CN113569398A - Grouting process simulation method and system and readable storage medium - Google Patents
Grouting process simulation method and system and readable storage medium Download PDFInfo
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- 238000002347 injection Methods 0.000 claims abstract description 17
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Abstract
The invention relates to the technical field of computer simulation, and discloses a grouting process simulation method, a grouting process simulation system and a readable storage medium, wherein a first soil layer model corresponding to a soil layer to be grouted is established; establishing a target discrete element grouting model according to soil property parameters of each layer of soil layer in the first soil layer model; determining a contact model corresponding to each soil layer according to the soil quality type of each soil layer in the first soil layer model, and optimizing the first soil layer model according to the contact model to obtain a second soil layer model; adjusting the second soil layer model into a third soil layer model according to the preset soil layer particle microscopic parameters; carrying out ground stress balance treatment on the third soil layer model to obtain a fourth soil layer model; and grouting the fourth soil layer model according to the particle generation rate and the injection speed of the particle factory in the target discrete element grouting model, and acquiring target data of the fourth soil layer model in the grouting process. The problem of the atress deformation condition of the unable simulation slip casting reinforcement soil layer among the prior art is solved.
Description
Technical Field
The invention relates to the technical field of computer simulation, in particular to a grouting process simulation method and system and a readable storage medium.
Background
The high-pressure jet grouting technology is a new method developed by introducing a high-pressure jet technology on the basis of the static pressure grouting theory and practice. However, the action principle of high-pressure jet grouting is fundamentally different from that of static pressure grouting. The static pressure grouting mainly depends on pressure to inject the grout into the soil along the pores, cracks and splits of the soil, the groutability of the grouting is greatly influenced by the physical properties of the soil, when the soil has good porosity or large cracks, the grouting is good, and conversely, when the pores of the soil are small, the grouting is not. The high-pressure jet grouting adopts a high-pressure jet technology to forcibly destroy the soil structure, and the groutability of the high-pressure jet grouting is basically not influenced by the pore conditions of the soil. In the jetting process, soil in the effective damage action length of the jet flow is punched and damaged, part of particles are replaced by the jetted slurry and discharged out of the drilled hole, and the rest soil particles are redistributed in the center of the drilled hole under the action of jetted dynamic pressure and centrifugal force to form a consolidation body with the slurry; the interaction mode of the grout and the soil body at the boundary of the effective length is the same as that of static pressure grouting, and the connection between the consolidation body and the surrounding soil layer is enhanced through modes of permeation, compaction, splitting and the like. In order to research the grouting reinforcement mechanism, researchers at home and abroad develop extensive researches on grouting reinforcement, including indoor and outdoor tests, theoretical analysis research and numerical analysis research.
Many results have been obtained by analyzing and researching the grouting reinforcement process by using software, but at the same time, some defects exist. The current discrete element method for grouting reinforcement process researches most of the discrete element software based PFC, adopts DFN water pressure method to analyze the grouting process, the method can not truly simulate the process of extrusion, deformation and splitting of soil particles under the action of slurry particles, and the operation efficiency is limited by the number of particles. Therefore, the method is rarely used in actual engineering design and is difficult to popularize, and therefore, the problem that how to truly simulate the stress deformation characteristic of the grouting reinforcement soil layer is urgently needed to be solved is solved.
Disclosure of Invention
The invention provides a grouting process simulation method, a grouting process simulation system and a readable storage medium, and aims to solve the problem that the stress deformation condition of a grouting reinforcement soil layer cannot be simulated in the prior art.
In order to achieve the purpose, the invention is realized by the following technical scheme:
in a first aspect, the present invention provides a grouting process simulation method, including:
establishing a first soil layer model corresponding to a soil layer to be grouted;
establishing a target discrete element grouting model according to soil property parameters of each layer of soil layer in the first soil layer model;
determining a contact model corresponding to each soil layer according to the soil quality type of each soil layer in the first soil layer model, and optimizing the first soil layer model according to the contact model to obtain a second soil layer model;
adjusting the second soil layer model into a third soil layer model according to the preset soil layer particle microscopic parameters;
carrying out ground stress balance treatment on the third soil layer model to obtain a fourth soil layer model;
and grouting the fourth soil layer model according to the particle generation rate and the injection speed of the particle factory in the target discrete element grouting model, and acquiring target data of the fourth soil layer model in the grouting process.
Optionally, the determining, according to the soil property type of each soil layer in the first soil layer model, a contact model corresponding to each soil layer includes:
acquiring surface energy parameters corresponding to soil types of all soil layers in the first soil layer model;
and determining a contact model corresponding to each soil layer according to the surface energy parameters.
Optionally, the predetermined soil layer particle microscopic parameter includes at least one of an elastic modulus, a density, a poisson's ratio, a coefficient of restitution, a coefficient of sliding friction, or a coefficient of static friction.
Optionally, performing ground stress balance processing on the third soil layer model to obtain a fourth soil layer model, including:
and controlling boundary wall units of soil layers in the third soil layer model to move according to a preset track, and applying preset pressure to the boundary wall units to obtain the fourth soil layer model.
Optionally, the acquiring target data of the fourth soil layer model in a grouting process includes:
and acquiring the interaction condition of soil particles and the interaction data of the slurry particles and the soil particles in the grouting process of the fourth soil layer model.
Optionally, the soil property parameter comprises at least one of soil layer density, elastic modulus, soil particle friction coefficient.
Optionally, the first soil layer model comprises at least two soil layers, and the at least two soil layers comprise at least two of a fill layer, a clay layer and a gravel layer.
Optionally, before the grouting of the fourth soil layer model according to the particle generation rate and the injection speed of the particle plant in the target discrete element grouting model, the method further includes:
determining the central position of the fourth soil layer model as a grouting hole;
the grouting of the fourth soil layer model according to the particle generation rate and the injection speed of the particle factory in the target discrete element grouting model comprises the following steps:
and grouting the grouting holes of the fourth soil layer model according to the particle generation rate and the injection speed of the particle factory in the target discrete element grouting model.
In a second aspect, an embodiment of the present application further provides a grouting process simulation system, including:
the first unit is used for establishing a first soil layer model corresponding to a soil layer to be grouted;
the second unit is used for establishing a target discrete element grouting model according to soil property parameters of each layer of soil layer in the first soil layer model;
the third unit is used for determining a contact model corresponding to each soil layer according to the soil quality type of each soil layer in the first soil layer model and optimizing the first soil layer model according to the contact model to obtain a second soil layer model;
the fourth unit is used for adjusting the second soil layer model into a third soil layer model according to the preset soil layer particle microscopic parameters;
the fifth unit is used for carrying out ground stress balance processing on the third soil layer model to obtain a fourth soil layer model;
and the sixth unit is used for grouting the fourth soil layer model according to the particle generation rate and the injection speed of the particle factory in the target discrete element grouting model and acquiring target data of the fourth soil layer model in the grouting process.
In a third aspect, the present application further provides a readable storage medium, on which a program or instructions are stored, which when executed by a processor implement the steps of the grouting process simulation method according to the first aspect.
Has the advantages that:
the grouting process simulation method provided by the embodiment of the invention comprises the steps of establishing a first soil layer model corresponding to a soil layer to be grouted; establishing a target discrete element grouting model according to soil property parameters of each layer of soil layer in the first soil layer model; determining a contact model corresponding to each soil layer according to the soil quality type of each soil layer in the first soil layer model, and optimizing the first soil layer model according to the contact model to obtain a second soil layer model; adjusting the second soil layer model into a third soil layer model according to the preset soil layer particle microscopic parameters; carrying out ground stress balance treatment on the third soil layer model to obtain a fourth soil layer model; and grouting the fourth soil layer model according to the particle generation rate and the injection speed of the particle factory in the target discrete element grouting model, and acquiring target data of the fourth soil layer model in the grouting process. Therefore, the stress deformation condition of the grouting reinforcement soil layer can be accurately simulated.
Drawings
FIG. 1 is a flow chart of a grouting process simulation method according to a preferred embodiment of the present invention;
FIG. 2 is a second flowchart of a grouting process simulation method according to the preferred embodiment of the present invention;
FIG. 3 is a schematic view of a soil layer model according to a preferred embodiment of the present invention;
FIG. 4 is a schematic illustration of the particle structure of a preferred embodiment of the present invention;
FIG. 5 is a schematic illustration of a particle factory spray scenario in accordance with a preferred embodiment of the present invention;
FIG. 6 is a particle displacement cloud picture of soil layers under different soil layers;
FIG. 7 is a cloud diagram of soil layer particle displacement under different grouting pressures.
Reference numerals:
1. a first soil layer model; 2. the direction of the rotational spraying; 3. particles of a soil layer; 4. a particle factory; 6. the direction of the spray; 5. a rigid baffle.
Detailed Description
The technical solutions of the present invention are described clearly and completely below, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1-2, the present invention provides a grouting process simulation method, including:
In this step, the soil layer to be grouted may be a soil layer in an actual atmospheric environment, and the first soil layer model may be established in discrete meta-software.
In one possible embodiment, the first soil layer model may include three soil layers as shown in fig. 3, wherein the three soil layers may be a miscellaneous fill layer, a clay layer and a gravel layer from top to bottom. In the subsequent spray-spinning process, the spray-spinning direction 2 from bottom to top can be adopted, and the drilling and irrigating direction from top to bottom can also be adopted, which is only an example and is not limited herein. Alternatively, in other possible embodiments, other types of soil layers may be provided, but any modification thereof is within the scope of the embodiments of the present application.
102, establishing a target discrete element grouting model according to soil property parameters of each layer of soil layer in the first soil layer model 1.
In this step, the target discrete element grouting model may refer to a model that can be used for grouting simulation in discrete element software.
And according to the extracted geometric parameters, establishing a simplified soil layer EDEM discrete element model as shown in figure 4 as a target discrete element grouting model. Grading and particle size of soil particles are set in an EDEM particle factory module, and a custom particle factory is used for filling a soil layer model.
It should be noted that the contact models of soil layers corresponding to different soil types are different. The simulation of different soil layers can be realized by changing the parameters of the surface energy in the contact model. That is, the first soil layer model 1 is optimized according to the contact model to obtain the second soil layer model, in other words, the established soil layer model considers the influence of contact between different soil texture types, and the characteristics of the established soil layer model and the real soil layer can be closer.
And step 104, adjusting the second soil layer model into a third soil layer model according to the preset soil layer particle microscopic parameters.
And 105, carrying out ground stress balance treatment on the third soil layer model to obtain a fourth soil layer model.
And 106, grouting the fourth soil layer model according to the particle generation rate and the injection speed of the particle factory in the target discrete element grouting model, and acquiring target data of the fourth soil layer model in the grouting process.
According to the grouting process simulation method, the contact influence among soil property parameters and soil property types and soil layer particle fine particle appearance parameters of the particles 3 of the soil layer are comprehensively considered, the soil layer grouting simulation is realized in discrete element software, and the stress deformation condition of the grouting reinforced soil layer can be accurately simulated.
Optionally, the soil property parameter comprises at least one of soil layer density, elastic modulus, soil particle friction coefficient.
In this alternative embodiment, the soil property parameters may include soil layer density, elastic modulus, and soil particle friction coefficient, which are only exemplary and not limiting. In other possible embodiments, other types of soil parameters may be considered, but any modification thereof is within the scope of the embodiments of the present application.
Specifically, the soil property parameter may be obtained by exploring according to a site address, and obtaining a mechanical parameter corresponding to each soil layer through a site test and existing data.
Optionally, the first soil layer model 1 includes at least two soil layers, and the at least two soil layers include at least two of a fill layer, a clay layer, and a gravel layer.
As shown in fig. 2, fig. 2 is a schematic diagram of simplifying soil mass to be reinforced in layers, according to a geological survey CAD drawing of a region to be grouted and reinforced, influence of contact relation among different soil layers is ignored, and soil mass to be grouted and reinforced in a rotary spraying manner is simplified into a first soil layer model 1 consisting of a filling soil layer, a clay layer and a gravel layer according to soil property conditions in layers.
Optionally, determining a contact model corresponding to each soil layer according to the soil type of each soil layer in the first soil layer model 1 includes:
acquiring surface energy parameters corresponding to soil types of all soil layers in the first soil layer model 1;
and determining a contact model corresponding to each soil layer according to the surface energy parameters.
FIG. 4 is a schematic diagram of a JKR contact model, soil layers are simulated based on a Hertz-Mindlin with JKR contact model, soil layer simulation of different soil textures is achieved by changing Surface Energy parameters (Surface Energy) in the Hertz-Mindlin with JKR, the JKR contact model is a cohesive force contact model, and the influence of van der Waals force in a contact area can be considered and a system allowing a user to simulate strong viscosity can be considered. JKR Normal force FJKRBased on the amount of overlap and the interaction parameter, the surface energy has the following relationship:
in the formula, R is the radius of the soil layer in the contact model schematic diagram when the soil layer is circular, E is the equivalent Young modulus, a is the normal overlapping amount between two contact particles, R is the equivalent contact radius, and delta is the tangential overlapping amount between the two contact particles.
In the embodiment, the Surface Energy (Surface Energy) parameter corresponding to each soil layer in the JKR model is calibrated through a plurality of tests.
Optionally, the soil layer particle microscopic parameters of the particles 3 of the predetermined soil layer comprise at least one of an elastic modulus, a density, a poisson's ratio, a coefficient of restitution, a coefficient of sliding friction, or a coefficient of static friction.
In the optional implementation mode, according to the soil texture condition of the simplified soil layer and by combining multiple calibration tests, the elastic modulus, the density, the poisson ratio, the recovery coefficient, the sliding friction coefficient and the static friction coefficient are input into a preprocessing module Bulk Material of the EDEM software, and fine parameters are given to soil layer particles.
Optionally, the performing an earth stress balance process on the third soil layer model to obtain a fourth soil layer model includes:
and controlling the boundary wall units of the soil layers in the third soil layer model to move according to the preset track, and applying preset pressure to the boundary wall units to obtain a fourth soil layer model.
In this alternative embodiment, the pressure servo is implemented by controlling the boundary wall units to move through API, for example, the boundary wall units of the soil layers in the third soil layer model are controlled to move according to the preset track, and the preset pressure is applied to the boundary wall units to obtain the fourth soil layer model. It should be noted that, if a rigid boundary is adopted, the soil layer model cannot diffuse and deform around under the slurry extrusion effect; the ground stress pressure servo is realized through the API codes, and the deformation reinforcement effect of the soil body under the action of the slurry can be simulated more accurately.
Optionally, the obtaining target data of the fourth soil layer model in the grouting process includes:
and acquiring the interaction condition of soil particles and interaction data of the slurry particles and the particles 3 of the soil layer in the grouting process of the fourth soil layer model.
Wherein, the action condition of the soil layer particles 3 comprises the condition that the established soil layer model moves under the action of the slurry particles sprayed by the particle factory 4 (grouting opening) and the particles 3 of the soil layer are extruded by the slurry particles. The obtained data includes but is not limited to soil layer particle force chain cloud pictures, porosity change obtained by arranging monitoring points in a soil layer model and the like.
In this optional embodiment, the grouting amount (L/s) in the actual working condition and the particle generation rate (per s) of the particle factory 4 in the EDEM are calibrated, specifically, a relational expression between the grouting amount G and the particle generation rate v of the particle factory is established, and the relational expression satisfies the following formula:
wherein rho is the density of the slurry particles; r is the slurry particle radius; the actual working condition pulse pressure (P/MPa) and the particle generation speed (m/S) of the particle factory in the EDEM are calibrated, as shown in fig. 5-7, specifically, a particle factory 4 for guniting is established in the EDEM, a square rigid baffle 5 with the side length of 0.1m is arranged at a position 0.1m away from the particle factory 4, the spraying direction of the guniting is shown as 6 in fig. 5, the size Fc of the rigid baffle after the pressure applied to the rigid baffle after the guniting is started is stable is recorded, the relation between the guniting pressure P and the particle speed of the particle factory in the EDEM is P ═ Fc/S, and S in the formula is the area of the rigid baffle.
Optionally, before the fourth soil layer model is grouted according to the particle generation rate and the injection speed of the particle factory 4 in the target discrete element grouting model, the method further comprises:
determining the central position of the fourth soil layer model as a grouting hole;
grouting the fourth soil layer model according to the particle generation rate and the injection speed of a particle factory in the target discrete element grouting model, and the grouting method comprises the following steps:
and grouting the grouting holes of the fourth soil layer model according to the particle generation rate and the injection speed of the particle factory in the target discrete element grouting model.
In the optional embodiment, an external API code supported by EDEM software is written in C + + language, and a custom particle factory is established in the center of the disc soil layer model to serve as a grouting hole, so that 360-degree rotary spraying grouting is realized. A Hertz-Mindlin with JKR contact model is adopted among slurry particles. And spraying slurry particles to the rigid wall through a particle factory, extracting stress data of the rigid wall unit, and calibrating grouting parameters.
And determining parameter values in the EDEM particle factory under different working conditions through established relational expressions between the pulse pressure and the grouting amount in the grouting working conditions and the particle generation rate and the particle speed of the EDEM particle factory.
And obtaining a ballasted track model file through the processing, and then performing calculation simulation by using the ballasted track model to obtain data reflecting the interaction condition, the load transmission mode and the stress deformation characteristic of each structure in the actual ballasted track.
The grouting process simulation method provided by the invention has the advantages that the grouting soil structure is simplified into a simplified structure consisting of various typical soil layers, an EDEM discrete element model is established according to soil property parameters obtained by geological survey, a self-defined grouting hole (particle factory) is established through an API (application program interface) in the EDEM, corresponding stress confining pressure is applied to the soil layer model, numerical calculation is carried out by using the discrete element grouting soil layer model, the interaction condition of soil particles and the interaction data of slurry particles and soil particles in the actual soil body grouting reinforcement process can be truly reflected, the modeling process is simple, the required calculation time is short, the post-processing of required results is more convenient, and the method is easier to popularize and use in the design and calculation analysis of soil body rotary grouting engineering.
This application embodiment should provide a slip casting process analog system, include:
the first unit is used for establishing a first soil layer model corresponding to a soil layer to be grouted;
the second unit is used for establishing a target discrete element grouting model according to soil property parameters of each layer of soil layer in the first soil layer model;
the third unit is used for determining a contact model corresponding to each soil layer according to the soil quality type of each soil layer in the first soil layer model and optimizing the first soil layer model according to the contact model to obtain a second soil layer model;
the fourth unit is used for adjusting the second soil layer model into a third soil layer model according to the preset soil layer particle microscopic parameters;
the fifth unit is used for carrying out ground stress balance processing on the third soil layer model to obtain a fourth soil layer model;
and the sixth unit is used for grouting the fourth soil layer model according to the particle generation rate and the injection speed of the particle factory in the target discrete element grouting model and acquiring target data of the fourth soil layer model in the grouting process.
The grouting process simulation system can realize the steps of each embodiment of the grouting process simulation method, and can achieve the same technical effect, and the details are not repeated here.
An embodiment of the present application further provides a readable storage medium, on which a program or instructions are stored, which when executed by a processor, implement the steps of the grouting process simulation method according to the first aspect. The readable storage medium can realize the steps of each embodiment of the grouting process simulation method, and can achieve the same technical effects, which are not described herein again.
The foregoing detailed description of the preferred embodiments of the invention has been presented. It should be understood that numerous modifications and variations could be devised by those skilled in the art in light of the present teachings without departing from the inventive concepts. Therefore, the technical solutions available to those skilled in the art through logic analysis, reasoning and limited experiments based on the prior art according to the concept of the present invention should be within the scope of protection defined by the claims.
Claims (10)
1. A grouting process simulation method is characterized by comprising the following steps:
establishing a first soil layer model corresponding to a soil layer to be grouted;
establishing a target discrete element grouting model according to soil property parameters of each layer of soil layer in the first soil layer model;
determining a contact model corresponding to each soil layer according to the soil quality type of each soil layer in the first soil layer model, and optimizing the first soil layer model according to the contact model to obtain a second soil layer model;
adjusting the second soil layer model into a third soil layer model according to the preset soil layer particle microscopic parameters;
carrying out ground stress balance treatment on the third soil layer model to obtain a fourth soil layer model;
and grouting the fourth soil layer model according to the particle generation rate and the injection speed of the particle factory in the target discrete element grouting model, and acquiring target data of the fourth soil layer model in the grouting process.
2. The grouting process simulation method of claim 1, wherein determining the contact model corresponding to each soil layer according to the soil property type of each soil layer in the first soil layer model comprises:
acquiring surface energy parameters corresponding to soil types of all soil layers in the first soil layer model;
and determining a contact model corresponding to each soil layer according to the surface energy parameters.
3. The grouting process simulation method of claim 1, wherein the predetermined soil layer particle microscopic parameters comprise at least one of an elastic modulus, a density, a poisson's ratio, a coefficient of restitution, a coefficient of sliding friction, or a coefficient of static friction.
4. The grouting process simulation method of claim 1, wherein performing ground stress balance processing on the third soil layer model to obtain a fourth soil layer model comprises:
and controlling boundary wall units of soil layers in the third soil layer model to move according to a preset track, and applying preset pressure to the boundary wall units to obtain the fourth soil layer model.
5. The grouting process simulation method according to claim 1, wherein the obtaining target data of the fourth soil layer model in the grouting process comprises:
and acquiring the interaction condition of soil particles and the interaction data of the slurry particles and the soil particles in the grouting process of the fourth soil layer model.
6. The grouting process simulation method of claim 1, wherein the soil property parameters include at least one of soil layer density, elastic modulus, and soil particle friction coefficient.
7. The grouting process simulation method of claim 1, wherein the first soil layer model comprises at least two soil layers including at least two of a filler layer, a clay layer and a gravel layer.
8. The grouting process simulation method according to claim 1, wherein before grouting the fourth soil layer model according to the particle generation rate and the injection velocity of the particle plant in the target discrete element grouting model, the method further comprises:
determining the central position of the fourth soil layer model as a grouting hole;
the grouting of the fourth soil layer model according to the particle generation rate and the injection speed of the particle factory in the target discrete element grouting model comprises the following steps:
and grouting the grouting holes of the fourth soil layer model according to the particle generation rate and the injection speed of the particle factory in the target discrete element grouting model.
9. A grouting process simulation system, comprising:
the first unit is used for establishing a first soil layer model corresponding to a soil layer to be grouted;
the second unit is used for establishing a target discrete element grouting model according to soil property parameters of each layer of soil layer in the first soil layer model;
the third unit is used for determining a contact model corresponding to each soil layer according to the soil quality type of each soil layer in the first soil layer model and optimizing the first soil layer model according to the contact model to obtain a second soil layer model;
the fourth unit is used for adjusting the second soil layer model into a third soil layer model according to the preset soil layer particle microscopic parameters;
the fifth unit is used for carrying out ground stress balance processing on the third soil layer model to obtain a fourth soil layer model;
and the sixth unit is used for grouting the fourth soil layer model according to the particle generation rate and the injection speed of the particle factory in the target discrete element grouting model and acquiring target data of the fourth soil layer model in the grouting process.
10. A readable storage medium, on which a program or instructions are stored which, when executed by a processor, carry out the steps of the grouting process simulation method according to any one of claims 1-8.
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| CN111709148A (en) * | 2020-06-22 | 2020-09-25 | 河北工业大学 | Discrete element numerical simulation method for hydraulic erosion damage of cohesive sand |
| CN212568764U (en) * | 2020-03-10 | 2021-02-19 | 北京市政路桥股份有限公司 | Induced grouting experimental model for saturated fine sand layer |
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| CN110263362A (en) * | 2019-04-25 | 2019-09-20 | 南京大学（苏州）高新技术研究院 | Rock And Soil discrete element fluid structurecoupling method for numerical simulation based on void density stream |
| CN212568764U (en) * | 2020-03-10 | 2021-02-19 | 北京市政路桥股份有限公司 | Induced grouting experimental model for saturated fine sand layer |
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