124 results about "Seismic damage" patented technology

The invention relates to the technical field of bridge seismic resistance, in particular to a bridge transverse quasi-seismic isolation multistage ordered seismic resistance construction method, which is used for determining performance targets under three levels according to seismic fortification requirements of a bridge structure under earthquakes with different strength levels, and providing a reasonable mechanical parameter valuing method of a steel stop block. A quasi-seismic isolation bridge multi-stage seismic fortification mechanism is established, the seismic potential of each component is exerted in sequence, the seismic damage degree of the bridge can be controlled and reduced according to an expected performance target, the phenomenon of beam falling of an upper structure of the bridge can be effectively prevented, and therefore a multi-stage ordered seismic isolation and seismic fortification mechanism is achieved.

The invention relates to the technical field of bridge structure health monitoring, and particularly provides a bridge earthquake damage rapid assessment method and system, and the method comprises the steps: carrying out the cross-modal coupling calibration of a time-history sudden change feature and a phase of a space energy spectrum, and generating a high-confidence three-dimensional dynamic response field; inputting the spatial gradient distribution characteristics into a nonlinear material state inversion program, performing path integrity verification in combination with an energy dissipation path, and outputting a potential damage topology boundary of the bridge; dividing an output bridge potential damage topological boundary into discretized damage units, and mapping strain constraints of the discretized damage units into triple decision-making indexes including a traffic capacity attenuation coefficient, an emergency disposal aging threshold value and an aftershock risk level through a bridge structure function attenuation rule. The system comprises a mixed field dynamic response reconstruction module, a damage sensitive domain reverse locking module and a function level damage quantitative mapping module. According to the method, deterministic mapping of the bridge structure damage state and the engineering function index is realized.

The invention relates to the technical field of bridge earthquake damage performance evaluation, and particularly discloses a high-speed railway bridge earthquake damage performance rapid evaluation method based on machine learning, and the method comprises the steps: collecting multi-source data of a bridge structure of a high-speed railway, a historical earthquake database and a BIM model of the bridge structure in real time through a heterogeneous data collection system; constructing a multi-modal feature space containing partial features of time-frequency domain features, spatial features and probability features; constructing a hierarchical machine learning framework based on a dynamic Bayesian network damage propagation model, a mixed model of a multi-scale convolutional neural network and a long-short term memory network and an uncertainty quantization and dynamic updating mechanism, and establishing an earthquake damage performance evaluation model based on the hierarchical machine learning framework; carrying out seismic damage performance evaluation on the multi-modal feature space by adopting a seismic damage performance evaluation model, and generating damage probability distribution; potential earthquake damage related information behind the data is effectively mined, and the earthquake damage condition of the bridge in an earthquake can be more accurately simulated and predicted.

The invention discloses an earthquake risk analysis method based on a regional fine geological structure. The method comprises the following steps: constructing a fine three-dimensional geoscience model; optimizing boundary conditions based on GNSS velocity field data; finite element numerical simulation; and earthquake risk analysis. According to the method, a fine three-dimensional geoscience model is constructed, a finite element numerical simulation method is utilized, historical seismic data and geologic structure characteristics are combined, non-uniform strain energy distribution caused by plate movement in a certain time is calculated, and depth and magnitude weighting processing is performed on magnitude risk values obtained through simulation, so that the magnitude risk values are obtained. And the actual condition of the earthquake damage effect is reflected. And finally, performing summation operation on the weighted strain energy data of the earthquakes with different depths and different earthquake magnitudes in the research area to obtain the overall earthquake risk distribution condition of the earth surface area. The method can break through the limitation of the existing seismological observation data, the seismic activity can be viewed from a wider view angle and time scale, and the periodicity, frequency and potential disaster risk of the earthquake can be deeply understood.

The invention discloses a transmission tower vulnerability analysis method and system based on seismic simulation, and belongs to the technical field of electric power facility disaster prevention, and the method comprises the steps: correcting bedrock seismic oscillation parameters based on equivalent shear wave velocity, and generating a high-precision earth surface PGA distribution diagram; automatically positioning a key node layer through eigenvalue decomposition, reducing the order of the three-dimensional model of the power transmission tower into a two-dimensional series multi-degree-of-freedom model, and outputting a layer mass vector, a condensation stiffness matrix and rod piece bending stiffness; performing time-history analysis by using the corrected PGA-driven reduced-order model to generate an earthquake damage probability; the multi-source remote sensing data and the PGA are fused, the landslide space probability is output through a deep learning model, and the impact strength and the landslide kinetic energy are calculated to judge the landslide damage probability; and based on the dual-threshold condition triggering probability union set, calculating a comprehensive damage probability, and generating a three-dimensional vulnerable curved surface. According to the method, the problems of high missing report rate and low calculation efficiency of single disaster assessment are solved, and minute-level accurate early warning of the composite disaster risk of the power transmission tower is realized.

The invention discloses a method for evaluating the performance of a friction pendulum type seismic mitigation and isolation support in a service state. The method comprises the following steps: S1, carrying out horizontal sliding displacement and vertical force detection on the friction pendulum type seismic mitigation and isolation support in service; s2, according to the detected data, the sliding interface friction coefficient mu of the service friction pendulum type seismic mitigation and isolation support is calculated; s3, according to the obtained sliding interface friction coefficient mu of the in-service friction pendulum type seismic mitigation and isolation support, anti-seismic performance indexes of the friction pendulum type seismic mitigation and isolation support are calculated, and the anti-seismic performance indexes comprise the horizontal rigidity and the effective damping ratio coefficient; and S4, according to the influence of the sliding interface state change and the horizontal rigidity change on the seismic damage state of the bridge structure, the anti-seismic safety risk of the friction pendulum type seismic mitigation and isolation support in the sliding interface state is graded. By means of the method, the sliding interface state and the specific friction characteristic of the friction pendulum type seismic mitigation and isolation support in the service state can be obtained, and therefore the anti-seismic performance of the friction pendulum type seismic mitigation and isolation support can be evaluated.

Disclosed in the present disclosure is a fast evaluation method of site seismic liquefaction hazard based on artificial intelligence algorithm: establishing a historical seismic and site information database, the database including a demand input module, a web crawler module, a data processing module, and a database module connected in sequence; a neural network model performs prediction to acquire a post-earthquake site dominant frequency; and, on the basis of the post-earthquake site dominant frequency, acquiring a site earthquake damage degree and seismic performance parameters. The present disclosure solves the problem of fast evaluating post-earthquake site earthquake damage and site seismic performance parameters, and can rapidly evaluate the site liquefaction or softening earthquake damage degree and site seismic performance parameters in given earthquake conditions.

The invention discloses a bridge pile group system earthquake damage rapid assessment method fusing Hilbert-Huang transformation and physical prior, belongs to the technical field of civil engineering and building earthquake resistance, and aims at solving the problems that a traditional method is lagged, physically unreasonable and limited in local monitoring. The method comprises the following steps: S1, model training and embedding: before an earthquake, constructing a deep learning model, and embedding a pile-soil vibration control equation and boundary conditions in the model as loss function constraint terms; s2, establishing a damage mapping relation: before an earthquake, establishing a quantitative mapping relation between a frequency domain index representing the overall dynamic characteristics of the system and an engineering demand parameter representing the local plastic damage degree; and S3, post-earthquake real-time evaluation: determining the overall damage degree and damage position of the structure according to the extracted frequency domain index difference on the basis of the established quantitative mapping relation during an earthquake.

The invention discloses an urban agglomeration anti-seismic damage prediction method and system based on an unmanned aerial vehicle technology and a deep learning model. The method comprises the following steps: constructing a typical building multi-angle aerial image database and a building earthquake damage database under different load coupling effects; training an urban building group identification model based on the aerial photo database to identify the type, geometry and texture information of the building; constructing and training horizontal and vertical seismic oscillation amplification coefficient prediction models for correcting seismic oscillation intensities under different topographic conditions; a typical building earthquake damage prediction model is constructed and trained, and the building damage grade is predicted in combination with the corrected earthquake vibration intensity; and finally, realizing three-dimensional visualization of the damage condition of the urban building group through a damage grade imaging module. According to the method, the problems of inaccurate urban building group modeling information, large earthquake damage analysis workload and low precision in the prior art are solved, and a scientific basis is provided for construction and evaluation of tough cities.

The invention discloses a method for identifying a seismic response rule of a side slope containing a ductile shear zone in a vibration table test, and belongs to the technical field of side slope seismic response monitoring. Comprising the following steps: S1, carrying out a vibration table similar material test according to rock mass mechanical parameters and a Buckingham Pi similarity theorem, and constructing a slope physical model containing a ductile shear zone; s2, acceleration sensors are arranged from the slope surface to the interior of the slope in the horizontal direction and the vertical direction; s3, carrying out a vibration table experiment until the model is completely damaged, and recording original data; and S4, processing and analyzing the original data, and carrying out acceleration response analysis. According to the method and the device, the defect that the conventional earthquake damage mode for the tough shear band edge / landslide is not considered from the monitoring physical quantity in the tough shear band edge / landslide slope body and the characteristic parameters of the landslide body is overcome.

The present invention provides a method and system for calculating the earthquake damage performance of an undersea tunnel, and relates to the technical fields of structural engineering and engineering mechanics. The present invention determines the most unfavorable earthquake vibration input parameters by analyzing the time-frequency characteristics of the earthquake vibration signal in the sea area, and uses these parameters to perform quasi-static experiments, calculate the impact stress of each part of the tunnel, and generate seismic stress limits, perform elastic-plastic earthquake response analysis, calculate shear stress, generate material fatigue limits, calculate the seismic performance and seismic margin of the current tunnel, generate seismic deformation limits, and generate a seismic damage index by combining various limits, and compare it with the earthquake damage index to judge the degree of damage to the tunnel. The present invention realizes the seismic performance evaluation and damage degree judgment of the undersea tunnel through technical means such as seismic signal analysis, quasi-static experiments, and elastic-plastic response analysis.

The invention relates to the technical field of earthquake damage prediction, in particular to a mountain fallen layer structure earthquake damage prediction method based on machine learning, and the method comprises the steps: building a numerical model database of a mountain fallen layer structure; applying seismic oscillation excitation of different levels to each structure model in the numerical model database, and obtaining corresponding anti-seismic performance indexes through nonlinear time-history analysis; analyzing an influence rule of the structural design parameters on the anti-seismic performance based on the anti-seismic performance indexes; by taking the structural design parameters and the seismic oscillation parameters as input features and the seismic performance indexes as output features, constructing a mountain fallen layer structure seismic damage prediction model by adopting a machine learning algorithm; performing training optimization on the earthquake damage prediction model; and inputting structural design parameters and seismic oscillation parameters of a to-be-predicted structure into the optimized seismic damage prediction model, and outputting a corresponding seismic damage response prediction result. And the earthquake damage prediction efficiency and accuracy of the mountain building structure are improved.

The invention discloses a bridge structure nonlinear earthquake destructive power prediction method and device, and the method comprises the following steps: collecting and preprocessing the historical earthquake response acceleration of a bridge, and obtaining an original vibration acceleration sequence; performing decomposition processing on the original vibration acceleration sequence by adopting an ensemble empirical mode decomposition method to obtain sample data; performing training optimization on the Bi LSTM model based on the sample data by adopting a black-wing plinary algorithm to obtain an optimized Bi LSTM model; and decomposing acceleration data acquired in real time through an ensemble empirical mode decomposition method, inputting the decomposed acceleration data into the optimized Bi LSTM model, and outputting predicted seismic destructive power. According to the Bi LSTM model based on black-wing optimization, the nonlinearity and randomness of bridge seismic response acceleration data can be better processed, the model after black-wing optimization has better generalization ability when processing a complex bridge structure, and the seismic destructive power of the bridge structure can be quickly and accurately predicted by using a small amount of data; the method has important application potential in bridge anti-seismic performance evaluation.

The utility model relates to the technical field of electrical equipment installation, aims to solve the problems that in the prior art, a 1000-kilovolt high-voltage reactor in a high-altitude and high-seismic-intensity area is large in equipment size and load and is greatly influenced by horizontal seismic force, and the equipment and the structure are prone to deformation, and provides a 1000-kilovolt high-resistance seismic isolation frame in a high-altitude and high-seismic-intensity area. The frame body is provided with a plurality of I-shaped steel located on the same plane, and the I-shaped steel is perpendicular to one another and fixedly connected at intervals. The first steel plates and the second steel plates are arranged at the connecting joints of the I-shaped steel and fixedly connected to the connecting joints of the I-shaped steel. The high-voltage reactor has the beneficial effects that the horizontal earthquake acting force resisting performance of high-voltage reactor equipment is improved, the earthquake damage risk of the equipment when the equipment is in a high-altitude area with a larger boundary dimension and is in a high-seismic-intensity area is greatly reduced, the equipment and the structure are not easy to deform, and the reliability of related equipment in the high-altitude area and the high-seismic-intensity area is improved.

The present invention discloses a method and system for dynamically evaluating the seismic performance of existing buildings based on digital twins, and relates to the technical field of building seismic evaluation. The method includes collecting building material data and existing building data, pre-processing based on the collected existing building data, adjusting the collected building data based on the main part and the secondary part, and constructing a digital model that is a twin of the existing building based on the building material data and the adjusted building data; model verification, comparing the constructed existing building model with the existing collection parameters, testing the existing building model with a simulated earthquake, presetting seismic damage data, and summarizing the seismic data for comparison with the seismic damage data. The present invention divides the existing building area into the main part and the secondary part. At the same time, the sampling frequency and accuracy of the main part and the secondary part are adjusted through an algorithm, thereby reducing the model complexity while maintaining the model accuracy and reducing the demand for computing resources.

The invention discloses a multi-source information fusion earthquake destructive influence field determination method and device, and relates to the field of earthquake influence field determination, and the method comprises the steps: obtaining multi-source information data; the multi-source information data comprises video stream data, WIFI state data and geographic information data; performing feature extraction processing on the multi-source information data to obtain feature extraction data; the feature extraction data comprises a video intensity index and a WIFI intensity index; performing information fusion on the feature extraction data to obtain fusion intensity information; performing optimization processing on the fusion intensity information by adopting space-time Kalman filtering to obtain a dynamic intensity field; projecting the dynamic intensity field to a GIS map to obtain a dynamic intensity contour line; the dynamic intensity isoline is used for displaying an earthquake influence range and intensity distribution so as to judge an earthquake influence field; the GIS map is determined based on the geographic information data. According to the method, the earthquake influence field can be quickly and accurately judged.

The present invention relates to the technical field of seismic damage identification of concrete structures, and particularly to a method, device, electronic device and storage medium for damage segmentation of damaged structures. Among them, the method includes: obtaining the original images of damaged RC structures to generate a training data set; performing annotation processing on the training data set to obtain an annotated data set; performing data augmentation on the annotated data set to obtain an augmented data set; constructing a damage segmentation model for damaged structures, and using the augmented data set to train the damage segmentation model for damaged structures to obtain a trained damage segmentation model for damaged structures; using the trained damage segmentation model for damaged structures to perform damage segmentation on the image to be segmented to obtain a segmentation result. By using a weighted multi-class cross-entropy loss function and an adaptive learning rate automatic scheduler for the learning rate scheduler, the efficiency of post-earthquake assessment work is greatly improved. Moreover, the established model architecture is concise, with a small number of parameters, suitable for local deployment, and has high practical engineering significance.

The invention provides a tunnel system safety evaluation method based on a unit danger coefficient. The tunnel system safety evaluation method comprises the following specific steps that surrounding rock and lining structure unit danger coefficients are defined; an anchor rod unit danger coefficient is defined, and danger coefficients of an anchor rod body and an anchor rod interface are defined; defining a surrounding rock-anchor rod-lining system and a safety evaluation index, defining the surrounding rock-anchor rod-lining system formed by a rock mass, an anchor rod and a lining within an anchor rod reinforcing range, and establishing a danger coefficient index of the surrounding rock-anchor rod-lining system; and a damage grading standard is established, and a tunnel damage grading standard based on the unit danger coefficient EDC is established in combination with a gravity dam earthquake damage analysis result. According to the method, the surrounding rock-anchor rod-lining system can be used for evaluation, the danger degree of the surrounding rock, the anchor rod and the lining of each part of the tunnel and the danger degree of the surrounding rock-anchor rod-lining system can be visually given, the stability of the tunnel can be evaluated very conveniently, and engineering design can be guided.

The application discloses an assembly underground station structure beam slab column joint pseudo-dynamic test device and method, belongs to the field of assembled underground structure seismic resistance technology, and comprises a test specimen model, a counterforce wall, a transverse actuating mechanism, a hinged support, a clamping support and a longitudinal actuating mechanism, the test specimen model is composed of multiple prefabricated components; the counterforce wall comprises vertically arranged counterforce wall vertical walls and horizontally arranged counterforce wall bases; the transverse actuating mechanism is fixedly arranged on the inner side of the counterforce wall vertical wall and connected with the top end of the prefabricated upper column, is used for transmitting reciprocating load to simulate transverse seismic action; the hinged support is fixedly connected on the counterforce wall base; the clamping support is fixedly connected with the test specimen model and is used for simulating earth pressure applied to the test specimen model on both sides of the station structure; the longitudinal actuating mechanism is fixedly connected on the counterforce frame, the longitudinal actuating mechanism acts on the top end of the prefabricated upper column and applies axial compression to simulate top earth pressure and road surface load. The application can intuitively simulate the seismic damage process and the form of the large underground structure joint.

The utility model discloses a low-cost shearing-rolling rubber shock insulation support which comprises an inner support body, an outer support body, an upper bolt and a lower bolt, the upper bolt and the lower bolt are embedded in an upper buttress and a lower buttress respectively, when a small earthquake occurs, the upper bolt and the lower bolt drive the support body to be subjected to shearing deformation to consume earthquake energy, and when a large earthquake occurs, the upper bolt and the lower bolt drive the support body to be subjected to rolling deformation to consume earthquake energy. The support can roll to a certain extent besides shear deformation, the horizontal rigidity of the shock insulation layer is further reduced, the earthquake action is reduced, and therefore the aim of effectively isolating or weakening the earthquake action in stages under the two mechanisms is achieved, and the structure is protected against earthquake damage is achieved. The shearing-rolling rubber shock insulation support can meet the requirements for reliability, stability and safety of low houses in villages and towns under the action of earthquakes; the utility model has the characteristics of simple structure, short production cycle, low cost, lightness and convenience, is convenient to construct and transport, and has wide application prospect.

The invention discloses a bridge earthquake damage rapid assessment method and system, and relates to the technical field of bridge earthquake damage assessment. According to the method, the acceleration response data of the key components of the bridge is taken as input, and the overall earthquake damage state of the bridge is quickly judged by constructing an association graph structure among the multiple components of the bridge and utilizing a graph neural network model. The method comprises the following steps: acquiring acceleration time history data of a bridge pier, a bridge abutment and a support under the action of an earthquake; preprocessing the acceleration time history data and extracting time sequence features; constructing a graph structure based on the response correlation of each component; and inputting the component features and the graph structure into the graph neural network model for reasoning, and outputting the earthquake damage level of the bridge. According to the method, multi-component damage information can be fully fused under the condition that the number of sensors is limited, the accuracy and efficiency of bridge post-earthquake damage evaluation are remarkably improved, and the method is suitable for post-earthquake emergency evaluation and bridge safety rapid judgment scenes.

This utility model relates to the field of bridge seismic resistance technology, and particularly to a seismic toughness protection structure for high-speed railway box girder bridges. The structure is installed in the gap between the pier and the main girder. It includes three sets of support blocks, each set comprising two support block units. The two support block units in the same set are spaced apart along the longitudinal direction of the bridge. Each support block unit is located near the top edge of the pier, and the vertical distance between the top surface of each support block unit and the bottom surface of the main girder does not exceed 4 cm. This design provides a displacement of more than 1 m in any horizontal direction after the main girder is dislodged, significantly improving the bridge structure's ability to withstand strong earthquakes. The support blocks ensure that the main girder maintains an upright posture after dislodging, preventing slippage and lateral collisions with the piers, thereby greatly reducing seismic damage to the main girder and pier foundations. Simultaneously, it effectively controls track deformation and damage, maximizing the safety of trains traveling on the bridge.

The present invention relates to the technical field of earthquake intensity prediction. Specifically, it relates to an earthquake intensity prediction method and device based on earthquake destructive force. The method includes the following steps: obtaining earthquake destructive force data of a target area; inputting the above earthquake destructive force data into a pre-established earthquake intensity prediction model to obtain the earthquake intensity of a target station, so as to accurately predict the earthquake intensity according to the building damage situation. Among them, the earthquake destructive force data is the ratio between various damage states of each type of building disaster-bearing body and the ratio between various damage states of the overall building disaster-bearing body. The earthquake intensity prediction model is obtained by training a machine learning algorithm based on historical earthquake intensity data and historical earthquake destructive force. The target area is the area adjacent to the target station.

The present invention discloses a bridge seismic vulnerability assessment method based on an influence line correction model, belonging to the technical field of bridge seismic vulnerability assessment, and comprising the following steps: S1: finite element model correction; S2: seismic vulnerability assessment. The present invention uses the measured bridge structure strain influence line as the target parameter and utilizes an artificial neural network to correct the bridge finite element model; performs seismic vulnerability analysis on the optimized model of the corrected bridge finite element model, imports 20 seismic motion records and 1 artificial seismic wave, extracts the displacement response of the bridge structure under different peak ground accelerations, plots the structural exceedance probability, and calculates the vulnerability matrix. Furthermore, an expression for the structural seismic damage index is constructed based on the β probability distribution, and a seismic damage comparison curve is plotted using the expected value of the seismic damage index, thereby achieving an accurate evaluation of the seismic resistance of existing bridge structures.

The invention relates to a structure period segment division method based on structure dynamic response similarity, which is characterized in that on the basis of structure dynamic response under seismic action, objective division of structure period segments is realized by constructing response characteristic matrixes corresponding to different structure periods and introducing a fuzzy clustering mechanism to perform unsupervised classification on the structure periods. According to the method, linear and non-linear structure response characteristics are considered at the same time, the optimal period segmentation number and the boundary threshold are determined in combination with the clustering effectiveness evaluation index, and a more accurate thought and method are provided for more rapidly evaluating seismic damage of the structure in the specific period range and matching input vibration of the structure in the specific period range.

The application relates to a soil-structure complex interaction finite element analysis method and device, which comprises the following steps: calling relevant material parameters from a material information database according to material naming; carrying out grid division on a soil body and a structure model, and extracting a material characteristic calculation unit stiffness matrix according to the material information database; determining the actual distance between contact surfaces with plastic displacement according to the plastic displacement between the soil and the structure; calculating the contact node force of each unit through a linear programming calculation method with a contact condition; calculating the unit node displacement and the plastic displacement through an initial stress method, and iteratively obtaining the displacement result, and judging the output strain and stress or re-modifying through a relative difference percentage. Compared with the prior art, the application has higher calculation efficiency for the constitutive of the soil body and the structure, can meet the needs of rapid seismic damage assessment under multiple scenes on one hand, and has strong transplantability on different research problems on the other hand.

The invention provides an earthquake damage RC component damage assessment method based on eye movement attention, and the method comprises the steps: constructing a damage building image data set containing different damage types and scenes, and carrying out the standardization processing; performing injury assessment by a professional engineer under an eye movement tracking device, and synchronously acquiring eye movement data; performing cleaning, track correction and thermodynamic diagram generation on the eye movement data, and constructing an attention map; a deep learning model fusing eye movement attention is designed, an original image and an attention map are spliced and input, features are extracted through an encoder-decoder structure, a feature pyramid is constructed, a cross entropy loss function and an Adam optimizer are adopted for model training and optimization, and a damage level is output. According to the invention, by introducing an expert eye movement attention mechanism, the reliability and interpretability of the deep learning model in post-earthquake assessment are significantly improved, and an effective technical means is provided for rapid and accurate earthquake damage assessment.

The utility model discloses a U-shaped damper damping cable support which comprises a bottom plate, a U-shaped damper installed on the bottom plate, a top plate installed on the U-shaped damper and a plate-shaped cable support vertically installed on the top plate, and a plurality of cable through holes are formed in the cable support. The U-shaped damper has the advantages that energy input by an earthquake is dissipated through hysteretic deformation of the energy dissipation section of the U-shaped damper under the action of the earthquake, the vertical plate-shaped cable support is provided with a plurality of cable through holes, horizontal displacement of a supported cable can be reduced, the cable is protected from being damaged by the earthquake, and the U-shaped damper is easy to replace after the earthquake, simple in structure and large in cable capacity.

The application relates to the technical field of disaster prevention and disaster reduction and resilience evaluation of urban infrastructure, and discloses an urban traffic system anti-seismic resilience evaluation system, which comprises a post-earthquake damage evaluation unit, an economic loss evaluation unit, a post-earthquake function evaluation unit, a repair and recovery simulation unit, a weak link identification unit, an anti-seismic resilience evaluation unit and a post-earthquake accessibility analysis unit. The system determines the self seismic damage state of roads and bridges through Monte Carlo simulation and traffic unit vulnerability curve, and determines the final damage state of the traffic unit in combination with the influence of the collapse of street buildings and the blocking of debris; direct economic loss and traffic capacity loss are calculated according to the final damage state, the repair and recovery process is simulated, the weak link is identified, the function-time curve is drawn, the resilience loss index is calculated, and the accessibility analysis of emergency services is carried out based on the post-earthquake road network state, so as to provide support for the anti-seismic planning of the urban traffic system and the post-earthquake repair decision.

The present invention discloses a comprehensive observation device for earthquake damage experiment of multi-cabin structure of underground pipe gallery, including an experimental model of multi-cabin structure of underground pipe gallery, an inflating device, a data acquisition instrument assembly and an experimental display and analysis terminal; the experimental model of multi-cabin structure of underground pipe gallery is a concrete structure and both ends of multiple cabins are sealed, and one cabin of multiple cabins is a gas cabin; the inflating device is used to fill the gas cabin with tracer gas; the data acquisition instrument assembly is used to detect the leakage of tracer gas in the gas cabin; the experimental display and analysis terminal is used to receive and analyze the tracer gas leakage detection information of the data acquisition instrument assembly, obtain and display the damage analysis results of the experimental model. The present invention can analyze and display the damage and gas leakage of the experimental model in real time, so as to study the accident scene and disaster mechanism of the damage of multi-cabin structure of underground pipe gallery in earthquake and the gas leakage caused thereby, and the experimental results are accurate and safe.