Simulated lunar soil inspection method and preparation method for construction research

Abstract

A simulated lunar soil inspection method for construction research. The method comprises: determining a particle size distribution parameter of a simulated lunar soil sample, and calculating a particle size distribution parameter similarity between the simulated lunar soil sample and real lunar soil; determining a mineral composition parameter of the simulated lunar soil sample, and calculating a mineral composition parameter similarity between the simulated lunar soil sample and the real lunar soil; determining a particle shape parameter of the simulated lunar soil sample, and calculating a particle shape parameter similarity between the simulated lunar soil sample and the real lunar soil; determining a density parameter of the simulated lunar soil sample, and calculating a density parameter similarity between the simulated lunar soil sample and the real lunar soil; and when the particle size distribution parameter similarity, the mineral composition parameter similarity, the particle shape parameter similarity and the density parameter similarity all exceed corresponding thresholds, the simulated lunar soil sample passing the inspection.

Description

A method for detecting and preparing simulated lunar soil for construction research.

[0001] Cross-references to related applications

[0002] This application claims priority to Chinese Patent Application No. 202411613525.2, filed on November 12, 2024, entitled "A method for detecting and preparing simulated lunar soil for construction research", the entire contents of which are incorporated herein by reference. Technical Field

[0003] This application relates to the field of in-situ lunar resource utilization, and in particular to a method for detecting and preparing simulated lunar soil for construction research. Background Technology

[0004] With the increasing demand for space exploration, lunar exploration activities are showing a vigorous new trend worldwide. Lunar exploration is of great significance for promoting space technology research and driving the development of national scientific and technological strength. The construction of lunar engineering projects can provide a safe environment for astronauts to live on the moon, conduct scientific research, and develop resources. It is a fundamental guarantee for human beings to live on the moon for a long time and to deeply develop lunar resources.

[0005] Because it is difficult to obtain real lunar soil samples on a large scale, while lunar engineering construction research requires a large amount of materials for testing and verification, simulated lunar soil materials must be used as a substitute in actual research. These simulated materials need to replicate the physical and chemical properties of real lunar soil to a certain extent, meeting the large-scale material usage requirements for experiments and verification, thus playing a crucial role in lunar engineering research and technology development.

[0006] However, the development and application of simulated lunar regolith materials face numerous challenges. First, lunar regolith itself possesses complex physical and chemical properties, and its formation is influenced by unique lunar environmental conditions. Human understanding of lunar regolith properties is primarily based on limited sampling points and probe data, resulting in a limited understanding of its overall characteristics. Existing simulated lunar regolith mainly focuses on simulating particle size distribution, and its actual physicochemical properties differ significantly from real lunar regolith, failing to meet the needs of simulated lunar regolith in lunar engineering construction research. Furthermore, the current development of simulated materials lacks a universal quantitative method for calculating simulation similarity, leading to significant differences in the performance and consistency of simulated lunar regolith used by different research teams. These issues all increase the difficulty and uncertainty of simulated lunar regolith material development, placing higher demands on lunar engineering construction research. Summary of the Invention

[0007] One objective of this application is to propose a method for detecting and preparing simulated lunar soil for construction research, so as to more accurately simulate the physicochemical properties of real lunar soil, thereby facilitating lunar engineering construction research.

[0008] A method for detecting simulated lunar soil used in construction research includes:

[0009] The particle size distribution parameters of the simulated lunar soil sample were determined, and the similarity between the particle size distribution parameters of the simulated lunar soil sample and the real lunar soil was calculated.

[0010] The mineral composition parameters of the simulated lunar soil sample were determined, and the similarity between the mineral composition parameters of the simulated lunar soil sample and the real lunar soil was calculated.

[0011] The particle shape parameters of the simulated lunar soil sample were measured, and the similarity between the particle shape parameters of the simulated lunar soil sample and the real lunar soil was calculated.

[0012] The density parameters of the simulated lunar soil sample were measured, and the similarity between the density parameters of the simulated lunar soil sample and the real lunar soil was calculated.

[0013] When the similarity of the particle size distribution parameter, the similarity of the mineral composition parameter, the similarity of the particle shape parameter, and the similarity of the density parameter all exceed the corresponding thresholds, the simulated lunar soil sample passes the test.

[0014] Optionally, the particle size distribution parameters include a particle size distribution vector and an interval width vector. The particle size distribution vector contains the volume percentage of particles in each particle size interval of the sample; the interval width vector contains the difference between the maximum and minimum particle sizes in each particle size interval.

[0015] The similarity of particle size distribution parameters is calculated using the following formula:

[0016] FOM 粒径 X represents similarity. 粒径 Y represents the particle size distribution vector of the simulated lunar soil sample. 粒径 W represents the particle size distribution vector of the actual lunar soil; W represents the interval width vector.

[0017] Optionally, the particle size distribution vector X of the simulated lunar soil sample 粒径 = [x1,x2,x3,x4,x5,x6], where x1-x6 are the volume percentages of particles with diameters of 0-12.5µm, 12.5-40µm, 40-70.5µm, 70.5-115µm, 115-500µm, and 500-1000µm, respectively; Y 粒径= [y1,y2,y3,y4,y5,y6], where y1-y6 are the volume percentages of particles with diameters of 0-12.5um, 12.5-40um, 40-70.5um, 70.5-115um, 115-500um, and 500-1000um in real lunar soil, respectively; W = [12.5,27.5,30.5,44.5,385,500];

[0018] Optionally, the particle size distribution parameter is determined by using a particle size analyzer to measure the particle size distribution curve of the sample.

[0019] Optionally, the mineral composition parameters include a mineral content vector, and the similarity of the mineral composition parameters is calculated using the following formula:

[0020] Among them, FOM 矿物 Represents similarity; simulates the mineral content vector X of lunar soil samples. 矿物 =[Simulated lunar soil pyroxene content, simulated lunar soil plagioclase content, simulated lunar soil ilmenite content, simulated lunar soil olivine content]; Mineral content vector Y of real lunar soil sample 矿物 = [Real lunar soil pyroxene content, real lunar soil plagioclase content, real lunar soil ilmenite content, real lunar soil olivine content].

[0021] Optionally, the grain shape parameter includes a grain shape vector, and the grain shape parameter similarity is calculated using the following formula:

[0022] Among them, FOM 粒形 Represents similarity; simulates the particle shape vector X of lunar soil samples. 粒形 =[Simulated lunar soil aspect ratio, simulated lunar soil roundness]; Particle shape vector Y of real lunar soil sample 粒形 = [Aspect ratio of actual lunar regolith, sphericity of actual lunar regolith];

[0023] Optionally, the particle shape parameter is determined by: using image processing methods to identify SEM electron microscope images of sample particles, measuring the aspect ratio and roundness of the particles, and counting a minimum of 2000 particles.

[0024] Optionally, the density parameter includes a mineral density vector, and the density parameter similarity is calculated using the following formula:

[0025] Among them, FOM 密度 Represents similarity; the density vector X of the simulated lunar soil sample 密度 =[Simulated lunar soil density]; Density vector Y of real lunar soil sample 密度 =[True lunar soil density];

[0026] The density parameter was determined by using a specific gravity bottle to measure the specific gravity of the sample particles.

[0027] Optionally, the threshold values ​​for the similarity of particle size distribution parameters, mineral composition parameters, particle shape parameters, and density parameters are all 0.95.

[0028] A method for preparing simulated lunar soil, comprising:

[0029] Step 1) Grind the rock raw material to obtain powder with multiple particle size ranges;

[0030] Step 2) Measure the particle size distribution curve for each particle size range; then mix the powders from each particle size range according to the particle size distribution parameters of real lunar soil to obtain simulated lunar soil samples;

[0031] Step 3) The simulated lunar soil sample is tested using the above-mentioned detection method. When the simulated lunar soil sample passes the test, the simulated lunar soil is obtained.

[0032] Optionally, it also includes step four) when the simulated lunar soil sample fails the test, adjusting the simulated lunar soil sample according to the results of similarity of particle size distribution parameters, similarity of mineral composition parameters, similarity of particle shape parameters, and similarity of density parameters;

[0033] Then repeat steps three and four until the lunar soil sample passes the test;

[0034] Optionally, the rock material is basalt;

[0035] Optionally, the particle size range is divided into five ranges: greater than 40 mesh, 40-80 mesh, 80-200 mesh, 200-325 mesh, and less than 325 mesh.

[0036] This application also proposes a simulated lunar soil obtained by the above-described preparation method.

[0037] This application also proposes the application of the aforementioned simulated lunar soil in lunar engineering construction research.

[0038] The research on lunar surface engineering construction includes in-situ construction technology research for lunar research station infrastructure, including foundation and substructure engineering, main structure engineering, and protective structure engineering, involving technical operations such as in-situ excavation, transportation, mixing, accumulation, compaction, and solidification of lunar soil. The solidification technology operations include chemical reaction solidification, sintering and melting solidification, bonding solidification, and constraint-forming solidification.

[0039] Compared with the prior art, this application has at least the following beneficial effects:

[0040] The advantage of this application lies in its ability to effectively enhance the relevance and practicality of simulated lunar soil by clearly defining the target characteristics. Furthermore, by developing specific and operable evaluation methods, it provides a scientific and quantifiable standard for assessing the quality of simulated lunar soil. This clear simulation objective and evaluation method give this application significant value in lunar engineering construction research.

[0041] This application clarifies the evaluation method for simulated materials, achieving precise quantification of simulation effects by introducing scientific and quantifiable similarity calculation standards. This method not only improves the reliability of simulated lunar soil materials but also provides a unified quality assessment standard for materials used by different research teams in lunar engineering construction research, thereby significantly improving the consistency of research results.

[0042] This application analyzes in-situ materials' role in lunar engineering construction. It selects four core indicators that affect engineering construction performance as the basis for simulation preparation, ensuring that the preparation process of the simulated materials is highly matched with actual application requirements. Attached Figure Description

[0043] To more clearly illustrate the technical solutions in the specific embodiments of this application or the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0044] Figure 1 is a flowchart of the simulated lunar soil preparation method of this application. Detailed Implementation

[0045] Various exemplary embodiments of this application are now described in detail. This detailed description should not be considered as a limitation of this application, but rather as a more detailed description of certain aspects, features, and implementations of this application. It should be understood that the terminology used in this application is merely for describing particular embodiments and is not intended to limit this application.

[0046] Furthermore, regarding the numerical ranges in this application, it should be understood that each intermediate value between the upper and lower limits of the range is also specifically disclosed. Each smaller range between any stated value or intermediate value within a stated range, and any other stated value or intermediate value within said range, is also included in this application. The upper and lower limits of these smaller ranges may be independently included or excluded from the range.

[0047] Unless otherwise stated, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art described herein. While only optional methods and materials are described herein, any methods and materials similar to or equivalent to those described herein may also be used in the implementation or testing of this application.

[0048] The terms “include,” “including,” “have,” “contain,” etc., used in this article are all open-ended terms, meaning that they include but are not limited to.

[0049] This application proposes a method for detecting simulated lunar soil, including: sequentially examining the mineral composition, grain shape parameters, and density parameters of a sample; calculating the similarity between the sample and real lunar soil; and finally obtaining simulated lunar soil. The similarity calculation method involves selecting a key indicator vector, and the similarity is calculated as 1 - (error vector L1 norm) / [(key indicator vector L1 norm) + (target indicator vector L1 norm)]. A similarity greater than 0.95 is considered a high-similarity simulation. This application aims to develop a simulated lunar soil for lunar engineering construction research, providing a new approach to the preparation and similarity evaluation of simulated lunar soil.

[0050] Example 1

[0051] A method for simulating lunar soil detection includes:

[0052] Step 1) Determine the particle size distribution parameters of the simulated lunar soil sample and calculate the similarity between the particle size distribution parameters of the simulated lunar soil sample and the real lunar soil.

[0053] The particle size distribution parameters include a particle size distribution vector and an interval width vector. The particle size distribution vector contains the volume percentage of particles in each particle size interval of the sample. The interval width vector contains the difference between the maximum and minimum particle size in each particle size interval. The particle size distribution parameters are determined by using a particle size analyzer to measure the particle size distribution curve of the sample.

[0054] The similarity of particle size distribution parameters is calculated using the following formula:

[0055] FOM 粒径 X represents similarity. 粒径 Y represents the particle size distribution vector of the simulated lunar soil sample. 粒径 X represents the particle size distribution vector of real lunar soil; W represents the interval width vector. In this embodiment, the particle size distribution vector X of the simulated lunar soil sample is... 粒径 = [x1,x2,x3,x4,x5,x6], where x1-x6 are the volume percentages of particles with diameters of 0-12.5um, 12.5-40um, 40-70.5um, 70.5-115um, 115-500um, and 500-1000um, respectively.

[0056] Step 2) Determine the mineral composition parameters of the simulated lunar soil sample and calculate the similarity between the mineral composition parameters of the simulated lunar soil sample and the real lunar soil.

[0057] The mineral composition parameters include a mineral content vector, and the similarity of the mineral composition parameters is calculated using the following formula:

[0058] Among them, FOM 矿物 Represents similarity; simulates the mineral content vector X of lunar soil samples. 矿物 =[Simulated lunar soil pyroxene content, simulated lunar soil plagioclase content, simulated lunar soil ilmenite content, simulated lunar soil olivine content]; Mineral content vector Y of real lunar soil sample 矿物 = [Real lunar soil pyroxene content, real lunar soil plagioclase content, real lunar soil ilmenite content, real lunar soil olivine content].

[0059] Step 3) Determine the particle shape parameters of the simulated lunar soil sample and calculate the similarity between the particle shape parameters of the simulated lunar soil sample and the real lunar soil.

[0060] The grain shape parameter includes a grain shape vector, and the similarity of the grain shape parameter is calculated using the following formula:

[0061] Among them, FOM 粒形 Represents similarity; simulates the particle shape vector X of lunar soil samples. 粒形 =[Simulated lunar soil aspect ratio, simulated lunar soil roundness]; Particle shape vector Y of real lunar soil sample 粒形 = [Aspect ratio of actual lunar regolith, sphericity of actual lunar regolith];

[0062] Optionally, the particle shape parameter is determined by: using image processing methods to identify SEM electron microscope images of sample particles, measuring the aspect ratio and roundness of the particles, and counting a minimum of 2000 particles.

[0063] Step 4) Determine the density parameters of the simulated lunar soil sample and calculate the similarity between the density parameters of the simulated lunar soil sample and the real lunar soil; the density parameters include the mineral density vector, and the density parameter similarity is calculated using the following formula:

[0064] Among them, FOM 密度 Represents similarity; the density vector X of the simulated lunar soil sample 密度 =[Simulated lunar soil density]; Density vector Y of real lunar soil sample 密度 =[True lunar soil density];

[0065] The density parameter was determined by using a specific gravity bottle to measure the specific gravity of the sample particles.

[0066] (Step 5) When the similarity of the particle size distribution parameter, mineral composition parameter, particle shape parameter, and density parameter all exceed the corresponding thresholds, the simulated lunar soil sample passes the test. The thresholds for the similarity of the particle size distribution parameter, mineral composition parameter, particle shape parameter, and density parameter are all 0.95.

[0067] Example 2

[0068] Based on the above detection method, this embodiment proposes a method for preparing simulated lunar soil, as shown in Figure 1. The specific steps are as follows:

[0069] Step 1: Select raw rock materials;

[0070] Specifically, the raw material of the rock is basalt, whose main mineral components are pyroxene, plagioclase, and ilmenite.

[0071] Step 2: Crush and grind the raw materials to obtain basalt powder with multiple particle size ranges;

[0072] Specifically, the grinding operation uses a Raymond mill, and the particle size range is divided into five ranges: greater than 40 mesh, 40-80 mesh, 80-200 mesh, 200-325 mesh, and less than 325 mesh.

[0073] Step 3: Measure the particle size distribution curve for each particle size range, mix samples with particle sizes that match those of real lunar soil, examine the particle size distribution of the samples, and calculate and verify the similarity of the particle size distribution of the samples with those of real lunar soil.

[0074] The method for calculating particle size distribution similarity is described in Example 1:

[0075] The particle size distribution vector is X = [x1, x2, x3, x4, x5, x6], where x1-x6 are the volume percentages of particles with diameters of 0-12.5 μm, 12.5-40 μm, 40-70.5 μm, 70.5-115 μm, 115-500 μm, and 500-1000 μm, respectively. The values ​​of x1-x6 are determined based on the particle size distribution curve of the sample measured in step 3-1. The actual lunar soil particle size distribution vector is Y = [0.2, 0.2, 0.2, 0.2, 0.2, 0]. The interval width vector is defined as W = [12.5, 27.5, 30.5, 44.5, 385, 500], where w i This represents the width of the i-th particle size range.

[0076] The test result showed that FOM > 0.95.

[0077] Step 4: Examine the mineral composition of the sample and calculate the similarity between the mineral composition of the sample and that of real lunar soil;

[0078] The method for calculating the similarity of mineral composition described in step 4 is as follows:

[0079] Step 4-1: Determine the mineral composition of the sample using the XRD method;

[0080] Step 4-2: Define the sample mineral content vector as X = [pyroxene content, plagioclase content, ilmenite content, olivine content], and the mineral content vector of the Chang'e 5 sample as Y, in this embodiment Y = [42.0, 30.1, 4.5, 5.7].

[0081] Step 4-3: Calculate the similarity index. The calculation method is described in Example 1.

[0082] Step 4-4: Check if FOM > 0.95.

[0083] Step 5: Examine the particle shape parameters of the sample and calculate the similarity between the particle shape parameters of the sample and the real lunar soil;

[0084] Furthermore, the method for calculating the similarity of particle shape parameters in step 5 is as follows:

[0085] Step 5-1: Use image processing methods to identify the SEM images of sample particles, determine particle shape parameters, and count the minimum number of particles (at least 2000).

[0086] Step 5-2: Define the sample particle shape parameter vector as X = [aspect ratio, roundness], and the particle shape parameter vector of the Chang'e 5 sample as Y. In this embodiment, Y = [1.45, 0.875].

[0087] Step 5-3 calculates the similarity index. The calculation method is described in Example 1.

[0088] Step 5-4: Check if FOM > 0.95.

[0089] Step 6: Examine the sample density parameters and calculate the similarity between the sample density parameters and those of real lunar soil.

[0090] Furthermore, the method for calculating the similarity of the density parameters described in step 6 is as follows:

[0091] Step 6-1: Determine the specific gravity of the sample particles using the specific gravity bottle method. The determination method shall comply with the provisions of the standard GB / T 20123 for geotechnical testing methods.

[0092] Step 6-2: Define the sample density parameter vector as X = [specific gravity], in this embodiment Y = 3.1952.

[0093] Step 6-3 calculates the similarity index. The calculation method is described in Example 1.

[0094] Step 6-4: Check if FOM > 0.95.

[0095] The similarity scores for particle size distribution, mineral composition, particle shape, and density were all greater than 0.95, indicating that the simulated lunar soil sample passed the tests and was a qualified simulated lunar soil sample.

[0096] If the above tests fail, the sample can be further adjusted based on the test results until it passes the tests. Fine-tuning methods include, but are not limited to, further grinding the sample, adjusting the grinding mesh, adding missing mineral raw materials to the sample, and selecting new rock raw materials.

[0097] This application, through in-depth analysis of the role mechanism of in-situ materials in lunar engineering construction, selects four core indicators affecting engineering construction performance as the basis for simulation preparation, ensuring a high degree of match between the preparation process of the simulated materials and actual application requirements. The application objectives of the lunar soil simulation indicators are clearly defined, covering multiple key areas including foundation and substructure engineering, main structure engineering, and protective structure engineering. Specifically, this application involves a series of technical operations such as excavation, transportation, mixing, stockpiling, compaction, and solidification of in-situ lunar soil. Among these, solidification techniques include various methods such as chemical reaction solidification, sintering and melting solidification, bonding solidification, and constrained forming solidification.

[0098] Obviously, the above embodiments are merely illustrative examples for clear explanation and are not intended to limit the implementation. Those skilled in the art will recognize that other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all possible implementations here. However, obvious variations or modifications derived therefrom are still within the scope of protection of this application.

Claims

1. A method for detecting simulated lunar soil for construction studies, characterized in that, include: The particle size distribution parameters of the simulated lunar soil sample were determined, and the similarity between the particle size distribution parameters of the simulated lunar soil sample and the real lunar soil was calculated. The mineral composition parameters of the simulated lunar soil sample were determined, and the similarity between the mineral composition parameters of the simulated lunar soil sample and the real lunar soil was calculated. The particle shape parameters of the simulated lunar soil sample were measured, and the similarity between the particle shape parameters of the simulated lunar soil sample and the real lunar soil was calculated. The density parameters of the simulated lunar soil sample were measured, and the similarity between the density parameters of the simulated lunar soil sample and the real lunar soil was calculated. When the similarity of the particle size distribution parameter, the similarity of the mineral composition parameter, the similarity of the particle shape parameter, and the similarity of the density parameter all exceed the corresponding thresholds, the simulated lunar soil sample passes the test.

2. The method for detecting simulated lunar soil for construction research according to claim 1, characterized in that, The particle size distribution parameters include a particle size distribution vector and an interval width vector. The particle size distribution vector contains the volume percentage of particles in each particle size interval of the sample. The interval width vector contains the difference between the maximum and minimum particle size in each particle size interval; The particle size distribution parameter similarity is calculated using the following formula: where FOM 粒径 represents a similarity, X 粒径 represents a particle size distribution vector of a simulated lunar soil sample, Y 粒径 represents a particle size distribution vector of a real lunar soil; W represents an interval width vector; Optionally, the particle size distribution vector X of the simulated lunar soil sample 粒径 = [x1,x2,x3,x4,x5,x6], where x1-x6 are the volume percentages of particles with diameters of 0-12.5µm, 12.5-40µm, 40-70.5µm, 70.5-115µm, 115-500µm, and 500-1000µm, respectively; Y 粒径 = [y1, y2, y3, y4, y5, y6], where y1-y6 are the volume percentages of particles with diameters of 0-12.5um, 12.5-40um, 40-70.5um, 70.5-115um, 115-500um, and 500-1000um in real lunar soil, respectively; W = [12.5, 27.5, 30.5, 44.5, 385, 500]; Optionally, the particle size distribution parameter is determined by using a particle size analyzer to measure the particle size distribution curve of the sample.

3. The method for detecting simulated lunar soil for construction research according to claim 1, characterized in that, The mineral composition parameters include a mineral content vector, and the similarity of the mineral composition parameters is calculated using the following formula: Among them, FOM 矿物 Represents similarity; simulates the mineral content vector X of lunar soil samples. 矿物 =[Simulated lunar soil pyroxene content, simulated lunar soil plagioclase content, simulated lunar soil ilmenite content, simulated lunar soil olivine content]; Mineral content vector Y of real lunar soil sample 矿物 = [Real lunar soil pyroxene content, real lunar soil plagioclase content, real lunar soil ilmenite content, real lunar soil olivine content].

4. The method for detecting simulated lunar soil for construction research according to claim 1, characterized in that, The grain shape parameters include a grain shape vector, and the grain shape parameter similarity is calculated using the following formula: where FOM 粒形 represents the similarity; the grain shape vector X of the simulated lunar soil sample 粒形 = [aspect ratio of simulated lunar soil, circularity of simulated lunar soil]; the grain shape vector Y of the real lunar soil sample 粒形 = [aspect ratio of real lunar soil, circularity of real lunar soil]; Optionally, the particle shape parameter is determined by: using image processing methods to identify SEM electron microscope images of sample particles, measuring the aspect ratio and roundness of the particles, and counting a minimum of 2000 particles.

5. The method for detecting simulated lunar soil for construction research according to claim 1, characterized in that, The density parameters include a mineral density vector, and the density parameter similarity is calculated using the following equation: where FOM 密度 represents the similarity; the density vector X of the simulated lunar soil sample 密度 = [density of simulated lunar soil]; the density vector Y of the real lunar soil sample 密度 = [density of real lunar soil]; The density parameter was determined by using a specific gravity bottle to measure the specific gravity of the sample particles.

6. The method for detecting simulated lunar soil for construction research according to claim 1, wherein, The threshold values ​​for similarity of particle size distribution parameters, mineral composition parameters, particle shape parameters, and density parameters are all 0.

95.

7. A method for the preparation of simulated lunar soil for construction studies, characterized in that, include: Step 1) Grind the rock raw material to obtain powder with multiple particle size ranges; Step 2) Measure the particle size distribution curve for each particle size range; then mix the powders from each particle size range according to the particle size distribution parameters of real lunar soil to obtain simulated lunar soil samples; Step 3) The simulated lunar soil sample is tested using the detection method for simulated lunar soil used in construction research as described in claim 1. When the simulated lunar soil sample passes the test, the simulated lunar soil is obtained.

8. The method for preparing simulated lunar soil for constructional research according to claim 7, characterized in that, It also includes step four) when the simulated lunar soil sample fails the test, the simulated lunar soil sample is adjusted according to the similarity results of particle size distribution parameters, mineral composition parameters, particle shape parameters, and density parameters; Then repeat steps three and four until the lunar soil sample passes the test; Optionally, the rock material is basalt.

9. Simulated lunar soil for construction research obtained by the preparation method according to claim 7 or 8.

10. The application of the simulated lunar soil for construction research as described in claim 9 in lunar surface engineering construction research.

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