CN-122020921-A - Spiral propulsion mechanical parameter optimization method for tailing accelerated drainage consolidation

CN122020921ACN 122020921 ACN122020921 ACN 122020921ACN-122020921-A

Abstract

The invention discloses a spiral propulsion machinery parameter optimization method for tailing accelerated drainage consolidation, which belongs to the technical field of tailing pond drainage consolidation regulation and control, and comprises the steps of firstly collecting in-situ tailing samples of a tailing pond, respectively testing and obtaining basic physical parameters such as tailing density, saturated water content, grain size grading and the like, respectively constructing interaction mechanics models of spiral propulsion machinery and tailings under high and low concentration tailing working conditions, analyzing interaction rules of normal bearing, shearing action and running resistance, establishing a stress balance equation in the vertical and horizontal directions, then constructing a parameter optimization model taking the mechanics models as constraints, respectively setting differential objective functions for reducing mechanical subsidence and improving mechanical operation speed according to high and low concentration tailing working conditions, improving a PSO algorithm, fusing logic chaotic initialization, self-adaptive inertia weight and learning factor nonlinear dynamic regulation strategies, and then calling the improved PSO algorithm to obtain an optimal structural parameter combination of the spiral propulsion machinery.

Inventors

WANG KUN
ZHAO DEYUAN
ZHAO TONGBIN
ZHANG ZHENG
LIU YANPING
WANG BEI
ZHAO YONGQIANG
ZHANG ZIXUAN
LI XIN

Assignees

山东科技大学

Dates

Publication Date: 20260512
Application Date: 20260415

Claims (9)

1. A method for optimizing mechanical parameters of spiral propulsion for tailing accelerated drainage consolidation, which is characterized by comprising the following steps: Firstly, collecting an in-situ tailing sample from a tailing pond to obtain basic physical parameters of the tailings; Step two, constructing a high-concentration spiral propulsion machinery-tailing interaction mechanical model, developing a high-concentration tailing pressure-bearing characteristic test and a high-concentration tailing shearing resistance characteristic test, analyzing the interaction relation between the spiral propulsion machinery and the tailings from the three aspects of normal pressure action, shearing action and running resistance, and establishing a stress balance equation in the vertical and horizontal directions; step three, constructing a mechanical model of the interaction of the spiral propelling machinery and the tailings under the working condition of the low-concentration tailings, firstly carrying out a rheological shearing property test of the low-concentration tailings, analyzing the interaction relation between the spiral propelling machinery and the tailings from the three aspects of normal supporting force, horizontal shearing action and running resistance, and establishing a stress balance equation in the vertical and horizontal directions; step four, constructing a parameter optimization model of constraint conditions and designing an improved particle swarm algorithm, wherein the parameter optimization model comprises an objective function and operation constraint conditions under the working condition of high and low concentration tailings, and the improved particle swarm algorithm is fused with a self-adaptive inertia weight, learning factor nonlinear dynamic adjustment and Logistic chaotic initialization strategy; And fifthly, based on the tailing basic physical parameters and the stress balance equation determined in the first to third steps, calling the improved particle swarm algorithm constructed in the fourth step to carry out iterative solution, outputting the optimal structural parameter combination of the spiral propulsion machinery, manufacturing a spiral propulsion machinery model, carrying out a similar simulation test, and verifying the effectiveness of the optimization result.
2. The method for optimizing parameters of spiral propulsion machinery for tailing acceleration drainage consolidation according to claim 1, further comprising a step six of adjusting structural parameters or parameter optimization model parameters according to test results if the simulation test results do not reach preset performance indexes, and re-executing optimization calculation in the step four and step five until an optimal structural parameter combination meeting performance requirements is obtained.
3. The method for optimizing spiral propulsion mechanical parameters for accelerating tailing drainage consolidation according to claim 1, wherein in the first step, a ring cutter method is adopted to test the tailing density, a soaking saturation method is adopted to test the tailing saturation water content, a laser diffraction method is adopted to test the tailing grain size grading, and the tailing basic physical parameters are obtained.
4. The spiral propulsion mechanical parameter optimization method for tailing acceleration drainage consolidation according to claim 1 is characterized by comprising the steps of constructing a high-concentration spiral propulsion mechanical-tailing interaction mechanical model in the second step, specifically, adopting a Bekker pressure-subsidence model to represent tailing compression subsidence behavior, combining a wheel-tailing contact geometric relationship to obtain positive stress distribution, obtaining normal bearing counter force after integration, adopting a Herschel-bulk model to describe a tailing shearing stress-rate relationship, combining a Nagaoka soil shearing track change formula with time to obtain shearing speed, and integrating after simultaneous to obtain a propelling direction and a vertical shearing reaction force.
5. The method for optimizing parameters of spiral propulsion machinery for accelerating drainage consolidation of tailings according to claim 1, wherein the running resistance only considers compaction resistance generated by compression and compaction of tailings, and the vertical stress balance is that the resultant force of normal bearing counterforce and vertical shearing counterforce of tailings counteracts the self weight of the spiral propulsion machinery, and the horizontal stress balance is that the shearing counterforce in the propulsion direction counteracts the compaction resistance through calculation of the radius of wheels, the maximum sinking angle and the equivalent density of tailings.
6. The method for optimizing the spiral propulsion mechanical parameters for accelerating the drainage consolidation of tailings, which is characterized by comprising the steps of constructing a spiral propulsion mechanical-tailings interaction mechanical model under a low-concentration tailings working condition in the third step, wherein the normal comprehensive supporting force is the resultant force of the buoyancy of tailings on a spiral propulsion wheel and the additional normal pressure generated by the rotation of a spiral blade, the buoyancy is calculated based on the equivalent density and the displacement volume of the tailings, the additional normal pressure is obtained through torque balance analysis and equivalent, the shearing stress-shearing rate relation of the low-concentration tailings is described by adopting a Bingham model, the shearing reaction resultant force in the propulsion direction is obtained after integration, and the total resultant force in the propulsion direction is obtained through torque balance equivalent.
7. The method for optimizing parameters of spiral propulsion machinery for accelerating tailing drainage consolidation according to claim 6, wherein the running resistance is the resistance generated by tailing fluid, and is calculated through parameters of a slurry resistance coefficient, an immersed slurry area, fluid viscosity and running speed, vertical stress balance is that comprehensive supporting force of the tailings counteracts self weight of the spiral propulsion machinery, and horizontal stress balance is that shearing reaction resultant force in the propulsion direction counteracts the running resistance of the fluid.
8. The method for optimizing parameters of spiral propulsion machinery for accelerating drainage consolidation of tailings according to claim 1, wherein in the fourth step, an objective function of a parameter optimization model is set to be that under a high-concentration tailings working condition, the subsidence amount of the spiral propulsion machinery is reduced to be an optimization target, under a low-concentration tailings working condition, the operation speed of the spiral propulsion machinery is improved to be an optimization target, and operation constraint conditions comprise that under the high-concentration tailings working condition, the shearing reaction force in the propulsion direction is not smaller than compaction resistance, the resultant force of the vertical bearing reaction force and the vertical shearing reaction force is not smaller than the self weight of the spiral propulsion machinery, under the low-concentration tailings working condition, the shearing reaction force in the propulsion direction is not smaller than the running resistance of fluid, and the balance relation between the vertical comprehensive supporting force and the self weight of the spiral propulsion machinery is met.
9. The method for optimizing mechanical parameters of spiral propulsion for accelerated drainage consolidation of tailings as in claim 1, wherein the particle swarm is scaled to The search space dimension is First, the The particles are at the first The position vector at the time of iteration is The velocity vector is The particle records its historical optimal position in the searching process Particle swarm records a global optimal position Updated particle velocity And updated position The method comprises the following steps: ; ; In the formula, The particles are given the number of the particles, ; To the first particle in the search space The dimensions of the two-dimensional space are, ; The current iteration number; is the first The particles are at the first The first iteration The position of the dimension; is the first The particles are at the first The first iteration The speed of the dimension; is the first The first particle recorded during the search The individual history optimal position during the iteration; record the first particle group in the searching process At the time of iteration A global optimum position; learning factors for an individual; is a group learning factor; to take the value in the range of Random numbers in between; Wherein, the A cognitive term representing the optimal position of the particle to its own history, And the learning item which represents the global optimal position of the particle pair group realizes the collaborative optimization search of the particle in the search space through the combined action of the learning item and the learning item.

Description

Spiral propulsion mechanical parameter optimization method for tailing accelerated drainage consolidation Technical Field The invention relates to the technical field of drainage consolidation control of tailing pond, in particular to a spiral propulsion mechanical parameter optimization method for tailing acceleration drainage consolidation. Background The tailing pond is a necessary facility for most mines to treat tailings and maintain normal production, is generally formed by piling up and intercepting valleys or surrounding areas of the tailing dams, and is a recognized artificial debris flow hazard source with high potential energy. Once destabilization or burst occurs, serious casualties and environmental damage are extremely easy to cause. Along with the continuous decline of ore grade, the fine grinding deep separation process is generally adopted in the ore dressing process, so that the particle size of the tailings is gradually thinned, and the discharge proportion of the fine tailings is continuously increased. Thus, the total tailings discharge is at a high level for a long period of time, and the proportion of fine tailings with poor permeability in a tailings system is continuously increased. Engineering practice shows that the fine tailings have low permeability coefficient, slow pore water pressure dissipation and long drainage consolidation period, and the sediments are in a high-water-content and high-pore-pressure state for a long time, so that the difficulty in controlling the stable operation of the tailings pond is remarkably increased. The fine grain characteristics of the composite material are easy to form a fine grain interlayer or a weakly permeable layer in the deposition process, so that the infiltration line is lifted, the risk of instability induction exists under certain load or disturbance conditions, the water return efficiency is further reduced, the effective storage capacity utilization rate is further reduced, and the safe operation and production connection of a mine are restricted. Aiming at the problems that the tailing bearing capacity is low and the conventional wheeled or crawler-type machinery is difficult to safely operate in a warehouse, in-situ drainage consolidation control technology of the spiral propulsion machinery is proposed in recent years. The technology relies on the pushing and extrusion action of a spiral structure in a high-water-content medium to realize in-situ disturbance, compaction and drainage of a tailings deposit, so that the consolidation process of tailings is accelerated, and the backwater rate and the storage capacity utilization efficiency are improved. However, the running performance of the screw propulsion machine is highly sensitive to its structural parameters, and there are significant differences in the optimal combination of structural parameters under different medium conditions. The existing research is mainly developed aiming at typical working conditions such as sand, granary and the like, the operation characteristics in the high-water-content and high-viscosity tailing medium are not known enough, and a method for systematically analyzing the mechanical characteristics and SPM structural parameters of the tailings is not known. The existing structural design is selected by depending on experience or single factor test, and is difficult to realize the integral optimization of structural parameters such as the ratio of the height of the blade to the diameter of the wheel cylinder, the angle of the helical blade, the angular velocity, the slip ratio and the like under the conditions of multiple targets and multiple constraints, so that the stable operation of the helical propulsion machinery in a tailing pond and the popularization and application of engineering are restricted. Disclosure of Invention In order to solve the technical problems, the invention provides a spiral propulsion mechanical parameter optimization method for tailing accelerated drainage consolidation, which comprises the following steps: Firstly, collecting an in-situ tailing sample from a tailing pond to obtain basic physical parameters of the tailings; Step two, constructing a high-concentration spiral propulsion machinery-tailing interaction mechanical model, developing a high-concentration tailing pressure-bearing characteristic test and a high-concentration tailing shearing resistance characteristic test, analyzing the interaction relation between the spiral propulsion machinery and the tailings from the three aspects of normal pressure action, shearing action and running resistance, and establishing a stress balance equation in the vertical and horizontal directions; step three, constructing a mechanical model of the interaction of the spiral propelling machinery and the tailings under the working condition of the low-concentration tailings, firstly carrying out a rheological shearing property test of the low-concentration tailings, analyzing the