A full-solid waste self-excitation slag soil slurry and a preparation method thereof

Abstract

This invention discloses a self-activated solid waste slurry and its preparation method, comprising waste slag, a solid waste cementitious material, and water. The components are expressed as follows by weight percentage or parts: 100 parts waste slag; 15-60 parts solid waste cementitious material, wherein the solid waste cementitious material consists of a silicon-aluminum rich precursor, a strongly alkaline activation source, and a rheology-modifying supplementary source, with a mass ratio of 1:(0.2-0.8):(0.1-0.4); and water. This invention eliminates the highly corrosive liquid chemical activator required in traditional alkaline activation materials, achieving self-activation through dry powder premixing of a strongly alkaline activation source, a silicon-aluminum rich precursor, and a rheology-modifying supplementary source.

Description

Technical Field

[0001] This application relates to the technical field of solid waste resource utilization and civil engineering grouting materials, and in particular to a self-excited slag grouting solution made entirely from solid waste and its preparation method. Background Technology

[0002] Waste slag typically exhibits complex characteristics such as high water content, high clay content, and the presence of admixtures. Traditional grouting materials mainly rely on silicate cement, which faces a serious risk of performance degradation when processing waste slag rich in clay minerals (such as montmorillonite).

[0003] Defects and shortcomings of existing technology: 1. Interfacial cementation failure caused by electrochemical antagonism of clay minerals. When using traditional cement-based materials to solidify high-clay-content slag, minerals such as montmorillonite and illite, with their high cation exchange capacity (CEC), adsorb large amounts of Ca from the liquid phase through cation exchange. 2+ A dense electrostatic envelope layer forms on the particle surface. This shielding effect hinders the cross-interface diffusion of hydrated ions; simultaneously, clay minerals competitively absorb water due to interlayer swelling, leading to microphase separation and a loose structure in the interfacial transition zone (ITZ) due to water deficiency. Ultimately, the cementitious products, due to their unbalanced spatial distribution, fail to construct a continuous mechanical framework, resulting in a significant deterioration in macroscopic strength.

[0004] 2. Limitations in the applicable construction period and performance degradation due to imbalance in activation kinetics. Existing alkaline activation systems often employ strongly alkaline liquid activators to achieve early strength. High concentrations of OH... - The instantaneous depolymerization of precursor glass beads results in an extremely short slurry induction period and a drastic time-varying decay in rheological properties, making it difficult to meet the requirements of long-distance pumping construction. If chemical retarder is added, the ion chelation effect often interferes with the condensation rate of the silica-alumina units, causing a large number of interconnected capillary pores inside the hardened body, which severely degrades the impermeability and density of the stone body.

[0005] 3. Environmental Risks and Construction Safety Bottlenecks of Strongly Alkaline Liquid Activators. Existing alkaline activation and solidification schemes heavily rely on liquid strongly alkaline activators such as water glass and sodium hydroxide. These substances are highly corrosive, posing serious safety hazards and construction risks when operating in confined underground spaces (such as inside tunnels). Furthermore, the strongly alkaline liquid components are highly susceptible to leaching and leakage in complex and porous slag environments, causing irreversible environmental loads on the pH balance of the groundwater ecosystem.

[0006] 4. The blocking and porosimetry effects of organic residues on the cementitious network. The surfactants such as foaming agents and dispersants commonly found in shield tunneling slag form a hydrophobic film on the surface of the cementitious products, thus blocking the migration paths of active ions and inhibiting condensation reactions. Simultaneously, the microbubbles induced by surfactants gradually evolve into structural defects and pores during the system hardening process. Traditional solidification systems lack the ability to adsorb, passivate, or neutralize these organic residues, resulting in a low slurry stone formation rate and difficulty in converting complex slag components.

[0007] 5. Insufficient activation stability due to the imbalance of component dissolution kinetics in the whole solid waste system. Existing whole solid waste solidification schemes are mostly at the stage of simple component stacking, lacking refined synergistic research on the matching of dissolution-reaction rates among multi-source solid wastes. Early strength is often hampered by insufficient alkali source release kinetics leading to an "induction vacuum period," or by insufficient precursor depolymerization due to pH fluctuations. Currently, there is a lack of a synergistic solidification system that can utilize the chemical potential difference between solid wastes to spontaneously construct a dynamic equilibrium of "rapid activation-long-term sustained release" under ambient temperature conditions. Summary of the Invention

[0008] Therefore, this application provides a self-excited solid waste slurry and its preparation method.

[0009] According to a first aspect of the embodiments of this application, a self-generating solid waste slurry is provided, comprising waste slag, solid waste cementitious material and water, wherein the components are expressed as follows by weight percentage or parts by weight: 100 portions of waste soil; 15-60 parts of solid waste cementitious material; The total water volume is added according to the initial consistency of the slurry being maintained at 90~170mm and the fluidity being maintained at 142.280~290.545mm; The solid waste cementitious material is composed of the following components, each in parts by weight: 6.82-46.15 parts of silicon-rich aluminum precursor; Strongly alkaline stimulant: 1.36-36.92 parts; Rheological regulation supplement source 0.68-18.46 parts.

[0010] Optionally, the waste soil includes at least one or more of montmorillonite, illite, and kaolinite.

[0011] Optionally, the waste soil is selected from one or more of the following: tunnel shield excavation soil and deep foundation pit excavation soil.

[0012] Optionally, the silicon-rich aluminum precursor is selected from slag powder, lithium slag, metakaolin, rice husk ash, red mud, fly ash, glass powder, steel slag powder, coal gangue powder, and carbide slag.

[0013] Optionally, the strongly alkaline excitation source is selected from carbide slag, high-calcium steel slag powder, and desulfurized gypsum.

[0014] Optionally, the rheological adjustment supplement source is selected from fly ash, waste stone powder, and steel slag powder.

[0015] Optionally, the silicon-rich aluminum precursor is slag powder; the strongly alkaline activation source is carbide slag; and the rheology adjustment supplement source is fly ash.

[0016] Optionally, the slag powder has a glass phase content of ≥80% and a specific surface area of ​​350 m². 2 / kg, with an activity index not lower than S75 grade; The fly ash is selected from either type F or type C fly ash; The fly ash is of grade I and contains a hollow glass microsphere structure.

[0017] According to a second aspect of the embodiments of this application, a method for preparing the above-mentioned self-excited solid waste slurry is provided, comprising the following steps: Step S1: Mix water, silicon-rich aluminum precursor, strong alkaline excitation source and rheology adjustment supplement source and shear stir to obtain a uniformly stirred all-solid waste mixed slurry; Step S2: Add the waste slag to the all-solid waste mixed slurry and continuously shear and stir until there is no obvious floating slurry on the surface of the slurry and no particle agglomeration inside, to obtain the all-solid waste self-excited slag slurry.

[0018] Optionally, in S1, the impeller linear velocity of the shearing and stirring is controlled at 10~25m / s, and the shearing and stirring time is 2~8min; in S2, the shearing and stirring time is 3~10min.

[0019] Optionally, when the cement-to-aggregate ratio is between 0.45 and 0.6, the CASH gel forms a continuous and dense skeletal network; the upper limit of the cement-to-aggregate ratio should not exceed 0.7, wherein the cement-to-aggregate ratio is the mass ratio of the solid waste cementitious material to the waste slag. For slag containing foaming agents and flocculants, by adjusting the coal-to-mineral ratio to the range of 0.2 to 0.4, the high specific surface area of ​​fly ash is used to adsorb residual organic components, and the physical properties of its hollow microspheres are used to improve the flow retention capacity of the slurry within 2 hours. The coal-to-mineral ratio is the mass ratio of the rheological adjustment supplement source to the silicon-aluminum rich precursor.

[0020] The technical solutions provided by the embodiments of this application may include the following beneficial effects: 1. This system overcomes the dependence of traditional alkaline activation systems on liquid activators, achieving synergistic self-activation of solid components. A pure solid waste-based solid activation system was constructed by mixing and stirring a strongly alkaline activation source, a silicon-aluminum-rich precursor, and a rheology-modified supplementary source. This system avoids the corrosive risks and environmental burden of strongly alkaline liquid chemical reagents, significantly reduces the carbon footprint of production and construction processes, and greatly improves the safety level of underground confined space construction. Through the chemical energy complementarity among various industrial solid wastes, efficient resource utilization of waste is achieved.

[0021] 2. Enhanced physicochemical modification of high-clay-content waste soil, improving the nucleation efficiency of cementitious products. For waste soil with extremely high fine powder content, this invention utilizes the high-concentration ionic environment dissolved from the entire solid waste system to effectively disrupt the double-layer structure and electrostatic shielding effect of clay minerals, inducing the transformation of clay mineral components from inert aggregates to an active matrix. By promoting the dissolution and condensation of aluminosilicate units, C-(A)-SH gel is generated in situ, increasing the early compressive strength of the solidified aggregate by more than 200% compared to silicate cement-based materials with the same admixture.

[0022] 3. The dissolution-condensation kinetics equilibrium was optimized, achieving excellent rheological stability and pumpability. By precisely controlling the dissolution equilibrium of the strongly alkaline initiation source and the depolymerization rate of the silica-alumina-rich precursor, the induction period of the slurry was extended without the need for additional retarders. Combined with the rheological adjustment of the microstructure of the supplementary source, the initial yield stress and shear viscosity of the slurry were significantly reduced. The slurry exhibits fluidity retention capabilities comparable to cement-based grouting materials, effectively solving the time-varying blockage problem during long-distance pumping grouting.

[0023] 4. A micro-component compaction filling mechanism was constructed, significantly enhancing the impermeability of the slag mass. Response surface methodology (RSM) was used to optimize the multi-component gradation, ensuring the formation of supersaturated cementitious products during the solidification reaction, thus filling the capillary pores between soil particles at the microscale. Experimental results showed that the impermeability coefficient of the slag mass could be stably controlled at 10. -8 With a strength of cm / s, its compressive strength and impermeability are superior to conventional grouting materials, providing reliable mechanical support and hydraulic sealing for in-situ backfilling of underground engineering projects.

[0024] 5. Possesses good raw material adaptability and industrial production compatibility. This invention exhibits extremely strong steady-state solidification capabilities for slag with high moisture content and a wide gradation range. Utilizing a single-component dry powder preparation mode, it is directly compatible with existing industrial mixing equipment and grouting processes, requiring no complex modifications to on-site construction systems, significantly improving the efficiency of large-scale engineering applications of all-solid waste grouting materials.

[0025] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and do not limit this application. Attached Figure Description

[0026] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0027] Figure 1 This is a particle size distribution curve of shield tunneling excavated soil, illustrated according to an exemplary embodiment.

[0028] Figure 2 This is a diagram showing an XRD test and Rietveld refinement of a tunnel boring machine excavation sample according to an exemplary embodiment.

[0029] Figure 3 This is a SEM image of a sample after 28 days of curing, as shown in Example 1 according to an exemplary embodiment.

[0030] Figure 4 This is a SEM image of the sample after 28 days of curing, as shown in Example 2 according to an exemplary embodiment.

[0031] Figure 5 This is a SEM image of the sample after 28 days of curing, as shown in Example 3 according to an exemplary embodiment.

[0032] Figure 6 This is a SEM image of the sample after 28 days of curing, as shown in Example 4 according to an exemplary embodiment.

[0033] Figure 7 This is a SEM image of the sample after 28 days of curing, as shown in Example 5 according to an exemplary embodiment.

[0034] Figure 8 This is a SEM image of the sample after 28 days of curing, as shown in Example 6 according to an exemplary embodiment.

[0035] Figure 9 The stratified release spectrum is obtained according to EDS Spectrum in Embodiment 1, which is illustrated according to an exemplary embodiment.

[0036] Figure 10 The stratified release spectrum is obtained according to EDS Spectrum in Embodiment 2, as illustrated in an exemplary embodiment.

[0037] Figure 11 The layered release spectrum is obtained according to EDS Spectrum in Embodiment 3, as illustrated in an exemplary embodiment.

[0038] Figure 12 The layered release spectrum is obtained according to EDS Spectrum in Embodiment 5, which is illustrated according to an exemplary embodiment.

[0039] Figure 13 The layered release spectrum is obtained according to EDS Spectrum in Embodiment 4, which is illustrated according to an exemplary embodiment.

[0040] Figure 14 The layered release spectrum is obtained according to EDS Spectrum in Embodiment 6, which is illustrated according to an exemplary embodiment.

[0041] Figure 15 This is a thermogravimetric analysis result of a sample cured for 28 days according to an exemplary embodiment of Example 1.

[0042] Figure 16 This is a thermogravimetric analysis result of a sample cured for 28 days according to an exemplary embodiment of Example 2.

[0043] Figure 17 This is a thermogravimetric analysis result of a sample cured for 28 days according to an exemplary embodiment of Example 3.

[0044] Figure 18 This is a thermogravimetric analysis result of a sample cured for 28 days according to an exemplary embodiment of Example 5.

[0045] Figure 19 This is a graph showing the thermogravimetric test results of a sample after 28 days of curing, according to an exemplary embodiment of Example 4.

[0046] Figure 20 This is a thermogravimetric analysis result of a sample cured for 28 days according to an exemplary embodiment of Example 6.

[0047] Figure 21 This is a specific ratio and performance diagram of the response surface optimal ratio of the group with the highest density, as illustrated in an exemplary embodiment.

[0048] Figure 22 This is a specific ratio and performance diagram of the response surface optimal ratio of the minimum density group, as illustrated in an exemplary embodiment.

[0049] Figure 23 This is a specific ratio and performance diagram of the response surface optimal ratio of the group with the maximum bleeding rate, as illustrated in an exemplary embodiment.

[0050] Figure 24 This is a specific ratio and performance diagram of the response surface optimal ratio of the minimum bleeding rate group, as illustrated in an exemplary embodiment.

[0051] Figure 25 This is a specific ratio and performance diagram of the response surface optimal ratio of the group with the highest stone rate, as shown according to an exemplary embodiment.

[0052] Figure 26 This is a specific ratio and performance diagram of the response surface optimal ratio of the group with the minimum stone rate, as illustrated in an exemplary embodiment.

[0053] Figure 27 This is a specific ratio and performance diagram of the optimal ratio of the response surface of the group with the maximum consistency, as shown in an exemplary embodiment.

[0054] Figure 28 This is a specific ratio and performance diagram of the optimal ratio of the response surface of the minimum consistency group, as illustrated in an exemplary embodiment.

[0055] Figure 29 This is a specific ratio and performance diagram of the response surface optimal ratio of the group with the maximum liquidity, as illustrated in an exemplary embodiment.

[0056] Figure 30 This is a specific ratio and performance diagram of the response surface optimal ratio of the minimum fluidity group, as illustrated in an exemplary embodiment.

[0057] Figure 31 This is a specific ratio and performance diagram of the optimal ratio of the response surface of the group with the maximum compressive strength, as shown in an exemplary embodiment.

[0058] Figure 32 This is a specific ratio and performance diagram of the response surface optimal ratio of the minimum compressive strength group, as illustrated in an exemplary embodiment.

[0059] Figure 33 This is a specific ratio and performance diagram of the optimal ratio of the response surface of the group with the largest permeability coefficient, as shown in an exemplary embodiment.

[0060] Figure 34 This is a specific ratio and performance diagram of the response surface optimal ratio of the minimum permeability group, as illustrated in an exemplary embodiment.

[0061] Figure 35 This is a specific ratio and performance diagram of the response surface optimal ratio of the optimal cost-performance group, as illustrated in an exemplary embodiment.

[0062] Figure 36 It is a specific ratio and performance diagram of the optimal ratio of the response surface of the group with the strongest mechanical properties, as shown in an exemplary embodiment.

[0063] Figure 37 This is a specific ratio and performance diagram of the optimal ratio of the response surface of the optimal pumpability group, as illustrated in an exemplary embodiment.

[0064] Figure 38This is a specific ratio and performance diagram of the response surface optimal ratio of the stability optimal group, as illustrated in an exemplary embodiment.

[0065] Figure 39 This is a specific ratio and performance diagram of the optimal ratio of the response surface of the optimal group of permeability coefficients, as illustrated in an exemplary embodiment. Detailed Implementation

[0066] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application.

[0067] The excavated soil used in this embodiment is shield tunnel excavated soil, and its particle size distribution curve is detailed in [reference needed]. Figure 1 Alternatively, one can choose deep foundation pit excavation soil or a combination of both in any ratio.

[0068] XRD tests were performed on the tunnel boring machine excavation soil sample, and Rietveld finishing was carried out (see...). Figure 2 The phase content results were obtained and are shown in Table 1.

[0069] Table 1:

[0070] Prior to the specific embodiments, optimization experiments were conducted on the silicon-rich aluminum precursor, the strongly alkaline excitation source, and the rheology-modified supplementary source. Details are as follows: (1) Selection test of silicon-rich aluminum precursor: Among slag powder, lithium slag, metakaolin, rice husk ash, red mud, fly ash, glass micro powder, steel slag powder, coal gangue powder, and carbide slag, the most suitable silicon-rich aluminum precursor for solidification of slag slurry was selected. The specific proportions are shown in Table 2. The optimization test used the same mass of 6 mol / L NaOH to carry out solidification test on the above silicon-rich aluminum precursors. PO42.5 cement was used as the control group (using the same mass of NaOH solution with the corresponding mass of water). See Table 3. The XRF test results of the above materials are shown in Table 4.

[0071] Table 2:

[0072] Table 3:

[0073] Table 4:

[0074] Based on the above results, slag powder was selected as the most suitable silicon-aluminum precursor for solidifying slag soil.

[0075] (2) Selection test of strong alkaline activating source: Select a strong alkaline activating source that can release higher alkalinity in slag slurry from carbide slag, high calcium steel slag powder and desulfurization gypsum. The specific ratio is shown in Table 5.

[0076] Table 5:

[0077] The above three strongly alkaline activators mainly release alkalinity into water through the CaO they contain, i.e., the amount of Ca(OH)2 generated. By adding equal masses of the three strongly alkaline activators to equal masses of slag-soil mixture, the pH value of the solution after 2 hours was measured using a pH meter. The results are shown in Figure 6.

[0078] Table 6:

[0079] Based on the above results, carbide slag was selected as the most suitable strong alkaline activator for releasing higher alkalinity in slag slurry.

[0080] (3) Rheological regulation supplementary source selection test: Select the most suitable rheological regulation supplementary source for providing rheological regulation in slurry from fly ash, waste stone powder and steel slag. Prepare slurry with the same mass of slag and water respectively from fly ash, waste stone powder and steel slag powder, and compare the consistency of the slurry to determine its regulating fluidity.

[0081]

[0082] Of the three rheology adjustment sources mentioned above, fly ash exhibits a "ball bearing effect" and contains active aluminum. In waste stone powder, CaO mainly exists in the form of CaCO3, primarily providing skeletal support. Steel slag powder also plays a role in regulating fluidity, but its active aluminum content is relatively low. The consistency test results for the three slurries are shown in Table 7 below.

[0083] Table 7:

[0084] Based on the above results, fly ash was selected as the most suitable rheological adjustment source for regulating the consistency of slag slurry.

[0085] Example 1: The specific formulation of Example 1 is as follows:

[0086] Step S1: Add 1095 kg of water, 93.75 kg of slag powder, 37.5 kg of carbide slag and 18.75 kg of fly ash into a mixing tank and shear and mix to obtain a uniformly mixed solid waste slurry. The feeding interval is controlled at 10~30s to ensure that the powder micro-agglomerates are fully deagglomerated, and the stirring speed is set at 1500~3500r / min (preferably 2600r / min), and stirring is continued for 3~5min.

[0087] Step S2: Add 1000 kg of waste slag to the all-solid waste mixed slurry and continuously shear and stir until there is no obvious floating slurry on the surface of the slurry and no particle agglomeration inside, to obtain the all-solid waste self-excited slag slurry.

[0088] Add the weighed waste slag to the above-mentioned solid waste mixture. Continue stirring at the above-mentioned high shear speed for 3-5 minutes, then stop stirring and observe to confirm that the slag is in a homogeneous flow state, with no visible powder agglomeration or slag clumping. Subsequently, take samples for testing, and then cast into shape for standard curing.

[0089] In this embodiment, the silicon-rich aluminum precursor is slag powder, 93.75 kg. The slag powder contains 34.85 wt% CaO, 34.50 wt% SiO2, 16.55 wt% Al2O3, 10.63% MgO, 0.33% Fe2O3, and 3.14 wt% other components. It should be noted that the "other components" here refer to the numerous trace elements detected by XRF testing. These elements are present in large quantities but in very small amounts and do not affect the properties of the self-excited solid waste slag slurry prepared in this application. Therefore, they are all categorized as "other components".

[0090] The strongly alkaline excitation source was selected from carbide slag, 37.5 kg. The strongly alkaline excitation source contained 89.86 wt% CaO, 5.08 wt% SiO2, 2.37 wt% Al2O3, 0.72 wt% Fe2O3, 0.3 wt% MgO, 0.31% SO3, and 1.36 wt% other elements. It should be noted that the "other" elements here refer to the numerous trace elements detected by XRF testing. These elements are present in large quantities but in very small amounts and do not affect the properties of the self-excited solid waste slag slurry prepared in this application. Therefore, they are all classified as "other".

[0091] The rheology modulator supplementary source is fly ash, 18.75 kg. The SiO2 content in the rheology modulator supplementary source is 50.37%, the Al2O3 content is 23.47%, and it may also contain Fe2O3, CaO, and MgO. The Fe2O3 content is 11.09%, the CaO content is 5.30%, the MgO content is 0.78%, and the other components are 8.99 wt%. It should be noted that the "other components" here refer to many trace elements detected by XRF testing. These elements are present in large quantities but in very small amounts and do not affect the properties of the self-excited solid waste slurry prepared in this application; therefore, they are all classified as "other components".

[0092] Example 2: The difference between this embodiment and Embodiment 1 lies in the following specific proportions:

[0093] Example 3: The difference between this embodiment and Embodiment 1 lies in the following specific proportions:

[0094] Example 4: The difference between this embodiment and Embodiment 1 lies in the following specific proportions:

[0095] Example 5: The difference between this embodiment and Embodiment 1 lies in the following specific proportions:

[0096] Example 6: The difference between this embodiment and Embodiment 1 lies in the following specific proportions:

[0097] This invention is based on orthogonal experiments, using the cementitious material-to-aggregate ratio (A), the electro-ore ratio (B), the coal-ore ratio (C), and the amount of water added as four factors. The cementitious material-to-aggregate ratio (A) is the mass ratio of the solid waste cementitious material to the waste slag (0.15-0.6), the electro-ore ratio (B) is the mass ratio of the strongly alkaline activation source to the silicon-aluminum-rich precursor (0.2-0.8), and the coal-ore ratio (C) is the mass ratio of the rheological adjustment supplementary source to the silicon-aluminum-rich precursor (0.1-0.4). All embodiments of this invention employ the following common real-time feeding and high-shear activation process, aiming to induce a self-excited reaction in the solid waste system through the mechanochemical effect generated by physical shear force.

[0098] The following examples are representative locations in orthogonal experiments. For specific ratios, please refer to Table 8 below.

[0099] Table 8: Representative groups of orthogonal experiments;

[0100] The following are examples of representative points in the orthogonal experiment. For details of the basic performance, please refer to Table 9 below.

[0101] Table 9:

[0102] The following are examples of representative points in the orthogonal test. The specific compressive strength (unit: MPa) and permeability coefficient (unit: cm / s) are detailed in Table 10 below.

[0103] Table 10:

[0104] The following is an example of a representative site from an orthogonal experiment. Samples cured for 28 days were subjected to SEM testing, and the results are shown below. Figure 3 and Figure 4 : Examples 1 and 2 are low-performance groups, such as... Figure 3 and Figure 4 As shown, the internal structure of the concretion exhibits significant discontinuity. Many soil particles are exposed, with only a small amount of scattered flocculent products attached. The system contains numerous large, interconnected pores and crisscrossing microcracks, resulting in a weak supporting framework. Due to the low cement-to-aggregate ratio, the total amount of cementitious products generated by the self-initiated reaction is severely insufficient to cover the high specific surface area of ​​the clay minerals, let alone fill the large pores. This directly leads to the extremely low strength index and high permeability coefficient of this group.

[0105] Examples 3 and 5 are medium-performance groups, such as... Figure 5 and Figure 7 As shown, with the optimization of the mix proportions, the density of the aggregate significantly increased. A certain amount of gel connected the slag particles, significantly reducing the pore size and initially showing a trend towards a more integrated structure. Under this mix proportion, the synergistic effect of carbide slag and mineral slag began to emerge, with the generated C-(A)-SH gel playing a role in space filling and interfacial bonding. Although a small number of micropores and cracks still exist, they are sufficient to support a moderate level of compressive strength and reduce the permeability coefficient to 10. -7 The speed is in the cm / s range.

[0106] Examples 4 and 6 are high-performance groups, such as... Figure 6 and Figure 8 As shown, the stone body exhibits an extremely dense, homogeneous blocky morphology. The slag particles completely disappear within a continuous, high-density C-(A)-SH gel network. Although a few cracks are visible in Example 4, the overall homogeneous blocky properties are still very evident. In Example 6, almost no visible micropores are observed, and the gel exhibits a glassy, ​​dense characteristic. This group represents the optimal reaction range described in this invention. The self-excitation mechanism under a high glue-to-grain ratio generates a continuous reaction, inducing a deep condensation reaction, with a large amount of Si-O bonds reorganizing and forming a dense aluminosilicate framework. This tendency towards low porosity at multiple scales is the macroscopic achievement of the highest compressive strength (up to 6.6 MPa) and ultra-high performance seepage prevention index (…). The fundamental cause (at the cm / s level).

[0107] The following is an example of a representative site in an orthogonal experiment, where samples were subjected to EDS testing after 28 days of curing.

[0108] Low-performance Example 1: Layered release spectrum obtained from EDS Spectrum (see details below) Figure 9 ,from Figure 9 As can be seen, the peak value of Ca is relatively low, the peak value of Al is in the middle, and the peak value of Si is relatively high. Combined with EDS mapping, the calcium-to-silicon ratio is 0.433 and the aluminum-to-silicon ratio is 0.403. The slurry of this example belongs to a typical medium-calcium aluminum silicate system, which is in the transition range from low-calcium aluminum silicate polymer to aluminum-substituted calcium silicate. The elemental contents obtained from EDS mapping for low-performance Example 1 are shown in Table 11 below.

[0109] Table 11:

[0110] Low-performance Example 2: Layered release spectrum obtained from EDS Spectrum (see details below) Figure 10 ,from Figure 10 As can be seen, the peak value of Ca is relatively low, the peak value of Al is in the middle, and the peak value of Si is relatively high. Combined with EDS mapping, the calcium-to-silicon ratio is 0.256 and the aluminum-to-silicon ratio is 0.460. The slurry of this example is a typical low-calcium aluminosilicate geopolymer. Due to the excessively low Ca content, the strength development of this slurry is slow. The elemental contents of low-performance Example 2 obtained from EDS mapping are shown in Table 12 below.

[0111] Table 12:

[0112] According to the EDS test results above, the proportion of Ca atoms in the cementation region of Examples 1 and 2 in the low-performance group is relatively low (5.00% and 2.81%, respectively). Furthermore, the Ca / Si atomic ratio can be calculated to be at a low level (approximately 0.18~0.30), indicating that under the condition of a low cement-to-slag ratio (0.15), the release of alkali source in the system is insufficient, the degree of slag powder deagglomeration is limited, and sufficient calcium-based cementitious products are not generated, resulting in an extremely low 28-day compressive strength of 0.12-0.57 MPa.

[0113] Mid-performance Example 3: Layered release spectrum obtained from EDS Spectrum (see details below) Figure 11 ,from Figure 11 As can be seen, the peak value of Ca element increases to a certain extent, the peak value of Al element decreases slightly, and the peak value of Si element is relatively high. Based on EDSMapping, the calcium-silicon ratio at this time is 0.676 and the aluminum-silicon ratio is 0.466. The slurry of the example has entered a critical range of high activity but high shrinkage risk. At this time, the early strength of the slurry increases rapidly, but it is prone to shrinkage and cracking.

[0114] The elemental contents obtained from EDS Mapping in Example 3 of the medium performance test are shown in Table 13 below.

[0115] Table 13:

[0116] Mid-performance Example 5: Layered release spectrum obtained from EDS Spectrum (see details below) Figure 12 ,from Figure 12 As can be seen, the peak value of Ca further increases, the peak value of Al decreases slightly, and the peak value of Si also decreases. Combined with EDSMapping, the calcium-silicon ratio at this time is 0.931 and the aluminum-silicon ratio is 0.483. The slurry in the example is a strong alkali-activated high-calcium system. At this time, the early strength of the slurry develops rapidly and has high early strength, but it is very easy to crack and has weak resistance to carbonization. Due to the high aluminum-silicon ratio, the later strength of the slurry develops to a certain extent, which compensates for the problem of weakened later strength caused by the high calcium-silicon ratio.

[0117] The elemental contents obtained from EDS Mapping in Example 5 of the medium performance test are shown in Table 14 below.

[0118] Table 14:

[0119] According to the EDS test results above, the distribution of Ca, Si, and Al elements in the gelation region of Examples 3 and 5 in the medium-performance group tends to be stable. Specifically, the Ca content in Example 5 is significantly increased to 6.95%, and the Si content is 10.66%. Its Ca / Si atomic ratio increases to the range of 0.47~0.65. The increased calcium ions combine with the aluminosilicate monomers to form a preliminary calcium aluminosilicate (CASH) network. This improved chemical structure stability results in a 28-day compressive strength increase to the range of 2.5~4.4 MPa, while the permeability coefficient decreases to 10. -7 The speed is in the cm / s range.

[0120] High-performance Example 4: Layered release spectrum obtained from EDS Spectrum (see details below) Figure 13 ,from Figure 13 As can be seen, the peak value of Ca element further increases, the peak value of Al element decreases slightly, and the peak value of Si element increases. Combined with EDS mapping, the calcium-silicon ratio at this time is 0.879 and the aluminum-silicon ratio is 0.410. The slurry in the example is a high calcium-alkali activating material. At this time, the early strength of the slurry develops rapidly and has high early strength. Due to the high silicon-aluminum ratio, the later strength of the slurry is high and the volume stability is good.

[0121] The elemental contents obtained from EDS Mapping in high-performance embodiment 4 are shown in Table 15 below.

[0122] Table 15:

[0123] High-performance Example 6: Layered release spectrum obtained from EDS Spectrum (see details below) Figure 14 ,from Figure 14 As can be seen, the peak value of Ca element decreased slightly, the peak value of Al element increased slightly, and the peak value of Si element decreased. Combined with EDSMapping, the calcium-silicon ratio at this time is 0.761 and the aluminum-silicon ratio is 0.512. The slurry in the example is a high calcium-aluminum alkali-activated material. Due to the decrease in calcium-silicon ratio, the early strength development of the slurry is slightly slower. Due to the increase in silicon-aluminum ratio, the later strength development of the slurry is better.

[0124] The elemental contents obtained from EDS Mapping in high-performance embodiment 6 are shown in Table 16 below.

[0125] Table 16:

[0126] According to the EDS test results above, Examples 4 and 6 of the high-performance group exhibited the optimal elemental ratios. Example 4 had a Ca atomic ratio of 8.95% and a Si atomic ratio of 14.53%; Example 6 had a Ca atomic ratio of 6.17% and a Si atomic ratio of 11.56%. Calculations showed that the Ca / Si atomic ratio of the high-performance group remained stable between 0.53 and 0.62, and the Al atomic ratio was significantly maintained above 6.16% to 6.20%. This quantitatively demonstrates that a high-aluminum-substitution-rate CASH gel was generated within the self-excited all-solid-waste system described in this invention. This gel has longer molecular chains and a higher degree of cross-linking, enabling it to generate extremely strong interfacial anchoring forces and achieve ultimate pore filling. This microscopic chemical characteristic directly supports the macroscopically highest compressive strength of 6.6 MPa and a strength of 7.18 × 10⁻⁶ MPa. -8 Ultra-high performance seepage prevention index of cm / s.

[0127] The following is an example of a representative site in an orthogonal experiment. Thermogravimetric analysis (TGA) was performed on samples cured for 28 days. By analyzing the mass loss in characteristic temperature ranges such as 50°C–200°C (loss of C-(A)-SH and AFt gel-bound water) and 400°C–500°C (decomposition of Ca(OH)2), the chemical root causes of macroscopic performance differences can be intuitively revealed. The test results are as follows: Figures 15-20 .

[0128] like Figure 15 and Figure 16In the low-performance groups (Examples 1 and 2), the weight loss peaks in the 50-200°C range were extremely insignificant, at only 3.46% and 3.35% respectively, with generally flat curves. Both total weight loss and gelation weight loss were at their lowest levels. This quantitatively demonstrates that the self-activated alkali activation levels of Examples 1 and 2 were low, resulting in extremely low amounts of C-(A)-SH, Aft, and other gels formed in the system. The low weight loss directly reflects the absolute scarcity of product quantity, making it impossible to form a connected mechanical framework, thus resulting in the weakest strength.

[0129] like Figure 17 and Figure 18 In the medium-performance group, Examples 3 and 5 showed more pronounced weight loss peaks in the 50-200°C range. The weight loss of gel-bound water in Examples 3 and 5 was 4.84% and 6.45%, respectively, with Example 5 exhibiting the highest amount of "hydration products" among all groups. This is a typical case of "high quantity, low efficiency." The high weight loss indicates the formation of a large amount of high-water-content, low-polymerization-degree transition phase. Although these products are large in volume and contain a lot of bound water (leading to drastic TG weight loss), their intermolecular chain lengths are short and their bonding forces are weak, resembling "sandcastles." Although they appear to fill the space, they do not form an efficient strength support network. Therefore, while the compressive strength and permeability coefficient of Examples 3 and 5 in the medium-performance group are better than those of Examples 1 and 2 in the low-performance group, they have not yet reached the optimal performance range.

[0130] like Figure 19 and Figure 20 In the high-performance group, Examples 4 and 6 showed significant weight loss peaks in the 50-200°C range, with the weight loss of gelled water in Examples 4 and 6 being 5.81% and 5.11%, respectively. The most notable phenomenon was that the weight loss of Example 6 (5.11%) was significantly less than that of Example 5 in the medium-performance group (6.45%), yet its strength was the strongest in the entire group. Example 6 achieved "quality over quantity" through optimized synergistic self-excitation. The generated C-(A)-SH gel exhibited extremely high polymerization degree and average chain length. Although this highly polymerized product contained relatively little interlayer water (resulting in a small TG weight loss), its microstructure had extremely high modulus and stiffness. It was noted that the weight loss of Example 6 decreased significantly (1.57%) in the 400-500°C range (calcium hydroxide decomposition region), indicating that its alkaline activator was more precisely converted into a high-performance gel, reducing ineffective strong alkali residue. The high performance of Example 6 did not stem from product stacking, but rather from the optimization of product spatial distribution (completely encapsulating particles) and the strengthening of the molecular structure. For details, please refer to Table 17, which summarizes the thermogravimetric test results in the embodiments.

[0131] Table 17:

[0132] This invention constructs a second-order polynomial mathematical model using response surface methodology (BBD / CCD), with the glue-to-aggregate ratio (A), the electric-to-ore ratio (B), the coal-to-ore ratio (C), and the amount of water added as independent variables, and density, bleeding rate, stone formation rate, consistency, fluidity, 3d compressive strength, 7d compressive strength, 28d compressive strength, 1d permeability coefficient, 3d permeability coefficient, and 7d permeability coefficient as response values.

[0133] The following examples are different functional groups obtained based on the response surface experimental design model.

[0134] This invention can configure single-function limit ratio slurries according to requirements, such as the group with the highest or lowest density, the group with the highest or lowest bleeding rate, the group with the highest or lowest stone rate, the group with the highest or lowest consistency, the group with the highest or lowest fluidity, the group with the highest or lowest compressive strength, and the group with the highest or lowest permeability coefficient.

[0135] Example - Highest Density Group, Lowest Density Group: For the specific proportions and performance of the optimal sizing ratio for the response surface of the group with the highest density, see [link to relevant documentation]. Figure 21 ,from Figure 21 It can be seen that when the glue-to-aggregate ratio is 0.6, the electric-to-ore ratio is 0.212, the coal-to-ore ratio is 0.378, and the fluidity adjustment coefficient is 0.975, the slurry density is 1520.09 kg / m³. 3 The bleeding rate was 0.924%, the stone rate was 98.805%, the consistency was 164.665 cm, the fluidity was 233.339 cm, the 3-day USC was 1.186 MPa, the 7-day USC was 3.265 MPa, the 28-day USC was 6.490 MPa, and the 1-day permeability coefficient was 1.688E. -7 cm / s, 3d permeability coefficient is 2.087E -7 cm / s, 7d permeability coefficient is 1.293E -7 cm / s.

[0136] For the specific proportions and performance of the optimal sizing ratio for the response surface of the minimum density group, see [link to relevant documentation]. Figure 22 ,from Figure 22 It can be seen that when the glue-to-aggregate ratio is 0.152, the electric-to-ore ratio is 0.699, the coal-to-ore ratio is 0.333, and the fluidity adjustment coefficient is 1.048, the density of the slurry is 1390.60 kg / m³. 3 The bleeding rate was 5.232%, the stone rate was 94.991%, the consistency was 174.963 cm, the fluidity was 286.952 cm, the 3-day USC was 0.122 MPa, the 7-day USC was 0.478 MPa, the 28-day USC was 0.136 MPa, and the 1-day permeability coefficient was 4.531E. -5 cm / s, 3d permeability coefficient is 4.878E-5 cm / s, 7d permeability coefficient is 2.344E -6 cm / s.

[0137] Example - Group with the highest water loss rate, Group with the lowest water loss rate: For the specific ratios and performance of the optimal ratios for the response surface methodology of the group with the highest water leakage rate, please refer to [link / reference]. Figure 23 ,from Figure 23 It can be seen that when the glue-to-aggregate ratio is 0.15, the electric-to-ore ratio is 0.8, the coal-to-ore ratio is 0.4, and the fluidity adjustment coefficient is 1.05, the density of the slurry is 1389.36 kg / m³. 3 The bleeding rate was 5.221%, the stone rate was 95.028%, the consistency was 166.848 cm, the fluidity was 293.034 cm, the 3-day USC was 0.024 MPa, the 7-day USC was 0.070 MPa, the 28-day USC was 0.395 MPa, and the 1-day permeability coefficient was 9.845E. -5 cm / s, 3d permeability coefficient is 1.242E -5 cm / s, 7d permeability coefficient is 7.620E -6 cm / s.

[0138] For the specific ratios and performance of the optimal ratios for the response surface methodology of the group with the lowest bleeding rate, please refer to [link / reference]. Figure 24 ,from Figure 24 It can be seen that when the glue-to-aggregate ratio is 0.346, the electric-to-ore ratio is 0.776, the coal-to-ore ratio is 0.174, and the fluidity adjustment coefficient is 1.042, the density of the slurry is 1444.33 kg / m³. 3 The bleeding rate was 0.043%, the stone rate was 99.442%, the consistency was 155.979 cm, the fluidity was 165.902 cm, the 3-day USC was 1.086 MPa, the 7-day USC was 3.435 MPa, the 28-day USC was 2.453 MPa, and the 1-day permeability coefficient was 1.658E. -7 cm / s, 3d permeability coefficient is 2.462E -7 cm / s, 7d permeability coefficient is 5.792E -8 cm / s.

[0139] Example 1 - Group with the highest stone rate, Group with the lowest stone rate: For the specific ratios and performance of the optimal ratios for the response surface of the group with the highest stone rate, see [link to relevant documentation]. Figure 25 ,from Figure 25 It can be seen that when the glue-to-aggregate ratio is 0.588, the electric-to-ore ratio is 0.205, the coal-to-ore ratio is 0.257, and the fluidity adjustment coefficient is 1.012, the density of the slurry is 1505.07 kg / m³. 3The bleeding rate was 0.001%, the stone rate was 99.537%, the consistency was 157.237 cm, the fluidity was 255.92 cm, the 3-day USC was 1.480 MPa, the 7-day USC was 3.102 MPa, the 28-day USC was 7.964 MPa, and the 1-day permeability coefficient was 2.309E. -6 cm / s, 3d permeability coefficient is 5.070E -7 cm / s, 7d permeability coefficient is 2.467E -7 cm / s.

[0140] The specific proportions and performance of the optimal ratios for the response surface of the group with the lowest stone rate are shown in the figure. Figure 26 ,from Figure 26 It can be seen that when the glue-to-aggregate ratio is 0.304, the electric-to-ore ratio is 0.402, the coal-to-ore ratio is 0.400, and the fluidity adjustment coefficient is 1.037, the density of the slurry is 1427.36 kg / m³. 3 The bleeding rate was 4.845%, the stone rate was 95.127%, the consistency was 124.209 cm, the fluidity was 202.063 cm, the 3-day USC was 0.208 MPa, the 7-day USC was 0.668 MPa, the 28-day USC was 0.129 MPa, and the 1-day permeability coefficient was 8.619E. -6 cm / s, 3d permeability coefficient is 1.533E -6 cm / s, 7d permeability coefficient is 4.759E -7 cm / s.

[0141] Example - Group with the highest consistency, Group with the lowest consistency: For the specific ratios and performance of the optimal response surface sizing for the group with the highest consistency, see [link to relevant documentation]. Figure 27 ,from Figure 27 It can be seen that when the glue-to-aggregate ratio is 0.166, the electric-to-ore ratio is 0.668, the coal-to-ore ratio is 0.106, and the fluidity adjustment coefficient is 1.047, the density of the slurry is 1402.63 kg / m³. 3 The bleeding rate was 1.529%, the stone rate was 98.302%, the consistency was 170 cm, the fluidity was 246.812 cm, the 3-day USC was 0.751 MPa, the 7-day USC was 1.325 MPa, the 28-day USC was 1.401 MPa, and the 1-day permeability coefficient was 5.079E. -5 cm / s, 3d permeability coefficient is 3.170E -6 cm / s, 7d permeability coefficient is 1.820E -6 cm / s.

[0142] For the specific ratios and performance of the optimal response surface sizing for the minimum consistency group, see [link to relevant documentation]. Figure 28 ,from Figure 28It can be seen that when the glue-to-aggregate ratio is 0.385, the electric-to-ore ratio is 0.751, the coal-to-ore ratio is 0.397, and the fluidity adjustment coefficient is 0.981, the density of the slurry is 1479.48 kg / m³. 3 The bleeding rate was 1.390%, the stone rate was 98.225%, the consistency was 90 cm, the fluidity was 141.435 cm, the 3-day USC was 0.062 MPa, the 7-day USC was 0.276 MPa, the 28-day USC was 1.255 MPa, and the 1-day permeability coefficient was 4.331E. -5 cm / s, 3d permeability coefficient is 6.991E -6 cm / s, 7d permeability coefficient is 6.280E -6 cm / s.

[0143] Example - Maximum Liquidity Group, Minimum Liquidity Group: For the specific allocation and performance of the optimal allocation of the response surface of the group with the highest liquidity, please refer to [link / reference]. Figure 29 ,from Figure 29 It can be seen that when the glue-to-aggregate ratio is 0.595, the electric-to-ore ratio is 0.283, the coal-to-ore ratio is 0.108, and the fluidity adjustment coefficient is 1.035, the slurry density is 1500.97 kg / m³. 3 The bleeding rate was 0.015%, the stone rate was 99.457%, the consistency was 147.484 cm, the fluidity was 290.545 cm, the 3-day USC was 1.353 MPa, the 7-day USC was 2.157 MPa, the 28-day USC was 7.855 MPa, and the 1-day permeability coefficient was 1.879E. -4 cm / s, 3d permeability coefficient is 3.402E -6 cm / s, 7d permeability coefficient is 2.008E -6 cm / s.

[0144] For the specific ratios and performance of the optimal allocation of the response surface of the minimum liquidity group, see [link to relevant documentation]. Figure 30 ,from Figure 30 It can be seen that when the glue-to-aggregate ratio is 0.359, the electric-to-ore ratio is 0.780, the coal-to-ore ratio is 0.366, and the fluidity adjustment coefficient is 0.979, the slurry density is 1476.46 kg / m³. 3 The bleeding rate was 0.752%, the stone rate was 98.798%, the consistency was 96.158 cm, the fluidity was 142.280 cm, the 3-day USC was 0.325 MPa, the 7-day USC was 0.597 MPa, the 28-day USC was 1.608 MPa, and the 1-day permeability coefficient was 3.359E. -5 cm / s, 3d permeability coefficient is 5.454E -6 cm / s, 7d permeability coefficient is 5.411E-6 cm / s.

[0145] Example - Group with the highest compressive strength, Group with the lowest compressive strength: For the specific proportions and performance of the optimal mix ratios for the group with the highest compressive strength, see [link to relevant documentation]. Figure 31 ,from Figure 31 It can be seen that when the glue-to-aggregate ratio is 0.499, the electric-to-ore ratio is 0.561, the coal-to-ore ratio is 0.106, and the fluidity adjustment coefficient is 0.983, the density of the slurry is 1478.15 kg / m³. 3 The bleeding rate was 0.684%, the stone rate was 98.820%, the consistency was 106.889 cm, the fluidity was 194.073 cm, the 3-day USC was 2.497 MPa, the 7-day USC was 4.396 MPa, the 28-day USC was 6.795 MPa, and the 1-day permeability coefficient was 1.167E. -6 cm / s, 3d permeability coefficient is 7.421E -8 cm / s, 7d permeability coefficient is 5.194E -8 cm / s.

[0146] For the specific proportions and performance of the optimal sizing ratios for the group with the minimum compressive strength, see [link to relevant documentation]. Figure 32 ,from Figure 32 It can be seen that when the glue-to-aggregate ratio is 0.187, the electric-to-ore ratio is 0.547, the coal-to-ore ratio is 0.353, and the fluidity adjustment coefficient is 0.986, the density of the slurry is 1439.64 kg / m³. 3 The bleeding rate was 3.611%, the stone rate was 96.287%, the consistency was 149.439 cm, the fluidity was 243.661 cm, the 3-day USC was 0.035 MPa, the 7-day USC was 0.067 MPa, the 28-day USC was 0.127 MPa, and the 1-day permeability coefficient was 4.269E. -5 cm / s, 3d permeability coefficient is 4.366E -6 cm / s, 7d permeability coefficient is 3.495E -6 cm / s.

[0147] Example 1 - Group with the highest permeability coefficient, Group with the lowest permeability coefficient: For the specific ratios and performance of the optimal response surface ratio for the group with the highest permeability, see [link to relevant documentation]. Figure 33 ,from Figure 33 It can be seen that when the glue-to-aggregate ratio is 0.185, the electric-to-ore ratio is 0.799, the coal-to-ore ratio is 0.391, and the fluidity adjustment coefficient is 1.028, the density of the slurry is 1414.32 kg / m³. 3The bleeding rate was 3.453%, the stone rate was 96.532%, the consistency was 149.294 cm, the fluidity was 252.735 cm, the 3-day USC was 0.093 MPa, the 7-day USC was 0.070 MPa, the 28-day USC was 1.150 MPa, and the 1-day permeability coefficient was 1.011E. -4 cm / s, 3d permeability coefficient is 1.232E -5 cm / s, 7d permeability coefficient is 9.858E -6 cm / s.

[0148] For the specific ratios and performance of the optimal response surface ratio for the group with the minimum permeability coefficient, see [link to relevant documentation]. Figure 34 ,from Figure 34 It can be seen that when the glue-to-aggregate ratio is 0.445, the electric-to-ore ratio is 0.564, the coal-to-ore ratio is 0.170, and the fluidity adjustment coefficient is 0.975, the density of the slurry is 1474.54 kg / m³. 3 The bleeding rate was 0.452%, the stone rate was 99.018%, the consistency was 110.421 cm, the fluidity was 168.812 cm, the 3-day USC was 2.170 MPa, the 7-day USC was 4.242 MPa, the 28-day USC was 5.358 MPa, and the 1-day permeability coefficient was 3.773E. -7 cm / s, 3d permeability coefficient is 6.520E -8 cm / s, 7d permeability coefficient is 4.034E -8 cm / s.

[0149] This invention can also configure multi-objective functional slurry proportions based on comprehensive performance. In this invention, the default engineering parameters are: density not required; 2-hour bleeding rate ≤3%; 24-hour stone formation rate ≤5%; consistency range 12cm~16cm; fluidity range 20cm~28cm; 28-day UCS ≥0.8MPa; and permeability coefficient not required. Examples include: the optimal cost-effectiveness group (i.e., minimizing solid waste cementitious materials while meeting engineering parameters); the group with the strongest mechanical properties (i.e., maximizing compressive strength while meeting engineering parameters); the optimal pumpability group (i.e., achieving fluidity and consistency close to the upper limit of engineering parameters while meeting engineering parameters); the optimal stability group (i.e., minimizing bleeding and stone formation rates while meeting engineering parameters); and the optimal permeability group (i.e., minimizing permeability coefficient while meeting engineering parameters).

[0150] Example - Optimal Cost-Effectiveness Group: For the specific ratios and performance of the optimal response surface ratio of the optimal cost-performance group, please refer to [link / reference]. Figure 35 ,from Figure 35It can be seen that when the glue-to-aggregate ratio is 0.15, the electric-to-ore ratio is 0.2, the coal-to-ore ratio is 0.1, and the fluidity adjustment coefficient is 0.975, the density of the slurry is 1440.55 kg / m³. 3 The bleeding rate was 1.356%, the stone rate was 98.375%, the consistency was 120 cm, the fluidity was 203.366 cm, the 3-day USC was 0.128 MPa, the 7-day USC was 0.355 MPa, the 28-day USC was 0.854 MPa, and the 1-day permeability coefficient was 8.988E. -6 cm / s, 3d permeability coefficient is 7.994E -6 cm / s, 7d permeability coefficient is 1.415E -6 cm / s.

[0151] Example - Group with the strongest mechanical properties: For the specific proportions and performance of the optimal sizing ratio for the group with the strongest mechanical properties, see [link to relevant documentation]. Figure 36 ,from Figure 36 It can be seen that when the glue-to-aggregate ratio is 0.554, the electric-to-ore ratio is 0.336, the coal-to-ore ratio is 0.109, and the fluidity adjustment coefficient is 0.975, the slurry density is 1491.6 kg / m³. 3 The bleeding rate was 0.683%, the stone rate was 98.869%, the consistency was 127.254 cm, the fluidity was 237.014 cm, the 3-day USC was 2.628 MPa, the 7-day USC was 4.958 MPa, the 28-day USC was 8.859 MPa, and the 1-day permeability coefficient was 4.863E. -7 cm / s, 3d permeability coefficient is 6.968E -8 cm / s, 7d permeability coefficient is 4.235E -8 cm / s.

[0152] Example - Optimal Pumpability Group: For the specific proportions and performance of the optimal proportions of the response surface of the optimal pumpability group, see [link to relevant documentation]. Figure 37 ,from Figure 37 It can be seen that when the glue-to-aggregate ratio is 0.6, the electric-to-ore ratio is 0.561, the coal-to-ore ratio is 0.100, and the fluidity adjustment coefficient is 1.05, the density of the slurry is 1495.47 kg / m³. 3 The bleeding rate was 0.015%, the stone rate was 98.116%, the consistency was 160.01 cm, the fluidity was 280.002 cm, the 3-day USC was 0.839 MPa, the 7-day USC was 2.346 MPa, the 28-day USC was 4.627 MPa, and the 1-day permeability coefficient was 2.698E. -5 cm / s, 3d permeability coefficient is 1.217E -6 cm / s, 7d permeability coefficient is 3.589E-7 cm / s.

[0153] Example - Stability Optimal Group: For the specific ratios and performance of the optimal ratios for the response surface of the stability-optimal group, see [link to relevant documentation]. Figure 38 ,from Figure 38 It can be seen that when the binder-to-aggregate ratio is 0.561, the electric-to-ore ratio is 0.203, the coal-to-ore ratio is 0.297, and the fluidity adjustment coefficient is 1.026, the slurry density is 1496.78 kg / m³. 3 The bleeding rate was 0.043%, the stone rate was 99.480%, the consistency was 147.049 cm, the fluidity was 236.904 cm, the 3-day USC was 1.243 MPa, the 7-day USC was 2.473 MPa, the 28-day USC was 6.609 MPa, and the 1-day permeability coefficient was 4.334E. -6 cm / s, 3d permeability coefficient is 7.668E -7 cm / s, 7d permeability coefficient is 3.464E -7 cm / s.

[0154] Example - Optimal Permeability Group: For the specific ratios and performance of the optimal ratios for the response surface of the optimal permeability coefficient group, see [link to relevant documentation]. Figure 39 ,from Figure 39 It can be seen that when the glue-to-aggregate ratio is 0.522, the electric-to-ore ratio is 0.375, the coal-to-ore ratio is 0.273, and the fluidity adjustment coefficient is 0.987, the density of the slurry is 1491.18 kg / m³. 3 The bleeding rate was 1.348%, the stone rate was 98.275%, the consistency was 140.083 cm, the fluidity was 203.141 cm, the 3-day USC was 1.426 MPa, the 7-day USC was 3.731 MPa, the 28-day USC was 5.618 MPa, and the 1-day permeability coefficient was 2.065E. -7 cm / s, 3d permeability coefficient is 1.099E -7 cm / s, 7d permeability coefficient is 4.454E -8 cm / s.

[0155] Other embodiments of this application will readily occur to those skilled in the art upon consideration of the specification and practice of the disclosure herein. This application is intended to cover any variations, uses, or adaptations of this application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein. The specification and embodiments are to be considered exemplary only.

[0156] It should be understood that this application is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope.

Claims

1. A self-excited solid waste slurry, characterized in that, Composed of waste soil, solid waste cementitious materials, and water, the components are expressed as follows by weight percentage or parts by weight: 100 portions of waste soil; 15-60 parts of solid waste cementitious material, wherein the solid waste cementitious material is composed of a silicon-aluminum rich precursor, a strongly alkaline activation source, and a rheology-modifying supplementary source, and the mass ratio of the silicon-aluminum rich precursor, the strongly alkaline activation source, and the rheology-modifying supplementary source is 1:(0.2-0.8):(0.1-0.4). Water should be added in total to maintain the initial consistency of the slurry at 90-170 mm and the fluidity at 142.280-290.545 mm.

2. The self-excited solid waste slurry according to claim 1, characterized in that, The waste slag includes at least one or more of montmorillonite, illite, and kaolinite.

3. The self-excited solid waste slurry according to claim 1, characterized in that, The waste soil is selected from one or more of the following: tunnel shield excavation soil and deep foundation pit excavation soil.

4. The self-excited solid waste slurry according to claim 1, characterized in that, The silicon-rich aluminum precursor is selected from slag powder, lithium slag, metakaolin, rice husk ash, red mud, fly ash, glass powder, steel slag powder, coal gangue powder, and carbide slag.

5. The self-excited solid waste slurry according to claim 1, characterized in that, The strongly alkaline activating source is selected from carbide slag, high-calcium steel slag powder, and desulfurized gypsum.

6. The self-excited solid waste slurry according to claim 1, characterized in that, The rheological adjustment supplement source is selected from fly ash, waste stone powder, and steel slag powder.

7. The self-excited solid waste slurry according to claim 1, characterized in that, The silicon-aluminum rich precursor is slag powder; the strongly alkaline activation source is carbide slag; and the rheology adjustment supplement source is fly ash.

8. The self-excited solid waste slurry according to claim 7, characterized in that, The slag powder has a glass phase content of ≥80% and a specific surface area of ​​350m². 2 / kg, with an activity index not lower than S75 grade; The fly ash is selected from either type F or type C fly ash; The fly ash is of grade I and contains a hollow glass microsphere structure.

9. A method for preparing a self-excited solid waste slurry according to any one of claims 1-8, characterized in that, Includes the following steps: Step S1: Mix water, silicon-rich aluminum precursor, strong alkaline excitation source and rheology adjustment supplement source and shear stir to obtain a uniformly stirred all-solid waste mixed slurry; Step S2: Add the waste slag to the all-solid waste mixed slurry and continuously shear and stir until there is no obvious floating slurry on the surface of the slurry and no particle agglomeration inside, to obtain the all-solid waste self-excited slag slurry.

10. The method for preparing self-excited solid waste slurry according to claim 9, characterized in that, When the cement-to-aggregate ratio is between 0.45 and 0.6, the CASH gel forms a continuous and dense skeletal network; the upper limit of the cement-to-aggregate ratio should not exceed 0.7, whereby the cement-to-aggregate ratio is the mass ratio of the solid waste cementitious material to the waste slag. For slag containing foaming agents and flocculants, by adjusting the coal-to-mineral ratio to the range of 0.2 to 0.4, the high specific surface area of ​​fly ash is used to adsorb residual organic components, and the physical properties of its hollow microspheres are used to improve the flow retention capacity of the slurry within 2 hours. The coal-to-mineral ratio is the mass ratio of the rheological adjustment supplement source to the silicon-aluminum rich precursor.

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