Urban underground structure toughness evaluation and promotion decision-making integrated system under complex multi-disaster influence

Abstract

The invention provides an urban underground structure toughness evaluation and improvement decision integrated system under complex multi-disaster influence, which comprises a multi-source information sensing module, a toughness evaluation judgment module, a toughness improvement decision support module and an interaction system, time-varying feature prediction analysis is carried out; the toughness evaluation and identification module is used for carrying out toughness evaluation analysis and evaluation and identification; the toughness improvement decision support module is used for determining a toughness improvement strategy and an improvement scheme; and the interaction system module is connected with the client, the multi-source information sensing module, the toughness evaluation and identification module and the promotion decision support module, and provides management and interaction services. According to the method, urban underground structure toughness evaluation and improvement decision-making under complex multi-disaster influence can be efficiently, scientifically and reasonably realized in real time, and platform support and method basis are provided for urban underground structure toughness guarantee management and improvement decision-making.

Description

Technical Field

[0001] The invention relates to the technical field of urban underground structure toughness. Background Art

[0002] The development and utilization of urban underground space is an effective way and inevitable trend to solve the shortage of urban land resources and improve the comprehensive service functions of cities. As the carrier of urban underground space, the cumulative construction area of ​​urban underground space structures in China has exceeded 2.962 billion square meters. However, at the same time, the impact of complex disasters such as earthquakes, rainstorms, floods, fires, and nearby construction on urban underground structures is prominent, which can easily lead to damage or functional degradation and interruption of urban underground structures, thus causing serious casualties, economic losses and social impacts. At present, the impact of disasters on urban underground structures has developed from the safety assessment stage and risk assessment stage to the resilience assessment stage. The assessment and improvement of the resilience of urban underground structures under the influence of complex disasters is an important guarantee for their safe operation and maintenance and functional stability. Domestic and foreign scholars have conducted extensive research on the resilience assessment and resilience improvement technology of urban underground space structures such as interval shield tunnels and subway stations under the influence of complex disasters such as earthquakes, rainstorms, floods, fires, and nearby construction, and have achieved some important research results.

[0003] However, the evolution mechanism of the disaster chain of urban underground structures under the influence of complex and multiple disasters is complex. The current resilience assessment methods are diverse, highly theoretical, and highly dependent on experience in decision-making. In addition, resilience assessment and decision-making are relatively independent, which leads to insufficient timeliness, operability, and intelligence in resilience assessment and decision-making, which is not conducive to the practice of resilience disaster prevention and mitigation of urban underground structures under the influence of complex and multiple disasters. Therefore, it is urgent to explore the resilience evaluation methods and resilience improvement strategy paths of urban underground structures under the influence of complex and multiple disasters, and to implement modular functions and overall system integration, so as to provide method guidance and platform support for resilience disaster prevention of urban underground space structures. Summary of the invention

[0004] The purpose of the present invention is to provide an integrated system for evaluating and improving the resilience of urban underground structures under the influence of complex and multiple disasters. The integrated system is based on the functional module data flow connection design and system integration of multi-source data fusion transmission and processing, resilience evaluation method and improvement decision method, and realizes the resilience evaluation and improvement decision of urban underground structures such as interval shield tunnels and subway stations under the influence of complex and multiple disasters such as earthquakes, rainstorms, floods, fires, and nearby construction, which helps to improve the scientificity, timeliness and operability of urban underground structure resilience assurance management and improvement decision-making.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] The urban underground structure resilience assessment and improvement decision-making integrated system under the influence of complex multiple disasters includes: multi-source information perception module, resilience evaluation and identification module, resilience improvement decision support module and interactive system module, among which:

[0007] The multi-source information perception module collects multi-source monitoring data of urban underground space structure and strata, and performs time-varying characteristic prediction and analysis of strata deformation and structural deformation parameters, providing a data basis for the toughness evaluation and identification module;

[0008] The resilience evaluation and identification module clarifies the underground space structure type and disaster type, and selects the corresponding resilience evaluation method to perform resilience evaluation and analysis based on the multi-source monitoring data and prediction analysis results collected by the multi-source information perception module, and determines the resilience grade and resilience level;

[0009] The resilience improvement decision support module determines the resilience improvement strategy and improvement plan for the underground space structure based on the type of underground space structure and the improvement target and the resilience assessment analysis result of the resilience evaluation and identification module;

[0010] The interactive system module is connected to the client and the multi-source information perception module, the resilience evaluation and identification module, and the enhanced decision support module to provide management and interactive services; the interactive system module performs multi-source and multi-dimensional heterogeneous data access and retrieval with the multi-source information perception module, performs disaster evolution and resilience result reasoning with the resilience evaluation and identification module, and performs data-driven and decision response support with the resilience enhancement decision support module.

[0011] Beneficial effects of the present invention:

[0012] The present invention can realize the functional system integration and platform construction of urban underground structure resilience evaluation methods and improvement decision-making paths under the influence of complex and multiple disasters in real time, efficiently, scientifically and reasonably, and provide a methodological basis and platform support for urban underground structure resilience assurance management and improvement decision-making. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 The overall architecture of the urban underground structure resilience assessment and improvement decision-making integrated system under the influence of complex multiple disasters of the present invention;

[0014] Figure 2 It is a data flow connection and workflow diagram of the urban underground structure resilience assessment and improvement decision-making integrated system under the influence of complex multiple disasters of the present invention;

[0015] Figure 3 This is a working diagram of the toughness evaluation and identification module in the integrated system of the present invention;

[0016] Figure 4This is a workflow diagram of the resilience enhancement decision support module in the integrated system of the present invention. DETAILED DESCRIPTION

[0017] The technical solution provided by the present application will be further described below in conjunction with specific embodiments and accompanying drawings. The advantages and features of the present application will become more apparent with the following description.

[0018] like Figure 1 , Figure 2 As shown in the figure, an integrated system for evaluating and improving the resilience of urban underground structures under the influence of complex multiple disasters includes a multi-source information perception module, a resilience evaluation and identification module, a resilience improvement decision support module and an interactive system module, wherein:

[0019] The multi-source information perception module collects multi-source monitoring data of urban underground space structure and strata, and performs time-varying characteristic prediction and analysis of parameters such as strata deformation and structural deformation, providing a data basis for the toughness evaluation and identification module;

[0020] The resilience evaluation and identification module clarifies the underground space structure type and disaster type, and selects the corresponding resilience evaluation method to perform resilience evaluation and analysis based on the multi-source monitoring data and prediction analysis results collected by the multi-source information perception module, and determines the resilience grade and resilience level;

[0021] The resilience improvement decision support module determines the resilience target requirements based on the structural importance level and the impact of functional interruption hazards, and then determines the resilience improvement strategy based on the resilience evaluation results, and determines the underground space structure resilience improvement plan by considering the underground space structure type and disaster type;

[0022] The interactive system module is connected to the client and the multi-source information perception module, the resilience evaluation and identification module, and the enhanced decision support module to provide management and interactive services; the interactive system module performs multi-source and multi-dimensional heterogeneous data access and retrieval with the multi-source information perception module, performs disaster evolution and resilience result reasoning with the resilience evaluation and identification module, and performs data-driven and decision response support with the resilience enhancement decision support module.

[0023] Furthermore, the multi-source data collected or input by the multi-source information perception module include basic structural data, information management data, structural deformation monitoring data, stratum environment monitoring data and disaster intensity monitoring data.

[0024] Furthermore, the multi-source information perception module also involves multi-source data transmission and processing, including data feature analysis, structural disaster numerical simulation, structural performance / function time-varying prediction analysis and visualization display.

[0025] Furthermore, the resilience enhancement decision support module also includes conducting engineering case analogy analysis, warning issuance, disaster simulation, emergency response methods, repair technology and visualization of enhancement technology.

[0026] Furthermore, the interactive system module includes system introduction, menu management, function management, project management, user management and system management.

[0027] Disaster disturbances can cause performance or functional losses in underground structures. Figure 2 As shown in the figure, the implementation of the urban underground structure resilience assessment and improvement decision-making method under the influence of complex multi-hazards based on the above integrated system includes multi-source information perception, resilience evaluation and identification, and resilience improvement decision-making process, specifically:

[0028] First, the multi-source information perception module is used to monitor, collect, and transmit information such as the intensity of disaster disturbances and structural deformation responses, and the deformation or functional thresholds are used in combination with predictive analysis to determine whether an emergency response should be made. Then, based on the monitoring data and predictive analysis results of the multi-source information perception module, resilience analysis and evaluation are carried out in the resilience evaluation and identification module. Finally, the resilience analysis and evaluation results of the resilience evaluation and identification module are combined with the predictive analysis results of the multi-source information perception module to carry out decision-making reasoning for improving the resilience of underground space structures and determine the resilience improvement plan.

[0029] Furthermore, the toughness evaluation and identification module includes the following processes: selecting an evaluation model, evaluating toughness, and determining toughness evaluation results. Specifically, Figure 3 As shown, the processing steps of this module include:

[0030] First, the selection of evaluation model: according to the underground space structure type, combined with the disaster disturbance type and method preference, the resilience evaluation model is determined;

[0031] Then, resilience evaluation: Based on the selected resilience evaluation model, the multi-source monitoring data of underground structures are imported through the multi-source information perception module to conduct resilience analysis of underground structures, including threshold judgment and resilience calculation;

[0032] Finally, the toughness assessment result is determined: based on the underground structure toughness analysis result and the predictive analysis result obtained by the multi-source information perception module, the underground structure toughness assessment result is determined, and the toughness assessment result includes a toughness grade and a toughness level.

[0033] Furthermore, in the above toughness evaluation process, the basic toughness calculation formula is shown in formula (1):

[0034]

[0035] In the formula, Re is the calculated value of toughness, α is the disaster disturbance intensity coefficient, ti is the starting time of the disaster disturbance, t r is the end time of the whole process of disaster disturbance, Q(t) is the time-varying performance function of the whole process of structural disaster chain, and Q0 is the initial function of the structural system.

[0036] Specifically, the disaster disturbance intensity coefficient is determined by the disaster disturbance intensity level, which is divided into five levels from level I to level V, among which level I has the highest disturbance intensity and level V has the lowest disturbance intensity;

[0037] Furthermore, the intensity level of disaster disturbance under different disaster types is determined by the specific disaster type, among which the intensity level of earthquake disturbance can be determined by indicators such as earthquake magnitude and PGA, the intensity level of flood (rainstorm) can be determined by indicators such as precipitation in a unit period and rainfall duration, the intensity level of fire can be determined by indicators such as maximum heat release rate, and the intensity level of nearby construction disturbance can be determined by indicators such as proximity and geological conditions;

[0038] Furthermore, the quantitative mapping relationship between the disaster disturbance intensity coefficient and the disturbance intensity level is determined by the fuzzy trigonometric function method. First, the disturbance intensity coefficient scalar of a single disaster disturbance intensity level mapping is calculated by formula (2), and then the disturbance intensity coefficient of the disturbance intensity level V is assumed to be 1.0. The scalar values ​​of the disturbance intensity coefficients of different intensity levels are normalized to obtain the mapping relationship between the disaster disturbance intensity coefficient and the disaster disturbance intensity level as shown in Table 1.

[0039]

[0040] Where α0 is the scalar value of the disturbance intensity coefficient, l represents the lower bound of the fuzzy number mapped to a certain disaster disturbance intensity level, that is, the lowest possible value; m represents the middle value of the fuzzy number mapped to a certain disaster disturbance intensity level, that is, the most likely value; u represents the upper bound of the fuzzy number mapped to a certain disaster disturbance intensity level, that is, the highest possible value.

[0041] Table 1 Mapping relationship between disaster disturbance intensity coefficient and disaster disturbance intensity coefficient

[0042] Disaster disturbance intensity level Level I Level II Grade III Level IV Level V Disaster disturbance intensity coefficient α 1.06 1.05 1.03 1.02 1.00

[0043] Specifically, the time-varying performance function Q(t) of the entire structural disaster chain and the initial function Q0 of the structural system vary with different structural types and disaster disturbance types, and are determined by the specifically selected resilience evaluation model.

[0044] Furthermore, the performance indicators of underground structures under earthquakes can be damage probability, the performance indicators of underground structures under floods can be waterproofing / drainage capacity, traffic function, etc., the performance indicators of underground structures under fires can be rescue time, traffic speed, etc., and the performance indicators of underground structures under nearby construction disturbances can be settlement deformation, convergence deformation, etc.; at the same time, the toughness evaluation index can be a single indicator, or a comprehensive indicator established using comprehensive methods such as hierarchical analysis.

[0045] Furthermore, in the process of determining the toughness evaluation results, the toughness grade and toughness level grading standards are shown in Table 2.

[0046] Table 2 Toughness grade and toughness level classification standard

[0047] Toughness grade Level I Level II Grade III Level IV Level V Toughness value Re 0.9<Re≤1.0 0.7<Re≤0.9 0.5<Re≤0.7 0.3<Re≤0.5 0<Re≤0.3 Toughness level High toughness Medium to high toughness Medium toughness Medium to low toughness Low toughness

[0048] In some examples, the urban underground structure type may be a section shield tunnel, an open-cut underground structure, a mining method tunnel, an immersed tube tunnel, and the like.

[0049] In some examples, the types of disaster disturbances include earthquakes, heavy rains, floods, fires, and nearby construction disturbances.

[0050] In some examples, underground structure resilience analysis includes disaster characteristic diagnosis based on time-varying data of underground spatial structure performance or function, performance / function disaster chain evolution analysis, time-varying prediction, threshold judgment and resilience calculation.

[0051] In some examples, the results of underground structure resilience assessment include the temporal evolution characteristics of performance, resilience grades and levels, and their visual presentation, including graphical presentation of temporal data and tabular records of key result data.

[0052] Furthermore, the resilience improvement decision support module includes the following processes: determining resilience target requirements, determining improvement strategies, and determining improvement plans, such as Figure 4 As shown, the processing steps of this module include:

[0053] First, the resilience target requirement is determined: Based on the functional importance level and functional interruption hazard level of the underground structure, the matrix association method is used to determine the target level for improving the resilience of the underground structure, and the resilience improvement target of the specific project is determined based on the actual project.

[0054] Among them, the function importance level is divided into 5 levels from I to V, specifically extremely important, very important, relatively important, important and generally important, as shown in Table 3; the function interruption hazard level is divided into 5 levels from I to V, specifically catastrophic, very serious, serious, to be considered, and general, as shown in Table 4; the resilience improvement target level is divided into 5 levels from I to V, specifically high demand, medium-high demand, medium demand, medium-low demand and low demand, as shown in Table 5.

[0055] Table 3 Evaluation criteria for the importance of underground space structure functions

[0056]

[0057] Table 4 Evaluation criteria for the level of hazard of interruption of underground space structure function

[0058]

[0059] The matrix association method maps the function importance level and the function interruption hazard level I-V to integers 1-5 respectively, and constructs the association matrix R, as shown in formula (3). The elements of the association matrix R are represented by R ij , i is an integer from 1 to 5, j is an integer from 1 to 5, R ij Represents the target level of improvement corresponding to the association between function importance level i and function interruption level j.

[0060]

[0061] Furthermore, R is calculated by formula (4) ij , combined with the rounding down method, the calculation levels 1 to 5 are determined, and 1 to 5 are mapped to levels Ⅰ to Ⅴ, so as to determine the target level of toughness improvement as shown in Table 5.

[0062]

[0063] Table 5 Toughness improvement target level classification standard

[0064]

[0065] Secondly, the improvement strategy is determined: Based on the target level of underground structure resilience improvement and the resilience evaluation level, the matrix correlation method in formula (3) and the rounding down method in formula (4) are used to determine the underground structure resilience improvement strategy.

[0066] Furthermore, the resilience improvement strategies are divided into five levels, namely, strong improvement, high improvement, medium improvement, weak improvement and slight improvement, as shown in Table 6.

[0067] Table 6 Resilience improvement strategy classification standards

[0068]

[0069] Then, the improvement plan is determined: based on the determined underground structure resilience improvement strategy and combined with the resilience evaluation results, the resilience improvement plan is determined through semantic association and case comparison of disaster types, structure types, disturbance mechanisms, technical measures, etc.

[0070] In some examples, it also includes a display of improvement measures, which include four dimensions: technology, organization, economy, and society. The content includes improvement mechanisms, operating procedures, control indicators, etc. The visual display methods include text, pictures, animations, and videos.

[0071] In some examples, regarding the determination of resilience target requirements and resilience improvement strategies, methods such as matrix association, element layering and topological relationship can be used to determine the levels or categories of resilience target requirements and resilience improvement strategies.

[0072] In some examples, regarding the determination of resilience improvement plans, methods such as similarity transformation, semantic association, knowledge graph and graph neural network can be used to provide engineering case references and improvement strategy associations and their visualization.

[0073] In some examples, resilience enhancement solutions include emergency response methods, enhancement technologies and packages and their visual presentation.

[0074] In general, the urban underground structure resilience assessment and improvement decision-making integrated system under the influence of complex multiple disasters provided by the present invention has the following advantages:

[0075] The present invention fully considers the needs of urban underground structure resilience assessment and improvement decision-making under the influence of complex and multiple disasters, and realizes the functional integration and platform construction of urban underground structure resilience assessment and improvement decision-making under the influence of complex and multiple disasters by constructing an integrated system for urban underground structure resilience assessment and improvement decision-making under the influence of complex and multiple disasters composed of a multi-source information perception module, a resilience evaluation and recognition module, a resilience improvement decision support module and an interactive system module, thus providing method guidance and platform support for urban underground structure resilience disaster prevention management and decision-making.

[0076] Among them, the resilience evaluation and identification module selects the resilience evaluation model based on the underground structure type and disaster disturbance type, combines multi-source structural data, realizes the resilience analysis and result display of the underground structure, improves the timeliness, rationality and operability of the resilience analysis, and provides a decision-making basis for the resilience of urban underground structures under the influence of complex and multiple disasters.

[0077] Among them, the resilience enhancement decision support module determines the resilience target requirements of underground structures based on the importance level of underground structures and the impact of functional interruption hazards; determines the resilience enhancement strategy of underground structures based on the resilience target requirements and resilience evaluation results; and determines the resilience enhancement plan by considering the disaster disturbance type and engineering structure type, providing fast, reasonable and intelligent decision support for the resilience of urban underground structures under the influence of complex and multiple disasters.

[0078] The above description is only a description of the preferred embodiments of the present application, and is not intended to limit the scope of the present application. Any changes or modifications made by any person skilled in the art based on the above disclosed technical contents shall be deemed as equivalent effective embodiments and shall fall within the scope of protection of the technical solution of the present application.

Claims

1. An integrated system for evaluating and improving the resilience of urban underground structures under the influence of complex and multi-hazards, characterized by: It includes multi-source information perception module, resilience evaluation and identification module, resilience improvement decision support module and interactive system module, among which: The multi-source information perception module collects multi-source monitoring data of urban underground space structure and strata, and performs time-varying characteristic prediction and analysis of strata deformation and structural deformation parameters, providing a data basis for the toughness evaluation and identification module; The resilience evaluation and identification module clarifies the underground space structure type and disaster type, and selects the corresponding resilience evaluation method to perform resilience evaluation and analysis based on the multi-source monitoring data and prediction analysis results collected by the multi-source information perception module, and determines the resilience grade and resilience level; The resilience improvement decision support module determines the resilience improvement strategy and improvement plan for the underground space structure based on the type of underground space structure and the improvement target and the resilience assessment analysis result of the resilience evaluation and identification module; The interactive system module is connected to the client and the multi-source information perception module, the resilience evaluation and identification module, and the enhanced decision support module to provide management and interactive services; the interactive system module performs multi-source and multi-dimensional heterogeneous data access and retrieval with the multi-source information perception module, performs disaster evolution and resilience result reasoning with the resilience evaluation and identification module, and performs data-driven and decision response support with the resilience enhancement decision support module.

2. The urban underground structure resilience assessment and improvement decision-making integrated system under the influence of complex multiple disasters as claimed in claim 1 is characterized in that: It includes multi-source information perception, resilience evaluation and identification, and resilience improvement decision-making process. The specific steps include: First, through the multi-source information perception module, the disaster disturbance intensity and structural deformation response information are monitored, collected, and transmitted, and the deformation or functional threshold is combined with prediction analysis to determine whether to make an emergency response; Then, based on the monitoring data and prediction analysis results of the multi-source information perception module, resilience analysis and evaluation and identification are carried out in the resilience evaluation and identification module; Finally, combining the resilience analysis and evaluation results of the resilience evaluation and identification module with the prediction and analysis results of the multi-source information perception module, decision-making reasoning for improving the resilience of underground space structures is carried out and a resilience improvement plan is determined.

3. The urban underground structure resilience assessment and improvement decision-making integrated system under the influence of complex multiple disasters as claimed in claim 1 is characterized by: The multi-source information perception module collects or inputs multi-source data including structural basic data, information management data, structural deformation monitoring data, stratum environment monitoring data and disaster intensity monitoring data.

4. The urban underground structure resilience assessment and improvement decision-making integrated system under the influence of complex multiple disasters as claimed in claim 1 is characterized in that: The multi-source information perception module also involves multi-source data transmission and processing, including data feature analysis, structural disaster numerical simulation, structural performance / function time-varying prediction analysis and visualization display.

5. The urban underground structure resilience assessment and improvement decision-making integrated system under the influence of complex multiple disasters as claimed in claim 1 is characterized in that: The toughness evaluation and identification module includes the following steps: selecting an evaluation model, evaluating toughness, and determining toughness evaluation results. First, the selection of evaluation model: according to the underground space structure type, combined with the disaster disturbance type and method preference, the resilience evaluation model is determined; Then, toughness evaluation: Based on the selected toughness evaluation model, the multi-source monitoring data of underground structures are imported to conduct toughness analysis of underground structures, including threshold judgment and toughness calculation; Finally, the toughness assessment result is determined: based on the underground structure toughness analysis result and the predictive analysis result obtained by the multi-source information perception module, the underground structure toughness assessment result is determined, and the toughness assessment result includes a toughness grade and a toughness level.

6. The urban underground structure resilience assessment and improvement decision-making integrated system under the influence of complex multiple disasters as claimed in claim 5 is characterized by: In the toughness evaluation process, the basic toughness calculation formula is shown in formula (1): In the formula, Re is the calculated value of toughness, α is the disaster disturbance intensity coefficient, t i is the starting time of the disaster disturbance, t r is the end time of the whole process of disaster disturbance, Q(t) is the time-varying performance function of the whole process of structural disaster chain, and Q0 is the initial function of the structural system.

7. The urban underground structure resilience assessment and improvement decision-making integrated system under the influence of complex multiple disasters as claimed in claim 6 is characterized by: The disaster disturbance intensity coefficient is determined by the disaster disturbance intensity level. The disaster disturbance intensity level is divided into five levels from level I to level V, among which level I has the largest disturbance intensity and level V has the smallest disturbance intensity. The quantitative mapping relationship between the disaster disturbance intensity coefficient and the disturbance intensity level is determined by the fuzzy trigonometric function method. The specific steps include: First, the disturbance intensity coefficient scalar of the single disaster disturbance intensity level mapping is calculated by formula (2); Then, assuming that the disturbance intensity coefficient of disturbance intensity level V is 1.0, the scalar values ​​of disturbance intensity coefficients of different intensity levels are normalized; Finally, the mapping relationship between the disaster disturbance intensity coefficient and the disaster disturbance intensity level is obtained; Where α0 is the scalar value of the disturbance intensity coefficient, l represents the lower bound of the fuzzy number mapped to a certain disaster disturbance intensity level, that is, the lowest possible value; m represents the middle value of the fuzzy number mapped to a certain disaster disturbance intensity level, that is, the most likely value; u represents the upper bound of the fuzzy number mapped to a certain disaster disturbance intensity level, that is, the highest possible value.

8. The urban underground structure resilience assessment and improvement decision-making integrated system under the influence of complex multiple disasters as claimed in claim 1 is characterized by: The resilience improvement decision support module includes the following steps: First, the resilience target requirement is determined: based on the functional importance level and functional interruption hazard level of the underground structure, the matrix correlation method is used to determine the target level of underground structure resilience improvement, and the resilience improvement target of the specific project is determined in combination with the actual project; Secondly, the improvement strategy is determined: based on the target level of underground structure resilience improvement and the resilience evaluation level, the matrix correlation method and the rounding down method are used to determine the underground structure resilience improvement strategy; Then, the improvement plan is determined: based on the determined underground structure resilience improvement strategy and combined with the resilience evaluation results, the resilience improvement plan is determined through semantic association and case comparison of disaster type, structure type, disturbance mechanism, and technical measures.

9. The urban underground structure resilience assessment and improvement decision-making integrated system under the influence of complex multiple disasters as claimed in claim 8 is characterized in that: The function importance level is divided into 5 levels from Ⅰ to Ⅴ, specifically extremely important, very important, relatively important, important and generally important, as shown in Table 3; Table 3 Evaluation criteria for the importance of underground space structure functions The functional interruption hazard level is divided into five levels from Level I to Level V, specifically catastrophic, very serious, serious, need to be considered, and general, as shown in Table 4; Table 4 Evaluation criteria for the level of hazard of interruption of underground space structure function The matrix association method maps the function importance level and the function interruption hazard level I-V to integers 1-5 respectively, and constructs an association matrix R, as shown in formula (3). The elements of the association matrix R are represented by R ij , i is an integer from 1 to 5, j is an integer from 1 to 5, R ij Represents the corresponding improvement target level associated with the function importance level i and the function interruption level j; Calculate R by formula (4) ij , combined with the rounding down method, the calculation levels 1 to 5 are determined, and 1 to 5 are mapped to levels Ⅰ to Ⅴ, thereby determining the target level of toughness improvement; The toughness improvement target level is divided into 5 levels from Level I to Level V, specifically high demand, medium-high demand, medium demand, medium-low demand and low demand, as shown in Table 5; Table 5 Toughness improvement target level classification standard The toughness improvement strategy is divided into five levels, namely, strong improvement, high improvement, medium improvement, weak improvement and slight improvement, as shown in Table 6. Table 6 Resilience improvement strategy classification standards

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