11 results about "Mixture designs" patented technology

The invention provides an all-component multi-source solid waste asphalt mixture design method and system, and relates to the technical field of data processing, and the method comprises the steps: carrying out the preprocessing of obtained test proportion data of a solid waste asphalt mixture, and generating a mixture data set; screening the mixture data set by using a preset constraint condition to obtain a plurality of candidate matching points meeting the performance index characteristics; the performance index characteristics comprise gradation structure characteristics related to particle size, bonding system characteristics related to high-temperature fluidity and water sensitivity, molding volume and construction characteristics related to porosity and saturation, and context embedding characteristics related to a service scene; splicing the performance index features and inputting the spliced performance index features into a trained gating expert network to obtain a corresponding performance prediction mean value and a performance fluctuation mean value; and performing reliability analysis on the candidate matching points based on the performance prediction mean value and the performance fluctuation mean value, and determining the candidate matching points of which the reliability is greater than a preset threshold value as target matching points.

The invention provides a hierarchical mixture design index and optimization method according to functional requirements of different pavement layers (a surface layer, a middle surface layer and a lower surface layer) in combination with climate zoning and traffic load characteristics. According to the method, key mechanical parameters (the dynamic stability of a surface layer is greater than or equal to 6000 times / mm, and the low-temperature bending strain of a lower surface layer is greater than or equal to 2500 mu epsilon) are determined according to the horizon function, and then the mineral aggregate gradation and the special asphalt dosage are optimized through coupling analysis of volume parameters (the void ratio is 3%-5%, and the mineral aggregate void ratio is greater than or equal to 17%) and mechanical properties. And meanwhile, a bonding layer interface shear strength test (greater than or equal to 1.2 MPa) is introduced, so that the structural integrity is ensured.

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

This invention relates to the field of scale inhibitor formulation optimization technology, and to a method and system for optimizing circulating water scale inhibitor formulations based on mixing design. The method includes: confirming the formulation optimization environment based on scale inhibitor formulation optimization instructions; performing simplex centroid design based on the effective raw material component set and initial constraint boundary set; mixing and preparing multiple sets of basic mixing formulations to obtain multiple sets of test samples; measuring the multiple sets of test samples separately using a scale inhibition performance testing unit; conducting water circulation experiments based on the theoretically optimal formulation; calculating the actual dynamic scale inhibition rate and actual dynamic corrosion inhibition rate based on dynamic scaling amount and coupon weight loss; and comparing the actual comprehensive performance index with the maximum performance index. This invention can improve the efficiency, comprehensive performance, and verification reliability of circulating water scale inhibitor formulation optimization.

The invention discloses an RAP grade evaluation and regenerated mixture mix proportion design method based on oil-stone separation. The method comprises the following steps: firstly, performing oil-stone separation and refinement treatment on RAP to obtain R-RAP, wherein the R-RAP comprises lean oil CRAP and rich oil FRAP; the CRAP is then graded based on its crush value (Q'a) and sand equivalent (SE) indicators, and the FRAP is graded based on its old asphalt penetration (P) at 25 DEG C. And finally, according to the determined CRAP / FRAP grade, the target road grade and the horizon requirement, determining the R-RAP blending proportion by referring to the suggested blending amount range, and completing the design of the high R-RAP blending amount regenerated mixture. According to the method disclosed by the invention, through fine separation of the oilstone and systematic grading evaluation, the limitation of low mixing amount of the conventional plant-mixed hot recycled asphalt mixture RAP is broken through, the mix proportion design of the mixture is accurately guided, the utilization rate and the regeneration efficiency of the RAP can be remarkably improved, and the raw material cost and the carbon emission are reduced.

The invention relates to a steel bridge deck pavement sensing analysis system and method based on multi-dimensional data. The method comprises the following steps: testing raw materials to obtain construction retention time and interface parameters so as to guide mixture design, preparing a test piece according to the construction retention time and the interface parameters, and measuring a dynamic modulus main curve, a fatigue damage model and limit strain; establishing a reduced-scale test piece finite element model based on the main curve to predict bending-tensile strain, and performing a fatigue test in combination with limit strain to obtain reduced-scale life; obtaining a key stress range of the steel plate through full-scale model finite element analysis, and formulating an acceleration loading scheme according to the key stress range; loading is executed, multi-source monitoring data are collected, and the full-scale final fatigue life is determined; calibrating a fatigue damage model according to the service life; and finally evaluating the performance of the paving system based on the calibration model, the main curve and the full-scale life. According to the closed-loop verification process from the material to the full scale, the prediction model is iteratively calibrated through multi-scale test data, and the accuracy and reliability of long-term performance evaluation of the steel bridge deck pavement system are remarkably improved.

The application provides a full-component multi-source solid waste asphalt mixture design method and system, relates to the technical field of data processing, and comprises the following steps: preprocessing test proportioning data of obtained solid waste asphalt mixture to generate a mixture data set; filtering the mixture data set by using a preset constraint condition to obtain a plurality of candidate proportioning points meeting performance index characteristics; the performance index characteristics include gradation structure characteristics related to particle size, bonding system characteristics related to high-temperature fluidity and water sensitivity, molding volume and construction characteristics related to void ratio and saturation, and context embedding characteristics related to a service scene; inputting the performance index characteristics after splicing into a trained gate expert network to obtain corresponding performance prediction mean and performance fluctuation mean; performing reliability analysis on the candidate proportioning points based on the performance prediction mean and the performance fluctuation mean, and determining a candidate proportioning point with a reliability greater than a preset threshold as a target proportioning point.

The invention relates to the technical field of scale inhibitor formula optimization, in particular to a circulating water scale inhibitor formula optimization method and system based on material mixing design, and the method comprises the steps: confirming a formula optimization environment based on a scale inhibitor formula optimization instruction, and carrying out simplex gravity center design based on an effective raw material component set and an initial constraint boundary set; the method comprises the following steps: carrying out mixing preparation based on a plurality of groups of basic mixing formulas to obtain a plurality of groups of to-be-tested samples, respectively measuring the plurality of groups of to-be-tested samples based on a scale inhibition performance test unit, carrying out a water circulation experiment based on a theoretical optimal formula, and calculating an actual dynamic scale inhibition rate and an actual dynamic corrosion inhibition rate based on a dynamic scaling amount and a coupon weight loss value. And comparing the actual comprehensive performance index with the maximum performance index. According to the method, the formula optimization efficiency, the comprehensive performance and the verification reliability of the circulating water scale inhibitor can be improved.

The invention relates to the technical field of recycled asphalt mixture design, and discloses a recycled asphalt mixture design method and device, computer equipment and a storage medium, and the method comprises the following steps: constructing a grading modulus data set; determining a grading optimization domain; constructing a collaborative optimization mechanism; the design model is based on a target modulus, a collaborative optimization mechanism is combined, individuals of an adaptive target are iteratively screened in a grading optimization domain according to a gradient strategy of first modulus primary screening and then cost-working condition double-constraint fine screening, and an optimal grading result with the target modulus reaching the standard, the cost being controllable and the working condition being adaptive is output. The device, the computer equipment and the storage medium all correspond to the method. According to the method, the optimization precision of the high-aging RAP and the grading fluctuation aggregate is improved through the collaborative optimization mechanism of the grading modulus data set and the adaptive reclaimed material characteristics, and the gradient screening strategy is combined, so that it is guaranteed that the target modulus reaches the standard, cost controllability and working condition adaptation are considered, the trial preparation cost is reduced, and the reclaimed material utilization rate and the engineering practicability of the design scheme are improved.

The invention provides a multi-objective collaborative design method and system for a microwave self-healing asphalt mixture, and belongs to the technical field of asphalt mixture design. The method comprises the following steps: determining reference material composition based on target pavement performance; a multi-objective optimization problem containing a decision variable set, an objective function set and a constraint condition set is established, the decision variable set comprises the steel slag mixing amount and the grading type, and the objective function set covers the microwave heating performance, the self-healing efficiency and the road durability after thermo-oxidative aging, salt freeze-thaw and dry-wet cycle; an improved adaptive particle swarm optimization algorithm is adopted to solve and obtain a Pareto optimal solution set; and finally selecting an optimal material composition from the solution set based on engineering requirements. Through a multi-target collaborative optimization mechanism, the technical problem that the self-healing function and the long-term durability are difficult to consider at the same time is solved, and a customized material design scheme with efficient healing capacity and excellent durability is provided for different engineering scenes.

The invention discloses an asphalt mixture mix proportion design method based on a response surface method, and aims to solve the problems of high subjectivity, insufficient optimization and low efficiency and precision of traditional asphalt mixture mix proportion design. The method comprises the following steps: determining key design variables and response indexes, arranging an experimental scheme by adopting a central composite design in a response surface method, and combining a three-control-point hyperbolic theory to generate complete mineral aggregate gradation; a test piece is prepared, performance indexes are tested, a quadratic polynomial prediction model is established, an optimal design variable combination is solved through multi-objective optimization, and finally the optimal mix proportion is determined through verification. According to the method, on the basis of a mathematical statistical method, human experience interference is reduced, multi-factor interaction can be accurately quantified, the global optimal mix proportion is obtained with fewer test times, the performance potential of the material is maximized, and scientific and efficient technical support is provided for asphalt mixture design.