59 results about "Seismic analysis" patented technology

The invention relates to the technical field of computer-aided anti-seismic analysis, and discloses an anti-seismic performance simulation test method and system for a concrete-filled steel tube structure, and the method comprises the steps: obtaining a parameter set of the concrete-filled steel tube structure; identifying a critical buckling mode and constructing a defect correction model; constructing a coupling damage index; constructing a numerical instability risk evaluation value based on the structure energy proportion; carrying out strong earthquake nonlinear time-history iterative solution; and outputting the anti-seismic performance index set and the coupling failure area. Compared with the prior art, the technical problem that Newton iteration divergence is prone to occurring in numerical solution under the coupling instability condition that traditional nonlinear finite element analysis is relied on for strong earthquake response calculation, especially when a steel pipe is subjected to local buckling and core concrete enters a high-pressure three-axis stress state is solved. Due to the fact that the local buckling and crushing damage coupling index and the self-adaptive time step length adjusting mechanism are constructed, the stability of the anti-seismic performance simulation result of the concrete-filled steel tube structure under the strong earthquake effect is improved.

The invention provides an urban water supply system anti-seismic analysis method based on a multi-fineness digital twinborn model, and belongs to the technical field of intelligent disaster prevention and digital twinborn of urban infrastructure systems. Constructing a topological network model and a hydraulic model of the city-level pipe network; constructing a multi-fineness parameterized numerical model library, and designing a dynamic scheduling engine based on event response; constructing a bidirectional data conversion interface and a unified semantic framework, and constructing a multi-fineness digital twin model; performing simulation by using the multi-fineness digital twin model to obtain a real-time simulation result; based on the real-time simulation result, the comprehensive state of the urban water supply system is visualized, an emergency decision is made, and anti-seismic analysis of the urban water supply system is completed; the problems of precision and efficiency imbalance, collaborative decision-making obstacle and serious lagging of disaster scene response existing in anti-seismic analysis of an existing urban water supply system are solved.

The invention belongs to the technical field related to tunnel anti-seismic analysis, and discloses a green function analytical method and equipment for rayleigh wave dynamic coupling response of an interval tunnel in an inclined field. The method comprises the steps that S1, soil deformation and displacement in the x direction and the y direction caused by Rayleigh wave propagation are converted into tunnel equivalent seismic loads in the x direction and the y direction through a viscoelastic geobasic structure model; s2, a Timoshenko beam model on a viscoelastic Pasternak foundation is adopted to establish a partial differential equation set for controlling axial and transverse dynamic displacement responses of longitudinal discrete units of the interval tunnel; s3, deducing four Green functions representing the bidirectional dynamic coupling response of the tunnel in combination with a Green function method and an artificial spring boundary; and S4, performing integral operation on the Green function by using a superposition principle, and introducing an exponential function term containing time t to obtain axial displacement and transverse displacement of the tunnel and corresponding axial and transverse dynamic coupling response coefficients. According to the invention, the solving efficiency is improved.

The invention is suitable for the technical field of seismic analysis, and provides a cross-fault tunnel fault movement-seismic oscillation decoupling analysis method and device and a terminal. The method comprises the following steps: establishing a finite element model of a cross-fault tunnel-surrounding rock; based on the dual-objective optimization function of the seismic wave, determining the separation frequency of a fault movement component and a seismic oscillation component in the current seismic wave, and obtaining fault movement component data and seismic oscillation component data from the seismic wave in the simulation area; the fault movement component data and the seismic movement component data are converted into equivalent seismic loads; and applying the equivalent seismic load to the finite element model for finite element calculation, and determining the seismic response rule of the tunnel lining under the action of the seismic motion field and the fault displacement field. According to the method, the optimal separation frequency of the seismic oscillation component and the fault movement component is determined by using the dual-objective optimization function, so that the influence of different seismic wave components on the tunnel structure is researched, and a reference basis is provided for adopting targeted anti-seismic measures for tunnel seismic resistance.

The invention discloses a reservoir water fluctuation propagation direct numerical simulation method and device in gravity dam anti-seismic analysis, a medium and equipment. According to the method, fluctuation propagation in reservoir water under combined incidence of P waves and SV waves is considered, a reservoir water-foundation site free field is analyzed and calculated on the basis of the fluctuation theory and the potential function theory, then the site free field is converted into node counterforce on fluid and solid boundaries on the basis of a fluid and solid power artificial boundary substructure model, and the reservoir water-foundation site free field is obtained. Applying node counterforce on the reservoir water-foundation artificial boundary, and directly performing numerical simulation on reservoir water-foundation site free field response; based on a static-dynamic artificial boundary conversion method, considering the influence of the static effect of the gravity dam-reservoir water-foundation system on the dynamic effect of the system, and constructing a gravity dam seismic oscillation input model for directly simulating reservoir water fluctuation propagation; according to the method, the anti-seismic analysis precision of the gravity dam is improved, and the limitations of single-wave incidence during reservoir water fluctuation propagation simulation, failure to consider the static effect and the like are overcome.

The invention provides a rebuilt underground structure earthquake analysis method combined with a reaction acceleration method, and the method comprises the steps: building an overall structure calculation model which comprises a foundation and a soil body around an underground structure, and the overall structure calculation model comprises an overground structure, the underground structure, the soil body around the underground structure, and the loads of the overground structure and the underground structure; carrying out response spectrum seismic analysis without considering the weight and inertia force of an underground structure and a soil body; then, canceling lateral constraint of a soil body boundary around an outer wall of the underground structure, and carrying out response acceleration method analysis on the underground structure; and performing most disadvantageous superposition and combination on the members of the underground structure in the overall calculation model according to internal force calculated by response spectrum seismic analysis and a response acceleration method, and performing aseismic design of the members. According to the method, the interaction influence of the site soil body, the underground structure and the overground structure can be quickly and conveniently considered, simplified calculation of the earthquake action of the rebuilt underground structure is achieved, and aseismic design can be carried out.

This invention provides a method for characterizing sedimentary microfacies distribution based on comprehensive geological and seismic analysis. By studying the sedimentary environment and surrounding tectonic background of the entire block, this invention calculates the cumulative percentage of channel and shoal body types based on sedimentary microfacies and grain size analysis. Based on a comprehensive analysis of the lithofacies of drill cores and corresponding well logging curves and seismic response characteristics, it establishes a comprehensive response model of the main sedimentary facies-well logging facies of the target stratigraphic group in the study area. Furthermore, based on the fusion of seismic attributes, it characterizes sand bodies in seismic profiles. By integrating the sand body characterization results, the comprehensive response model of sedimentary facies-well logging facies, and the sedimentary microfacies types, a method for characterizing sedimentary microfacies distribution in tight sandstone reservoirs using comprehensive seismic and geological analysis is established.

The invention discloses a seismic response analysis method for a magnetic levitation line axle coupling system with a seismic isolation support. The method comprises the steps that a motion equation of the magnetic levitation line axle coupling system considering nonlinear mechanical behaviors of the seismic isolation support under the seismic action is constructed; and solving the motion equation by considering equivalent linearization and separation iteration to obtain the dynamic response of the maglev line vehicle and the bridge. According to the method, a bridge model considering the nonlinear hysteresis behavior of the seismic isolation support and a magnetic track interaction model based on PID active control are established, and unified seismic analysis is carried out on strong nonlinear energy consumption of the seismic isolation support and specific active control dynamics of a magnetic levitation vehicle; the problem that an existing universal axle coupling analysis method cannot be directly applied to the complex system is solved.

The RC column concentrated plastic hinge model research method based on lateral stiffness relates to the structural seismic technology field; the method aims to solve the problem that the simulation precision of the existing concentrated plastic hinge model is influenced by the value of the multiplier n, and the function relationship between the spring rotation stiffness and the component lateral stiffness is established, without defining the multiplier n; the specific steps include deducing the concentrated plastic hinge series model unit stiffness matrix of the cantilever column, establishing the function relationship between the rotation stiffness and the lateral stiffness, designing the state updating algorithm based on the displacement loading control, verifying the accuracy of the new model, and comparing the precision of the existing model; the experimental results show that the simulation precision of the model is improved significantly, the nonlinear behavior of the RC column can be accurately simulated without the multiplier n, and the method has important practical significance; the method has been successfully applied to the seismic analysis of a plurality of typical RC frame structures, not only simplifies the calculation process, but also improves the calculation efficiency, provides a more reliable and convenient tool for the structural seismic design, and has high popularization value.

This application discloses a well-seismic analysis system, method, and equipment based on a tight sandstone geomechanical coupled lithofacies system, relating to the field of tight sandstone oil and gas extraction analysis. The system employs a four-element composite triangular diagram method in its classification model construction module to construct a geomechanical coupled lithofacies classification model for tight sandstone reservoirs based on information data. The integration module performs geomechanical coupled lithofacies classification and integrates multi-type lithofacies prediction results at the single-well level based on element difference data. The analysis and determination module, based on a well-seismic collaborative three-dimensional model of the tight sandstone reservoir's geomechanical coupled lithofacies, performs feature extraction, lithofacies classification feedback adjustment, and seismic attribute mapping of the geomechanical coupled lithofacies to determine the distribution information data of the tight sandstone geomechanical coupled lithofacies. This application can determine the heterogeneous distribution law of rock mechanics and geostress characteristics in tight sandstone reservoirs, providing a basis for improving the extraction efficiency of tight sandstone oil and gas.

The invention belongs to the technical field of curtain walls, and particularly relates to a forming process for irregular modeling of curtain wall petals, which comprises the following steps: a designer and a curtain wall engineer closely cooperate, and the modeling of the curtain wall petals is deeply designed by utilizing computer-aided design and computer-aided engineering software based on a building design drawing; the processing technology, the installation sequence and the structural rationality are fully considered, and the feasibility of the design scheme is ensured; performing wind pressure and anti-seismic analysis on the petals of the curtain wall according to the design scheme; and an accurate three-dimensional model of the curtain wall petals is established, and data export is performed on the established three-dimensional model. According to the method, deepening design and digital modeling are carried out by adopting various software, and the structure is simulated, analyzed and optimized by virtue of the three-dimensional model, so that the design precision is ensured, the material waste and the processing difficulty can be reduced, and the high requirement of irregular modeling on the design precision is met.

This invention discloses a method, apparatus, and equipment for determining formation thickness based on combined gravity and seismic data. The method includes: extracting the vertical derivative of the Bouguer gravity anomaly in the target basin; regularizing the vertical derivative of the Bouguer gravity anomaly to obtain a regularized value; determining the formation thickness at several well points and in three-dimensional regions within the target basin based on seismic and well data; and establishing a formation thickness prediction function for the target basin based on the regularized value of the vertical derivative of the Bouguer gravity anomaly and the formation thicknesses at several well points and in three-dimensional regions, thereby determining the formation thickness of the entire target basin based on the formation thickness prediction function. This method not only reduces the uncertainty of difference caused by data sparsity when using only seismic data but also solves the drawback of existing gravity interface inversion techniques lacking seismic constraints.

The utility model discloses a strong earthquake analysis and processing device based on earthquake data, relates to the technical field of earthquake analysis equipment, and provides the following scheme aiming at the problems that in the prior art, when the strong earthquake analysis and processing device is used, a support used in cooperation with the strong earthquake analysis and processing device is inconvenient to store and has adverse effects on storage and movement of the equipment. An inclined frame is fixed to the top of the protection box, a cover plate is rotatably connected to the top of the inclined frame, a sliding block is connected to the outer wall of one side of the cover plate, supporting plates are rotatably connected to the inner walls of the two ends of the sliding block, and a placement plate is fixed to the bottoms of the supporting plates. When the device is transferred, the two rotating screw rods drive the adjusting block in threaded connection to descend, so that the placing plate and the earthquake analyzer are stored in the protection box along with the adjusting block, and meanwhile, the placing plate pulls the cover plate through the supporting plate and the sliding block, so that the cover plate is closed at the top of the inclined frame; and the whole device can be conveniently moved.

The invention relates to a ground motion field simulation method based on a river valley site terrain effect, which is mainly applied to the field of slope anti-seismic analysis of water-power engineering. The method comprises the following steps: firstly, aiming at topographic features of a symmetric V-shaped river valley, constructing a planar model by combining a cylindrical SH wave theory, obtaining a seismic wave propagation rule and scattering characteristics by solving a wave field structure, and verifying a topographic amplification effect by utilizing actually measured data; and carrying out seismic oscillation execution foundation terrain simulation, flood discharge tunnel outlet slope simulation and landslide accumulation body simulation in three stages. According to the method, three types of simulation results are integrated, and the most unfavorable seismic oscillation input scheme for engineering anti-seismic analysis is determined, wherein seismic oscillation peak acceleration data of the wave-facing side during horizontal incidence are adopted by a flood discharge tunnel outlet slope and a landslide accumulation body. By means of the method, efficient coupling simulation of the river valley terrain effect and the non-uniform seismic oscillation field is achieved, and theoretical support is provided for aseismic design of complex site slopes.

The invention provides an urban subway tunnel post-earthquake trapped person quantity analysis method and device, and relates to the technical field of civil engineering structure earthquake resistance. The method comprises the following steps: establishing an earthquake analysis model of a site where a city is located, and calculating an earthquake motion field distribution condition in a target earthquake scene; carrying out statistics on typical characteristics of the urban subway tunnel, constructing a tunnel-soil body fine standard model of each typical characteristic, and inputting seismic waves into the models to obtain a corresponding relation between a seismic motion field and a tunnel damage state; determining a ground motion field at the position of each subway tunnel, and calculating the probability of occurrence of different damage states of each subway tunnel according to the corresponding relation; and based on the urban subway line operation data and the passenger data, determining the personnel distribution condition of each subway tunnel at different time, and calculating the number of trapped people in the subway tunnel after the earthquake. According to the method, the evaluation result of the number of people trapped in the urban subway tunnel after the earthquake in different earthquake scenes can be realized, and a scientific and reasonable tool can be provided for pre-disaster defense and post-disaster emergency.

The embodiment of the invention discloses a non-stationary seismic oscillation generation method and device, electronic equipment and a storage medium, and relates to the technical field of seismic engineering, and the method comprises the steps: 1, generating a seed seismic oscillation time history based on a power spectrum model; 2, performing wavelet packet decomposition on the seed seismic oscillation time history to obtain a group of sub-signal components in a time-frequency domain, and identifying a strong seismic time period; 3, constructing a time-varying function, and correcting sub-signal components in a strong earthquake time period; 4, reconstructing and generating an intermediate seismic oscillation time history according to the adjusted sub-signal components, and judging whether the intermediate seismic oscillation time history meets a preset precision requirement or not; if not, taking the intermediate seismic oscillation time history as a new seed seismic oscillation time history, and repeating the steps until a preset precision requirement is met; through time domain localization correction, the contradiction between response spectrum matching and intensity non-stationary maintenance is solved, seismic oscillation which accords with a target response spectrum and has real non-stationary characteristics is generated, and the reliability of anti-seismic analysis is improved.

The invention relates to a method for evaluating the correlation of anti-seismic deformation capability of a bridge structural member, which comprises the following steps of: firstly, collecting bridge pier column engineering parameters such as reinforcement ratio, axial compression ratio and the like and an anti-seismic deformation capability quantitative index, and dividing into a training set and a test set after sample screening, feature optimization and data conversion; then, constructing a Gaussian process regression model fusing a mixed effect and a multi-output kernel function so as to synchronously describe association among multiple damage states; the optimal kernel function is screened through training, hyper-parameters are optimized, and finally based on a trained model, two types of correlation of'different damage states of the same component 'and'the same damage state of different components' are scientifically quantified. According to the design, the defects of a traditional experience hypothesis method are overcome, automatic and accurate quantification of the anti-seismic deformation capacity correlation is achieved through data driving, and a reliable result of convergence verification lays a solid foundation for bridge pre-seismic anti-seismic analysis, post-seismic damage rapid evaluation and anti-seismic design optimization.

The invention relates to the field of prediction of lacustrine facies high-quality hydrocarbon source rocks in an offshore less-well / no-well area, and discloses a lacustrine facies high-quality hydrocarbon source rock small sample machine learning quantitative prediction method and system based on geological condition constraints. The fault activity rate of the depression in the hydrocarbon source rock development period is larger than an activity rate threshold value, and the stratum thickness is larger than a thickness threshold value; for depression of the selected hydrocarbon source rock, determining a high-quality hydrocarbon source rock development layer section according to geological conditions of high-quality hydrocarbon source rock development through paleotemperature, nutrition degree and water reducibility analysis; determining seismic facies characteristics of the high-quality hydrocarbon source rocks according to well seismic analysis, and depicting a seismic facies distribution range of the high-quality hydrocarbon source rocks on the basis of seismic sequence analysis; and based on a small sample machine learning method, establishing a quantitative relationship between the seismic facies of the lacustrine facies high-quality hydrocarbon source rocks and the TOC of the lacustrine facies high-quality hydrocarbon source rocks, and carrying out high-quality hydrocarbon source rock distribution prediction on a target region so as to improve the quantitative prediction precision of the lacustrine facies high-quality hydrocarbon source rocks in the less-well / no-well region on the sea.

A nuclear power plant post-earthquake long-term safety management method belongs to the nuclear power field. The method comprises the following steps: establishing an earthquake response action matrix, wherein elements in the matrix comprise two dimensions of an actually measured damage level and an actually measured level relative to a design level; based on earthquake PSA analysis, performing earthquake response action grade assignment on each element, and providing a corresponding long-term response measure list; after an earthquake occurs, the earthquake consequences are matched with elements in the earthquake response action matrix, and corresponding response measures are executed. The method can effectively improve the response efficiency of the nuclear power plant to the earthquake disaster, optimizes the decision reasonability, and improves the safety and economy of the nuclear power plant to the earthquake disaster.

This invention belongs to the field of seismic design technology for railway bridges, and relates to a seismic analysis method for railway bridges using a variable friction coefficient friction pendulum bearing for seismic isolation and vibration reduction. This method is used to determine the design displacement D of the variable friction coefficient friction pendulum bearing; specifically, it includes the following steps: establishing an equivalent period T based on the design parameters of the variable friction coefficient friction pendulum bearing. eff The relationship between the coefficient of friction and the variable friction coefficient; based on the bridge design conditions, the relationship between the equivalent period and the acceleration response spectrum value is established, and S(T) is obtained. eff Determine the damping adjustment coefficient η; equivalent damping ratio ξ; establish support displacement and equivalent period T. eff S(T) eff By considering the relationship between η and η, and combining it with Newton's iteration process, the final support displacement D is determined. This invention saves time by using analytical expressions for calculation, avoiding tedious modeling, long computation times, and convergence issues compared to the finite element model nonlinear time history analysis method. This allows for rapid evaluation of the seismic performance of different support parameters and structural configurations during the scheme design, parameter optimization, and preliminary design stages.

The invention relates to a plate-type fuel assembly anti-seismic performance analysis method, analysis system and equipment and a readable storage medium. The plate-type fuel assembly anti-seismic performance analysis method comprises the following steps: establishing a plate-type fuel assembly single assembly mechanical analysis model, and carrying out rigidity and modal analysis in two mutually independent horizontal directions to obtain a first analysis result; and comparing first test data of the single-component mechanical property measurement test, and iteratively adjusting model parameters to make the two consistent. Building a multi-component anti-seismic analysis model based on the model, and carrying out dynamic response analysis in two directions to obtain a second analysis result; and comparing second test data of the fuel assembly seismic response measurement test, and iteratively adjusting the parameters to make the second test data accord with the second test data. And inputting an earthquake displacement time history to perform dynamic response analysis, calculating anti-seismic performance data and comparing the anti-seismic performance data with a design limit value to complete anti-seismic performance evaluation. Accurate simulation and performance evaluation of the vibration response of the plate-type fuel assembly under the seismic load can be realized.

This invention provides a prospecting method for halite-type carnallite, comprising the following steps: 1) Locating the center of potassium salt accumulation through lithofacies paleogeography, mineralogy, and petrology analysis; 2) Analyzing the characteristics of carnallite on well logging curves through geophysical logging and comparison with actual rock cores, summarizing the well logging response characteristics that differ from other lithologies, and establishing a well logging identification model; 3) Utilizing 3D seismic data, obtaining the tectonic deformation and potassium-bearing salt layer distribution characteristics through well-seismic calibration and forward and inverse tectonic evolution analysis; then, based on rock physics testing, seismic attribute analysis, and forward modeling methods; and finally, establishing a seismic inversion framework model under complex tectonic deformation conditions to determine the distribution characteristics of carnallite-bearing salt layers. This invention is rationally conceived and can determine the distribution range of ore bodies through multi-hole logging, 3D seismic analysis, and multiple methods including mineralogy, sedimentology, and geochemistry.

The invention discloses a micro-seismic analysis task dynamic assignment method for multiple coal mines. The method is used for solving the problems that traditional micro-seismic analysis tasks are low in distributed processing efficiency and high in delay rate. According to the method, micro-seismic analysis tasks are generated on the basis of micro-seismic events uploaded by mines in real time, and a heterogeneous parallel machine assignment scheduling model with the aim of minimizing the number of delay tasks is established in combination with available time windows and processing capacity of analysts. And generating a scheduling scheme by adopting a scheduling algorithm based on a task sequence, and optimizing the scheduling scheme by adopting a genetic algorithm. And after the task is completed, the system updates an analyst load and a time window. According to the method, the task delay rate is remarkably reduced and the calculation efficiency is improved while the task scheduling reasonability is ensured, and the method has good expansibility and practicability and can be widely applied to scenes such as coal mine micro-seismic monitoring and disaster early warning.

The application discloses a fault information independent near-fault pulse type ground motion selection method, belonging to the field of earthquake engineering and structural seismic analysis, and comprises the following steps: step 1, firstly, according to a target risk level, a target peak ground acceleration PGA of a site is determined through a ground motion parameter zoning map; a PGV / PGA recommended value is obtained by inquiring a pre-established PGV / PGA recommended value table according to the PGA value; and secondly, ground motion selection is carried out for the target site; step 2, based on a conditional parameter, it is assumed that the conditional parameter and a spectrum shape parameter joint vector conform to a multivariate normal distribution in a logarithmic space, and the conditional mean vector and the conditional covariance matrix of the four spectrum shape parameters are calculated from a ground motion database as target statistical characteristics by utilizing the conditional distribution properties; and step 3, a two-stage optimization algorithm is adopted to select matched ground motion. The application is free from fault information dependence, effectively incorporates the pulse effect, has strong practicability, is simple to operate, and has good risk consistency.

This application provides a data acquisition method, a self-contained seismograph, equipment, and medium for a self-contained seismograph, relating to the field of earthquake monitoring technology. The method, by integrating a low-energy-consumption first sensor and a high-precision second sensor into the self-contained seismograph, employs a method where the first sensor continuously acquires initial vibration signals and compares them with a preset vibration signal threshold to determine the presence of abnormal events. Only when an abnormal event is detected is the power module activated to supply power to the second sensor to acquire target earthquake data. Power is then deactivated after acquisition. This approach ensures continuous data acquisition using the low-energy-consumption first sensor when no abnormal events are detected, reducing overall energy consumption, extending equipment runtime, and lowering monitoring costs and maintenance workload. Simultaneously, it enables timely activation of the high-precision second sensor to acquire accurate target earthquake data when an abnormal event is detected, providing a reliable basis for subsequent earthquake analysis and improving the accuracy and effectiveness of earthquake monitoring.

A computer-implemented method, and non-transitory computer readable medium for improving the precision of First Arrival (FA) picking in seismic data acquired from vibroseis sources. The method includes determining estimated FA picks using seismic traces and shifting the estimated FA picks to shot points that are within a predetermined window and have highest positive peaks to obtain enhanced FA picks, and then narrowing the enhanced FA picks to refine coherence of trace-to-trace FA picks to obtain accurate FA picks. The accurate FA picks are used to redraw a FA line between FA picks. This redrawn FA line offers an optimized representation of the seismic FA picks, enhancing the accuracy and reliability of seismic data interpretation. The resultant FA line is outputted, thereby providing a sophisticated tool for seismic analysis.

The application discloses a seismic wave forward simulation method, device and equipment and a storage medium. The method comprises the following steps: constructing a marine geology model, setting a seismic wave field to be excited from a set depth of a shot point position, generating an upgoing wave and a downgoing wave, loading a last round of a geophone wave field as a secondary virtual field source at a position above the shot point during propagation of the downgoing wave, and simultaneously propagating a real field source and the secondary virtual field source at a position below the shot point; during propagation of the upgoing wave, only the secondary virtual source propagates below the shot point, and the upgoing wave above the shot point contains a real shot point signal and a secondary virtual field source signal; after iterative calculation, multiple wave and ghost wave information of marine seismic data are simulated and separated, and accurate seismic wave data are obtained, so that the marine seismic data can be used for marine seismic analysis, and the accuracy of marine seismic situation analysis is improved.

A kind of dam-foundation dynamic interaction effect quantitative evaluation method belongs to the field of water conservancy engineering seismic safety analysis. The steps are as follows: first, the finite element analysis model of foundation free field and dam-foundation coupling is established respectively, and the dynamic time history analysis is carried out to obtain the seismic response results; second, the dynamic response data of each characteristic point of the two models is obtained, the free field influence factor components of all characteristic points are calculated, and the single-index free field influence factor is obtained; if multiple dynamic response evaluation indexes need to be selected for comprehensive evaluation in actual engineering analysis, multiple dynamic response evaluation indexes are selected to calculate the comprehensive free field influence factor; finally, the single-index free field influence factor or the comprehensive free field influence factor is compared with the threshold value, and the significant degree of dam-foundation dynamic interaction effect is quantitatively determined. The present application is simple in modeling, high in calculation efficiency, and can provide direct and quantitative decision basis for the selection of seismic input method in high earth-rock dam seismic analysis.

This invention provides a method for predicting source rocks in deep, well-free areas, comprising: constructing a stratigraphic velocity model; obtaining a three-dimensional stratigraphic structure image based on the stratigraphic velocity model and seismic data from the deep, well-free area, and performing seismic interpretation to determine the potential distribution range of source rocks; constructing a paleogeographic model based on the sedimentary facies and paleogeographic conditions of the deep, well-free area; constructing a tectonic model based on tectonic feature data; constructing a three-dimensional geological model based on the paleogeographic model, the tectonic model, and the stratigraphic data of the deep, well-free area; determining the distribution range of source rocks in the three-dimensional geological model; and overlaying the potential distribution area of ​​source rocks obtained from seismic analysis with the distribution range of source rocks obtained from the three-dimensional geological model to determine areas favorable for source rock distribution. By comprehensively utilizing seismic imaging and geological modeling methods, the accuracy of predicting the distribution of source rocks in deep, well-free areas is improved.

This application discloses an integrated assessment method and device for multivariate seismic vulnerability of tunnels that incorporates physical priors, relating to the technical field of seismic analysis and seismic risk probability assessment of underground engineering structures. The method includes: generating predicted samples based on a logarithmic domain joint distribution description; inputting each predicted sample into a heteroscedastic moment estimation substitution model to obtain predicted values ​​of the conditional mean and conditional variance of the logarithmic domain demand response; reconstructing and dynamically anchoring the conditional marginal distributions of each response based on the predicted values ​​and residual information, and coupling each anchored conditional marginal distribution to obtain a multi-response joint probability model; calculating the point-state failure probability of each projected sample under a preset damage state based on the multi-response joint probability model, constructing discrete sample pairs; and fitting each discrete sample pair to obtain seismic vulnerability curves under each preset damage state. This application improves the accuracy, robustness, and engineering usability of tunnel seismic vulnerability assessment.