74 results about "Vulnerability curve" patented technology

The invention provides a source network collaborative planning method and system considering typhoon and wind power capacity credibility, and the method comprises the steps: carrying out the simulation of a typhoon wind field, calculating the theoretical fault rate of a line through employing a line vulnerability curve calculation method under a typhoon disaster, and obtaining the state of each power transmission line of the system; calculating the output power of the wind power plant unit by using the basic information of the power grid, and predicting the output sequence of the wind power plant unit in the typhoon wind field based on the simulated typhoon wind field; obtaining the fault probability of the power transmission line at each moment, generating a typical fault scene, and calculating the wind power credible capacity according to the state of each power transmission line of the system; and constructing a source-network collaborative planning model based on the output sequence of the wind power plant unit and the wind power credible capacity. According to the method, the problems of wind power plant unit output, wind power spinning reserve and line reinforcement planning in typhoon-free weather are solved, and the purposes of considering the load importance level and energy storage access and coordinating resources in the aspects of source-network-load-storage and the like during planning are achieved.

The invention provides an adjacent tunnel excavation disturbance vulnerability evaluation method based on Bayesian updating, which introduces a concept of system stiffness to represent uncertainty of tunnel damage caused by adjacent excavation disturbance, and brings obtained system stiffness data into an adjacent excavation disturbance model through a fitting equation. Calculating a large number of numerical values to establish a tunnel damage database; establishing an agent model between the parameters corresponding to the disturbance working condition and the tunnel damage index; collecting data for parameter characteristic statistics to obtain prior probability distribution of tunnel damage indexes, and combining engineering actual monitoring data for Bayesian updating to obtain posterior probability distribution of the tunnel damage indexes; and correcting the disturbance probability demand model by using the updated mean value and standard deviation of the tunnel damage indexes, and updating the vulnerability curve in combination with tunnel damage state threshold division and a logarithmic normal probability distribution function. The probability of different damage degrees of the tunnel structure can be made to fit the reality, and the applicability of an existing disturbance damage database is improved.

The invention discloses a bridge network anti-seismic performance rapid evaluation method based on capability spectrum analysis. The method comprises the following steps: firstly, carrying out finite element modeling on bridges in a regional bridge network needing to be analyzed by using OpenSees, extracting piers, and carrying out vulnerability analysis on the piers; a bridge vulnerability curve is obtained based on a capacity spectrum method, then the failure probability of the bridge in a certain damage state serves as a post-earthquake damage index, and the bridge failure probability is replaced by the post-earthquake failure probability of the corresponding road section; after the post-earthquake failure probability of each road section exists, all paths between a starting point and an ending point, namely, to-be-researched OD pairs in a network area are analyzed, the passing probability of each path after the earthquake is calculated based on the Bayesian theorem and an event independence calculation method, all the paths under the OD pairs are sorted according to the passing probability, and therefore the optimal passing path is obtained; and the path with small passing probability is avoided. According to the invention, a scientific basis is provided for regional bridge network anti-seismic planning and emergency management.

The invention discloses a PC bridge service state and vulnerability prediction method based on the Bayesian theory, and relates to the technical field of bridge service state and vulnerability evaluation, and the method comprises the steps: building a three-dimensional finite element model of a bridge; key parameters influencing the service state of the bridge are determined, the three-dimensional finite element model is operated, the mid-span deflection value and the average prestress loss value of each bridge sample at different moments are obtained, and a database is formed; a GRU proxy model for prediction is obtained through database training; aiming at a to-be-studied bridge, obtaining an actually-measured midspan deflection measured value of the bridge; using the key parameters of the bridge and the GRU agent model to obtain a mid-span deflection prediction value of the bridge; performing Bayesian parameter estimation according to the measured value and the predicted value of the mid-span deflection of the bridge, and estimating bridge parameters of the bridge, which conform to posterior probability distribution; and substituting the estimated bridge parameters conforming to the posterior probability distribution into the GRU agent model to obtain a time-varying curve of the mid-span deflection value and the prestress average loss value of the bridge, and a time-varying vulnerability curve of the bridge. According to the method, the relatively accurate bridge key parameters are calculated through Bayesian parameter estimation, and more accurate prediction can be achieved.

The embodiment of the invention provides an infrastructure system security assessment method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining an infrastructure undirected graph which is generated by a logic connection relation between a plurality of infrastructures in an infrastructure system; generating a vulnerability curve corresponding to each node in the infrastructure undirected graph; based on the vulnerability curve of each node, the simulation fault probability of each node is obtained; node division constraints of the infrastructure system are obtained, a similarity matrix is generated based on the simulation fault probability of each node, clustering division is carried out on the infrastructure system based on the similarity matrix and the node division constraints, multiple division subsystems are obtained, and each division subsystem at most comprises one fragile node; and carrying out security assessment on each divided subsystem to obtain a security assessment result of the infrastructure system, thereby greatly improving the accuracy and foresight of the security assessment result of the key information infrastructure cascade.

The invention provides a main shock and aftershock sequence side slope vulnerability analysis method and system based on double response indexes, and relates to the technical field of earthquake side slope vulnerability analysis, and the method comprises the steps: building a GeoStudio side slope model according to the physical parameters of a side slope soil body, and obtaining the initial static safety coefficient and critical acceleration of the side slope; performing incremental dynamic time history analysis according to the main earthquake ground motion data, the slope model and the initial static safety coefficient of the slope to obtain a soil shear strength parameter value after the main earthquake; updating the initial critical acceleration of the side slope to obtain the critical acceleration of the side slope after the main earthquake; performing aftershock increment dynamic time history analysis according to the aftershock oscillation data and the critical acceleration of the side slope after the main shock to obtain a safety coefficient value and an accumulated displacement result of the soil body after the aftershock; and defining a vulnerability function based on the logarithmic normal cumulative distribution function to obtain a multi-level slope vulnerability curve. According to the method, the slope risk assessment precision and the visual decision-making capability are improved.

The invention discloses an anti-seismic toughness evaluation method for an underground station structure, and belongs to the technical field of anti-seismic evaluation, and the method comprises the steps: building a finite element model of interaction of a soil-underground station structure, and selecting a natural seismic action as an input working condition; analyzing the vulnerability of the underground station structure based on an incremental dynamic analysis method, and constructing a vulnerability curve of the underground station structure; introducing an economic loss correction coefficient lambda L and a repair time correction coefficient lambda t to respectively determine economic loss rates and repair times of different damage stages, and obtaining an economic loss rate-seismic oscillation intensity curve and a repair time-seismic oscillation intensity curve according to the vulnerability curve; and selecting a proper recovery function to construct a station structure function curve, and calculating the toughness loss of the station structure through integration. According to the method, nonlinear characteristics of a soil body and input site vibration and site randomness are considered, average damage parameters are calculated according to unit area weighting, quantitative analysis is carried out on the structural damage state, and inaccuracy caused by intuitive judgment is overcome.

The invention discloses a river valley area bridge earthquake vulnerability intelligent evaluation and earthquake resistance optimization analysis method, and relates to the technical field of bridge structure earthquake resistance analysis. The method comprises the following steps: constructing a geological model of an area where a bridge is located and a three-dimensional structure model of the bridge; a plurality of monitoring points are arranged in a bridge and a river valley area where the bridge is located, and collected data are uploaded to a cloud data center through a wireless transmission subsystem; carrying out seismic oscillation time history analysis based on the digital twinborn body, and visualizing the weak part of the structure through a cloud picture by adopting an artificial wave and actual measurement wave mixed input mode; and generating a multi-objective optimization scheme according to the vulnerability curve. According to the method, seismic oscillation time history analysis is carried out based on the digital twin, an artificial wave and actually measured wave mixed input mode is adopted, a weak part of a structure is visualized through a cloud picture, a multi-target optimization scheme is generated according to monitoring data, the seismic monitoring efficiency and supervision strength of a bridge in a river valley area are improved, and a bridge reinforcement method is rapidly provided.

The invention provides a method for predicting the damage of a seismic isolation structure designed through a direct displacement method, and the method can be used for predicting the damage of the seismic isolation structure through the determination of a target value, the calculation of parameters of a seismic isolation layer and an upper building structure, the equivalence of a 2DOF model, and the extraction of 9 structure parameters and 13 seismic wave parameters of seismic waves from the design thought of the DDBD seismic isolation structure. According to the method, the vulnerability curve based on the target value can be quickly predicted through BO-XGBoost to intuitively guide the design of the seismic isolation structure of the DDBD, so that the method is quicker and more efficient, and is beneficial to perfecting the idea of the DDBD of the seismic isolation structure. The result shows that the prediction result is good, and good prediction precision can still be achieved under the condition of open set. A predicted vulnerability curve can be seen, and the predicted curve is close to real data and can be used as a reference for DDBD structure design. From a vulnerability curve, it can be seen that the DDBD design process can effectively enable the seismic isolation structure to reach an expected target under an earthquake.

The invention discloses a damage assessment method for a shallow-buried foundation bridge under a flood disaster. The method comprises the following steps: constructing a finite element model of the shallow-buried foundation bridge; introducing uncertainty of flood level height, foundation scouring pit length and scouring depth by applying a random Pushover method, obtaining bridge pier top yield displacement of the shallow foundation bridge under multiple groups of scouring working conditions, and calculating first two moments of logarithm of the flood-fighting capacity of the structure to obtain the flood-fighting capacity; performing flood-fighting demand analysis on the response of the shallow-buried foundation bridge in different flood washing environments based on a finite element reliability method; the flood-fighting capacity is compared with demand analysis, the failure probability of the shallow-buried foundation bridge under different working conditions is evaluated, fitting is conducted through the least square method, and a vulnerability curve of the shallow-buried foundation bridge is generated. According to the damage assessment method for the shallow-buried foundation bridge under the flood disaster, the influence of multiple factors such as the flow velocity and the scouring depth on the performance of the shallow-buried foundation bridge can be quantified, and the damage state of each stage of the shallow-buried foundation bridge is effectively assessed.

The invention provides a reinforced concrete member damage assessment method, system, equipment and medium, and belongs to the technical field of structural damage assessment, and the method comprises the steps: constructing a fire response feature knowledge base containing fire physical test data and simulation data of a reinforced concrete member, training the machine learning agent model by taking component design parameters and fire working condition parameters of the reinforced concrete component in the knowledge base as input parameters and taking post-fire component response data as output parameters to obtain a prediction model for predicting direct physical damage indexes of the post-fire reinforced concrete component; constructing a fire vulnerability curve representing the relationship between the failure probability and the fire intensity based on the prediction model; and receiving parameters of a to-be-evaluated component, and generating and outputting a damage evaluation result of the component based on the prediction model and the fire vulnerability curve. According to the invention, through data and model collaborative optimization, high-efficiency and accurate post-fire reinforced concrete member damage evaluation is realized.

The invention discloses a buried pipeline earthquake vulnerability analysis method based on three-parameter square normal distribution, belongs to the field of civil engineering and earthquake engineering, and solves the problem of failure probability calculation deviation caused by the fact that an existing logarithmic normal distribution model cannot accurately reflect skewness characteristics of structural response data. The method comprises the steps of generating seismic oscillation input data, establishing a buried pipeline finite element model, performing nonlinear time-history analysis, extracting pipeline response data, calculating buried pipeline failure probabilities based on three-parameter square normal distribution under different seismic oscillation intensities, and drawing a vulnerability curve. According to the method, a complete system covering seismic oscillation simulation, buried pipeline response analysis and seismic vulnerability analysis is constructed, and the calculation precision of the buried pipeline seismic failure probability is improved by introducing three-parameter square normal distribution capable of accurately reflecting the structure response data skewness characteristics; therefore, an earthquake vulnerability model which is wider in application range and higher in precision is provided.

The invention discloses a ship impact resistance toughness evaluation method for a long-piled wharf, and belongs to the technical field of port engineering, and the ship impact resistance toughness evaluation method for the long-piled wharf comprises the following steps: collecting information of the long-piled wharf and a ship; acquiring a displacement ductility ratio data set of the pile foundation of the high-pile wharf under different ship masses and different impact speeds; establishing a corresponding relation between the damage index and the damage state of the pile foundation of the high-pile wharf; the damage probability and the exceeding probability of the high-pile wharf in different damage states under different ship masses are obtained, and vulnerability curves of the high-pile wharf in different damage states are generated; carrying out recoverability analysis on the high-pile wharf; and establishing a high-pile wharf toughness evaluation index system. According to the method, vulnerability analysis and recoverability after impact of the ship on the high-pile wharf are scientifically disclosed from the perspective of probability theory, full-chain closed-loop analysis of impact process simulation, damage probability and toughness quantitative evaluation is realized, and the overall safety of the high-pile wharf is improved.

The present invention discloses a method for predicting the collapse risk of transmission towers considering the cumulative damage during typhoon processes, including: modeling the time-varying risk assessment process of transmission towers as a Markov process, establishing a transfer probability matrix of transmission towers and determining the corresponding relationship between the vulnerability curve and each element in the transfer probability matrix; based on multi-state vulnerability, according to the established risk prediction model, using finite element numerical analysis, performing limit state definition, wind-induced response analysis and statistical analysis fitting to obtain a multi-state transmission tower vulnerability curve library; combining the time-varying wind field prediction information, obtaining the transfer probabilities between various states of the transmission tower from the vulnerability curve library, and filling the transfer probabilities between various states of the transmission tower into the transfer probability matrix to realize the time-varying prediction of the collapse probability of the transmission tower and the failure probability of the transmission line. The present invention considers the possible initial damage of the transmission tower during the prediction process and realizes a more reliable prediction of the collapse risk of the transmission tower.

The invention provides an underground structure vulnerability analysis method, device and equipment and a storage medium, and relates to the technical field of underground structure anti-seismic analysis. The method comprises the following steps: establishing a regional geophysical model by setting attributes of a seismic source, attributes of an underground structure, attributes of a soil layer and a finite fault type; calculating seismic oscillation data corresponding to a plurality of nodes of different dimensions of the regional geophysical model by using a finite difference method; a target probability seismic demand model is determined based on the seismic oscillation data, and interlayer displacement angle limit values under different performance levels are obtained by performing push-and-cover analysis on the underground structure; and drawing a vulnerability curve based on the target probability seismic demand model and the inter-layer displacement angle limit value. According to the method, the device and the equipment for analyzing the vulnerability of the underground structure and the storage medium provided by the invention, the seismic oscillation data is acquired by considering various factors such as the geological environment of the underground structure and the seismic source attribute, and the accuracy of the vulnerability analysis of the underground structure is improved.

The present invention discloses a method for evaluating the progressive collapse vulnerability of structures by combining static and dynamic probabilistic analyses, comprising the following steps: (1) obtaining the design parameters affecting the progressive collapse resistance of the structure; a sample set of design parameters; (2) constructing corresponding static and dynamic progressive collapse deterministic numerical models; establishing corresponding sub-models according to the sample set; (3) performing Pushdown analysis; (4) performing non-linear displacement time history analysis under different load intensities; (5) fitting to obtain the probability density function of the progressive collapse resistance of the structure and calculating the corresponding mean value and standard deviation; (6) fitting to obtain the probability density function of the progressive collapse load effect of the structure and calculating the corresponding mean value and standard deviation; (7) obtaining the scatter points of the progressive collapse vulnerability of the structure; (8) obtaining the progressive collapse vulnerability curve of the structure; the present invention obtains accurate vulnerability assessment results.

The present invention discloses a method for assessing the vulnerability of a commutating branch tower to wind disasters that takes into account the variation of material parameters. When calculating the wind-induced response of a commutating branch tower, a sampling operation is used to consider the variation patterns of various structural material parameters, and an intelligent prediction model is used to learn the relationship between wind speed and the mean and standard deviation of structural demand indicators. Finally, the exceedance probability of the structure under a series of wind speed values ​​is predicted to form a comprehensive wind disaster vulnerability result that takes into account the variation of multiple structural material parameters. The method of the present invention provides a more accurate exceedance probability assessment based on the existing wind disaster vulnerability assessment of transmission towers, taking into account more uncertain risks. The present invention considers the uncertainty of multiple types of variation parameters through random sampling, reducing the amount of calculation. By using an intelligent prediction model, the quantitative relationship between wind speed and exceedance probability, as well as the relationship between wind speed and multiple types of material parameters and exceedance probability are obtained. Under a specified wind speed, the exceedance probability can be calculated more quickly through the intelligent prediction model, and vulnerability curves or surfaces under multiple wind speeds can be obtained, greatly improving the analysis efficiency.

This invention discloses an LSTM-driven dynamic prediction method and system for the operational resilience of integrated utility tunnels, relating to the field of deep learning. The method includes: acquiring vibration acceleration time histories, extracting peak acceleration and vibration energy accumulation time history curves, and generating a dynamic angle sequence; correcting the baseline vulnerability curve to obtain a dynamic damage probability curve, substituting the peak acceleration and vibration energy accumulation values ​​of the cross-section into the curve, and outputting a time-varying damage index sequence; identifying critical cross-sections with abrupt changes in the damage index, calculating the average damage index using the critical cross-section as a dividing point, and determining functional bottleneck sections; obtaining the average damage index and the redundancy of subsequent alternative paths, calculating the overall functional degradation rate of the utility tunnel, and obtaining the functional recovery multiple; calculating the initial recovery time, inputting it into a pre-trained dynamic time-series prediction model, and outputting the corrected final recovery time. This invention solves the problem of low prediction accuracy and high misjudgment rate in the prediction of the operational resilience of integrated utility tunnels due to the reliance on static experience for rough estimation in existing technologies.

The invention discloses a power transmission tower collapse risk forecasting method considering accumulated damage in a typhoon process, and the method comprises the steps: modeling a time-varying risk assessment process of a power transmission tower into a Markov process, building a power transmission tower transition probability matrix, and determining a corresponding relation between a vulnerability curve and each element in the transition probability matrix; based on the multi-state vulnerability, according to the established risk forecasting model, performing limit state definition, wind-induced response analysis and statistical analysis fitting by utilizing finite element numerical analysis to obtain a multi-state transmission tower vulnerability curve library; and in combination with time-varying wind field forecast information, obtaining transition probabilities among various states of the power transmission tower from the vulnerability curve library, and filling the transition probabilities among various states of the power transmission tower into a transition probability matrix to realize time-varying prediction of the collapse probability of the power transmission tower and the failure probability of the power transmission line. According to the method, the possible initial damage of the transmission tower in the forecasting process is considered, and more reliable collapse risk prediction of the transmission tower is realized.

The invention discloses a flood disaster vulnerability curve model construction method, which comprises the following steps of: selecting an optimal daily scale extreme precipitation threshold and an optimal continuous day number, and carrying out grid-by-grid calculation to obtain annual total extreme precipitation data corresponding to a precipitation parameter combination; carrying out statistics on the land coverage change data and the slope data by adopting a density calculation method to obtain a corresponding weight matrix; in combination with the weight matrix, rasterizing county-level annual total loss data obtained through statistics by county and year; and based on the rasterized county-level annual total loss data and annual total extreme rainfall data, dynamically constructing a flood disaster loss curve by adopting a deep learning multi-objective optimization four-parameter Logistic function. The technical problems that in the existing flood disaster loss curve construction process, the data size is insufficient, precision is low, and the method is limited to flood events or local cities and cannot be popularized to a large scale and a large range can be solved.

This invention relates to the field of disaster prevention and mitigation technology for marine engineering structures, and discloses a method for plotting vulnerability curves of guide seawall structures based on random load combinations. The method includes: constructing a nonlinear finite element model of a deep-water guide seawall; introducing a two-dimensional phase coupling vector to generate random dynamic load samples containing temporal coupling characteristics of earthquakes and waves; inputting the samples into the model, tracking the structural frequency drift in real time and considering pore flow abrupt change damping, and calculating the multidimensional dynamic response of the structure; constructing a multidimensional dynamic limit state surface that shrinks with cumulative plastic damage, and determining the failure state based on the relative relationship between the dynamic response and the state surface; estimating the failure probability using extreme value statistics theory, and establishing a probabilistic demand model containing cross-coupling terms of earthquake and wave intensity; and plotting a vulnerability surface describing the change of the failure probability with bivariate strength indices based on this model. This invention can accurately assess the dynamic reliability of deep-water guide seawalls under the coupling effects of multiple disasters.

This invention discloses a method for obtaining the wind-induced vulnerability curve of transmission towers based on failure probability, relating to structural engineering technology. The method includes the following steps: establishing a probability distribution model of the extreme response of the transmission tower to wind load; constructing a probability distribution model of the structural bearing capacity of the transmission tower; obtaining the failure probability based on vulnerability analysis using Latin hypercube sampling; plotting vulnerability curves with wind speed as the horizontal axis and failure probability as the vertical axis, drawing curves under different failure criteria to obtain vulnerability curves based on failure probability; performing vulnerability analysis in conjunction with engineering estimates to obtain the loss rate; plotting vulnerability curves; and finally, plotting a curve with wind speed as the horizontal axis and loss rate as the vertical axis to obtain vulnerability curves based on engineering estimates. This invention's method is characterized by its high efficiency in analytical calculation and is suitable for analyzing the failure probability and loss rate of transmission towers in engineering contexts.

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 invention relates to the technical field of anti-seismic safety of power systems and structures, and provides a multi-source data intelligent-driven power transmission line earthquake risk prediction method and system in order to solve the problems that in the prior art, a model is single in applicable object, cannot be dynamically updated and lacks risk closed-loop management. The multi-source data intelligent driving power transmission line earthquake risk prediction method comprises the steps of processing an actual earthquake wave time history by using a continuously updated mixed deep learning model, and predicting a top displacement time history of a power transmission line to serve as a power transmission line dynamic response index; comparing the predicted top displacement time history of the power transmission line with a known structural performance limit value of the power transmission line, judging a structural performance state of the power transmission line and a corresponding risk level of the structural performance state, and converting the predicted top displacement time history into occurrence probabilities of different structural performance states by using a vulnerability curve method; the method has the characteristics of high prediction precision and strong adaptability, and can realize real-time risk early warning.

The present invention discloses a method for analyzing the vulnerability of a vertical storage tank to buckling failure under the coupling of flood and hurricane. The method comprises the following steps: determining the basic information of the vertical storage tank; determining the force acting on the vertical storage tank; calculating the resistance load of the vertical storage tank; calculating the external force acting on the vertical storage tank; establishing the limit state equation of the buckling failure of the storage tank under the coupling of flood and hurricane according to the judgment basis of the buckling failure of the storage tank; using the Monte Carlo simulation method to count the number of buckling failures of the target storage tank and calculate the failure probability; drawing the vulnerability curve of the storage tank under the coupling of flood and hurricane, and analyzing the influence of different wind speeds, water speeds, water depths and filling rates on the storage tank. The present invention can accurately calculate the buckling failure probability of the vertical storage tank under the coupling of flood and hurricane, and provide a strong basis for the vulnerability assessment of chemical process equipment under the coupling of multiple disasters.

The invention discloses a method for evaluating vulnerability of progressive collapse of a structure by combining static and dynamic probability analysis. The method comprises the following steps: (1) obtaining design parameters influencing progressive collapse resistance of the structure; designing a parameter sample set; (2) constructing a corresponding static and dynamic progressive collapse deterministic numerical model; establishing a corresponding sub-model according to the sample set; (3) carrying out Pushdown analysis; (4) carrying out nonlinear displacement time-history analysis under the action of different load strengths; (5) fitting to obtain a progressive collapse resistance probability density function of the structure, and calculating a corresponding mean value and a standard deviation; (6) fitting to obtain a structure progressive collapse load effect probability density function, and calculating a corresponding mean value and a standard deviation; (7) obtaining progressive collapse vulnerable scatter points of the structure; (8) obtaining a progressive collapse vulnerability curve of the structure; according to the invention, an accurate vulnerability evaluation result is obtained.

The present application provides a kind of wave action under breakwater and revetment structure's impact toughness evaluation method and system, comprising: the hydrological data of the area where breakwater and revetment structure are integrated, obtain representative wave hydrological characteristic value;Collect the design site information of the breakwater and revetment structure to be evaluated, determine the dominant failure mode and corresponding engineering demand parameter, and give the engineering demand parameter value under specific wave according to formula, numerical or physical model;The engineering demand parameter value is compared with vulnerability curve, and the damage grade of the breakwater to be evaluated and its probability distribution are obtained;According to the three performance indicators of casualty rate, economic loss rate and repair efficiency, the loss caused by different damage levels is evaluated, and the resilience evaluation index is calculated based on the decision proportion, and the resilience evaluation result is formed.It is logical, scientific and reasonable, and has strong operability, and the performance indicators considered are highly feasible, and has practical application value.

The application discloses a structure vulnerability evaluation method based on model updating hybrid test, and belongs to the technical field of anti-seismic performance evaluation. The purpose is to solve the problem of low precision and lack of applicability of the traditional vulnerability evaluation method of large complex civil engineering structures. The application combines online model updating technology, structure hybrid test technology and vulnerability calculation method to obtain the overall structure anti-seismic vulnerability curve. Firstly, 10-20 representative seismic records are selected, and the intensity parameters of the seismic records are ensured to be uniformly distributed; secondly, the selected seismic records are used for model updating hybrid test based on the SRCKF algorithm to obtain structure seismic response data; finally, the failure probability is calculated based on the structure damage index and the structure damage probability density function obtained by the test to obtain the structure vulnerability curve. The scheme provided by the application has the beneficial effect of improving the vulnerability evaluation precision of large complex civil engineering structures.

The application provides a vulnerability curve model construction method and device of a power transmission tower and electronic equipment, and the method comprises the following steps: obtaining experimental data of a scaled power transmission tower model of the power transmission tower under multiple different landslide impact working conditions; determining the damage level of the scaled power transmission tower model of the power transmission tower under each working condition according to the maximum horizontal displacement of the experimental tower top and a preset damage level table; determining the exceeding damage probability of each type of damage level corresponding to each target actual landslide impact force according to the experimental landslide impact force under each working condition and the damage level under each working condition; and performing nonlinear fitting on each target actual landslide impact force and the exceeding damage probability of each damage level corresponding to each target actual landslide impact force to construct a vulnerability curve model of the power transmission tower in a landslide disaster process. The construction of the vulnerability curve model of the power transmission tower under the landslide disaster process is realized.

The present invention relates to a time-varying vulnerability analysis method for cable-stayed bridges based on structural configuration and Bayesian networks, comprising the following steps: Step S1: Define external loads, cable-stayed bridge systems, and each component as nodes of a variable-structure discrete dynamic Bayesian network (VDDBN), and pre-define the VDDBN topology; Step S2: Consider the time-varying models and their uncertainties of structural parameters and external loads, and construct the VDDBN through parameter learning; Step S3: Input evidence into the VDDBN to infer the posterior probabilities of all nodes in all time slices, calculate the vulnerability probabilities of components to establish time-varying vulnerability curves of components, and finally establish the time-varying vulnerability curve of the structure through clustering. The present invention can effectively analyze the changes in the vulnerability of cable-stayed bridge systems over time history, providing reliable data for the safety and reliability of cable-stayed bridge systems.