Method for evaluating complex space filling performance of flowable solidified soil and intelligent detection device

Abstract

The application discloses a kind of flow state solidified soil complex space filling performance evaluation method and intelligent detection device, belong to geotechnical engineering material performance detection and underground engineering construction technical field, evaluation method is through setting standardization test condition, make the flow state solidified soil to be measured in constant liquid level driving and low disturbance release in turn through standardization straight line restricted flow area, path turning area, obstacle flow area and blind area simulation area, collect key parameters in flowing process and calculate multidimensional evaluation index, and then obtain standardization comprehensive filling index CFIs and carry out grade division;Engineering adaptation comprehensive index CFIp can also be calculated in combination with target engineering scene parameter and output construction optimization suggestion.Intelligent detection device includes standard condition setting unit, feeding release unit, constant liquid level feeding unit, standardization flow channel unit, sensing acquisition unit, data processing unit and result output unit.The application realizes the unity of the quantification of evaluation result, the comparability and the engineering guidance.

Description

Technical Field

[0001] This invention relates to the fields of geotechnical engineering material performance testing and underground engineering construction technology, and in particular to a method and intelligent testing device for evaluating the performance of fluidized solidified soil filling complex spaces. Background Technology

[0002] Fluidized solidified soil, with its high fluidity, self-compacting properties, pumpability, and ease of construction, has been widely used in underground engineering scenarios such as deep foundation pit backfilling, municipal utility tunnel gap backfilling, underground sealed cavity filling, karst area cavity treatment, and mine goaf filling. These engineering spaces typically feature narrow, enclosed spaces, irregular boundaries, winding paths, numerous obstacles, and large areas of blind spots. Therefore, the requirements for fluidized solidified soil have shifted from evaluating its single free-flowability to evaluating its comprehensive filling capacity in complex, confined spaces.

[0003] Existing methods for testing the workability of fluidized solidified soil mainly focus on free diffusion indicators such as slump, spread, and flowability. Some methods for evaluating restricted flow also draw on simple constraint devices such as L-shaped and U-shaped instruments from the field of dense concrete, which are difficult to fully reflect complex factors such as restricted channels, path turns, flow around obstacles, blind zone filling, boundary condition control, and engineering adaptability evaluation.

[0004] Based on the above, existing methods for testing the workability of fluidized solidified soil have at least the following shortcomings: (1) Existing testing methods mainly rely on free diffusion indicators such as slump, spread, and flowability, or simple confined flow tests. The flow path and constraint form of the testing device are relatively simple, making it difficult to comprehensively simulate complex spatial filling conditions such as confined straight passage, path turning, obstacle bypass and blind zone coverage on a unified testing platform. Therefore, it is difficult to fully reflect the comprehensive filling capacity of fluidized solidified soil in complex confined spaces.

[0005] (2) Existing evaluation systems mostly use single flowability indicators or local passability indicators. A multi-dimensional quantitative evaluation system that can simultaneously characterize straight-line passability, corner passability, obstacle bypass efficiency, blind zone response efficiency and blind zone coverage has not yet been established. This makes it difficult to accurately compare and grade the actual filling performance of different slurries in complex spaces.

[0006] (3) Existing detection methods usually lack unified setting and control of boundary conditions such as liquid level, continuous feeding method, release method, channel layout and test duration. In addition, some devices are prone to additional shearing, impact vibration or human disturbance in the early stage of sample release, which affects the consistency of parallel tests and the comparability of test results.

[0007] (4) Existing technologies mostly focus on material performance testing and lack a technical route that connects the assessment of standardized complex space filling capacity with the assessment of target engineering scenarios. It is difficult to further transform test results into on-site construction suggestions such as mix ratio adjustment, liquid level control, continuous material supply, injection path and construction parameter optimization, resulting in insufficient engineering guidance. Summary of the Invention

[0008] The purpose of this invention is to provide a method and intelligent testing device for evaluating the filling performance of fluidized solidified soil in complex spaces. Under unified standard boundary conditions, the filling behavior of the fluidized solidified soil under test is tested in complex spatial conditions such as straight-line restricted flow, path turning, obstacle bypass flow, and blind zone simulation using a standardized testing device. This method obtains multi-dimensional evaluation indicators, standardized comprehensive filling index (CFIs), and the level of filling capacity in complex spaces. It can also output engineering adaptation results and construction optimization suggestions in combination with the target engineering scenario. This invention addresses the problems of existing technologies that focus on evaluating free diffusion flowability, are difficult to reflect the true filling capacity of complex confined spaces, have insufficient comparability of test results, and have limited engineering guidance.

[0009] To achieve the above objectives, this invention provides a method for evaluating the performance of fluidized solidified soil in filling complex spaces, comprising the following steps: S1. Set standardized test conditions and provide standardized test equipment. The standardized test conditions shall include at least standard constant liquid level, standard continuous feeding method, standard flow channel unit arrangement, standard release method and preset test duration. S2. Add the fluidized solidified soil sample to be tested to the feed release unit of the standardized testing device, open the outlet through the low-disturbance release component, and continuously replenish the material through the constant liquid level feeding unit to maintain the constant free liquid level of the slurry, so that the sample continuously enters the standardized flow channel unit under the action of its own weight and / or preset driving force. S3. Collect information on the flow front position, key time points, and regional filling of the sample in the standardized flow channel unit; S4. Calculate the evaluation index characterizing the complex space filling ability of the sample based on the collected data. S5. Calculate the standardized comprehensive filling index (CFIs) of the fluidized solidified soil under standardized test conditions based on the evaluation indicators, and classify the complex space filling capacity level or relative level of the fluidized solidified soil under test according to the standardized comprehensive filling index (CFIs), the results of individual evaluation indicators and / or the preset level classification rules. S6. Output the assessment results of the complex space filling capacity of the solidified fluid to be tested. The assessment results shall include at least the results of individual assessment indicators, standardized comprehensive filling index (CFIs), and the corresponding complex space filling capacity level and / or relative ranking results.

[0010] Preferably, in S2, the low-disturbance release component is a sliding door structure, a flap door structure, a flexible opening and closing door structure, or other opening and closing structures that can reduce release disturbance; the constant liquid level height is maintained by a constant liquid level feeding unit; the preset driving force includes additional gravity driving formed by the inclination angle of the flow channel arrangement and / or external auxiliary driving force; the constant liquid level feeding unit is an overflow stabilizing liquid level structure, a liquid level sensing feedback feeding structure, a constant liquid level container structure, or a combination thereof.

[0011] Preferably, in S3, the collected data includes at least one of the following parameters: First arrival time of the reference section at the end of the linear confined flow region t L ; First arrival time of the reference section at the entrance of the path turning zone t T,in ; First crossing time of the reference section at the exit of the path turning zone t T,out ; The actual time it takes for the sample to pass through the standardized path transition zone t T ,in t T = t T,out - t T,in ; First arrival time of the reference section at the inlet of the obstruction bypass region t O,in ; First crossover time of the reference section at the outlet of the obstruction bypass region t O,out ; The actual passage time of the sample through the standardized barrier flow region t O ,in t O = t O,out - t O,in ; First arrival time of the reference section at the entrance of the blind zone simulation segment t B,in ; First arrival time of the reference section of the blind zone opening t B,op ; Actual response time of the sample to the opening of the blind zone t B ,in t B = t B,op -t B,in ; Preset observation time after the sample flow front first reaches the blind zone opening reference section T At that time, the actual filling area within the standardized blind zone simulation area A f ( T ); among which, the preset observation duration T The preferred time is 60 seconds; The final coverage boundary profile formed by the sample within the preset test duration; Among them, the t L , t T,in , t T,out , t T , t O,in , t O,out , t O , t B,in , t B,op , t B , A f ( T The final coverage boundary contour can be directly acquired by the sensing acquisition unit, or calculated by the data processing unit from image information, time-series signals and contour recognition results.

[0012] All time parameters were recorded with the moment when the low-disturbance release component was fully opened as zero, and all area parameters were measured according to the top-view projected area.

[0013] Preferably, in S4, the evaluation indicators include: Straight line efficiency index K L , K L = t L,ref / t L ,in t L,ref This is a standard reference time pre-calibrated under the conditions of the same constant liquid level, the same channel cross-sectional size, and the same test distance. Turning efficiency index K T ,K T = t T,ref / t T ,in t T,ref This is a standard reference time pre-calibrated under the same constant liquid level and the same rotation module geometry. Obstacle bypass efficiency index K O , K O = t O,ref / t O ,in t O,ref This is a standard reference time pre-calibrated under the same constant liquid level and the same obstacle module geometry. Blind zone response efficiency index K B , K B =t B,ref / t B ,in t B,ref The standard reference time required to travel from the reference position at the entrance of the blind zone simulation section to the projected position of the corresponding blind zone opening, under the same constant liquid level, the same channel cross-sectional size, the same test distance, and without the additional influence of the blind zone opening; Blind spot coverage or B , or B = A f ( T ) / A 0, where A f ( T The preset observation time is the period after the flow front of the sample first reaches the reference section of the blind zone opening. T The actual filling area within the time blind zone simulation area. A 0 represents the design area of ​​the standardized blind zone simulation area; t L,ref , t T,ref , t O,ref and t B,refPreferably, the reference time is obtained by pre-calibration under preset standard reference conditions. The standard reference conditions include at least the same constant liquid level, the same release method, the same channel cross-sectional size, the same test distance, the same functional module geometric parameters, and the same data acquisition rules.

[0014] Preferably, if the sample is within the preset test duration T If the corresponding function area is not passed within 0, then the corresponding K L , K T , K O Recorded as 0; if the sample is within the preset test duration T If the reference section of the blind zone opening is reached within 0, the observation will continue for the preset observation time Δ, starting from the time of arrival. T and calculate A f (Δ T If the sample is within the preset test duration; T If the reference section of the blind zone opening is not reached within 0, then the blind zone response efficiency index... K B Recorded as 0, and blind spot coverage rate or B It is denoted as 0; where Δ T The value range is 30s-60s, preferably 60s. T The value of 0 ranges from 180s to 240s, with 240s being the preferred value.

[0015] Preferably, in S5, the weights are determined according to a preset standard. K L , K T , K O , K B and or B A weighted composite analysis was performed to obtain the standardized composite infill index (CFIs) of the tested fluidized solidified soil under standardized test conditions. The standardized composite infill index (CFIs) was calculated using the following weighted method: ; in, , , , , To preset standard weighting coefficients, Take a value of 0.05-0.20. Take a value of 0.15-0.30. Take a value of 0.15-0.30. Take a value of 0.15-0.30. Take values ​​between 0.20 and 0.40, and satisfy Σ. α i =1, i =1, 2, 3, 4, 5.

[0016] The weighting coefficients can be determined based on expert scoring, analytic hierarchy process, rule-based weighting, calibration test results, or historical engineering feedback, and are normalized so that the sum of all weighting coefficients is 1.

[0017] Preferably, the weighting coefficients of the CFIs reflect the hierarchical relationship between basic throughput capacity, throughput capacity at complex local boundaries, and final coverage capacity in blind spots. Among these, the straight-line throughput efficiency index... K L This primarily reflects basic propulsion capabilities and cornering efficiency indicators. K T and obstacle bypass efficiency index K O It primarily reflects the confined flow capacity under complex boundary conditions, and is an indicator of blind zone response efficiency. K B and blind spot coverage or B It primarily reflects the terminal filling effect. Since blind zone coverage more directly characterizes the final filling effect, blind zone coverage... or B The weight can be set to a relatively high value; since the straight line passes through the efficiency index K L It reflects the basic driving force more, and its weight can be taken as a relatively low value.

[0018] Preferably, in S6, the complex space filling capability is divided into several levels, preferably into four levels: excellent, good, qualified, and unqualified. The CFI threshold corresponding to each level is determined based on the standardized test calibration results, historical sample statistical distribution, engineering acceptance requirements, and / or target scenario adaptation requirements. When calibration test data is lacking, CFIs are used for relative comparison and ranking of complex space filling capabilities among different samples.

[0019] Preferably, the method further includes: S7, obtaining the spatial constraint parameters and / or construction boundary conditions of the target engineering scenario, and determining the engineering weight coefficients corresponding to each evaluation index based on the spatial constraint parameters and / or construction boundary conditions; and calculating the comprehensive engineering fit index CFIp of the fluidized solidified soil to be tested for the target engineering scenario by combining the evaluation index obtained in step S4 and / or the standardized comprehensive filling index CFIs obtained in step S5. The formula for calculating the Comprehensive Engineering Fit Index (CFIp) is: ; in, , , , , These correspond to the weighting coefficients of the straight-line throughput efficiency index, the corner throughput efficiency index, the obstacle bypass throughput efficiency index, the blind spot response efficiency index, and the blind spot coverage rate, respectively, and satisfy Σ oh i =1, i =1, 2, 3, 4, 5.

[0020] Unlike CFIs, the weighting coefficients of CFIp are mainly determined based on the control boundary characteristics of the target engineering scenario. Specifically, weights can be assigned based on one or more of the following factors: restricted width and channel elongation, length of the most unfavorable filling path, number and angle of path turns, number and location of obstacles, blind zone area ratio, blind zone opening size, local closure degree, local elevation difference, and main risk locations of the target engineering scenario.

[0021] Preferably, the engineering adaptation weights reflect the principle of prioritizing scenario-driven constraints, that is, increasing the weights of corresponding indicators based on the most prominent spatial control characteristics of the target project. For example, in a narrow path scenario, the straight-line passage efficiency indicator can be increased. K L Weighting and improving corner-crossing efficiency in scenarios with winding paths can enhance the overall efficiency of corner-crossing. K T Weighting, in scenarios with significant obstacle occlusion, can improve the efficiency index of obstacle bypass. K O Weighting, a large blind zone percentage, or blind zone access to difficult scenarios can improve the blind zone response efficiency index. K B and / or blind spot coverage or B Weights. The engineering weight coefficients can be determined based on expert scoring, analytic hierarchy process, rule-based weighting, historical engineering cases, and / or adaptive evaluation results, and are normalized so that the sum of all weight coefficients is 1.

[0022] Preferably, the target engineering scenario is a complex confined space characterized by one or more of the following: narrow and enclosed, irregularly shaped boundaries, tortuous paths, obstruction by obstacles, and / or a large proportion of blind spots. The complex confined space includes one or more of the following: deep foundation pits and trenches, side or bottom gaps in municipal integrated pipe corridors, underground sealed cavities, karst cavities, mined-out areas, and areas difficult to fill beneath structural components. The spatial constraint parameters of the target engineering scenario can be obtained through on-site surveying, extraction from design drawings, 3D scanning, geological exploration, or other survey methods. The spatial constraint parameters include at least one of the following: confined width, length of the most unfavorable filling path, number and angle of path turns, number and location of obstacles, proportion of blind spot area, size of blind spot opening, degree of local closure, and local elevation difference. The engineering weight coefficient is determined based on the control boundary characteristics of the target engineering scenario. These control boundary characteristics can be obtained by parametric abstraction of the spatial constraint parameters to enhance the guidance of the evaluation results for actual engineering projects.

[0023] Preferably, in S7, the method further includes outputting construction optimization suggestions based on at least one parameter among the standardized comprehensive filling index (CFIs), the engineering adaptation comprehensive index (CFIp), the results of individual evaluation indicators, and the complex space filling capacity level; wherein, a standardized comprehensive control threshold is preset. Cs Engineering adaptation control threshold Cp Target complex space filling capability level G 0, and K L , K T , K O , K B and or B The corresponding individual control thresholds K L,min , K T,min , K O,min , K B,min and or B,min The data processing unit compares the above parameters with the corresponding thresholds or target requirements, and determines construction optimization suggestions based on the type of parameter that does not meet the requirements.

[0024] when CFIs Below Cs When the test results indicate that the overall complex space-filling capacity of the tested fluidized solidified soil is insufficient under standardized test conditions, at least one suggestion is provided to adjust the mix proportion, moisture content, admixture dosage, constant liquid level, or continuous feed rate. CFIP Below CpWhen the system is deemed insufficiently adaptable to the target engineering scenario, it outputs suggestions for adjusting at least one of the following: inlet spacing, inlet sequence, segmented pouring length, pumping parameters, inlet path elevation conditions, or auxiliary drive method; when the complex space filling capacity level is lower than G When the threshold is 0, construction optimization suggestions are determined by combining individual evaluation indicators that are below the corresponding control threshold.

[0025] when K L Below K L,min At that time, it was determined that the basic propulsion capability was insufficient; when K T Below K T,min At that time, the ability to handle path turns is insufficient; when K O Below K O,min When the obstacle bypass capacity is insufficient, it is determined that the flow around the obstacle is insufficient; when K B Below K B,min When the blind spot opening response capability is insufficient, it is determined that the blind spot opening capability is insufficient; when or B Below or B,min If the blind zone coverage is insufficient, the data processing unit will output at least one suggestion based on the above judgment results: increase the driving head, improve the fluidity or plasticity of the slurry, optimize the grouting path, adjust the grouting sequence, shorten the grouting port spacing, increase the number of grouting points, extend the local continuous material supply time, or adjust the local driving conditions. When multiple individual indicators are simultaneously lower than the corresponding control threshold, the priority of the construction optimization suggestions will be determined according to the degree of deviation of each indicator from the corresponding control threshold.

[0026] Construction optimization suggestions can be based on the standardized comprehensive filling index. CFIs Engineering Adaptability Comprehensive Index CFIP One or more of the following can be determined: the results of individual evaluation indicators and the level of complex space filling capability, in order to achieve synergistic optimization of material design parameters, injection process parameters and driving boundary conditions.

[0027] This invention also provides an intelligent detection device for complex spaces in fluidized solidified soil, applied to the above-mentioned method for evaluating the filling performance of complex spaces in fluidized solidified soil, comprising: The standard condition setting unit is used to set standardized test conditions; The feed release unit is used to contain the fluidized solidified soil sample to be tested and to open the discharge port through a low-disturbance release component. A constant liquid level feeding unit is used to continuously replenish the feed release unit and maintain a constant free liquid level of the slurry; The standardized flow channel unit includes a standardized straight-line restricted flow area, a standardized path turning area, a standardized obstacle bypass area, and a standardized blind zone simulation area connected in sequence. The sensing and acquisition unit is used to acquire the flow position, time parameters, and area filling information of the sample within the standardized flow channel unit. The data processing unit is used to calculate the infill capacity assessment index, the standardized comprehensive infill index (CFIs), and the engineering adaptability comprehensive index (CFIp), and to generate the grade determination results and construction optimization suggestions. The results output unit is used to output evaluation results and optimization suggestions.

[0028] The intelligent detection device is preferably used to conduct standardized, automated, and quantitative evaluation of the complex space-filling capacity of different fluidized solidified soil materials under unified standardized testing conditions.

[0029] Preferably, the standardized flow channel unit is a standardized modular structure, including a straight-line restricted channel module, a corner channel module, an obstacle simulation module, and a blind spot simulation module; the modules are detachably connected, and the size and / or angle of each module are selected from a preset standard setting; the preset standard setting is used to realize parameterized combinations of different complex spatial features, so as to achieve repeatable construction under different test conditions while maintaining standardization.

[0030] Preferably, the structural parameters of the standardized flow channel unit are limited as follows: channel width of 120mm, channel height of 60mm, standardized straight-line confined flow zone design length of 500mm, standardized path turning zone design length of 250mm, standardized obstacle bypass zone design length of 250mm, and standardized blind zone simulation area design area of ​​22000mm². 2 .

[0031] Preferably, the feeding and releasing unit includes a hopper structure and a low-disturbance releasing component; the low-disturbance releasing component is a sliding door structure, a flap door structure, a flexible opening and closing door structure, or other opening and closing structures that can reduce release disturbance; the constant liquid level feeding unit includes an overflow stabilizing liquid level structure, a liquid level sensing feedback feeding structure, a constant liquid level container structure, or a combination thereof; the structural height difference between the liquid level control reference height of the constant liquid level feeding unit and the reference surface of the discharge port is 150mm; the standardized flow channel unit is installed on a horizontal support mechanism or an adjustable tilt support mechanism; the blind zone simulation module includes a blind zone opening connected to the main flow channel and a semi-enclosed blind zone cavity located outside the blind zone opening.

[0032] Preferably, the sidewalls of the standardized flow channel unit are at least partially transparent and are provided with length scales, area scales, and / or area markings; the sensing and acquisition unit includes one or more of an image acquisition component, a liquid level recognition component, a position information recognition component, a time recording component, and a laser contour scanning component; the image acquisition component is used to extract information on the position of the flow front, the coverage boundary contour, and the area filling range; the time recording component is used to record key time nodes when the flow front reaches the reference section, passes through the feature region, and reaches the reference section of the blind zone opening.

[0033] Preferably, the data processing unit is configured as follows: The system automatically identifies the position of the flow front of the sample based on the image information and / or time-series signals acquired by the sensor acquisition unit; calculates the straight-line passing efficiency index, corner passing efficiency index, obstacle bypass passing efficiency index, blind zone response efficiency index, and blind zone coverage rate; calculates the standardized comprehensive filling index (CFIs) according to preset standard weights, and outputs the result of the complex space filling capability level judgment; when the spatial constraint parameters and / or construction boundary conditions of the target engineering scenario are input, the system calculates the engineering adaptation comprehensive index (CFIp) in combination with the corresponding engineering weight coefficients, and outputs the engineering adaptation result and construction optimization suggestions. The data processing unit is also configured to automatically extract data based on image information, timing signals, and contour scanning results. t L , t T,in , t T,out , t T , t O,in , t O,out , t O , t B,in , t B,op , t B , A f ( T ) and one or more basic parameters in the final covered boundary contour.

[0034] Preferably, the result output unit includes one or more of a display module, a data storage module, a communication module, and an alarm prompting module, used to output filling capacity assessment results, standardized comprehensive filling index (CFIs), engineering adaptability comprehensive index (CFIp), complex space filling capacity level, engineering adaptability results, construction optimization suggestions, and mix ratio adjustment, pumping parameter adjustment, grouting path adjustment, and / or driving condition adjustment.

[0035] Therefore, the beneficial effects of the present invention using the above-mentioned performance evaluation method and intelligent detection device for complex space filling of fluidized solidified soil are as follows: (1) This invention addresses the flow characteristics of narrow and enclosed spaces, tortuous paths, obstruction, and large blind areas in complex confined spaces. It constructs a filling performance evaluation method suitable for complex space conditions and realizes the combined simulation of complex working conditions such as confined straight passage, path turning, obstruction flow, and blind area coverage on the same test platform through standardized flow channel units. This method can more comprehensively reflect the comprehensive filling capacity of fluidized solidified soil in complex spaces than existing free diffusion or simple confined flow tests.

[0036] (2) The present invention establishes a multi-dimensional quantitative evaluation system including straight-line throughput efficiency index, corner throughput efficiency index, obstacle bypass throughput efficiency index, blind zone response efficiency index and blind zone coverage rate. Based on the above indicators, a standardized comprehensive filling index is calculated, which can comprehensively evaluate the filling performance of fluidized solidified soil from the aspects of process throughput capacity, local complex boundary adaptability and blind zone final coverage capacity, and overcome the one-sidedness of the evaluation caused by the existing technology relying only on a single flowability index or local throughput index.

[0037] (3) The present invention maintains a standard constant liquid level height by using a constant liquid level feeding unit and uses a low disturbance release component to control the sample to enter the standardized flow channel unit. This can reduce the test deviation caused by liquid level fluctuation, difference in feeding method, inconsistent driving boundary and additional shear, impact vibration or human disturbance in the early stage of release between different tests, thereby improving the consistency of parallel tests, the stability of test results and the standardization and comparability of evaluation results of different samples.

[0038] (4) Based on the standardized assessment of the ability to fill complex spaces, this invention can also calculate the comprehensive engineering adaptation index by combining the spatial constraint parameters and / or construction boundary conditions of the target engineering scenario, and output the corresponding engineering adaptation results and construction optimization suggestions. This will help to further transform the laboratory test results into on-site construction decision-making basis such as material mix ratio adjustment, liquid level control height adjustment, continuous feeding rate optimization, grouting path optimization and related construction parameter correction, thereby improving the engineering guidance value of the test results.

[0039] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0040] Figure 1 This is a schematic front view of the overall structure of an embodiment of the intelligent detection device for complex spaces of fluidized solidified soil according to the present invention; Figure 2 This is a top view schematic diagram of the overall structure of an embodiment of the intelligent detection device for complex spaces of fluidized solidified soil according to the present invention; Figure 3 This is a flowchart illustrating the method for evaluating the performance of fluidized solidified soil in filling complex spaces according to the present invention. Figure 4 This is a schematic diagram of the sensing acquisition and data processing flow of the present invention; Figure 5 This is a diagram illustrating the definitions of each evaluation indicator. Detailed Implementation

[0041] The technical solution of the present invention will be further described below with reference to the accompanying drawings and embodiments.

[0042] Example 1: like Figure 1 and Figure 2 As shown, the present invention provides an intelligent detection device for complex spaces containing fluidized solidified soil, comprising: The standard condition setting unit is used to set the standard constant liquid level height, standard continuous feeding mode, standard flow channel unit layout status, standard release mode, and preset test duration. The feed release unit is used to contain the fluidized solidified soil sample to be tested and to open the discharge port through a low-disturbance release component. A constant liquid level feeding unit is used to continuously replenish the feeding and releasing unit and maintain the free liquid level of the slurry at a constant or approximately constant level. A standardized flow channel unit, comprising a standardized straight-line restricted flow area, a standardized path turning area, a standardized obstacle bypass area, and a standardized blind zone simulation area; The sensing and acquisition unit is used to acquire the flow position, time parameters, and area filling information of the sample within the standardized flow channel unit. The data processing unit is used to calculate the filling capacity evaluation index based on the data acquired by the sensing and acquisition unit, and generate a standardized comprehensive filling index and a complex space filling capacity level judgment result. The result output unit is used to output the filling capability evaluation results.

[0043] Intelligent testing devices are preferred for the standardized, automated, and quantitative evaluation of the complex space-filling capacity of different fluidized solidified soil materials under uniform and standardized testing conditions.

[0044] The standardized flow channel unit is a standardized modular structure, including a straight-line restricted channel module, a corner channel module, an obstacle simulation module, and a blind spot simulation module. The modules are detachably connected, and the size and / or angle of each module are selected from a preset standard setting. The preset standard setting is used to realize parameterized combinations of different complex spatial features so as to achieve repeatable construction under different test conditions while maintaining standardization.

[0045] The structural parameters of the standardized flow channel unit are limited as follows: channel width is 120mm, channel height is 60mm, the design length of the standardized straight-line confined flow zone is 500mm, the design length of the standardized path turning zone is 250mm, the design length of the standardized obstacle bypass zone is 250mm, and the design area of ​​the standardized blind zone simulation zone is 22000mm². 2 .

[0046] The feeding and releasing unit includes a hopper structure and a low-disturbance releasing component; the low-disturbance releasing component is a sliding door structure, a flap door structure, a flexible opening and closing door structure, or other opening and closing structures that can reduce release disturbance; the constant liquid level feeding unit includes an overflow stabilizing liquid level structure, a liquid level sensing feedback feeding structure, a constant liquid level container structure, or a combination thereof; the structural height difference between the liquid level control reference height of the constant liquid level feeding unit and the reference surface of the discharge port is 150mm; the standardized flow channel unit is installed on a horizontal support mechanism or an adjustable tilt support mechanism; the blind zone simulation module includes a blind zone opening connected to the main flow channel and a semi-enclosed blind zone cavity located outside the blind zone opening.

[0047] The sidewalls of the standardized flow channel unit are at least partially transparent and are provided with length scales, area scales, and / or region markings; the sensing and acquisition unit includes one or more of an image acquisition component, a liquid level recognition component, a position information recognition component, a time recording component, and a laser contour scanning component; the image acquisition component is used to extract information on the position of the flow front, the coverage boundary contour, and the region filling range; the time recording component is used to record key time points when the flow front reaches the reference section, passes through the feature region, and reaches the reference section of the blind zone opening.

[0048] The data processing unit is configured as follows: The system automatically identifies the position of the flow front of the sample based on image information and / or time-series signals acquired by the sensor acquisition unit; calculates the straight-line passing efficiency index, corner passing efficiency index, obstacle bypass passing efficiency index, blind zone response efficiency index, and blind zone coverage rate; calculates the standardized comprehensive filling index (CFIs) according to preset standard weights, and outputs the judgment result of the complex space filling capability level; when the spatial constraint parameters and / or construction boundary conditions of the target engineering scenario are input, the system calculates the engineering adaptation comprehensive index (CFIp) in combination with the corresponding engineering weight coefficients, and outputs the engineering adaptation results and construction optimization suggestions. The data processing unit is also configured to automatically extract data based on image information, timing signals, and contour scanning results. t L , t T,in , t T,out , t T , tO,in , t O,out , t O , t B,in , t B,op , t B , A f ( T ) and one or more basic parameters in the final covered boundary contour.

[0049] The result output unit includes one or more of the following modules: display module, data storage module, communication module, and alarm prompt module. It is used to output the filling capacity assessment results, standardized comprehensive filling index (CFIs), engineering adaptability comprehensive index (CFIp), complex space filling capacity level, engineering adaptability results, construction optimization suggestions, and mix ratio adjustment, pumping parameter adjustment, grouting path adjustment, and / or drive condition adjustment.

[0050] like Figure 3 and Figure 4 As shown, this invention provides a method and intelligent detection device for evaluating the performance of fluidized solidified soil in complex spaces, including the following steps: S1. Set standardized test conditions and provide standardized test equipment. The standardized test conditions shall include at least a standard constant liquid level, a standard continuous feeding method, a standard flow channel unit arrangement, a standard release method, and a preset test duration.

[0051] like Figure 5 As shown, the standardized flow channel unit includes a standardized straight-line confined flow region, a standardized path turning region, a standardized obstacle bypass region, and a standardized blind zone simulation region; the channel width is 120mm, the channel height is 60mm, and the design length of the standardized straight-line confined flow region is... L a0 The standardized path turning zone design length is 500mm. L b0 The standardized obstacle bypass zone design length is 250mm. L c0 The standardized blind zone simulation area A0 is 22000 mm², with a diameter of 250 mm². 2 .

[0052] S2. The sample of the solidified fluid to be tested is added to the feed release unit of the standardized testing device. The discharge port is opened by the low-disturbance release component, and the constant liquid level feed unit continuously replenishes the material to maintain the constant free liquid level of the slurry, so that the sample continuously enters the standardized flow channel unit under the action of its own weight and / or preset driving force.

[0053] The low-disturbance release component is a sliding door structure, a flap door structure, a flexible opening and closing door structure, or other opening and closing structures that can reduce release disturbance; the constant liquid level height is maintained by a constant liquid level feeding unit; the preset driving force includes additional gravity driving formed by the inclination angle of the flow channel arrangement and / or external auxiliary driving force; the constant liquid level feeding unit is an overflow stabilizing liquid level structure, a liquid level sensing feedback feeding structure, a constant liquid level container structure, or a combination thereof.

[0054] S3. Collect information on the flow front position, key time points, and regional filling of the sample in the standardized flow channel unit.

[0055] The collected data includes at least one of the following parameters: First arrival time of the reference section at the end of the linear confined flow region t L ; First arrival time of the reference section at the entrance of the path turning zone t T,in ; First crossing time of the reference section at the exit of the path turning zone t T,out ; The actual time it takes for the sample to pass through the standardized path transition zone t T ,in t T = t T,out - t T,in ; First arrival time of the reference section at the inlet of the obstruction bypass region t O,in ; First crossover time of the reference section at the outlet of the obstruction bypass region t O,out ; The actual passage time of the sample through the standardized barrier flow region t O ,in t O = t O,out - t O,in ; First arrival time of the reference section at the entrance of the blind zone simulation segment t B,in ; First arrival time of the reference section of the blind zone opening t B,op ; Actual response time of the sample to the opening of the blind zone tB ,in t B = t B,op - t B,in ; Preset observation time after the sample flow front first reaches the blind zone opening reference section T At that time, the actual filling area within the standardized blind zone simulation area A f ( T ); among which, the preset observation duration T The preferred time is 60 seconds; The final coverage boundary profile formed by the sample within the preset test duration; All time parameters were recorded with the moment when the low-disturbance release component was fully opened as zero, and all area parameters were measured according to the top-view projected area.

[0056] S4. Calculate the evaluation index that characterizes the complex space filling ability of the sample based on the collected data.

[0057] Evaluation indicators include: Straight line efficiency index K L , K L = t L,ref / t L ,in t L,ref This is a standard reference time pre-calibrated under the conditions of the same constant liquid level, the same channel cross-sectional size, and the same test distance. Turning efficiency index K T , K T = t T,ref / t T ,in t T,ref This is a standard reference time pre-calibrated under the same constant liquid level and the same rotation module geometry. Obstacle bypass efficiency index K O , K O = t O,ref / t O ,in tO,ref This is a standard reference time pre-calibrated under the same constant liquid level and the same obstacle module geometry. Blind zone response efficiency index K B , K B = t B,ref / t B ,in t B,ref The standard reference time required to travel from the reference position at the entrance of the blind zone simulation section to the projected position of the corresponding blind zone opening, under the same constant liquid level, the same channel cross-sectional size, the same test distance, and without the additional influence of the blind zone opening; Blind spot coverage or B , or B = A f ( T ) / A 0, where A f ( T The preset observation time is the period after the flow front of the sample first reaches the reference section of the blind zone opening. T The actual filling area within the time blind zone simulation area. A 0 represents the design area of ​​the standardized blind zone simulation area; t L,ref , t T,ref , t O,ref and t B,ref Preferably, the standard reference time is obtained by pre-calibration in a reference channel after removing the corresponding additional hindrance configuration, under the conditions of the same constant liquid level, the same channel cross-sectional size, and the same test distance.

[0058] If the sample is within the preset test duration T If the corresponding function area is not passed within 0, then the corresponding K L , K T , K O Recorded as 0; if the sample is within the preset test duration T If the reference section of the blind zone opening is reached within 0, the observation will continue for the preset observation time Δ, starting from the time of arrival. T and calculate A f(Δ T If the sample is within the preset test duration; T If the reference section of the blind zone opening is not reached within 0, then the blind zone response efficiency index... K B Recorded as 0, and blind spot coverage rate or B It is denoted as 0; in this embodiment, Δ T It lasts for 60 seconds. T 0 represents 240 seconds.

[0059] S5. Calculate the standardized comprehensive filling index (CFIs) of the fluidized solidified soil under standardized test conditions based on the evaluation indicators, and classify or determine the relative level of the complex space filling capacity of the fluidized solidified soil under test according to the standardized comprehensive filling index (CFIs), the results of individual evaluation indicators and / or the preset grading rules.

[0060] According to the preset standard weights K L , K T , K O , K B and or B A weighted composite analysis was performed to obtain the standardized composite infill index (CFIs) of the tested fluidized solidified soil under standardized test conditions. The standardized composite infill index (CFIs) was calculated using the following weighted method: in, , , , , To preset standard weighting coefficients, Take a value of 0.05-0.20. Take a value of 0.15-0.30. Take a value of 0.15-0.30. Take a value of 0.15-0.30. Take values ​​between 0.20 and 0.40, and satisfy Σ. α i =1, i =1, 2, 3, 4, 5.

[0061] S6. Output the assessment results of the complex space filling capacity of the solidified fluid to be tested. The assessment results shall include at least the results of individual assessment indicators, standardized comprehensive filling index (CFIs), and the corresponding complex space filling capacity level and / or relative ranking results.

[0062] Complex space filling capability is divided into several levels, with the preferred level being divided into four levels: excellent, good, qualified, and unqualified. The CFI threshold corresponding to each level is determined based on the standardized test calibration results, historical sample statistical distribution, engineering acceptance requirements, and / or target scenario adaptation needs. In the absence of calibration test data, CFIs are used for relative comparison and ranking of complex space filling capabilities among different samples.

[0063] S7. Obtain the spatial constraint parameters and / or construction boundary conditions of the target engineering scenario, and determine the engineering weight coefficients corresponding to each evaluation index based on the spatial constraint parameters and / or construction boundary conditions; combine the evaluation indexes obtained in step S4 and / or the standardized comprehensive filling index (CFIs) obtained in step S5 to calculate the engineering fit comprehensive index (CFIp) of the fluidized solidified soil to be tested for the target engineering scenario; output construction optimization suggestions based on at least one parameter among the standardized comprehensive filling index (CFIs), the engineering fit comprehensive index (CFIp), the results of individual evaluation indicators, and the level of complex space filling capacity.

[0064] Based on the above technical solution, this embodiment selects a deep foundation pit backfilling scenario as the target project background. This scenario features a long and narrow backfill space with localized obstructions from supporting structures. The grouting path includes turning sections, obstacle bypass sections, and lateral blind zones, making it a typical complex confined space. According to the site's spatial characteristics, this scenario is parameterized and abstracted into four continuously connected modules: a standardized straight-line confined flow area, a standardized path turning area, a standardized obstacle bypass area, and a standardized blind zone simulation area. These modules are used for subsequent standardized testing and engineering adaptation evaluation.

[0065] In this embodiment, a fluidized solidified soil sample numbered A-1 was used for testing. The height difference between the liquid level control reference height and the outlet reference surface was set to 150 mm, the release method was a low-disturbance release via a sliding door, and the preset test duration was [not specified]. T 0 represents 240 seconds, and the blind zone coverage observation time Δ T The time is set to 60 seconds to ensure that the sample has sufficient time to observe the blind zone coverage behavior after passing through the first three functional zones; the above time parameters are parameters of the preferred embodiment and do not constitute a limitation on the scope of protection of the present invention.

[0066] The standardized flow channel width is 120mm and the height is 60mm. The design length of the linear confined flow zone is... L a0 The standardized path turning zone design length is 500mm. L b0 The standardized obstacle bypass zone design length is 250mm. L c0 The standardized blind zone simulation area is 250mm. A 0 is 22000mm 2During the test, the liquid level in the silo was kept constant by a constant liquid level feeding unit, and the position of the flow front and key time parameters of the sample were acquired simultaneously by an image acquisition component and a time recording component.

[0067] To facilitate the calculation of various efficiency indicators, this embodiment uses the pre-calibrated standard reference time as follows: Standard reference time for the straight line to pass through. t L,ref =7s, turning time through the standard reference. t T,ref =10s, standard reference time for obstacle bypass flow t O,ref =14s, blind zone response standard reference time t B,ref =11s.

[0068] After sensing and data processing, the following basic parameters were obtained: the time it takes for the flow front of the sample to first reach the reference section at the end of the linearly confined flow region. t L =8s; Time to first reach the reference section at the entrance of the path turning zone t T,in =8s, the time to first cross the exit reference section of the path turning zone. t T,out =20s, therefore the actual time to pass through the corner t T =12s; Time to first reach the reference section at the entrance of the obstacle bypass region. t O,in =20s, the time it takes to first cross the reference section at the outlet of the flow around the obstacle. t O,out =38s, therefore the actual time for the flow to bypass the obstacle is 38s. t O =18s; Time to first reach the reference section at the entrance of the blind zone simulation segment t B,in =38s, the time to first reach the reference section of the blind zone opening. t B,op =52s, therefore the actual response time of the blind zone opening is 52s. t B =14s. The actual filling area within the simulated blind zone 60s after the sample flow front first reaches the reference section of the blind zone opening. A f (Δ T )=18300mm 2 .

[0069] According to the evaluation index calculation method of the present invention, the following can be obtained: (1) Straight line efficiency index: K L =t L,ref / t L =7 / 8=0.875; (2) Turning efficiency index: K T = t T,ref / t T =10 / 12=0.833; (3) Efficiency index of obstruction bypass flow: K O = t O,ref / t O =14 / 18=0.778; (4) Blind zone response efficiency index: K B = t B,ref / t B =11 / 14=0.786; (5) Blind spot coverage rate: or B = A f ( T ) / A 0 = 18300 / 22000 = 0.832; In this embodiment, under the same standardized testing conditions and the same evaluation purpose, the weighting coefficients of the standardized comprehensive filling index (CFIs) are kept consistent to ensure the comparability of evaluation results between different samples. The preset standard weighting coefficients are... α 1 = 0.10 α 2 = 0.20, α 3 = 0.20 α 4 = 0.20 α If 5 = 0.30, then the standardized composite fill index (CFIs) is: CFIs=0.10×0.875+0.20×0.833+0.20×0.778+0.20×0.786+0.30×0.832=0.0875+0.1666+0.1556+0.1572+0.2496=0.8165; In this embodiment, the standardized composite fill index (CFIs) of sample A-1 is 0.8165, indicating that it has a high comprehensive filling capability in complex spaces under uniform standardized test conditions. If a preset exemplary classification rule is used, it can be classified into a higher level. This result shows that the sample can quickly pass through straight lines, corners, and obstacle functional areas under constant liquid level conditions, and form a high coverage rate in a short time after reaching the blind zone opening, demonstrating good adaptability to complex spaces.

[0070] Furthermore, considering a specific deep foundation pit and trench scenario, and taking into account that this scenario is more sensitive to blind zone coverage and blind zone opening response capabilities, an engineering weighting coefficient is set as follows: oh 1 = 0.10 oh 2 = 0.20, oh 3 = 0.15 oh 4 = 0.20 oh If 5 = 0.35, then the Comprehensive Engineering Fit Index (CFIp) is: CFIp=0.10×0.875+0.20×0.833+0.15×0.778+0.20×0.786+0.35×0.832=0.0875+0.1666+0.1167+0.1572+0.2912=0.8192; Therefore, it can be determined that, under the set target deep foundation pit and trench scenario and the corresponding engineering weight coefficient, sample A-1 has good overall applicability to the target engineering scenario.

[0071] Based on the evaluation results of this invention, the following construction optimization suggestions can be proposed: While maintaining the current mix proportions essentially unchanged, further optimize the liquid level control height, injection port spacing, and pumping parameters to improve obstacle bypass efficiency and blind zone coverage. Through the above evaluation-adaptation-optimization closed loop, a basis can be provided for the material selection and construction parameter design of fluidized solidified soil in complex underground engineering scenarios.

[0072] Example 2: This embodiment also selects a deep foundation pit backfilling scenario as the target project background, and adopts the same standardized flow channel structure as in Embodiment 1, including four continuously connected modules: a standardized straight-line confined flow zone, a standardized path turning zone, a standardized obstacle bypass zone, and a standardized blind zone simulation zone. The standardized flow channel is 120mm wide and 60mm high, and the designed length of the standardized straight-line confined flow zone is... L a0 The standardized path turning zone design length is 500mm. L b0 The standardized obstacle bypass zone design length is 250mm. L c0The standardized blind zone simulation area is 250mm. A 0 is 22000mm 2 The height difference between the liquid level control reference height and the discharge port reference surface remains 150mm. The release method is a low-disturbance release via a sliding door, with a preset test duration. T 0 represents 240 seconds, and the blind zone coverage observation time Δ T It lasts for 60 seconds.

[0073] This embodiment uses the pre-calibrated standard reference time as follows: Standard reference time for straight line passage. t L,ref =7s, turning time through the standard reference. t T,ref =10s, standard reference time for obstacle bypass flow t O,ref =14s, blind zone response standard reference time t B,ref =11s.

[0074] After sensing and data processing, the following basic parameters were obtained: the time it takes for the flow front of the sample to first reach the reference section at the end of the linearly confined flow region. t L =9s; Time to first reach the reference section at the entrance of the path turning zone t T,in =9s, the time to first cross the exit reference section of the path turning zone. t T,out =25s, therefore the actual time to pass through the corner t T =16s; Time to first reach the reference section at the entrance of the obstacle bypass region. t O,in =25s, the time it takes to first cross the reference section at the outlet of the flow around the obstacle. t O,out =51s, therefore the actual time for the flow to bypass the obstacle is 51s. t O =26s; Time to first reach the reference section at the entrance of the blind zone simulation segment t B,in =51s, the time to first reach the reference section of the blind zone opening. t B,op =83s, therefore the actual response time of the blind zone opening is 83s. t B =32s. The actual filling area within the simulated blind zone 60s after the sample flow front first reaches the reference section of the blind zone opening. A f (Δ T )=7600mm 2 .

[0075] According to the evaluation index calculation method of the present invention, the following can be obtained: (1) Straight line efficiency index: K L = t L,ref / t L =7 / 9=0.778; (2) Turning efficiency index: K T = t T,ref / t T =10 / 16=0.625; (3) Efficiency index of obstruction bypass flow: K O = t O,ref / t O =14 / 26=0.538; (4) Blind zone response efficiency index: K B = t B,ref / t B =11 / 32=0.344; (5) Blind spot coverage rate: or B = A f ( T ) / A 0 = 7600 / 22000 = 0.345; In this embodiment, under the same standardized testing conditions and the same evaluation purpose, the weighting coefficients of the standardized comprehensive filling index (CFIs) are kept consistent to ensure the comparability of evaluation results between different samples. The preset standard weighting coefficients are... α 1 = 0.10 α 2 = 0.20, α 3 = 0.20 α 4 = 0.20 α If 5 = 0.30, then the standardized composite fill index (CFIs) is: CFIs=0.10×0.778+0.20×0.625+0.20×0.538+0.20×0.344+0.30×0.345=0.0778+0.1250+0.1076+0.0688+0.1035=0.4827; In this embodiment, the standardized composite filling index (CFIs) of sample A-2 is 0.4827, which is significantly lower than that of Example 1, indicating that its overall complex space-filling ability is relatively weak. If a preset exemplary grading rule is used, it can be classified as medium or low grade.

[0076] The results show that although the sample can pass through straight lines, corners and obstacle functional areas under constant liquid level conditions and can reach the blind zone opening, its obstacle flow efficiency, blind zone response efficiency and blind zone coverage are significantly lower than those of Example 1. This indicates that the sample's continuous propulsion ability and lateral blind zone filling ability after complex boundary action are insufficient, especially manifested in the slow response to the blind zone opening and the low blind zone coverage area formed within 60 seconds after reaching the opening.

[0077] Furthermore, considering a specific deep foundation pit and trench scenario, and taking into account that this scenario is more sensitive to blind zone coverage and blind zone opening response capabilities, an engineering weighting coefficient is set as follows: oh 1 = 0.10 oh 2 = 0.20, oh 3 = 0.15 oh 4 = 0.20 oh If 5 = 0.35, then the Comprehensive Engineering Fit Index (CFIp) is: CFIp=0.10×0.778+0.20×0.625+0.15×0.538+0.20×0.344+0.35×0.345=0.0778+0.1250+0.0807+0.0688+0.1208=0.4731; Therefore, it can be determined that under the standardized test conditions and engineering weight coefficients set in this embodiment, the adaptability of sample A-2 to the target engineering scenario is relatively limited. Based on the evaluation results of this invention, the following construction optimization suggestions can be proposed: appropriately increase the liquid level control height, optimize the continuous feeding rate, adjust the pumping parameters, and improve the sample's response speed to the blind zone opening and blind zone coverage ability by adjusting the slurry mix ratio, moisture content, and admixture dosage. As can be seen from this embodiment, this invention can not only identify excellent working conditions with "high overall throughput" but also identify weak working conditions with "insufficient blind zone response and coverage ability," and output targeted engineering optimization suggestions accordingly. For more unfavorable working conditions where the corresponding functional area is not passed within the preset test time or the blind zone opening is not reached, the corresponding throughput efficiency index, blind zone response efficiency index, and / or blind zone coverage rate can be recorded as 0 according to the aforementioned index assignment rules, thereby achieving graded identification and targeted optimization of filling behavior with different degrees of failure.

[0078] Therefore, the present invention adopts the above-mentioned method and intelligent detection device for evaluating the complex space filling performance of fluidized solidified soil, which solves the problem that the existing technology cannot comprehensively and standardizedly evaluate the complex space filling capacity of fluidized solidified soil, and realizes the unity of quantitative evaluation results, comparability and engineering guidance.

Claims

1. A method for evaluating the performance of fluidized solidified soil in filling complex spaces, characterized in that, Includes the following steps: S1. Set standardized test conditions and provide standardized test equipment. The standardized test conditions shall include at least standard constant liquid level, standard continuous feeding method, standard flow channel unit arrangement, standard release method and preset test duration. S2. Add the fluidized solidified soil sample to be tested to the feed release unit of the standardized testing device, open the outlet through the low-disturbance release component, and continuously replenish the material through the constant liquid level feeding unit to maintain the constant free liquid level of the slurry, so that the sample continuously enters the standardized flow channel unit under the action of its own weight and / or preset driving force. S3. Collect information on the flow front position, key time points, and regional filling of the sample in the standardized flow channel unit; S4. Calculate the evaluation index characterizing the complex space filling ability of the sample based on the collected data. S5. Calculate the standardized comprehensive filling index (CFIs) of the fluidized solidified soil under standardized test conditions based on the evaluation indicators, and classify the complex space filling capacity level or relative level of the fluidized solidified soil under test according to the standardized comprehensive filling index (CFIs), the results of individual evaluation indicators and / or the preset level classification rules. S6. Output the assessment results of the complex space filling capacity of the solidified fluid to be tested. The assessment results shall include at least the results of individual assessment indicators, standardized comprehensive filling index (CFIs), and the corresponding complex space filling capacity level and / or relative ranking results.

2. The method for evaluating the performance of fluidized solidified soil in filling complex spaces according to claim 1, characterized in that: In S3, the collected data includes at least one of the following parameters: First arrival time of the reference section at the end of the linear confined flow region t L ; First arrival time of the reference section at the entrance of the path turning zone t T,in ; First crossing time of the reference section at the exit of the path turning zone t T,out ; The actual time it takes for the sample to pass through the standardized path transition zone t T ,in t T = t T,out - t T,in ; First arrival time of the reference section at the inlet of the obstruction flow region t O,in ; First crossover time at the exit reference section of the obstruction bypass region t O,out ; The actual passage time of the sample through the standardized barrier flow region t O ,in t O = t O,out - t O,in ; First arrival time of the reference section at the entrance of the blind zone simulation segment t B,in ; First arrival time of the reference section of the blind zone opening t B,op ; Actual response time of the sample to the opening of the blind zone t B ,in t B = t B,op - t B,in ; Preset observation time after the sample flow front first reaches the blind zone opening reference section T At that time, the actual filling area within the standardized blind zone simulation area A f ( T ); among which, the preset observation duration T The preferred time is 60 seconds; The final coverage boundary profile formed by the sample within the preset test duration; All time parameters were recorded with the moment when the low-disturbance release component was fully opened as zero, and all area parameters were measured according to the top-view projected area.

3. The method for evaluating the performance of fluidized solidified soil in filling complex spaces according to claim 2, characterized in that: In S4, the evaluation metrics include: Straight line efficiency index K L , K L = t L,ref / t L ,in t L,ref This is a standard reference time pre-calibrated under the conditions of the same constant liquid level, the same channel cross-sectional size, and the same test distance; Turning efficiency index K T , K T = t T,ref / t T ,in t T,ref This is a standard reference time pre-calibrated under the same constant liquid level and the same rotation module geometry. Obstacle bypass efficiency index K O , K O = t O,ref / t O ,in t O,ref This is a standard reference time pre-calibrated under the same constant liquid level and the same obstacle module geometry. Blind zone response efficiency index K B , K B =t B,ref / t B ,in t B,ref The standard reference time required to travel from the reference position at the entrance of the blind zone simulation section to the projected position of the corresponding blind zone opening, under the same constant liquid level, the same channel cross-sectional size, the same test distance, and without the additional influence of the blind zone opening; Blind spot coverage η B , η B = A f ( T ) / A 0, where A f ( T The preset observation time is the period after the flow front of the sample first reaches the reference section of the blind zone opening. T The actual filling area within the time blind zone simulation area. A 0 represents the design area of ​​the standardized blind zone simulation area; t L,ref , t T,ref , t O,ref and t B,ref The reference time is obtained by pre-calibration under preset standard reference conditions. The standard reference conditions include at least the same constant liquid level, the same release method, the same channel cross-sectional size, the same test distance, the same functional module geometric parameters, and the same data acquisition rules.

4. The method for evaluating the performance of fluidized solidified soil in filling complex spaces according to claim 3, characterized in that: If the sample is within the preset test duration T If the corresponding function area is not passed within 0, then the corresponding K L , K T , K O Recorded as 0; If the sample is within the preset test duration T If the reference section of the blind zone opening is reached within 0, the observation will continue for the preset observation time Δ, starting from the time of arrival. T and calculate A f (Δ T ); If the sample is within the preset test duration T If the reference section of the blind zone opening is not reached within 0, then the blind zone response efficiency index... K B Recorded as 0, and blind spot coverage rate η B It is denoted as 0; where Δ T The value range is 30s-60s. T The value of 0 ranges from 180s to 240s.

5. The method for evaluating the performance of fluidized solidified soil in filling complex spaces according to claim 3, characterized in that: In S5, the weights are determined according to a preset standard. K L , K T , K O , K B and η B A weighted composite analysis was performed to obtain the standardized composite infill index (CFIs) of the tested fluidized solidified soil under standardized test conditions. The standardized composite infill index (CFIs) was calculated using the following weighted method: ； in, , , , , To preset standard weighting coefficients, Take a value of 0.05-0.

20. Take a value of 0.15-0.

30. Take a value of 0.15-0.

30. Take a value of 0.15-0.

30. Take values ​​between 0.20 and 0.40, and satisfy Σ. α i =1, i =1, 2, 3, 4, 5.

6. The method for evaluating the performance of fluidized solidified soil in filling complex spaces according to claim 5, characterized in that: The method further includes: S7, obtaining spatial constraint parameters and / or construction boundary conditions of the target engineering scenario, and determining the engineering weight coefficients corresponding to each evaluation index based on the spatial constraint parameters and / or construction boundary conditions; the spatial constraint parameters include at least one of the following: restricted width, length of the most unfavorable filling path, number and angle of path turns, number and location of obstacles, blind area ratio, blind opening size, local closure degree, and local elevation difference; and calculating the engineering fit comprehensive index CFIp of the fluidized solidified soil to be tested for the target engineering scenario by combining the evaluation index obtained in step S4 and / or the standardized comprehensive filling index CFIs obtained in step S5. The formula for calculating the Comprehensive Engineering Fit Index (CFIp) is: ； in, , , , , These correspond to the weighting coefficients of the straight-line throughput efficiency index, the corner throughput efficiency index, the obstacle bypass throughput efficiency index, the blind spot response efficiency index, and the blind spot coverage rate, respectively, and satisfy Σ ω i =1, i =1, 2, 3, 4, 5.

7. The method for evaluating the performance of fluidized solidified soil in filling complex spaces according to claim 6, characterized in that: S7 also includes outputting construction optimization suggestions based on at least one parameter among the standardized comprehensive filling index CFIs, engineering adaptation comprehensive index CFIp, single evaluation index results, and complex space filling capacity level. The construction optimization suggestions are determined based on the standardized comprehensive filling index (CFIs), the engineering adaptation comprehensive index (CFIp), and their corresponding preset control thresholds or target requirements, including at least one of the following: adjusting the mix proportion of fluidized solidified soil, adjusting the moisture content, adjusting the admixture dosage, adjusting the constant liquid level height, adjusting the continuous feeding rate, adjusting the spacing between injection ports, adjusting the injection sequence, adjusting the segmented pouring length, adjusting the pumping parameters, adjusting the height difference between the liquid level and the discharge port reference plane, adjusting the injection path elevation conditions, the injection port layout elevation difference, driving boundary conditions, or auxiliary driving methods; The construction optimization suggestions are determined based on individual evaluation indicators and their corresponding preset control thresholds or target requirements, including at least one of the following: efficiency indicators for obstruction bypass. K O When the value is below the corresponding preset control threshold or target requirement, suggestions are output to increase the driving head, optimize the injection path in the obstacle area, or improve the fluidity of the slurry. When blind zone response efficiency index K B and / or blind spot coverage η B When the value is below the corresponding preset control threshold or target requirement, suggestions are output to shorten the spacing between injection ports, adjust the injection sequence, increase the local driving force, or improve the plasticity retention of the slurry.

8. A smart detection device for complex spaces in fluidized solidified soil, applied to the performance evaluation method for filling complex spaces with fluidized solidified soil as described in any one of claims 1-7, characterized in that, include: The standard condition setting unit is used to set standardized test conditions; The feed release unit is used to contain the fluidized solidified soil sample to be tested and to open the discharge port through the low-disturbance release component; A constant liquid level feeding unit is used to continuously replenish the feed release unit and maintain a constant free liquid level of the slurry; The standardized flow channel unit includes a standardized straight-line restricted flow area, a standardized path turning area, a standardized obstacle bypass area, and a standardized blind zone simulation area connected in sequence. The sensing and acquisition unit is used to acquire the flow position, time parameters, and area filling information of the sample within the standardized flow channel unit. The data processing unit is used to calculate the infill capacity assessment index, the standardized comprehensive infill index (CFIs), and the engineering adaptability comprehensive index (CFIp), and to generate the grade determination results and construction optimization suggestions. The results output unit is used to output evaluation results and optimization suggestions.

9. The intelligent detection device for complex spaces of fluidized solidified soil according to claim 8, characterized in that: The standardized flow channel unit is a modular structure, including a detachably connected straight-line restricted channel module, a corner channel module, an obstacle simulation module, and a blind spot simulation module. The size and angle of each module are selected from preset standard settings. The blind spot simulation module includes a blind spot opening that communicates with the main flow channel and a semi-enclosed blind spot cavity located outside the blind spot opening.

10. The intelligent detection device for complex spaces of fluidized solidified soil according to claim 8, characterized in that: The structural parameters of the standardized flow channel unit are limited as follows: channel width of 120mm, channel height of 60mm, standardized straight-line confined flow zone design length of 500mm, standardized path turning zone design length of 250mm, standardized obstacle bypass zone design length of 250mm, and standardized blind zone simulation area design area of ​​22000mm². 2 ; The feeding and releasing unit includes a hopper structure and a low-disturbance releasing component; the height difference between the liquid level control reference height of the constant liquid level feeding unit and the structural height difference between the discharge port reference surface and the constant liquid level feeding unit is 150mm. The sidewalls of the standardized flow channel unit are at least partially transparent and are provided with length and area scales. The sensing and acquisition unit includes at least one of an image acquisition component, a liquid level recognition component, a position information recognition component, a time recording component, and a laser contour scanning component; The result output unit includes at least one of a display module, a data storage module, a communication module, and an alarm prompting module.

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