Performance testing method and system for industrial solid waste green cementing material solidified loess foundation

Abstract

The invention provides a performance testing method and system for a loess foundation solidified by an industrial solid waste green cementing material, and relates to the technical field of foundation performance testing. The method comprises the steps that sampling points are evenly distributed on a solidified loess foundation, and solidified soil samples are collected in a layered mode according to the depth; detecting the solidified soil sample through an X-ray fluorescence spectrophotometer to obtain the content of solid waste components; the uniformity score of the solidified loess foundation is determined; obtaining the wet density and the moisture content of the solidified soil sample; the compactness score of the solidified loess foundation is determined; obtaining the mixing amount of a cementing material and the number of maintenance days of the solidified loess foundation; inputting the mixing amount of the cementing material and the number of maintenance days into a trained compressive strength prediction model to obtain predicted compressive strength of the solidified loess foundation; determining a compressive strength score of the solidified loess foundation; and determining the performance score of the solidified loess foundation. According to the invention, the performance of the solidified loess foundation can be comprehensively tested according to the uniformity, compactness and compressive strength of the solidified loess foundation.

Description

Technical Field

[0001] The present invention relates to the technical field of foundation performance testing, and particularly to a method and system for testing the performance of industrial solid waste green cementitious material solidified loess foundation. Background Art

[0002] In the related art, CN119434232A discloses a red mud - construction waste low - strength composite foundation reinforcement pile applicable to acidic soil and a construction method thereof. Using red mud and recycled fine powder as cementitious materials, recycled aggregate as filling aggregate, adding an alkali activator to stimulate the latent cementitious activity of red mud and recycled fine powder and monitoring the pH value change, and forming a composite foundation reinforcement pile by cooperating with an appropriate amount of cement; prepared through mix - proportion test, pile construction, pouring pile body materials, natural curing and detection processes. When pouring the pile body materials, the pH value sensor is used to monitor the acidity and alkalinity in real - time and regulate the dosage of the alkali activator to maintain alkalinity. This solution combines construction waste with industrial solid waste red mud, prepares a low - strength composite foundation reinforcement pile through alkali activation means, and uses the alkalinity of red mud and the alkali activator to resist the corrosion of the pile body by acidic soil. The performance meets the national standard requirements. While recycling construction waste, it stimulates the latent cementitious activity of red mud, helps to save the consumption of natural resources in the construction industry, and reduces pollutant emissions.

[0003] CN116446371A discloses a construction method for soft soil foundation treatment using solid waste - cemented recycled coarse aggregate. In this method, a new type of salt mud - activated fly ash cementing liquid is injected through a porous grouting pipe at the upper part of the pile body. The cementing liquid uses industrial solid waste salt mud as the main alkaline activator, supplemented by desulfurized gypsum, to stimulate the active SiO2 in fly ash to generate hydrated calcium silicate with cementing ability, realizing the activation of solid waste by solid waste, and avoiding problems such as high energy consumption, high emissions and environmental pollution caused by using traditional cementitious materials. Using a porous grouting pipe for grouting ensures sufficient contact between the cementing liquid and the recycled coarse aggregate during grouting, thus ensuring the reinforcement effect and saving resources. The porous structures of mortar blocks, red brick blocks and broken porcelain in the recycled coarse aggregate can better adsorb the cementing liquid, forming a cemented layer in the reinforcement area at the top of the recycled aggregate pile, restricting the lateral bulging deformation near the pile top, thereby improving the bearing capacity of the pile body and reducing the pile top settlement, with remarkable effects, safety and environmental protection.

[0004] Therefore, in the related art, although foundation reinforcement construction can be carried out, the related art does not consider the influence of the uniformity, density and compressive strength of the solidified loess foundation on the performance of the solidified loess foundation. That is, it is impossible to comprehensively test the performance of the solidified loess foundation according to the uniformity, density and compressive strength of the solidified loess foundation.

[0005] The information disclosed in the background section of this application is only intended to deepen the understanding of the general background of this application, and should not be regarded as an admission or any form of suggestion that this information constitutes prior art known to those skilled in the art. Summary of the Invention

[0006] The present invention provides a method and system for testing the performance of industrial solid waste green cementitious material-solidified loess foundation, which can solve the technical problem that the related art cannot comprehensively test the performance of the solidified loess foundation according to the uniformity, density and compressive strength of the solidified loess foundation.

[0007] According to the first aspect of the present invention, there is provided a method for testing the performance of industrial solid waste green cementitious material-solidified loess foundation, including: evenly distributing sampling points on the solidified loess foundation and collecting solidified soil samples by depth stratification; detecting the solidified soil samples by an X-ray fluorescence spectrometer to obtain the content of solid waste components; determining the uniformity score of the solidified loess foundation according to the content of the solid waste components; obtaining the wet density and water content of the solidified soil samples; determining the density score of the solidified loess foundation according to the wet density and the water content; obtaining the cementitious material dosage and curing days of the solidified loess foundation; inputting the cementitious material dosage and the curing days into a trained compressive strength prediction model to obtain the predicted compressive strength of the solidified loess foundation; determining the compressive strength score of the solidified loess foundation according to the predicted compressive strength and a preset compressive strength; and weighted summing the uniformity score of the solidified loess foundation, the density score of the solidified loess foundation and the compressive strength score of the solidified loess foundation to determine the performance score of the solidified loess foundation.

[0008] Further, determining the uniformity score of the solidified loess foundation according to the content of the solid waste components includes: determining the sampling position information of each solidified soil sample in the solidified loess foundation, where the sampling position information includes the coordinates of the solidified soil sample in the length direction of the solidified loess foundation, the coordinates of the solidified soil sample in the width direction of the solidified loess foundation, and the coordinates of the solidified soil sample in the depth direction of the solidified loess foundation; determining the solid waste component vectors of multiple sampling position information according to the content of the solid waste components; and determining the uniformity score of the solidified loess foundation according to the solid waste component vectors.

[0009] Further, determining the uniformity score of the solidified loess foundation according to the solid waste component vectors includes: according to the formula , determining the uniformity score of the solidified loess foundation, where A is the uniformity score of the solidified loess foundation, is the solid waste component vector of the mth sampling position information in the length direction, the nth sampling position information in the width direction, and the sth sampling position information in the depth direction of the solidified loess foundation, It is the solid waste component vector of the (m + 1)-th sampling position in the length direction, the n-th sampling position in the width direction, and the s-th sampling position in the length direction of the solidified loess foundation. is the transposed vector of It is the solid waste component vector of the m-th sampling position in the length direction, the (n + 1)-th sampling position in the width direction, and the s-th sampling position in the depth direction of the solidified loess foundation. is the transposed vector of It is the solid waste component vector of the m-th sampling position in the length direction, the n-th sampling position in the width direction, and the (s + 1)-th sampling position in the depth direction of the solidified loess foundation. is the transposed vector. M is the number of sampling position information in the length direction of the solidified loess foundation, N is the number of sampling position information in the width direction of the solidified loess foundation, S is the number of sampling position information in the depth direction of the solidified loess foundation, m ≤ M, n ≤ N, s ≤ S, and m, n, s, M, N, and S are all positive integers.

[0010] Furthermore, according to the wet density and the water content, determine the compactness score of the solidified loess foundation, including: averaging the wet densities of multiple solidified soil samples to obtain the average wet density; averaging the water contents of multiple solidified soil samples to obtain the average water content; determining the solidified dry density according to the average wet density and the average water content; determining the solidified effective score according to the solidified dry density; obtaining the specific gravity of soil particles of the loess; determining the solidified filling score according to the solidified dry density and the specific gravity of soil particles; and weighted summing the solidified effective score and the solidified filling score to determine the compactness score of the solidified loess foundation.

[0011] Furthermore, according to the solidified dry density, determine the solidified effective score, including: obtaining the average wet density of the un-solidified loess and the average water content of the un-solidified loess; obtaining the un-solidified dry density according to the average wet density of the un-solidified loess and the average water content of the un-solidified loess; and determining the solidified effective score according to the un-solidified dry density and the solidified dry density.

[0012] Furthermore, according to the solidified dry density and the specific gravity of soil particles, determine the solidified filling score, including: determining the void ratio according to the ratio of the product of the specific gravity of soil particles and the density of water to the solidified dry density minus 1; obtaining the maximum solidified dry density according to the compaction test; determining the degree of compaction according to the ratio between the solidified dry density and the maximum solidified dry density; if the void ratio is less than the preset void ratio and the degree of compaction is greater than or equal to the preset degree of compaction, determine that the solidified filling score is 1; if the void ratio is greater than or equal to the preset void ratio, or the degree of compaction is less than the preset degree of compaction, determine that the solidified filling score is 0.

[0013] Furthermore, the training steps of the compressive strength prediction model include: obtaining the sample cementitious material dosages and sample curing days of multiple sample solidified loess foundations; measuring the sample solidified loess foundations by a compression testing machine to obtain the sample compressive strengths of multiple sample solidified loess foundations; processing the sample cementitious material dosages and the sample curing days through the compressive strength prediction model to obtain the sample predicted compressive strengths of multiple sample solidified loess foundations; determining the loss function of the compressive strength prediction model according to the sample cementitious material dosages, the sample curing days, the sample compressive strengths, and the sample predicted compressive strengths; and training the compressive strength prediction model according to the loss function of the compressive strength prediction model to obtain the trained compressive strength prediction model.

[0014] Furthermore, determining the loss function of the compressive strength prediction model according to the sample cementitious material dosages, the sample curing days, the sample compressive strengths, and the sample predicted compressive strengths includes: determining the loss function of the compressive strength prediction model according to the formula , where is the loss function of the compressive strength prediction model, is the cementitious material dosage of the solidified loess foundation, is the sample cementitious material dosage of the e-th sample solidified loess foundation, is the curing days of the solidified loess foundation, is the sample curing days of the e-th sample solidified loess foundation, is the sample compressive strength of the e-th sample solidified loess foundation, is the sample predicted compressive strength of the e-th sample solidified loess foundation, E is the number of sample solidified loess foundations, e ≤ E, and both e and E are positive integers.

[0015] Furthermore, determining the compressive strength score of the solidified loess foundation according to the predicted compressive strength and the preset compressive strength includes: if the predicted compressive strength is greater than or equal to the preset compressive strength, determining that the compressive strength score of the solidified loess foundation is 1; if 1 minus the predicted compressive strength is less than the preset compressive strength, then determining the compressive strength score of the solidified loess foundation according to the result of the relative difference between the predicted compressive strength and the preset compressive strength.

[0016] According to a second aspect of the present invention, there is provided a performance test system for solidifying loess foundation with industrial solid waste green cementitious material, including: a solidified soil sample module for evenly distributing sampling points on the solidified loess foundation and collecting solidified soil samples by depth stratification; a solid waste component content module for detecting the solidified soil samples by an X-ray fluorescence spectrometer to obtain the solid waste component content; a solidified loess foundation uniformity scoring module for determining the solidified loess foundation uniformity score according to the solid waste component content; a wet density and moisture content module for obtaining the wet density and moisture content of the solidified soil samples; a solidified loess foundation compactness scoring module for determining the solidified loess foundation compactness score according to the wet density and the moisture content; a cementitious material dosage and curing days module for obtaining the cementitious material dosage and curing days of the solidified loess foundation; a predicted compressive strength module for inputting the cementitious material dosage and the curing days into a trained compressive strength prediction model to obtain the predicted compressive strength of the solidified loess foundation; a solidified loess foundation compressive strength scoring module for determining the solidified loess foundation compressive strength score according to the predicted compressive strength and a preset compressive strength; a solidified loess foundation performance scoring module for weighted summing the solidified loess foundation uniformity score, the solidified loess foundation compactness score and the solidified loess foundation compressive strength score to determine the solidified loess foundation performance score.

[0017] Technical effects: According to the present invention, by evenly distributing sampling points and collecting solidified soil samples in layers, the accuracy and reliability of the evaluation results are improved. By establishing a compressive strength prediction model to predict the compressive strength of the solidified loess foundation, it helps to estimate the solidification effect. Furthermore, based on the uniformity, density, and compressive strength of the solidified loess foundation, the performance of the solidified loess foundation can be comprehensively tested. Through the performance scoring of the solidified loess foundation, the performance status of the solidified loess foundation can be more comprehensively understood. When determining the uniformity score of the solidified loess foundation, the similarity of the solid waste component vectors at adjacent sampling positions in three directions of the solidified loess foundation can be compared to determine the uniformity score of the solidified loess foundation. Evaluating the uniformity of the solidified loess foundation in terms of the distribution of solid waste components from the three directions of length, width, and depth can effectively reflect the overall quality and stability of the solidified loess foundation and improve the comprehensiveness and reliability of the uniformity score of the solidified loess foundation. When determining the density score of the solidified loess foundation, the solidification effect of the solidified loess foundation can be evaluated based on the change in the dry density of the loess before and after solidification, and the filling effect of the solidified loess foundation can be judged based on the porosity ratio and degree of compaction. Evaluating the density of the solidified loess foundation from the two aspects of the solidification effect and filling effect of the solidified loess foundation improves the comprehensiveness, reliability, and accuracy of the density score of the solidified loess foundation. When determining the loss function of the compressive strength prediction model, the influence of the sample cementitious material dosage and sample curing days on the compressive strength can be used to determine the influence of the above data on the error of the sample predicted compressive strength. Then, based on this influence and the relative error between the sample compressive strength and the sample predicted compressive strength, and based on the condition of the cementitious material dosage and curing days of the solidified loess foundation, the more similar the condition of the sample cementitious material dosage and sample curing days of the sample solidified loess foundation, the greater the reference value. Weights are set, and then the errors output by the compressive strength prediction models of multiple sample solidified loess foundations are weighted and summed to obtain the loss function, so as to improve the design accuracy and objectivity of the loss function, thereby improving the training efficiency during the training process and the accuracy of the compressive strength prediction model.

[0018] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and do not limit the present invention. According to the following detailed description of the exemplary embodiments with reference to the accompanying drawings, other features and aspects of the present invention will be clearer. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or in the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other embodiments can be obtained based on these drawings; Figure 1Schematic flow chart showing the performance test method for solidifying loess foundation with industrial solid waste green cementitious material according to an embodiment of the present invention; Figure 2 Schematic flow chart showing the calculation of the uniformity score of the solidified loess foundation according to an embodiment of the present invention; Figure 3 Schematic flow chart showing the calculation of the density score of the solidified loess foundation according to an embodiment of the present invention; Figure 4 Schematic flow chart showing the training steps of the compressive strength prediction model according to an embodiment of the present invention; Figure 5 Schematic flow chart showing the calculation of the compressive strength score of the solidified loess foundation according to an embodiment of the present invention; Figure 6 Block diagram showing the performance test system for solidifying loess foundation with industrial solid waste green cementitious material according to an embodiment of the present invention. Detailed implementation manners

[0020] To make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part rather than all of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0021] The technical solutions of the present invention will be described in detail below with specific embodiments. These specific embodiments may be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments.

[0022] Figure 1A schematic flow chart of a method for testing the performance of a loess foundation solidified by an industrial solid waste green cementitious material according to an embodiment of the present invention is exemplarily shown. The method includes: Step S1, uniformly distributing sampling points on the solidified loess foundation and collecting solidified soil samples by depth stratification; Step S2, detecting the solidified soil samples by an X-ray fluorescence spectrometer to obtain the content of solid waste components; Step S3, determining the uniformity score of the solidified loess foundation according to the content of the solid waste components; Step S4, obtaining the wet density and water content of the solidified soil samples; Step S5, determining the density score of the solidified loess foundation according to the wet density and the water content; Step S6, obtaining the cementitious material dosage and curing days of the solidified loess foundation; Step S7, inputting the cementitious material dosage and the curing days into a trained compressive strength prediction model to obtain the predicted compressive strength of the solidified loess foundation; Step S8, determining the compressive strength score of the solidified loess foundation according to the predicted compressive strength and a preset compressive strength; Step S9, performing a weighted sum of the uniformity score of the solidified loess foundation, the density score of the solidified loess foundation, and the compressive strength score of the solidified loess foundation to determine the performance score of the solidified loess foundation.

[0023] For the method for testing the performance of a loess foundation solidified by an industrial solid waste green cementitious material according to an embodiment of the present invention, by uniformly distributing sampling points and collecting solidified soil samples by stratification, the accuracy and reliability of the evaluation results are improved. By establishing a compressive strength prediction model to predict the compressive strength of the solidified loess foundation, it is helpful to estimate the solidification effect. Furthermore, according to the uniformity, density, and compressive strength of the solidified loess foundation, the performance of the solidified loess foundation can be comprehensively tested. Through the performance score of the solidified loess foundation, the performance status of the solidified loess foundation can be more comprehensively understood.

[0024] According to an embodiment of the present invention, in Step S1, a solidified loess foundation with a volume size of 1m×1m×1m can be set for sampling. The solidified loess foundation is the same as the foundation used for the performance test in terms of materials, preparation methods, production time, and production procedures. Therefore, the performance test of the entire foundation can be replaced by this solidified loess foundation. Sampling points are set on the solidified loess foundation, and the sampling points are uniformly distributed on the surface of the solidified loess foundation. For example, solidified soil samples are collected at 0.2m, 0.4m, 0.6m, and 0.8m in the length direction and 0.2m, 0.4m, 0.6m, and 0.8m in the width direction, respectively. On this basis, sampling is carried out by depth stratification. For example, solidified soil samples are collected from 0.3m, 0.6m, and 0.9m in depth according to the positions of the sampling points on the surface of the solidified loess foundation.

[0025] According to one embodiment of the present invention, in step S2, an X-ray fluorescence spectrometer professional detection equipment is used to irradiate and analyze the solidified soil sample. Under the excitation of X-rays, the elements in the solidified soil sample will emit specific fluorescence signals, which can accurately determine the content of various solid waste components in the solidified soil sample, for example, the content of industrial solid waste components such as slag content, fly ash content, and desulfurization gypsum content.

[0026] According to one embodiment of the present invention, in step S3, the uniformity score of the solidified loess foundation is determined according to the content of the solid waste components.

[0027] Figure 2 A flow chart for calculating the uniformity score of a solidified loess foundation according to an embodiment of the present invention is exemplarily shown.

[0028] According to one embodiment of the present invention, step S3 includes: step S31, determining the sampling position information of each solidified soil sample in the solidified loess foundation, wherein the sampling position information includes the coordinates of the solidified soil sample in the length direction of the solidified loess foundation, the coordinates of the solidified soil sample in the width direction of the solidified loess foundation, and the coordinates of the solidified soil sample in the depth direction of the solidified loess foundation; step S32, determining the solid waste component vectors of multiple sampling position information according to the solid waste component content; step S33, determining the uniformity score of the solidified loess foundation according to the solid waste component vector.

[0029] According to one embodiment of the present invention, in step S31, the sampling position information includes the coordinates in the length direction within the solidified loess foundation, that is, the lateral position within the solidified loess foundation, the coordinates in the width direction, that is, the longitudinal position within the solidified loess foundation, and the coordinates in the depth direction, that is, the vertical position within the solidified loess foundation. Through the sampling position information, the spatial position of each solidified soil sample in the solidified loess foundation can be accurately located.

[0030] According to one embodiment of the present invention, in step S32, different solid waste component contents are different elements, and the contents of multiple solid waste components can constitute a solid waste component vector. For example, elements such as slag content, fly ash content, and desulfurization gypsum content can constitute a solid waste component vector. If the difference in the solid waste component content at different positions of the solidified loess foundation is too large, it will cause the foundation structure to be unstable.

[0031] According to one embodiment of the present invention, in step S33, the uniformity score of the solidified loess foundation is determined by comparing the solid waste component vectors of adjacent sampling positions.

[0032] According to an embodiment of the present invention, determining the uniformity score of the solidified loess foundation according to the solid waste component vector includes: determining the uniformity score of the solidified loess foundation according to formula (1), (1), where A is the uniformity score of the solidified loess foundation, is the solid waste component vector of the sampling position information at the m-th position in the length direction, the n-th position in the width direction, and the s-th position in the depth direction of the solidified loess foundation, is the solid waste component vector of the sampling position information at the (m + 1)-th position in the length direction, the n-th position in the width direction, and the s-th position in the depth direction of the solidified loess foundation, is the transposed vector of, is the solid waste component vector of the sampling position information at the m-th position in the length direction, the (n + 1)-th position in the width direction, and the s-th position in the depth direction of the solidified loess foundation, is the transposed vector of, is the solid waste component vector of the sampling position information at the m-th position in the length direction, the n-th position in the width direction, and the (s + 1)-th position in the depth direction of the solidified loess foundation, is the transposed vector of, M is the number of sampling position information in the length direction of the solidified loess foundation, N is the number of sampling position information in the width direction of the solidified loess foundation, S is the number of sampling position information in the depth direction of the solidified loess foundation, m ≤ M, n ≤ N, s ≤ S, and m, n, s, M, N, and S are all positive integers.

[0033] According to an embodiment of the present invention, in formula (1), is the similarity between the solid waste component vector of the sampling position information at the (m + 1)-th position in the length direction, the n-th position in the width direction, and the s-th position in the depth direction of the solidified loess foundation, and the solid waste component vector of the sampling position information at the m-th position in the length direction, the n-th position in the width direction, and the s-th position in the depth direction of the solidified loess foundation, is the average value of the similarities between the solid waste component vectors of multiple adjacent sampling position information in the length direction of the solidified loess foundation, that is, the average value of the similarities in the length direction. The larger the average value of the similarities in the length direction, the more uniform the distribution of the solid waste component content in the length direction of the solidified loess foundation. is the similarity between the solid waste component vector of the sampling position information at the m-th position in the length direction, the (n + 1)-th position in the width direction, and the s-th position in the depth direction of the solidified loess foundation, and the solid waste component vector of the sampling position information at the m-th position in the length direction, the n-th position in the width direction, and the s-th position in the depth direction of the solidified loess foundation, is the average value of the similarities between the solid waste component vectors of multiple adjacent sampling position information in the width direction of the solidified loess foundation, that is, the average value of the similarities in the width direction. The larger the average value of the similarities in the width direction, the more uniform the distribution of the solid waste component content in the width direction of the solidified loess foundation. The similarity between the solid waste component vector of the (m)-th sampling position in the length direction, the (n)-th sampling position in the width direction, and the (s + 1)-th sampling position in the depth direction of the solidified loess foundation, and the solid waste component vector of the (m)-th sampling position in the length direction, the (n)-th sampling position in the width direction, and the (s)-th sampling position in the depth direction of the solidified loess foundation. It is the average value of the similarities between the solid waste component vectors of multiple adjacent sampling position information in the depth direction of the solidified loess foundation, that is, the average value of the similarities in the depth direction. The larger the average value of the similarities in the depth direction, the more uniform the distribution of the solid waste component content in the depth direction of the solidified loess foundation. Summing the average value of the similarities in the length direction, the average value of the similarities in the width direction, and the average value of the similarities in the depth direction, the uniformity score of the solidified loess foundation can be obtained. The larger the uniformity score of the solidified loess foundation, the more uniform the distribution of the solid waste component content in the solidified loess foundation, and the more stable the structure of the solidified loess foundation.

[0034] In this way, based on comparing the similarities of the solid waste component vectors of adjacent sampling positions in three directions of the solidified loess foundation, the uniformity score of the solidified loess foundation can be determined, and the uniformity of the solid waste component distribution in the solidified loess foundation can be evaluated from the three directions of length, width, and depth, which can effectively reflect the overall quality and stability of the solidified loess foundation and improve the comprehensiveness and reliability of the uniformity score of the solidified loess foundation.

[0035] According to an embodiment of the present invention, in step S4, the wet density and water content of the solidified soil sample are measured by using a nuclear densitometer. The wet density is the unit volume mass of the solidified soil sample in a state containing a certain amount of water, and the water content is the percentage of the mass of water in the solidified soil sample in the total mass of the soil sample.

[0036] According to an embodiment of the present invention, in step S5, the compactness score of the solidified loess foundation is determined according to the wet density and the water content.

[0037] Figure 3 Exemplarily shows a flowchart for calculating the compactness score of the solidified loess foundation according to an embodiment of the present invention.

[0038] According to an embodiment of the present invention, step S5 includes: step S51, averaging the wet densities of a plurality of solidified soil samples to obtain an average wet density; step S52, averaging the water contents of the plurality of solidified soil samples to obtain an average water content; step S53, determining a solidified dry density according to the average wet density and the average water content; step S54, determining a solidified effective score according to the solidified dry density; step S55, obtaining the specific gravity of soil particles of the loess; step S56, determining a solidified filling score according to the solidified dry density and the specific gravity of soil particles; step S57, performing a weighted sum of the solidified effective score and the solidified filling score to determine a solidified loess foundation compactness score.

[0039] According to an embodiment of the present invention, an arithmetic mean of the wet densities of a plurality of solidified soil samples is taken to obtain an average wet density, and an arithmetic mean of the water contents of the plurality of solidified soil samples is taken to obtain an average water content. Through the formula calculate the solidified dry density, where is the solidified dry density, is the average wet density of the solidified soil sample, is the average water content of the solidified soil sample. The higher the solidified dry density, the better the solidification effect of the solidified loess foundation. Determine the solidified effective score according to the solidified dry density. The specific gravity of soil particles refers to the ratio of the weight of soil particles when dried to a constant weight at a temperature of 105 °C to 110 °C to the weight of water at 4 °C of the same volume, which reflects the compactness of soil particles. Obtain the specific gravity of soil particles of the loess used for the solidified loess foundation. For example, the specific gravity of loess is generally between 2.51 and 2.84. Determine the solidified filling score according to the solidified dry density and the specific gravity of soil particles. Perform a weighted sum of the solidified effective score and the solidified filling score to determine the solidified loess foundation compactness score. For example, assign a weight value of 0.4 to the solidified effective score and a weight value of 0.6 to the solidified filling score. The higher the solidified loess foundation compactness score, the better the solidification effect and filling effect of the solidified loess foundation, and the higher the compactness of the solidified loess foundation, thereby making the internal structure of the solidified loess foundation more durable.

[0040] According to an embodiment of the present invention, step S54 includes: step S541, obtaining the average wet density of the un-solidified loess and the average water content of the un-solidified loess; step S542, obtaining the un-solidified dry density according to the average wet density of the un-solidified loess and the average water content of the un-solidified loess; step S543, determining the solidified effective score according to the un-solidified dry density and the solidified dry density.

[0041] According to an embodiment of the present invention, before the loess foundation is solidified, for example, at the moment when the loess foundation maintenance just starts, a nuclear density gauge is used to measure the wet density and water content at multiple random positions, and the arithmetic mean of the wet densities at multiple random positions is taken to obtain the average wet density of the unsolidified loess, and the arithmetic mean of the water contents at multiple random positions is taken to obtain the average water content of the unsolidified loess. Through the formula Calculate the unsolidified dry density, where is the unsolidified dry density, is the average wet density of the unsolidified soil sample, is the average water content of the unsolidified soil sample. Through the formula Calculate the solidification effective score, where C is the solidification effective score, is the solidified dry density. The higher the solidification effective score, the better the solidification effect of the solidified loess foundation.

[0042] According to an embodiment of the present invention, step S56 includes: step S561, determining the void ratio according to the result of subtracting 1 from the ratio of the product of the specific gravity of soil particles and the density of water to the solidified dry density; step S562, obtaining the maximum solidified dry density according to the compaction test; step S563, determining the degree of compaction according to the ratio between the solidified dry density and the maximum solidified dry density; step S564, if the void ratio is less than the preset void ratio and the degree of compaction is greater than or equal to the preset degree of compaction, determining that the solidification filling score is 1; step S565, if the void ratio is greater than or equal to the preset void ratio, or the degree of compaction is less than the preset degree of compaction, determining that the solidification filling score is 0.

[0043] According to an embodiment of the present invention, the density of water is 1 g / cm 3 , for example, the specific gravity of soil particles is 2.72, and the solidified dry density is 1.8 g / cm 3 , the void ratio is 2.72×1 / 1.8 - 1 = 0.51. Through the compaction test, the maximum solidified dry density is obtained. For example, the maximum solidified dry density is 2.0 g / cm 3 , and the degree of compaction is 1.8 / 2.0 = 0.9. If the void ratio is less than the preset void ratio (for example, 0.5) and the degree of compaction is greater than or equal to the preset degree of compaction (for example, 0.9), it is determined that the solidification filling score is 1, indicating that the pore filling effect of the solidified loess foundation is good. If the void ratio is greater than or equal to the preset void ratio, or the degree of compaction is less than the preset degree of compaction, it is determined that the solidification filling score is 0, indicating that the pore filling effect of the solidified loess foundation is poor.

[0044] In this way, the solidification effect of the solidified loess foundation can be evaluated based on the change in the dry density of the loess before and after solidification, and the filling effect of the solidified loess foundation can be judged based on the void ratio and the degree of compaction. The density of the solidified loess foundation is evaluated from two aspects: the solidification effect and the filling effect of the solidified loess foundation, which improves the comprehensiveness, reliability, and accuracy of the density evaluation of the solidified loess foundation.

[0045] According to an embodiment of the present invention, in step S6, the cementitious material dosage is the proportion of the industrial solid waste green cementitious material (such as slag, fly ash, etc.) added during the process of solidifying the loess foundation. The curing days are the length of time for curing the solidified loess foundation, measured in days. For example, 28 days. Curing is to enable the cementitious material to react fully, so as to achieve the expected solidification effect.

[0046] According to an embodiment of the present invention, in step S7, the cementitious material dosage and the curing days are input into the trained compressive strength prediction model. The compressive strength prediction model can be a neural network model, which is trained based on a large amount of sample data through machine learning or deep learning techniques to obtain the predicted compressive strength of the solidified loess foundation.

[0047] Figure 4 Exemplarily shown is a flowchart of the training steps of the compressive strength prediction model according to an embodiment of the present invention.

[0048] According to an embodiment of the present invention, step S7 includes: step S71, obtaining the sample cementitious material dosage and the sample curing days of a plurality of sample solidified loess foundations; step S72, measuring the sample solidified loess foundations through a compression testing machine to obtain the sample compressive strengths of a plurality of sample solidified loess foundations; step S73, processing the sample cementitious material dosage and the sample curing days through the compressive strength prediction model to obtain the sample predicted compressive strengths of a plurality of sample solidified loess foundations; step S74, determining the loss function of the compressive strength prediction model according to the sample cementitious material dosage, the sample curing days, the sample compressive strength, and the sample predicted compressive strength; step S75, training the compressive strength prediction model according to the loss function of the compressive strength prediction model to obtain the trained compressive strength prediction model.

[0049] According to an embodiment of the present invention, the sample cementitious material dosages of the sample solidified loess foundations are different, and curing is carried out for different days (for example, the sample curing days are 2 to 30 days). A pressure testing machine is used to measure the sample solidified loess foundations to obtain the sample compressive strength of each sample solidified loess foundation, that is, the actual compressive strength. The cementitious material can chemically react with loess particles to form a cementitious substance, enhancing the bonding force between the particles, thereby improving the compressive strength of the foundation. Within a certain range, increasing the dosage of the cementitious material can improve the compressive strength of the foundation, and extending the curing time can promote the hydration reaction of the cementitious material, gradually increasing the compressive strength of the foundation. The compressive strength prediction model can predict the sample predicted compressive strength of multiple sample solidified loess foundations based on the relationship between the above-mentioned cementitious material dosage, curing days, and compressive strength, based on the sample cementitious material dosage and the sample curing days. The loss function is determined according to the difference between the sample compressive strength and the sample predicted compressive strength. By performing feedback adjustment on the loss function, a trained compressive strength prediction model is obtained.

[0050] According to an embodiment of the present invention, determining the loss function of the compressive strength prediction model according to the sample cementitious material dosage, the sample curing days, the sample compressive strength, and the sample predicted compressive strength includes: determining the loss function of the compressive strength prediction model according to formula (2), (2), where, is the loss function of the compressive strength prediction model, is the cementitious material dosage of the solidified loess foundation, is the sample cementitious material dosage of the e-th sample solidified loess foundation, is the curing days of the solidified loess foundation, is the sample curing days of the e-th sample solidified loess foundation, is the sample compressive strength of the e-th sample solidified loess foundation, is the sample predicted compressive strength of the e-th sample solidified loess foundation, E is the number of sample solidified loess foundations, e ≤ E, and both e and E are positive integers.

[0051] According to an embodiment of the present invention, in formula (2), is the difference between the sample compressive strength and the sample predicted compressive strength of the e-th sample solidified loess foundation, and this difference represents the error magnitude between the sample predicted compressive strength and the sample compressive strength. is the similarity between the cementitious material dosage of the solidified loess foundation and the sample cementitious material dosage of the e-th sample solidified loess foundation. is the similarity between the curing days of the solidified loess foundation and the sample curing days of the e-th sample of the solidified loess foundation. To achieve a similar compressive strength detection effect, if the cementitious material dosage and curing days of the solidified loess foundation are closer to the sample cementitious material dosage and sample curing days of the sample solidified loess foundation, that is, and the greater the value of, the more similar the situation of the cementitious material dosage and curing days of the solidified loess foundation is to the situation of the sample cementitious material dosage and sample curing days of the sample solidified loess foundation, and the greater its reference value. Therefore, its weight is higher. represents the sum of the relative errors of the predicted compressive strengths of multiple samples of the solidified loess foundation multiplied by the corresponding weights, and can represent the loss function of the compressive strength prediction model.

[0052] According to an embodiment of the present invention, during the process of training the compressive strength prediction model, by performing backpropagation on the loss function, some parameters inside the model are adjusted to reduce the value of the loss function of the compressive strength prediction model, thereby improving the accuracy of the compressive strength prediction model and obtaining the trained compressive strength prediction model.

[0053] In this way, based on the influence of the sample cementitious material dosage and sample curing days on the compressive strength, the influence of the above data on the error of the sample predicted compressive strength can be determined. Then, based on this influence and the relative error between the sample compressive strength and the sample predicted compressive strength, and based on the fact that the more similar the situation of the cementitious material dosage and curing days of the solidified loess foundation is to the situation of the sample cementitious material dosage and sample curing days of the sample solidified loess foundation, the greater the reference value, weights are set, and thus the errors output by the compressive strength prediction models of multiple samples of the solidified loess foundation are weighted and summed to obtain the loss function, so as to improve the design accuracy and objectivity of the loss function, thereby improving the training efficiency during the training process and enhancing the accuracy of the compressive strength prediction model.

[0054] According to an embodiment of the present invention, in step S8, based on the predicted compressive strength and the preset compressive strength, the compressive strength score of the solidified loess foundation is determined.

[0055] Figure 5 Exemplarily shows a flowchart for calculating the compressive strength score of the solidified loess foundation according to an embodiment of the present invention.

[0056] According to an embodiment of the present invention, step S8 includes: step S81, if the predicted compressive strength is greater than or equal to the preset compressive strength, determine that the compressive strength score of the solidified loess foundation is 1; step S82, if the predicted compressive strength is less than the preset compressive strength, then based on the result of 1 minus the relative difference between the predicted compressive strength and the preset compressive strength, determine the compressive strength score of the solidified loess foundation.

[0057] According to an embodiment of the present invention, if the predicted compressive strength is greater than or equal to a preset compressive strength (for example, 15 MPa), it is determined that the compressive strength score of the solidified loess foundation is 1, indicating that the compressive strength of the solidified loess foundation is excellent. If the predicted compressive strength is less than the preset compressive strength, the compressive strength score of the solidified loess foundation is determined according to the result of 1 minus the relative difference between the predicted compressive strength and the preset compressive strength. The greater the compressive strength score of the solidified loess foundation, the greater the compressive strength of the solidified loess foundation and the better the performance of the solidified loess foundation.

[0058] According to an embodiment of the present invention, in step S9, after determining the uniformity score, the density score, and the compressive strength score of the solidified loess foundation, the uniformity score, the density score, and the compressive strength score of the solidified loess foundation are weighted and summed to obtain the performance score of the solidified loess foundation. For example, the uniformity score of the solidified loess foundation is given a weight value of 0.3, the density score of the solidified loess foundation is given a weight value of 0.3, and the compressive strength score of the solidified loess foundation is given a weight value of 0.4. The greater the performance score of the solidified loess foundation, the better the performance of the solidified loess foundation.

[0059] Industrial solid waste green cementitious material curing loess foundation performance testing method according to an embodiment of the present invention improves the accuracy and reliability of evaluation results by evenly distributing sampling points and collecting cured soil samples in layers. By establishing a compressive strength prediction model to predict the compressive strength of the cured loess foundation, it helps to estimate the curing effect. Furthermore, the performance of the cured loess foundation can be comprehensively tested based on the uniformity, density, and compressive strength of the cured loess foundation. Through the performance scoring of the cured loess foundation, the performance status of the cured loess foundation can be more comprehensively understood. When determining the uniformity score of the cured loess foundation, the similarity of the solid waste component vectors at adjacent sampling positions in three directions of the cured loess foundation can be compared to determine the uniformity score of the cured loess foundation. Evaluating the uniformity of the cured loess foundation in terms of solid waste component distribution from the three directions of length, width, and depth can effectively reflect the overall quality and stability of the cured loess foundation, and improve the comprehensiveness and reliability of the uniformity score of the cured loess foundation. When determining the density score of the cured loess foundation, the curing effect of the cured loess foundation can be evaluated based on the change in the dry density of the loess before and after curing, and the filling effect of the cured loess foundation can be judged based on the void ratio and compaction degree. Evaluating the density of the cured loess foundation from the two aspects of the curing effect and filling effect of the cured loess foundation improves the comprehensiveness, reliability, and accuracy of the density score of the cured loess foundation. When determining the loss function of the compressive strength prediction model, the influence of the sample cementitious material dosage and sample curing days on the compressive strength can be used to determine the influence of the above data on the error of the sample predicted compressive strength. Based on this influence and the relative error between the sample compressive strength and the sample predicted compressive strength, and based on the condition of the cementitious material dosage and curing days of the cured loess foundation, the more similar the condition of the sample cementitious material dosage and sample curing days of the sample cured loess foundation, the greater the reference value. Weights are set, and the errors output by the compressive strength prediction models of multiple sample cured loess foundations are weighted and summed to obtain the loss function, so as to improve the design accuracy and objectivity of the loss function, thereby improving the training efficiency during the training process and the accuracy of the compressive strength prediction model.

[0060] Figure 6The block diagram of the performance test system for solidifying loess foundation with industrial solid waste green cementitious material according to an embodiment of the present invention is exemplarily shown. The system includes: a solidified soil sample module, configured to evenly distribute sampling points on the solidified loess foundation and collect solidified soil samples by depth stratification; a solid waste component content module, configured to detect the solidified soil samples by an X-ray fluorescence spectrometer to obtain the solid waste component content; a solidified loess foundation uniformity scoring module, configured to determine the solidified loess foundation uniformity score according to the solid waste component content; a wet density and moisture content module, configured to obtain the wet density and moisture content of the solidified soil samples; a solidified loess foundation compactness scoring module, configured to determine the solidified loess foundation compactness score according to the wet density and the moisture content; a cementitious material dosage and curing days module, configured to obtain the cementitious material dosage and curing days of the solidified loess foundation; a predicted compressive strength module, configured to input the cementitious material dosage and the curing days into a trained compressive strength prediction model to obtain the predicted compressive strength of the solidified loess foundation; a solidified loess foundation compressive strength scoring module, configured to determine the solidified loess foundation compressive strength score according to the predicted compressive strength and a preset compressive strength; a solidified loess foundation performance scoring module, configured to perform a weighted sum of the solidified loess foundation uniformity score, the solidified loess foundation compactness score, and the solidified loess foundation compressive strength score to determine the solidified loess foundation performance score.

[0061] The present invention can be a method, an apparatus, a system, and / or a computer program product. The computer program product may include a computer-readable storage medium having thereon computer-readable program instructions for performing various aspects of the present invention.

[0062] Those skilled in the art should understand that the embodiments of the present invention described above and shown in the drawings are only examples and do not limit the present invention. The objectives of the present invention have been fully and effectively achieved. The functions and structural principles of the present invention have been shown and described in the embodiments, and without departing from the principles, the embodiments of the present invention can have any deformation or modification.

Claims

1. A method for testing the performance of industrial solid waste green cementitious materials in solidifying loess foundation, characterized in that: include: Sampling points are evenly distributed on the solidified loess foundation, and solidified soil samples are collected in layers according to depth; Testing the solidified soil sample by an X-ray fluorescence spectrometer to obtain the solid waste component content; determining the uniformity score of the solidified loess foundation according to the solid waste component content; Obtaining the wet density and moisture content of the solidified soil sample; determining the density score of the solidified loess foundation according to the wet density and the moisture content; Obtain the cementitious material dosage and the curing days of the solidified loess foundation; input the cementitious material dosage and the curing days into a trained compressive strength prediction model to obtain the predicted compressive strength of the solidified loess foundation; determine the compressive strength score of the solidified loess foundation according to the predicted compressive strength and the preset compressive strength; and determine the performance score of the solidified loess foundation by weighted summation of the uniformity score of the solidified loess foundation, the density score of the solidified loess foundation and the compressive strength score of the solidified loess foundation.

2. The method for testing the performance of industrial solid waste green cementitious materials in solidifying loess foundation according to claim 1, characterized in that: According to the solid waste component content, the uniformity score of the solidified loess foundation is determined, including: determining the sampling position information of each solidified soil sample in the solidified loess foundation, wherein the sampling position information includes the coordinates of the solidified soil sample in the length direction of the solidified loess foundation, the coordinates of the solidified soil sample in the width direction of the solidified loess foundation, and the coordinates of the solidified soil sample in the depth direction of the solidified loess foundation; according to the solid waste component content, determining the solid waste component vectors of multiple sampling position information; according to the solid waste component vectors, determining the uniformity score of the solidified loess foundation.

3. The method for testing the performance of industrial solid waste green cementitious materials in solidifying loess foundation according to claim 2, characterized in that: According to the solid waste component vector, the uniformity score of the solidified loess foundation is determined, including: according to the formula , determine the uniformity score of the solidified loess foundation, where A is the uniformity score of the solidified loess foundation, is the solid waste component vector of the mth sampling position in the length direction, the nth sampling position in the width direction, and the sth sampling position in the depth direction of the solidified loess foundation, is the solid waste component vector of the m+1th sampling position in the length direction, the nth sampling position in the width direction, and the sth sampling position in the length direction of the solidified loess foundation, for The transposed vector of is the solid waste component vector of the mth sampling position in the length direction, the n+1th sampling position in the width direction, and the sth sampling position in the depth direction of the solidified loess foundation, for The transposed vector of is the solid waste component vector of the mth sampling position in the length direction, the nth sampling position in the width direction, and the s+1th sampling position in the depth direction of the solidified loess foundation, for The transposed vector of , M is the number of sampling position information in the length direction of the solidified loess foundation, N is the number of sampling position information in the width direction of the solidified loess foundation, S is the number of sampling position information in the depth direction of the solidified loess foundation, m≤M, n≤N, s≤S, and m, n, s, M, N and S are all positive integers.

4. The method for testing the performance of industrial solid waste green cementitious materials in solidifying loess foundation according to claim 1, characterized in that: According to the wet density and the moisture content, a density score of the solidified loess foundation is determined, including: averaging the wet densities of multiple solidified soil samples to obtain an average wet density; averaging the moisture contents of multiple solidified soil samples to obtain an average moisture content; determining a solidified dry density according to the average wet density and the average moisture content; determining a solidification effective score according to the solidified dry density; obtaining the specific gravity of loess particles; determining a solidification filling score according to the solidification dry density and the specific gravity of the soil particles; and determining a density score of the solidified loess foundation by weighted summation of the solidification effective score and the solidification filling score.

5. The method for testing the performance of industrial solid waste green cementitious materials in solidifying loess foundation according to claim 4, characterized in that: According to the solidified dry density, a solidification effective score is determined, including: obtaining an average wet density of unsolidified loess and an average moisture content of unsolidified loess; obtaining an unsolidified dry density according to the average wet density of the unsolidified loess and the average moisture content of the unsolidified loess; and determining a solidification effective score according to the unsolidified dry density and the solidified dry density.

6. The method for testing the performance of industrial solid waste green cementitious materials in solidifying loess foundation according to claim 4, characterized in that: The solidification and filling score is determined according to the solidification dry density and the specific gravity of the soil particles, including: determining the porosity ratio according to the ratio of the product of the specific gravity of the soil particles and the density of water, minus 1, to the solidification dry density; obtaining the maximum solidification dry density according to the compaction test; determining the degree of compaction according to the ratio between the solidification dry density and the maximum solidification dry density; if the porosity ratio is less than the preset porosity ratio and the degree of compaction is greater than or equal to the preset degree of compaction, determining the solidification and filling score to be 1; if the porosity ratio is greater than or equal to the preset porosity ratio, or the degree of compaction is less than the preset degree of compaction, determining the solidification and filling score to be 0.

7. The method for testing the performance of industrial solid waste green cementitious materials in solidifying loess foundation according to claim 1, characterized in that: The training steps of the compressive strength prediction model include: obtaining sample cementitious material dosage and sample curing days of multiple sample solidified loess foundations; measuring the sample solidified loess foundations by a pressure testing machine to obtain the sample compressive strength of multiple sample solidified loess foundations; processing the sample cementitious material dosage and the sample curing days by a compressive strength prediction model to obtain the sample predicted compressive strength of multiple sample solidified loess foundations; determining the loss function of the compressive strength prediction model according to the sample cementitious material dosage, the sample curing days, the sample compressive strength and the sample predicted compressive strength; training the compressive strength prediction model according to the loss function of the compressive strength prediction model to obtain the trained compressive strength prediction model.

8. The method for testing the performance of industrial solid waste green cementitious materials in solidifying loess foundation according to claim 7, characterized in that: According to the sample cementitious material dosage, the sample curing days, the sample compressive strength and the sample predicted compressive strength, the loss function of the compressive strength prediction model is determined, including: according to the formula , determine the loss function of the compressive strength prediction model, where, is the loss function of the compressive strength prediction model, The amount of cementitious material added to solidify the loess foundation. is the amount of cementitious material added to solidify the loess foundation of the e-th sample, The curing days for solidified loess foundation are: is the curing days of the e-th sample solidified loess foundation, is the sample compressive strength of the e-th sample solidified loess foundation, The predicted compressive strength of the e-th sample solidified loess foundation, E is the number of sample solidified loess foundation, e≤E, and both e and E are positive integers.

9. The method for testing the performance of industrial solid waste green cementitious materials in solidifying loess foundation according to claim 1, characterized in that: According to the predicted compressive strength and the preset compressive strength, the compressive strength score of the solidified loess foundation is determined, including: if the predicted compressive strength is greater than or equal to the preset compressive strength, the compressive strength score of the solidified loess foundation is determined to be 1; if 1 minus the predicted compressive strength is less than the preset compressive strength, then the compressive strength score of the solidified loess foundation is determined according to the result of the relative difference between the predicted compressive strength and the preset compressive strength.

10. A system for testing the performance of loess foundation solidified by green cementitious materials from industrial solid waste, used to perform the method for testing the performance of loess foundation solidified by green cementitious materials from industrial solid waste as described in any one of claims 1 to 9, characterized in that: include: Solidified soil sample module, used to evenly distribute sampling points on the solidified loess foundation and collect solidified soil samples in layers according to depth; A solid waste component content module is used to detect the solidified soil sample through an X-ray fluorescence spectrometer to obtain the solid waste component content; a solidified loess foundation uniformity scoring module is used to determine the solidified loess foundation uniformity score according to the solid waste component content; a wet density and moisture content module is used to obtain the wet density and moisture content of the solidified soil sample; a solidified loess foundation density scoring module is used to determine the solidified loess foundation density score according to the wet density and the moisture content; a cementitious material dosage and curing days module is used to obtain the cementitious material dosage and curing days of the solidified loess foundation; a predicted compressive strength module is used to input the cementitious material dosage and the curing days into a trained compressive strength prediction model to obtain the predicted compressive strength of the solidified loess foundation; The solidified loess foundation compressive strength scoring module is used to determine the solidified loess foundation compressive strength score according to the predicted compressive strength and the preset compressive strength; the solidified loess foundation performance scoring module is used to weightedly sum the solidified loess foundation uniformity score, the solidified loess foundation density score and the solidified loess foundation compressive strength score to determine the solidified loess foundation performance score.

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