Multidimensional damage mechanics evaluation system and method for millimeter wave induced rock cracking

Abstract

The application belongs to the field of rock mechanics and deep earth engineering, and particularly relates to a deep earth millimeter wave cracked rock multidimensional damage mechanics evaluation system and method, aiming to solve the problem of non-systematic and non-accurate millimeter wave cracked rock damage evaluation. The system comprises: a millimeter wave action unit for radiating millimeter waves on rock samples in a simulated high temperature and high pressure environment; a macroscopic damage analysis unit for obtaining the macroscopic three-dimensional topography of the damaged rock; a sample preparation unit for regionally sampling the damaged rock according to the gradient; a microscopic structure analysis unit for analyzing the microscopic structure and mineral components of the sample; a mechanics evaluation unit for testing the mechanical properties of the sample; and a data fusion analysis unit for fusing multiple data sources to establish a mapping model. The application reveals the internal relationship between millimeter wave process parameters and rock damage range, microscopic structure evolution and mechanical property degradation, and can provide reliable theoretical basis and data support for process optimization and precise control of deep earth millimeter wave efficient rock breaking.

Description

Technical Field

[0001] This invention belongs to the field of rock mechanics and deep earth engineering, and specifically relates to a multi-dimensional damage mechanics evaluation system and method for deep earth millimeter wave-induced fracturing rocks. Background Technology

[0002] With the depletion of shallow resources, exploring deeper Earth resources has become an inevitable trend in energy and mineral development. However, deep rock masses are generally situated in extreme environments characterized by high ground stress, high ground temperature, and high pore pressure. The rocks are strong and tough, resulting in traditional contact mechanical rock breaking methods being inefficient, costly, and subject to severe equipment wear.

[0003] Millimeter-wave fracturing technology is an emerging non-contact rock breaking technique. It utilizes high-power millimeter-wave energy to generate localized high temperatures within the rock through the dielectric loss effect of rock minerals, thereby inducing thermal stress concentration and mineral phase transformation, ultimately leading to rock weakening and even fracturing. This technology has shown great potential in complex deep-earth environments.

[0004] However, existing research and evaluation of millimeter-wave fracturing technology have significant shortcomings. First, most studies are conducted under normal temperature and pressure, making it difficult to accurately reflect the comprehensive impact of the high-temperature, high-pressure, and high-energy-density environment of deep earth on the physical, mechanical, and electromagnetic response characteristics of rocks. Second, existing analytical methods typically treat rocks subjected to millimeter-wave treatment as homogeneous damaged bodies, neglecting the damage gradient characteristics caused by the Gaussian distribution of millimeter-wave energy. That is, the degree of damage to the rock changes drastically from the center of action to the periphery, but systematic research on the differences in microstructure and mechanical properties along this gradient is lacking.

[0005] Finally, existing technologies fail to effectively correlate macroscopic damage morphology, microstructural evolution, and macroscopic mechanical property deterioration, lacking a comprehensive evaluation system across scales. This results in a lack of precise theoretical and data support for optimizing millimeter-wave rock breaking process parameters. Summary of the Invention

[0006] To address the aforementioned problems in the prior art, namely the lack of systematic and accurate assessment of millimeter-wave-induced rock damage, this invention provides a multi-dimensional damage mechanics evaluation system and method for deep-earth millimeter-wave-induced rock damage.

[0007] In a first aspect, this invention proposes a multi-dimensional damage mechanics evaluation system for deep-earth millimeter-wave-induced fracturing rocks, comprising:

[0008] The millimeter-wave action unit is configured to irradiate rock samples with millimeter waves under a simulated high-temperature and high-pressure environment to obtain damaged rock samples.

[0009] The macroscopic damage analysis unit is configured to scan the damaged rock sample to obtain three-dimensional morphological data of the damaged area.

[0010] The sample preparation unit is configured to process the damaged rock sample to obtain multiple test samples from different regions of the damaged rock sample;

[0011] The microstructure analysis unit is configured to analyze at least one of the plurality of test samples to obtain microstructure data and mineral composition data;

[0012] A mechanical evaluation unit is configured to perform mechanical property testing on at least one of the plurality of test samples to obtain mechanical property data.

[0013] The data fusion analysis unit is connected to the macroscopic damage analysis unit, the microstructure analysis unit, and the mechanical evaluation unit. The data fusion analysis unit is configured to establish a mapping model based on millimeter-wave process parameters, the three-dimensional morphology data, the microstructure data, the mineral composition data, and the mechanical property data.

[0014] Furthermore, the millimeter-wave action unit includes a true triaxial loading device, a heating device, and a millimeter-wave transmission device;

[0015] The true triaxial loading device includes a reaction frame, a loading cylinder, a sample box frame, a combined force transmission pad, and a perforated force transmission pad.

[0016] The sample box frame is used to guide and support the combined force transmission pad and the perforated force transmission pad, so as to jointly define a sample chamber for accommodating the rock sample.

[0017] Multiple loading cylinders are connected to the combined force transmission pad to apply pressure to the rock sample from multiple directions; the perforated force transmission pad is disposed within the reaction frame to provide upper reaction force and has a central through hole.

[0018] The heating device includes a heating coil surrounding the rock sample and a heating back plate in contact with the rock sample;

[0019] The millimeter-wave transmission device includes a millimeter-wave waveguide that passes sequentially through the central through-hole of the reaction frame and the perforated force transmission pad to bring the port close to the surface of the rock sample.

[0020] Furthermore, the macroscopic damage analysis unit includes a three-dimensional morphology measurement device and a sample support stage;

[0021] The sample support stage includes a support structure and a light-transmitting plate fixed to the support structure; the damaged rock sample is placed on the upper surface of the light-transmitting plate, and the three-dimensional morphology measuring device is configured to movably scan the upper surface of the damaged rock sample and the lower surface of the damaged rock sample through the light-transmitting plate to obtain three-dimensional morphology data of the damaged area.

[0022] Furthermore, the sample preparation unit includes a cutting device;

[0023] The cutting device is configured to cut the damaged rock sample at different radial distances with the millimeter wave action center as a reference, so as to obtain the plurality of test samples used to characterize the damage gradient.

[0024] The plurality of test samples include cylindrical samples for uniaxial compression testing, disk samples for Brazilian splitting testing, and cuboid samples for microscopic analysis.

[0025] Furthermore, the microstructure analysis unit includes an electron microscopy analysis device;

[0026] The electron microscopy analysis device is configured to acquire the mineral phase composition distribution map, pore structure characteristics and fracture network morphology data of the cuboid sample through energy dispersive spectroscopy and backscattered electron imaging, wherein the fracture network morphology data includes the distribution characteristics of transgranular cracks and intergranular cracks.

[0027] Furthermore, the mechanical evaluation unit includes a triaxial pressure chamber base, a triaxial pressure chamber cylinder mounted on the triaxial pressure chamber base, and a sealing end cap that is sealed to the triaxial pressure chamber cylinder.

[0028] The inside of the triaxial pressure chamber cylinder is provided with an upper pad and a lower pad, and the test sample is placed between the upper pad and the lower pad;

[0029] An outer heating coil is integrated on the outer surface of the triaxial pressure chamber cylinder, and an inner heating tube is provided inside the triaxial pressure chamber cylinder and around the test sample.

[0030] The triaxial pressure chamber cylinder is provided with a confining pressure oil inlet and outlet communicating with the test sample; a piston for applying axial load is movably mounted on the top of the triaxial pressure chamber cylinder.

[0031] The triaxial pressure chamber cylinder also integrates axial and radial sensors for measuring the deformation data of the test sample during loading.

[0032] Furthermore, the data fusion analysis unit is configured as follows:

[0033] Receive the three-dimensional morphology data provided by the macroscopic damage analysis unit, and extract the volume and depth parameters of the thermally damaged region from it;

[0034] Receive the microstructure data and mineral composition data provided by the microstructure analysis unit, and identify the mineral phase transformation ratio and fracture network characteristics therefrom;

[0035] Receive the mechanical performance data provided by the mechanical evaluation unit, and quantify the mechanical performance degradation coefficient of different regions therefrom;

[0036] A mapping model is established between the millimeter-wave process parameters and the volume and depth parameters of the thermally damaged region, the mineral phase transformation ratio and fracture network characteristics, and the mechanical property degradation coefficient.

[0037] In a second aspect, this invention proposes a multi-dimensional damage mechanics evaluation method for deep-earth millimeter-wave-induced fractured rocks, based on a multi-dimensional damage mechanics evaluation system for deep-earth millimeter-wave-induced fractured rocks according to the first aspect. The method includes:

[0038] Millimeter-wave irradiation was applied to rock samples under simulated high temperature and high pressure conditions to obtain damaged rock samples.

[0039] The damaged rock sample was scanned to obtain three-dimensional morphological data of the damaged area;

[0040] The damaged rock sample is processed to obtain multiple test samples from different regions of the damaged rock sample;

[0041] At least one of the plurality of test samples is analyzed to obtain microstructure data and mineral composition data;

[0042] At least one of the plurality of test samples is subjected to mechanical property testing under a simulated high temperature and high pressure environment to obtain mechanical property data;

[0043] A mapping model is established based on the millimeter-wave process parameters, the three-dimensional morphology data, the microstructure data, the mineral composition data, and the mechanical property data.

[0044] Furthermore, the step of processing the damaged rock sample includes:

[0045] Using the millimeter wave action center as a reference, the damaged rock sample is cut and sampled at different radial distances using a cutting device to obtain multiple test samples for characterizing the damage gradient.

[0046] The plurality of test samples include cylindrical samples for uniaxial compression testing, disk samples for Brazilian splitting testing, and cuboid samples for microscopic analysis.

[0047] Furthermore, the steps for conducting mechanical property tests include:

[0048] The test samples obtained from different regions are placed in a mechanical evaluation unit, and under preset temperature and confining pressure conditions simulating a deep-earth environment, the test samples are subjected to uniaxial compression, triaxial compression, or Brazilian splitting tests to obtain their strength, deformation characteristics, and failure modes under different damage levels.

[0049] The beneficial effects of this invention are:

[0050] This invention constructs an integrated experimental and analytical system that can realistically simulate the high-temperature and high-pressure environment of deep strata, and conduct millimeter-wave fracturing and subsequent mechanical property testing on rocks under this environment. This overcomes the fundamental defect of existing technologies, which mostly conduct research under normal temperature and pressure, leading to a serious disconnect between experimental results and actual working conditions. This ensures that the obtained data has direct guiding significance for deep-earth engineering practice and has higher reliability.

[0051] This invention innovatively introduces a zoning and grading evaluation approach based on damage gradients. A sample preparation unit systematically samples rock samples subjected to millimeter-wave radiation from the center of the radiation to the periphery, and combines this with macroscopic, microscopic, and mechanical testing units for differential analysis. This method overcomes the traditional limitation of treating damaged rock as a homogeneous body, achieving for the first time a fine characterization of the heterogeneity of rock damage along the millimeter-wave energy attenuation gradient. It can quantitatively reveal the evolution of microstructure and the degradation gradient of mechanical properties from the molten core to the heat-affected zone, making damage evaluation more accurate and in-depth.

[0052] This invention establishes a multi-dimensional, cross-scale comprehensive evaluation system encompassing macroscopic morphology, microstructure, and mechanical properties. Through a data fusion analysis unit, macroscopic parameters such as damage volume and depth obtained from three-dimensional morphology scanning are organically integrated with microscopic information such as mineral phase transformation and fracture networks obtained from electron microscopy analysis, as well as performance data such as strength and deformation measured by mechanical experiments. This achieves an effective correlation between microscopic damage mechanisms and macroscopic mechanical responses, constructing a quantitative mapping model between millimeter-wave process parameters, multi-dimensional damage characteristics, and mechanical property degradation. This solves the problem in existing technologies where the analyses of different dimensions are fragmented and cannot form a complete chain of evidence.

[0053] This invention provides strong scientific evidence and data support for the process optimization of deep-earth millimeter-wave rock breaking technology. Based on the established mapping model, researchers and engineers can predict the rock breaking effect under different process parameters (such as power and action time), thereby carrying out targeted process optimization and precise control, in order to achieve the most efficient and lowest energy consumption rock breaking target in actual engineering, and greatly promote the transformation of this cutting-edge technology from laboratory research to engineering application. Attached Figure Description

[0054] Other features, objects, and advantages of this application will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings:

[0055] Figure 1 This is a schematic diagram of the connection of each unit in the first embodiment of the present invention;

[0056] Figure 2 This is a schematic diagram of the structure of the millimeter wave action unit in the first embodiment of the present invention;

[0057] Figure 3 This is a schematic diagram of deep-earth rock samples after high-power millimeter-wave irradiation with different parameters in the first embodiment of the present invention;

[0058] Figure 4 This is a schematic diagram of the macroscopic damage analysis unit in the first embodiment of the present invention;

[0059] Figure 5 This is a schematic diagram of the three-dimensional laser cross-section scanning results in the first embodiment of the present invention;

[0060] Figure 6 This is a schematic diagram of sampling at different distances from the center in the first embodiment of the present invention;

[0061] Figure 7 This is a schematic diagram of the results of automated mineral analysis electron microscopy in the same field of view in the first embodiment of the present invention; wherein, Figure 7 (a) in the diagram is a schematic diagram of mineral composition. Figure 7 (b) in the diagram is a schematic diagram of the microstructure;

[0062] Figure 8 This is a schematic diagram of the mechanical evaluation unit in the first embodiment of the present invention;

[0063] Figure 9 This is a schematic diagram of the axial sensor structure of the mechanical evaluation unit in the first embodiment of the present invention;

[0064] Figure 10 This is a flowchart illustrating the second embodiment of the present invention. Detailed Implementation

[0065] The present application will now be described in further detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the invention. Furthermore, it should be noted that, for ease of description, only the parts relevant to the invention are shown in the accompanying drawings.

[0066] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.

[0067] The first embodiment of the present invention, as follows: Figure 1 As shown, a multi-dimensional damage mechanics evaluation system for deep-earth millimeter-wave-induced fracturing rocks is proposed, including:

[0068] The millimeter-wave action unit 100 is configured to irradiate the rock sample S with millimeter waves under a simulated high temperature and high pressure environment to obtain a damaged rock sample S1.

[0069] The macroscopic damage analysis unit 200 is configured to scan the damaged rock sample S1 to obtain three-dimensional morphological data of the damaged area.

[0070] The sample preparation unit 300 is configured to process the damaged rock sample S1 to obtain multiple test samples S2 from different regions of the damaged rock sample S1.

[0071] The microstructure analysis unit 400 is configured to analyze at least one of the plurality of test samples S2 to obtain microstructure data and mineral composition data.

[0072] The mechanical evaluation unit 500 is configured to perform mechanical performance testing on at least one of the plurality of test samples S2 to obtain mechanical performance data.

[0073] The data fusion analysis unit 600 is connected to the macroscopic damage analysis unit 200, the microstructure analysis unit 400, and the mechanical evaluation unit 500. The data fusion analysis unit 600 is configured to establish a mapping model based on millimeter-wave process parameters, the three-dimensional morphology data, the microstructure data, the mineral composition data, and the mechanical property data.

[0074] Specifically, this system achieves a comprehensive evaluation of the millimeter-wave fracturing process in rocks through the organic integration and collaborative work of six functional units. First, the millimeter-wave action unit 100 prepares damaged rock samples under simulated deep-earth conditions. Then, the macroscopic damage analysis unit 200, sample preparation unit 300, microstructure analysis unit 400, and mechanical evaluation unit 500 sequentially perform multi-dimensional, cross-scale analyses on the damaged rock samples. Finally, the data fusion analysis unit 600 integrates all experimental data with initial process parameters to establish a predictive model.

[0075] This systematic design connects the originally isolated analysis steps, achieving full coverage from experimental preparation to data modeling. It overcomes the shortcomings of existing technologies, such as fragmented data and inability to effectively correlate data, thus enabling a systematic and quantitative revelation of the entire process of millimeter wave rock breaking.

[0076] Specifically, the high-temperature and high-pressure environment in this embodiment is: the pressure is set to 300MPa and the temperature is set to 300℃, which can simulate the geological environment at a burial depth of 12000m.

[0077] As a further explanation of the present invention, the millimeter wave action unit 100 includes a true triaxial loading device 110, a heating device 120 and a millimeter wave transmission device 130;

[0078] The true triaxial loading device 110 includes a reaction frame 111, loading cylinders 112, a sample box frame 113, a combined force transmission pad 114, and a perforated force transmission pad 115. The sample box frame 113 guides and supports the combined force transmission pad 114 and the perforated force transmission pad 115, jointly defining a sample chamber for accommodating the rock sample S. Multiple loading cylinders 112 are connected to the combined force transmission pad 114 to apply force to the rock sample S from multiple directions. Pressure; the perforated force-transmitting pad 115 is disposed within the reaction frame 111 to provide upper reaction force and has a central through hole; the heating device 120 includes a heating coil 121 surrounding the rock sample S and a heating back plate 122 in contact with the rock sample S; the millimeter-wave transmission device 130 includes a millimeter-wave waveguide, which passes sequentially through the reaction frame 111 and the central through hole of the perforated force-transmitting pad 115 to bring the port close to the surface of the rock sample S.

[0079] Reference Figure 2 The core function of this unit is to realistically reproduce the so-called "three-high" environment of high ground stress, high ground temperature, and high pore pressure in deep rock masses, and to apply millimeter-wave radiation to the rock sample S under this environment. Specifically, the entire test system is supported by a column 116 standing on the ground, and the rock sample S to be tested is placed in a sample chamber enclosed by five combined force-transmitting pads 114 and one perforated force-transmitting pad 115. Five loading cylinders 112, connected to the five combined force-transmitting pads 114 at the front, back, left, right, and bottom, can independently apply preset pressures to the five surfaces of the rock sample S, accurately simulating the complex deep ground stress state, while a robust reaction frame 111 provides the necessary reaction force for stress application. In addition, this design includes an upper backplate 118, which is positioned between the combined force-transmitting pads 114 and the perforated force-transmitting pad 115, also used to transmit high stress. To introduce millimeter waves, the perforated force transmission pad 115 and the upper back plate 118 both have aligned circular holes at their centers.

[0080] Simultaneously, the heating coil 121 surrounding the sample chamber and the heating back plate 122, which directly contacts both sides of the rock sample S and also functions as a force transmission plate, work together to heat the rock sample S, simulating a deep geothermal environment. The surrounding heat insulation plate 117 effectively reduces heat loss. High-power millimeter waves with different power and duration parameters are generated by a millimeter wave source and transmitted through a millimeter waveguide. This waveguide passes sequentially through the central through-hole reserved in the upper reaction frame 111 and the perforated force transmission pad 115, and its port can be precisely adjusted to a predetermined distance from the rock surface. The design of this unit ensures that the initial damage of the millimeter wave-induced rock fracture is formed in an environment closest to real working conditions, providing high-fidelity original damage samples for all subsequent analyses, thereby greatly improving the practical guiding significance and data reliability of the entire evaluation system.

[0081] As a further explanation of the present invention, the macroscopic damage analysis unit 200 includes a three-dimensional morphology measurement device 210 and a sample support stage 220;

[0082] The sample support stage 220 includes a support structure 221 and a light-transmitting plate 222 fixed on the support structure 221; the damaged rock sample S1 is placed on the upper surface of the light-transmitting plate 222, and the three-dimensional morphology measuring device 210 is configured to movably scan the upper surface of the damaged rock sample S1 and the lower surface of the damaged rock sample S1 through the light-transmitting plate 222 to obtain three-dimensional morphology data of the damaged area.

[0083] Reference Figure 3 This unit is used for non-contact, precise three-dimensional morphological measurement of damaged rock sample S1 formed after millimeter-wave radiation. A typical damaged rock sample S1 is as follows: Figure 3 As shown.

[0084] Specifically, see Figure 4 The three-dimensional morphology measurement device 210 is preferably a high-precision three-dimensional laser cross-section scanner. The damaged rock sample S1 is placed on a specially designed sample support stage 220, which consists of a support structure 221 such as table legs and a high-transparency, ultra-thin light-transmitting plate 222 as the core component. The light-transmitting plate 222 not only needs to have sufficient mechanical strength to support the weight of the rock sample without significant deformation, but more importantly, it has extremely high optical transmittance. During the scanning process, the three-dimensional laser cross-section scanner performs dynamic scanning above and below the sample. The upper scan directly acquires morphological features such as damage pits, melting zones, and cracks on the upper surface of the sample, while the lower scan can obtain the morphological data of the bottom surface of the sample without obstruction through the high-strength light-transmitting plate 222.

[0085] By using specialized software to precisely register and fuse the upper and lower sets of scan data, a result such as... Figure 5 The image shows a complete, seamless 3D digital model. This innovative dual-sided scanning design can completely capture all macroscopic damage features formed by millimeter-wave action, including through cracks penetrating from the sample surface to the bottom. This allows for the precise calculation of key geometric parameters such as the volume, depth, and total length of the crack network in the damaged area, achieving a comprehensive and accurate quantitative characterization of macroscopic damage morphology.

[0086] As a further explanation of the present invention, the sample preparation unit 300 includes a cutting device;

[0087] The cutting device is configured to cut the damaged rock sample S1 at different radial distances with the millimeter wave action center as a reference, to obtain the plurality of test samples S2 for characterizing the damage gradient; wherein the plurality of test samples S2 include a cylindrical sample for uniaxial compression testing, a disk sample for Brazilian splitting testing, and a cuboid sample for microscopic analysis.

[0088] Reference Figure 6 The core idea of ​​this unit is to identify and quantify the non-uniform damage gradient caused by the attenuation of millimeter-wave energy from the center of action to the periphery. Since millimeter-wave energy typically exhibits a Gaussian-like distribution, the degree of damage within the rock is not homogeneous, but rather decreases sharply from the center of action outwards. To capture this key characteristic, this system employs high-precision cutting equipment, such as a diamond wire cutter, to systematically sample the damaged rock sample S1 in zones. Using the center 'a' of the damage pit or melt patch formed by the millimeter-wave action as a reference point, sampling locations are planned radially outwards at different distances 'b', for example, dividing the area into a central zone, a near-field zone, and a far-field zone. At these predetermined locations, standard samples for different subsequent tests, i.e., multiple test samples S2, are prepared by cutting.

[0089] Specifically, cylindrical samples for uniaxial or triaxial compression tests, Brazilian split disk samples for tensile strength testing, and small-sized cuboid samples for microstructure analysis can be fabricated. This damage gradient-based sampling strategy breaks away from the traditional, crude approach of treating irradiated rock samples as homogeneous damaged bodies. It allows subsequent microscopic analysis and mechanical evaluation to precisely correspond to specific regions with different degrees of damage, providing a solid physical foundation for revealing the gradient distribution of damage and establishing the intrinsic relationship between microstructure and macroscopic mechanical properties.

[0090] As a further explanation of the present invention, the microstructure analysis unit 400 includes an electron microscopy analysis device;

[0091] The electron microscopy analysis device is configured to acquire mineral phase composition distribution maps, pore structure characteristics, and fracture network morphology data of the cuboid sample through energy dispersive spectroscopy (EDS) and backscattered electron imaging (BSE). The fracture network morphology data includes the distribution characteristics of transgranular and intergranular cracks. This unit aims to explore the intrinsic mechanism of millimeter-wave-induced cracking at the microscopic scale.

[0092] See Figure 7 Specifically, the small cuboid sample obtained from the sample preparation unit 300 undergoes standard treatments such as target preparation, polishing, and carbon spraying before being placed in an electron microscopy analysis device for analysis. This device can be an automated mineral analysis electron microscope, such as the QEMSCAN or MLA model. This device combines backscattered electron imaging (BSE) and energy-dispersive X-ray spectroscopy (EDS) techniques to automatically identify various mineral crystals within the sample's field of view and generate data such as... Figure 7 The mineral phase composition distribution diagram shown in (a) is shown in the figure; at the same time, it can accurately identify and depict the morphology, size and distribution of pores and fractures, forming a pattern such as... Figure 7 The microstructure diagram shown in (b) is illustrated. By comparing and analyzing samples from different radial distances, i.e., different damage gradients, it is possible to quantitatively reveal: whether specific minerals, such as quartz, undergo phase transformations and their proportions as they approach the millimeter-wave interaction center; how the density, length, and aperture of microcracks evolve; and the crack propagation path—whether it penetrates mineral grains to form transgranular cracks or propagates along mineral grain boundaries to form intergranular cracks—and to determine the proportional relationship between these two paths, known as trans-mineral and inter-mineral paths. This unit directly links macroscopic damage with microscopic mechanisms, elucidating the differences in the interaction between millimeter waves and different minerals, as well as the specific roles of factors such as mineral phase transformations and thermal stress in crack initiation and propagation, providing direct and quantitative evidence for a fundamental understanding of crack initiation mechanisms.

[0093] See Figure 8 and Figure 9 As a further explanation of the present invention, the mechanical evaluation unit 500 includes a triaxial pressure chamber base 510, a triaxial pressure chamber cylinder 520 mounted on the triaxial pressure chamber base 510 by fastening bolts 511, and a sealing end cap 530 that is sealed to the triaxial pressure chamber cylinder 520.

[0094] The triaxial pressure chamber cylinder 520 is internally provided with an upper pad 540 and a lower pad 550, and the test sample S2 is placed between the upper pad 540 and the lower pad 550; an outer heating coil 560 is integrated on the outer surface of the triaxial pressure chamber cylinder 520, and an inner heating tube 570 is provided inside the triaxial pressure chamber cylinder 520 and around the test sample S2; a confining pressure oil inlet and outlet 580 communicating with the test sample S2 is opened on the triaxial pressure chamber cylinder 520; a piston 590 for applying axial load is movably installed on the top of the triaxial pressure chamber cylinder 520; an axial sensor 521 and a radial sensor 522 are also integrated inside the triaxial pressure chamber cylinder 520 for measuring the deformation data of the test sample S2 during the loading process.

[0095] The sensing end of the axial sensor 521 is connected to the axial displacement transmission rod. One end of the axial displacement transmission rod is fixed to the chuck on the upper pad 540, and the other end passes through the chuck on the lower pad 550 and abuts against the sensing end of the axial sensor 521, so as to transmit the displacement of the upper pad 540 to the axial sensor 521.

[0096] The radial sensor 522 is mounted on a radial chain surrounding the side surface of the test sample S2 to measure the radial deformation data of the test sample S2 during loading.

[0097] Reference Figure 8This unit is used to quantitatively evaluate the degree of degradation of rock mechanical properties after millimeter-wave radiation, and its design can also be used to conduct tests under simulated deep-earth high-temperature and high-pressure environments. Specifically, this is a high-temperature and high-pressure rock mechanics testing system, the core of which is a triaxial pressure chamber. Test samples S2, such as cylindrical samples, obtained from different damage areas, are installed between upper pads 540 and lower pads 550, and placed in a sealed pressure chamber consisting of a triaxial pressure chamber cylinder 520 and a sealed end cap 530 fixed with fastening bolts. The sample is heated to a preset deep-earth temperature by the combined heating of an outer heating coil 560 outside the cylinder and an inner heating pipe 570 around the sample. Hydraulic oil is injected into the pressure chamber through the confining pressure oil inlet and outlet 580 connected to a booster pump, and pressure is applied to the sample to simulate the hydrostatic pressure of the formation confining pressure. Subsequently, an axial load is applied through the piston 590 of the top triaxial pressure chamber to conduct a uniaxial or triaxial compression test. During the experiment, rock axial sensors 521 (e.g., axial extensometers) and rock radial sensors 522 (e.g., radial extensometers or chain links), directly mounted on the samples, can measure the deformation data of the samples in real time and accurately, thus obtaining more accurate parameters. This unit allows for the acquisition of complete stress-strain curves of rock samples in different damaged areas under varying temperature and pressure conditions, thereby determining key mechanical parameters such as compressive strength, elastic modulus, and Poisson's ratio, and observing their failure modes. This unit configuration not only quantifies the mechanical property degradation caused by millimeter-wave fracturing but also studies the response law of this degradation under thermo-mechanical coupling environments, making the mechanical evaluation results closer to engineering practice.

[0098] As a further explanation of the present invention, the data fusion analysis unit 600 is configured as follows:

[0099] Receive the three-dimensional morphology data provided by the macroscopic damage analysis unit 200, and extract the volume and depth parameters of the thermally damaged region from it;

[0100] Receive the microstructure data and mineral composition data provided by the microstructure analysis unit 400, and identify the mineral phase transformation ratio and fracture network characteristics therefrom;

[0101] Receive the mechanical performance data provided by the mechanical evaluation unit 500, and quantify the mechanical performance degradation coefficient of different regions therefrom;

[0102] A mapping model is established between the millimeter-wave process parameters and the volume and depth parameters of the thermally damaged region, the mineral phase transformation ratio and fracture network characteristics, and the mechanical property degradation coefficient.

[0103] This unit, acting as the central brain of the entire system, typically consists of a high-performance computer and accompanying analysis software. It is responsible for integrating and analyzing multi-source, multi-scale information from all the aforementioned units. The specific workflow is as follows: First, it processes the 3D model data output by the macroscopic damage analysis unit 200, automatically calculating macroscopic damage indicators such as damage pit volume, maximum depth, and total fracture length. Next, it processes the mineral distribution and structure maps output by the microstructure analysis unit 400, quantitatively statistically analyzing microscopic characteristics such as mineral phase transformation ratios, porosity changes, fracture density, and fractal dimension in different regions. Then, it processes the mechanical test data output by the mechanical evaluation unit 500, calculating the degradation coefficients of mechanical parameters such as compressive strength and elastic modulus of samples in each region relative to the original undamaged rock sample. Finally, this unit uses the process parameters set by the initial millimeter-wave action unit 100, such as power, irradiation time, and action distance, as input variables, and all the extracted macroscopic damage indicators, microscopic characteristic indicators, and mechanical property degradation coefficients as output variables. Through advanced algorithms such as machine learning and multiple regression analysis, it establishes a quantitative mapping model between them. The design of this unit connects the entire chain from process parameters to final results, transforming discrete experimental data into predictive theoretical criteria and mathematical models. This not only profoundly reveals the inherent physical laws but can also be directly used to guide the feedback, optimization, and precise control of millimeter-wave rock breaking process parameters in actual engineering. This is the core of the invention's ultimate goal.

[0104] like Figure 10 As shown in the second embodiment of the present invention, a multi-dimensional damage mechanics evaluation method for deep-earth millimeter-wave-induced fractured rocks is proposed. Based on the aforementioned multi-dimensional damage mechanics evaluation system for deep-earth millimeter-wave-induced fractured rocks, the method includes:

[0105] Step A10: The rock sample S is subjected to millimeter-wave radiation under a simulated high temperature and high pressure environment to obtain a damaged rock sample S1.

[0106] Step A20: Scan the damaged rock sample S1 to obtain three-dimensional morphological data of the damaged area; process the damaged rock sample S1 to obtain multiple test samples S2 from different areas of the damaged rock sample S1.

[0107] Step A30: Analyze at least one of the plurality of test samples S2 to obtain microstructure data and mineral composition data;

[0108] Step A40: At least one of the multiple test samples S2 is subjected to mechanical property testing under a simulated high temperature and high pressure environment to obtain mechanical property data; a mapping model is established based on the millimeter wave process parameters, the three-dimensional morphology data, the microstructure data, the mineral composition data, and the mechanical property data.

[0109] The method of this invention provides a standardized operating procedure, ensuring the systematic nature and repeatability of data when using the aforementioned system. This method emphasizes several core principles: first, the realism of the experimental environment, i.e., conducting millimeter-wave action and mechanical testing under simulated high temperature and high pressure; second, the multidimensionality of damage analysis, covering both macroscopic three-dimensional morphology and microstructure; third, the gradient nature of mechanical evaluation, i.e., testing different damage regions separately. Ultimately, all data is used to establish a mapping model that can guide practice. The implementation of this method ensures a comprehensive and in-depth understanding of the complete damage evolution process of rocks from macroscopic to microscopic levels under specific millimeter-wave process parameters and its ultimate impact on mechanical properties, thereby forming a scientific and rigorous evaluation system.

[0110] In this embodiment, the step of processing the damaged rock sample S1 includes:

[0111] Using the millimeter-wave action center as a reference, the damaged rock sample S1 is cut and sampled at different radial distances using a cutting device to obtain multiple test samples S2 for characterizing the damage gradient. These multiple test samples S2 include a cylindrical sample for uniaxial compression testing, a disk sample for Brazilian splitting testing, and a cuboid sample for microscopic analysis. This step is a concretization of the sample processing stage in the aforementioned method, clarifying the core principle of sampling, namely, based on the damage gradient.

[0112] In practice, the center point of the millimeter wave action is first determined visually or through preliminary scanning. Then, using this center as the center, several annular regions are divided radially, such as 0-10mm, 10-20mm, and 20-30mm. Using precision machining equipment such as a wire cutter, test samples S2 of the required shape and size are drilled or cut from each annular region, and each sample is uniquely numbered, with its distance from the center recorded in detail. Multiple sample types are prepared to meet the needs of different testing projects: cylindrical samples are the standard shape for uniaxial and triaxial compression tests, used to obtain the compressive strength and deformation parameters of the rock; disc samples are used for the Brazilian splitting test to determine the tensile strength of the rock, which is crucial for assessing crack propagation capacity; and small cuboid samples are convenient for slicing and electron microscopy for detailed microstructural analysis. This refined sampling method discretizes a non-uniformly damaged rock block into a series of test samples with representative damage levels, a key prerequisite for quantitative evaluation of damage gradients.

[0113] The steps for conducting mechanical performance testing include: placing the test samples S2 obtained from different regions into the mechanical evaluation unit 500, and subjecting the test samples S2 to uniaxial compression, triaxial compression, or Brazilian splitting tests under preset temperature and confining pressure conditions simulating a deep-earth environment, in order to obtain their strength, deformation characteristics, and failure modes under different damage levels.

[0114] This step details the specific implementation of the mechanical property testing. Each test sample S2 obtained from different damage gradient regions needs to be tested within the mechanical evaluation unit 500. Before testing, the temperature and confining pressure are set and controlled using a heating and confining pressure system, based on the research objective or the simulated actual formation depth. For example, to simulate an environment 3000 meters underground, a temperature of 150 degrees Celsius and a confining pressure of 50 MPa may be set. After reaching and stabilizing the preset temperature and pressure conditions, an axial load is applied to the sample until it fails. This step yields a series of data clearly revealing the changes in mechanical properties with the degree of damage. For example, the compressive strength of a sample 5 mm from the center of the load is 80 MPa, while the compressive strength of a sample 25 mm from the center is 150 MPa. Simultaneously, the failure modes of samples in different regions are observed and recorded to determine whether they are shear failures or tensile failures, thus further understanding the impact of damage on the brittle-plastic behavior of rocks. This step completes the final verification from microscopic damage to macroscopic mechanical response, providing the core mechanical property data for establishing a reliable mapping model.

[0115] In this embodiment, step A40, namely the step of establishing the mapping model, specifically includes:

[0116] Step A41 involves analyzing and quantifying the three-dimensional morphology data, microstructure data, mineral composition data, and mechanical property data to extract multi-scale characteristic parameters that characterize the spatial distribution of macroscopic damage, the evolution of microscopic damage, and the degradation of mechanical properties.

[0117] The characteristic parameters of the macroscopic damage spatial distribution include at least the volume, maximum depth, surface area, and fractal dimension of the thermal damage region; the characteristic parameters of the microscopic damage evolution include at least the proportion of key mineral phase transformation area, the areal density, average length, orientation anisotropy index, and the proportion of transgranular and intergranular cracks; and the characteristic parameters of mechanical property degradation include at least the uniaxial compressive strength degradation coefficient, elastic modulus degradation coefficient, tensile strength degradation coefficient, and failure mode category code.

[0118] Step A42: Based on the sampling spatial location information defined by the sample preparation unit, the macroscopic, microscopic and mechanical characteristic parameters from the same radial distance or the same damage gradient region are spatially aligned and data correlated, and a multi-scale damage state vector characterizing the comprehensive damage state at that location point is fused and constructed.

[0119] Step A43: Using millimeter-wave process parameters and deep-earth environment simulation parameters as input variables, and a series of multi-scale damage state vectors obtained from experiments under different process conditions at a series of spatial locations along the radial direction as output variables, an ensemble prediction model is trained using a machine learning algorithm. This model can establish a high-dimensional nonlinear mapping from the process parameter space to the damage state feature space, and realize the synchronous prediction of a continuous damage gradient field.

[0120] Step A44: Deploy the trained integrated prediction model in the data fusion analysis unit to enable it to have bidirectional reasoning capabilities: forward prediction capability, that is, input a set of process and environmental parameters, the model outputs a predicted damage state vector sequence distributed radially, and then deduce the macroscopic morphology, microstructure gradient and mechanical performance curves.

[0121] Among them, the reverse optimization function is to preset target constraints on one or more damage state vector components in a specific spatial region according to engineering requirements, and then use an optimization algorithm to search and inverse in the process parameter space to output one or more recommended process parameter combinations that satisfy the target constraints.

[0122] In practice, the first step is to perform feature analysis and quantization as described in step A41. For macroscopic three-dimensional topographic data, the volume V of the thermal damage pit can be calculated by processing the three-dimensional laser scanning point cloud. d With maximum depth H d The surface area S of the damaged region d It can be obtained by summing the areas of a triangular mesh model. (Contour fractal dimension) D f It is a key parameter characterizing the complexity of the damage boundary, and can be calculated using the box counting method, i.e., using different side lengths. To cover the damaged boundary contour with a square mesh, the minimum number of meshes required for statistical coverage is determined. N ( In a double logarithmic coordinate system and The slope of the linear regression is D. f .

[0123] For microstructure data, mineral phase distribution maps obtained through automated mineral analysis systems (such as QEMSCAN) can be used to calculate the percentage of pixel area where a specific mineral (such as quartz) undergoes a phase transition relative to the total mineral area, thus obtaining the phase transition ratio. Rpt By binarizing and skeletonizing the backscattered electron image, the microcrack network can be identified, and the surface density can then be calculated. ρ cr (Total fracture length per unit area), average fracture length Anisotropy index of fracture orientation AI The standard deviation of all fracture orientation angles can be calculated. σ θ Quantify, AI = σ θ / 90°, the closer the value is to 1, the stronger the anisotropy. By analyzing the relative position of the fracture path and the mineral grain boundary, transgranular cracks can be statistically analyzed. R trans With intergranular cracks R inter The length ratio. For mechanical property data, the baseline mechanical parameters of the undamaged original rock need to be obtained.

[0124] For each damaged area of ​​the test sample, the uniaxial compressive strength degradation coefficient K ucs Calculated as Degradation coefficient of elastic modulus Tensile strength degradation coefficient The failure mode can be classified into "brittle tension", "brittle shear" or "ductile flow" based on the stress-strain curve morphology and the macroscopic crack mode of the sample after failure, and then coded using a unique thermal encoding.

[0125] in, To damage the uniaxial compressive strength of the rock, The uniaxial compressive strength of intact rock. To reduce the elastic modulus of damaged rocks, The elastic modulus of intact rock, To damage the tensile strength of the rock, σ represents the tensile strength of intact rock, where σ is the stress symbol, c represents compressive strength, and t represents tensile strength.

[0126] Next, the cross-scale feature fusion and vector construction described in step A42 are performed. Assuming that along the radial direction of the millimeter wave action, from the center to the periphery, is defined... m There are several analysis locations (e.g., 5mm, 15mm, 25mm, ... from the center point). For the first... j Under the experimental conditions of the first set of process parameters, the first i For each sample at a given location, all its quantized feature parameters are combined into a column vector, which constitutes the multi-scale damage state vector for that point. :

[0127] ;

[0128] in, This represents the encoded vector of the violation mode. In this way, a single experiment generates a vector containing... m An ordered set of vectors fully characterizes the spatial gradient of the damage.

[0129] Then, perform the association model training as described in step A43. (Collection) n Groups at different millimeter wave power P Irradiation time t Confining pressure σ c ,temperature T The experimental data obtained under various combinations. The input to each experiment can be represented as a vector. The outputs of all experiments constitute a three-dimensional data volume: sample index. j ×Spatial location i × Feature Dimension.

[0130] The network is trained using a multi-output machine learning model, such as a deep neural network with multiple output layers. The input layer of this network receives... The output layer is designed to output simultaneously. m Complete DSV prediction values ​​for each location point. Loss function. L The error, which needs to be considered in conjunction with the error across all locations and all feature dimensions, can be defined as: ;

[0131] in, It is the total number of features. These are weights set according to the importance of different features. The network parameters are optimized using the backpropagation algorithm, enabling the model to learn the complex mapping relationship from process conditions to the entire spatial damage field. F :X→{DSV1,DSV2,...,DSV m}

[0132] Finally, the bidirectional prediction and process optimization described in step A44 are performed. The trained model... F It is encapsulated into the software system. During forward prediction, the user inputs any set of process parameters X. new System call F (X new This will output the predicted value. m Each damage state vector can be used to further visualize the damage volume variation curve with distance, strength degradation gradient map, etc. During reverse optimization, the user first defines the engineering objective, such as: "Find the rock strength degradation coefficient within a 10mm radius of the center point." At the same time, the total damage volume Vtotal ≥5000 mm 3 The goal is to obtain process parameters with the lowest possible energy consumption (related to power and time). This objective is formalized as a constrained optimization problem:

[0133] ;

[0134] in, Let be the decision variable vector, representing the combination of process parameters to be optimized. For cost function, This is the power cost factor. For millimeter wave power, This is the time cost coefficient. Irradiation time, For the target area, Indexes the location points within the region. It is the predicted damage volume. It is the predicted uniaxial compressive strength degradation coefficient. It is the lower limit vector of process parameters. This is the upper limit vector of process parameters. The system employs global optimization algorithms such as genetic algorithms and particle swarm optimization to search within the parameter space, ultimately outputting one or more combinations of process parameters that satisfy all constraints and optimize the objective function, thus completing the intelligent inversion and recommendation from the damage target to the process solution.

[0135] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working process and related explanations of the methods described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0136] The terms “first”, “second”, etc., are used to distinguish similar objects, not to describe or indicate a specific order or sequence.

[0137] The term "comprising" or any other similar term is intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus / device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent in such process, method, article, or apparatus / device.

[0138] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

Claims

1. A multi-dimensional damage mechanics evaluation system for deep-earth millimeter-wave-induced fracturing rocks, characterized in that, include: The millimeter wave action unit (100) is configured to irradiate a rock sample (S) with millimeter waves under a simulated high temperature and high pressure environment to obtain a damaged rock sample (S1). The macroscopic damage analysis unit (200) is configured to scan the damaged rock sample (S1) to obtain three-dimensional morphological data of the damaged area; The sample preparation unit (300) is configured to process the damaged rock sample (S1) to obtain multiple test samples (S2) from different regions of the damaged rock sample (S1). The microstructure analysis unit (400) is configured to analyze at least one of the plurality of test samples (S2) to obtain microstructure data and mineral composition data; The mechanical evaluation unit (500) is configured to perform mechanical performance tests on at least one of the plurality of test samples (S2) to obtain mechanical performance data; The data fusion analysis unit (600) is connected to the macroscopic damage analysis unit (200), the microstructure analysis unit (400), and the mechanical evaluation unit (500). The data fusion analysis unit (600) is configured to establish a mapping model based on millimeter-wave process parameters, the three-dimensional morphology data, the microstructure data, the mineral composition data, and the mechanical property data. The method for establishing the mapping model is as follows: The three-dimensional morphology data, microstructure data, mineral composition data and mechanical property data are analyzed and quantified to extract multi-scale characteristic parameters that characterize the spatial distribution of macroscopic damage, the evolution of microscopic damage and the degradation of mechanical properties, respectively. Based on the sampling spatial location information defined by the sample preparation unit, the macroscopic, microscopic and mechanical characteristic parameters from the same radial distance or the same damage gradient region are spatially aligned and data correlated, and a multi-scale damage state vector characterizing the comprehensive damage state at that location point is fused and constructed. Using millimeter-wave process parameters and deep-earth environment simulation parameters as input variables, and a series of multi-scale damage state vectors obtained from experiments under different process conditions at a series of spatial locations along the radial direction as output variables, an ensemble prediction model is trained using machine learning algorithms; the ensemble prediction model can establish a high-dimensional nonlinear mapping from the process parameter space to the damage state feature space, and realize the synchronous prediction of a continuous damage gradient field. The trained integrated prediction model is deployed in the data fusion analysis unit to enable it to have bidirectional reasoning capabilities: a forward prediction function, that is, when a set of process and environmental parameters are input, the model outputs a predicted damage state vector sequence distributed radially, thereby deducing the macroscopic morphology, microstructural gradient and mechanical performance curves. Among them, the reverse optimization function is to preset target constraints on one or more damage state vector components in a specific spatial region according to engineering requirements, and then use an optimization algorithm to search and inverse in the process parameter space to output one or more recommended process parameter combinations that satisfy the target constraints.

2. The system according to claim 1, characterized in that, The millimeter-wave action unit (100) includes a true triaxial loading device (110), a heating device (120), and a millimeter-wave transmission device (130). The true triaxial loading device (110) includes a reaction frame (111), a loading cylinder (112), a sample box frame (113), a combined force transmission pad (114), and a perforated force transmission pad (115). The sample box frame (113) is used to guide and support the combined force transmission pad (114) and the perforated force transmission pad (115) to jointly define a sample chamber for accommodating the rock sample (S). Multiple loading cylinders (112) are connected to the combined force transmission pad (114) to apply pressure to the rock sample (S) from multiple directions; the perforated force transmission pad (115) is disposed within the reaction frame (111) to provide upper reaction force and has a central through hole. The heating device (120) includes a heating coil (121) surrounding the rock sample (S) and a heating back plate (122) in contact with the rock sample (S). The millimeter-wave transmission device (130) includes a millimeter-wave waveguide that passes sequentially through the central through-hole of the reaction frame (111) and the perforated force transmission pad (115) to bring the port close to the surface of the rock sample (S).

3. The system according to claim 1, characterized in that, The macroscopic damage analysis unit (200) includes a three-dimensional morphology measurement device (210) and a sample support stage (220). The sample support stage (220) includes a support structure (221) and a light-transmitting plate (222) fixed on the support structure (221); the damaged rock sample (S1) is placed on the upper surface of the light-transmitting plate (222), and the three-dimensional morphology measuring device (210) is configured to movably scan the upper surface of the damaged rock sample (S1) and the lower surface of the damaged rock sample (S1) through the light-transmitting plate (222) to obtain three-dimensional morphology data of the damaged area.

4. The system according to claim 1, characterized in that, The sample preparation unit (300) includes a cutting device; The cutting device is configured to cut the damaged rock sample (S1) at different radial distances with the millimeter wave action center as a reference, so as to obtain the plurality of test samples (S2) used to characterize the damage gradient. The plurality of test samples (S2) include a cylindrical sample for uniaxial compression testing, a disk sample for Brazilian splitting testing, and a cuboid sample for microscopic analysis.

5. The system according to claim 4, characterized in that, The microstructure analysis unit (400) includes an electron microscopy analysis device; The electron microscopy analysis device is configured to acquire the mineral phase composition distribution map, pore structure characteristics and fracture network morphology data of the cuboid sample through energy dispersive spectroscopy and backscattered electron imaging, wherein the fracture network morphology data includes the distribution characteristics of transgranular cracks and intergranular cracks.

6. The system according to claim 1, characterized in that, The mechanical evaluation unit (500) includes a triaxial pressure chamber base (510), a triaxial pressure chamber cylinder (520) mounted on the triaxial pressure chamber base (510), and a sealing end cap (530) that is sealed to the triaxial pressure chamber cylinder (520). The triaxial pressure chamber cylinder (520) is provided with an upper pad (540) and a lower pad (550) inside, and the test sample (S2) is placed between the upper pad (540) and the lower pad (550); An outer heating coil (560) is integrated on the outer surface of the triaxial pressure chamber cylinder (520), and an inner heating tube (570) is provided inside the triaxial pressure chamber cylinder (520) and around the test sample (S2). The triaxial pressure chamber cylinder (520) is provided with a confining pressure oil inlet and outlet (580) communicating with the test sample (S2); a piston (590) for applying axial load is movably mounted on the top of the triaxial pressure chamber cylinder (520). The triaxial pressure chamber cylinder (520) also integrates an axial sensor (521) and a radial sensor (522) for measuring the deformation data of the test sample (S2) during the loading process.

7. The system according to claim 1, characterized in that, The data fusion analysis unit (600) is configured as follows: Receive the three-dimensional morphology data provided by the macroscopic damage analysis unit (200), and extract the volume and depth parameters of the thermal damage region from it; Receive the microstructure data and mineral composition data provided by the microstructure analysis unit (400), and identify the mineral phase transformation ratio and fracture network characteristics therefrom; Receive the mechanical performance data provided by the mechanical evaluation unit (500), and quantify the mechanical performance degradation coefficient of different regions therefrom; A mapping model is established between the millimeter-wave process parameters and the volume and depth parameters of the thermally damaged region, the mineral phase transformation ratio and fracture network characteristics, and the mechanical property degradation coefficient.

8. A multi-dimensional damage mechanics evaluation method for deep-earth millimeter-wave-induced fractured rocks, based on the multi-dimensional damage mechanics evaluation system for deep-earth millimeter-wave-induced fractured rocks as described in any one of claims 1-7, characterized in that, The method includes: A damaged rock sample (S1) was obtained by subjecting a rock sample (S) to millimeter-wave irradiation under a simulated high temperature and high pressure environment. The damaged rock sample (S1) is scanned to obtain three-dimensional morphological data of the damaged area; The damaged rock sample (S1) is processed to obtain multiple test samples (S2) from different regions of the damaged rock sample (S1). At least one of the plurality of test samples (S2) is analyzed to obtain microstructure data and mineral composition data; Mechanical performance tests are performed on at least one of the plurality of test samples (S2) under a simulated high temperature and high pressure environment to obtain mechanical performance data; A mapping model is established based on the millimeter-wave process parameters, the three-dimensional morphology data, the microstructure data, the mineral composition data, and the mechanical property data.

9. The method according to claim 8, characterized in that, The steps for processing the damaged rock sample (S1) include: Using the millimeter wave action center as a reference, the damaged rock sample (S1) is cut and sampled at different radial distances using a cutting device to obtain multiple test samples (S2) for characterizing the damage gradient. The plurality of test samples (S2) include a cylindrical sample for uniaxial compression testing, a disk sample for Brazilian splitting testing, and a cuboid sample for microscopic analysis.

10. The method according to claim 8, characterized in that, The steps for conducting mechanical property tests include: The test samples (S2) obtained from different regions are placed in the mechanical evaluation unit (500) and subjected to uniaxial compression, triaxial compression or Brazilian splitting tests under preset temperature and confining pressure conditions simulating deep earth environment in order to obtain their strength, deformation characteristics and failure modes under different damage levels.

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