temperature monitoring network is deployed in a cement storage area, an aggregate storage yard and a water treatment area, data are collected in real time through the raw material temperature monitoring network, and an accurate basis is provided for a temperature control strategy; establishing a mix proportion dynamic adjustment algorithm: based on the collected temperature and humidity data, combining with a concrete performance model, automatically adjusting the proportion of cement, water, an additive and aggregate, and optimizing the performance of the concrete under different environmental conditions; a quality monitoring system of the whole process from mixing to pouring is established, concrete performance data are collected and fed back to the algorithm model, and the production process and the mix proportion design are continuously optimized.

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 relates to a design method for the mix proportion of carbonized 3D printing concrete and the carbonized 3D printing concrete. Carbon dioxide is introduced into cement-based printing slurry, the introduction amount of the carbon dioxide is controlled, and when the carbon dioxide is introduced into the cement-based printing slurry, the use amount of magnesium chloride is calculated according to the content of a carbonization reaction product CaCO3 and the proportion of calcite to aragonite in a required concrete mixture. Magnesium chloride and carbon dioxide are added into the cement-based printing slurry at the same time for full reaction, and finally the 3D printing concrete material is prepared. By adding magnesium chloride and generating aragonite type calcium carbonate, the thixotropic behavior of the material is improved, the constructability of the cement slurry is higher, the orientation of the nano-scale aragonite fibers is arranged according to the printing direction, the reinforcing and toughening effects are excellent, and the bending resistance, bending resistance and compressive strength are all improved.

The invention discloses a large-span stiff skeleton arch bridge skewback foundation mass concrete crack control method, and relates to the technical field of bridge engineering, and the system comprises the following components: S1, building a collaborative analysis model, S2, analyzing deformation influence, and S3, implementing crack control measures. The method has high pertinence and practicability by adjusting the concrete mix proportion, adding the admixture, setting temperature control measures and optimizing the reinforcement design, the concrete mix proportion and the cement dosage can be adjusted in a targeted mode through the concrete stress distribution condition and the stiff skeleton deformation condition obtained through the collaborative analysis model, and the construction efficiency is improved. The additive is added to reduce the adverse effect of hydration heat, meanwhile, effective temperature control measures are set according to the temperature field distribution condition, in addition, by optimizing the reinforcement design, the bearing capacity and crack resistance of the skewback foundation can be further improved, the crack risk of large-size concrete of the skewback foundation of the large-span stiff skeleton arch bridge is effectively reduced, and the service life of the large-span stiff skeleton arch bridge is prolonged. And the overall quality and safety of a project are improved.

The invention discloses a low-carbon concrete mix proportion design method, and relates to a mix proportion method for building materials. The invention aims to provide a method for designing the mix proportion of the low-carbon recycled aggregate concrete meeting the requirement of compressive strength when carbon emission of the concrete per cubic meter is limited. The low-carbon concrete mix proportion design method comprises the following steps: firstly, introducing a Boromi calculation formula of a relationship between 28-day compressive strength of common concrete and b / W, introducing a recycled coarse aggregate influence factor to reflect the influence of the doping of the recycled coarse aggregate on the performance of the recycled concrete, and taking the water absorption rate of the recycled coarse aggregate as a main influence factor of the influence factor; the method comprises the following steps: simplifying an expression of compressive strength of recycled aggregate concrete, selecting a single factor of water absorption of recycled coarse aggregate to represent an influence factor g of the recycled coarse aggregate, constructing a fitting regression equation of carbon emission of the recycled aggregate concrete and a substitution rate of the recycled aggregate, and finally obtaining a calculation formula of representing the strength of the recycled aggregate concrete by using the carbon emission.

The invention discloses a vertical management system for concrete production, transportation and pouring, and the system is characterized in that a concrete production task management system judges production demands according to a project concrete production plan and field demand feedback, and automatically arranges the production tasks of all concrete mixing stations according to the number of the mixing stations, the production capacity, the field demand condition and the concrete mix proportion; the concrete transportation management system obtains the position information of the equipment, determines the position information of the equipment according to the electronic fence data of the delimited area, judges the operation state of the equipment according to the change of the position information of the equipment, determines the operation efficiency information according to the state change, and issues a scheduling instruction; according to the concrete pouring management system, concrete sign-in judgment and pouring point pouring strength calculation are achieved through a sign-in judgment algorithm according to the position relation between the mixing truck and the pump truck, cluster dispatching management of a large number of equipment and facilities in concrete production, transportation and pouring sites can be achieved, and the production efficiency of dispatching operation is improved.

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 relates to ultrahigh-strength ultrahigh-toughness concrete and a preparation method thereof, and the process of the preparation method is as follows: designing the mix proportion of concrete slurry based on a close packing theory, and selecting a slurry formula with the fluidity of not less than 180mm and the initial strength of not less than 60MPa as a reference mix proportion; steel fibers are selected as end hook type steel fibers, a wood plate or a steel plate is used for formwork supporting according to the size requirement of the test piece, then a steel fiber cage is laid with the end hook type steel fibers within the supporting range, and the steel fibers are staggered with one another to form a macroscopic steel fiber space framework within the supporting range; preparing slurry according to a standard mixing ratio, then infiltrating the slurry into the built steel fiber space framework, and vibrating after the steel fiber space framework is completely infiltrated with the slurry; and then curing and form removal are performed to obtain the ultrahigh-strength ultrahigh-toughness concrete. The problem of agglomeration effect caused by too high fiber mixing amount is solved, and the unified requirements on the strength and toughness of concrete materials in engineering are met.

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 discloses high-performance concrete prepared from muck and a production process of the high-performance concrete, and relates to the technical field of concrete. The high-performance concrete prepared from the muck is characterized in that the high-performance concrete is prepared from cement, the muck, an active agent and water; wherein the weight part ratio of the cement to the muck to the active agent to the water is # imgabs0 #; wherein the # imgabs 1 # is the weight of the muck in unit volume, the # imgabs 2 # is the weight of the cement filled in the void volume of the muck, the # imgabs 3 # is the weight of the active agent filled in the void volume of the cement, and the # imgabs 4 # is the weight of the water determined based on the specific surface areas of the muck, the cement and the active agent. The concrete mix proportion is calculated by adopting a void volume filling method of unit volume; the submicron or nano-scale inorganic filling material is used for compacting pores and playing a role in rolling ball sliding among particles, so that the working performance of the concrete is improved.

The invention belongs to the technical field of concrete, and discloses a coarse aggregate three-gradation close packing void ratio prediction model for concrete and application, and the model is constructed according to the following steps: establishing a database containing single-gradation and three-gradation shape characteristic parameters of coarse aggregate and close packing void ratios, the method comprises the following steps: respectively establishing prediction models of the close packing void ratio of coarse aggregate three-grading influenced by morphological characteristics, side wall effects and grading on the coarse aggregate mixing ratio, and then combining to obtain the prediction model of the close packing void ratio on the coarse aggregate mixing ratio on the basis of the principle that the accumulation void ratio is reduced due to multi-grading coarse aggregate mixing and stacking. During application, the three-graded close packing void ratio of the coarse aggregate can be predicted according to the mixing ratio of the coarse aggregate for concrete. The prediction model and the application can be used for rapidly determining the optimal solution of the proportion of the coarse aggregate in different concrete components in engineering practice, and are high in precision and convenient to use.

The invention provides a negative carbon lightweight aggregate concrete mix proportion design method and a preparation method. The negative carbon lightweight aggregate concrete is prepared from the following components in parts by mass: 196 to 300 parts of negative carbon lightweight aggregate, 100 to 200 parts of regenerated sand, 30 to 50 parts of regenerated micro powder, 30 to 50 parts of Bayer red mud powder, 30 to 50 parts of slag, 1 to 3 parts of sodium hydroxide, 5 to 10 parts of water glass, 25 to 45 parts of water and 0.1 to 0.5 part of a water reducing agent. The carbon-loaded lightweight aggregate takes bagasse biochar as a core, and a shell material composed of regenerated micro powder, Bayer red mud powder and slag is wrapped outside the carbon-loaded lightweight aggregate, so that the strength is improved; according to the invention, the carbon-loaded lightweight aggregate is developed through bagasse biochar, and compared with traditional stone, the carbon emission is a negative value, and the advantage of low carbon is obvious. Meanwhile, carbon emission in the whole process is considered, the concrete mix proportion is designed by taking negative implicit carbon emission as a target, and building and industrial solid wastes are adopted as raw materials, so that the manufacturing cost is reduced, and resource waste is reduced.

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 an open cut tunnel crack control structure and method based on the concrete performance gradient, and belongs to the technical field of concrete construction. The open cut tunnel crack control method based on the concrete performance gradient comprises the steps that S1, the expansive concrete mix proportion is obtained; s2, the maximum expansion joint distance allowed by the wall is obtained; s3, expansive concrete is poured, and after the expansive concrete is poured, common concrete is poured at the two ends of the expansive concrete immediately; and S4, curing the expansive concrete and the common concrete until a stable expansive concrete wall and a stable common concrete wall are formed. Through the combination mode of the expansive concrete wall and the common concrete wall, expansive concrete is only arranged in the area with the large shrinkage stress influence, the temperature stress of the overall structure is reduced, the tensile stress is always lower than the tensile strength of concrete, and the overall stability and durability of the structure are improved; therefore, cracks in the open-cut tunnel are reduced, and materials, construction and time cost are saved.

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 relates to a high-speed railway cement emulsified asphalt mortar mix proportion design method and system. The method comprises the following steps that design factors of cement emulsified asphalt mortar to be designed are input into a design model; the design factors comprise raw material types, usage and layout environment parameters; predicting and outputting a performance index corresponding to the to-be-designed cement emulsified asphalt mortar through the design model; the performance indexes comprise fluidity, expansion degree, working time, compressive strength, elasticity modulus and fatigue life; according to the performance indexes, the design factors of the cement emulsified asphalt mortar to be designed are adjusted and input into the design model, and the performance indexes corresponding to the adjusted design factors are obtained; and repeating the step of inputting and adjusting for multiple times until the optimal design factor meeting the performance requirement is obtained and output. The system and the equipment are used for executing the method. The method has the advantages of high design efficiency, short period, low cost and high accuracy.

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.