390 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 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 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 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 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 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 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 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 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 application belongs to the technical field of engineering materials, and particularly relates to a mixing ratio design method and a production method of steel slag replacing coarse aggregate concrete. The application comprises the following steps: determining a replacement rate; obtaining a conversion coefficient; obtaining a calculated strength; obtaining a prepared strength; obtaining a measured value of cement compressive strength; determining a value of an aggregate regression coefficient; obtaining a water-cement ratio; determining a unit water consumption; obtaining a cement consumption; determining a sand rate; obtaining a coarse aggregate consumption; obtaining a steel slag consumption; obtaining a stone consumption; and obtaining a mixing ratio. The application can significantly improve the efficiency of determining the consumptions of components, save the test workload, shorten the test period, and reduce the economic cost. While ensuring that the strength of the concrete product meets the use requirements, the application can quickly achieve the purpose of designing the mixing ratio of the steel slag replacing coarse aggregate concrete under the target strength requirement. The calculation steps involved in the application can provide a reference for the programming of intelligent algorithms of related types.

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.

The invention discloses green cast-in-place high-strength lightweight foam concrete, and belongs to the technical field of new materials. The concrete is prepared from the following components in parts by weight: 30 to 50 parts of cement, 20 to 40 parts of light foam aggregate, 15 to 30 parts of fine aggregate, 15 to 25 parts of water, 0.1 to 1.0 part of foaming agent, 5 to 15 parts of mineral admixture and 0.1 to 2 parts of chemical admixture. The chemical additive contains a high-efficiency water reducing agent, a modified retarder and an air entraining agent in a weight ratio of (5-7): (2-3): (1-2). Through the innovatively designed modified retarder, nano-modified light foam aggregate and fine aggregate, and by optimizing the mix proportion and the preparation process, the mechanical properties (compressive strength of 20.5-24.5 MPa), durability (water absorption of 3.4-4.0%) and construction performance (slump of 162-175 mm) are remarkably improved. And the carbon footprint is reduced by utilizing industrial byproducts, so that green environmental protection and economy are realized. The method is suitable for cast-in-place high-strength light structures, has the advantages of light weight, high strength, durability and construction convenience, and provides a sustainable solution for modern engineering.

The invention discloses a concrete proportion optimization method and device for a salt-fresh water intersection area. The method comprises the following steps: determining an aggregate corner distribution condition based on a first morphological parameter of single-particle-size broken stone within a preset particle size range in a typical estuary environment; determining durability parameters of the concrete test piece prepared from the broken stones with the single particle size; calculating a gravel aggregate concrete chlorine salt erosion distribution rule based on the parameters; calculating a round aggregate concrete chlorine salt erosion distribution rule; determining the influence degree of the aggregate corner effect on the concrete chlorine salt erosion rule based on the circular aggregate concrete chlorine salt erosion distribution rule, the chlorine salt concentration time-varying rule in the indoor environment and the gravel aggregate concrete chlorine salt erosion distribution rule; and optimizing the initial concrete proportion based on the influence degree. According to the method, the aggregate corner effect, the aggregate form and the chlorine salt concentration rule of the indoor and salt-fresh water intersection area serve as reference factors for optimizing the concrete proportion, and the durability of the concrete is guaranteed.

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.

The utility model discloses modularized aerated concrete block rapid production equipment, and particularly relates to the technical field of aerated concrete production, the modularized aerated concrete block rapid production equipment comprises an equipment body, a transfer box and a modularized stock bin, the transfer box is arranged at the upper end of the equipment body, a liquid level sensor is arranged on the left side of an inner cavity of the transfer box, and a pipeline box is arranged at the upper end of the transfer box; the modular stock bin is arranged on the upper end face of the pipeline box; according to the utility model, each mixed material is allowed to be independently stored through the design of the modularized stock bin, different types of materials are separately stored, and the use amount and the mixing proportion of each material can be more quickly controlled by combining the first electric valve and the solid flow meter, so that the consistency of products is improved, and the production efficiency is improved. According to the concrete mixing device, all materials are added more quickly and accurately, so that the quality and mixing efficiency of concrete are improved, premixing of water and solid materials is performed in the transfer box, intermittent small-batch pre-blending is performed in the transfer box according to the proportion, and the materials of each batch can be accurately controlled.

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.