131 results about "Structural analysis" patented technology

A systematic framework for optimizing multi-stage axial compressor disk designs in gas turbine engines. By combining finite element analysis (FEA), Design of Experiments (DOE), and optimization algorithms of multi-objective genetic algorithm (MOGA), the method balances stress, deformation, and mass to enhance structural performance. The six-step process includes blade modeling, parameterizing disk geometry, structural analysis using FEA, developing functional relationships, applying optimization algorithms, and generating manufacturable 3D disk models. This approach reduces weight, improves fuel efficiency, and adapts to various compressor designs and materials, enhancing the overall performance of gas turbine engines.

The present invention discloses a method for predicting the static behavior of a bridge based on dynamic loading, comprising the following steps: establishing a full-bridge structural analysis model according to the design data of the existing bridge; conducting dynamic loading tests on the existing bridge to obtain the bridge dynamic response values; performing sensitivity analysis on each design parameter in the initial structural analysis model to obtain and determine the key design parameters to be corrected that affect the bridge structure; based on the uniform design sampling method, using machine learning intelligent algorithms, constructing training samples of the key design parameters to be corrected and establishing a surrogate prediction model; correcting the initial structural analysis model using the prediction results of machine learning and intelligent algorithms; predicting the static behavior of the bridge based on the corrected structural analysis model; introducing an error analysis method to evaluate the prediction results of the bridge static force. The beneficial effects of the present invention are: reducing the cost of the bridge static load test, reducing the damage to the bridge's own structure, and having high prediction result accuracy.

The invention discloses an unmanned aerial vehicle fire extinguishing and rescue system which comprises an emergency command module, a communication navigation emergency command module, an electromagnetic gun window breaking module, a fire extinguishing strong detection module, a rapid rescue module, a self-adaptive building structure analysis module, a self-adaptive deformation structure module and a reconnaissance aircraft module. The invention breaks through the limitation of the traditional fire-fighting operation, solves the problems of height limitation and indoor complex environment maneuvering of the traditional aerial ladder truck, obviously improves the fire rescue efficiency of the super high-rise building, reduces the manual intervention delay, improves the utilization rate of golden rescue time by more than 40%, integrates the functions of window breaking, fire extinguishing and medical rescue, and improves the safety of the super high-rise building. Through millimeter-wave radar life monitoring and precise air-drop, the exposure risk of firemen and trapped persons is reduced, and intelligent and automatic iteration of fire-fighting equipment is promoted.

The invention relates to the field of bridge damage rapid assessment, in particular to a bridge damage rapid assessment method based on residual displacement, which comprises the following steps: determining the section structure and stress condition of a pier; calculating the yield curvature and the limit curvature of the damaged section; according to the yield curvature and the limit curvature, respectively calculating the maximum displacement of the pier top when the damaged section yields and is damaged; building a pier column fiber unit model or a finite element model, applying forces corresponding to the maximum displacement of the pier top when the damaged section is yielded and damaged to the pier top, and then unloading to obtain the residual displacement when the damaged section is yielded and damaged; and the post-disaster bridge pier top residual displacement is measured on site and compared and evaluated. According to the method, the relation between the residual displacement and the section damage degree is established, the bridge damage rapid assessment method is provided, compared with an investigation comprehensive assessment method, the method is more objective, compared with a load test assessment method, the method is more economical, compared with a traditional structure analysis and calculation assessment method, complex initial defects do not need to be established, and calculation is simpler and more convenient.

The invention discloses a non-linear analysis method in a multi-arch structural plane considering translation and rotation of arch feet. The non-linear analysis method comprises the following steps: 1) deducing a geometric non-linear equilibrium equation in the multi-arch structural plane under the action of a vertical uniformly distributed load; 2) introducing a multi-arch boundary condition, and deducing to obtain a vertical displacement approximate analysis in a balance path considering translation and rotation nonlinearity of an adjacent arch structure; 3) further obtaining a relational expression between the dimensionless load of the multiple arches and the dimensionless load parameters; 4) deducing a multi-arch nonlinear branch point buckling equilibrium differential equation, and obtaining a critical load approximate analysis according to an internal force condition of multi-arch branch point buckling; 5) deducing to obtain approximate analysis of the multi-arch nonlinear jump buckling critical load.By means of the method, complex solving through finite element software can be avoided, and the calculation cost and workload of multi-span arch structure analysis are reduced.

The invention relates to a large document analysis model, a training method and a multi-task document structured analysis method, which are suitable for the fields of artificial intelligence, computer vision and natural language processing. The model comprises a visual coding module used for extracting an image feature vector from a document page image, and the extraction of the image feature vector comprises the step of capturing a dependency relationship on a spatial dimension and a channel dimension by adopting a double attention module; the visual feature projection module is used for mapping the image feature vector extracted by the visual coding module from a visual feature space to a feature space of the text decoding module to generate a visual projection feature vector; and the text decoding module is a large language model based on a Transform decoder architecture, and is used for generating document space layout information or document content corresponding to the document processing task on the document page image based on the visual projection feature vector and the token sequence after word segmentation of the cue word of the document processing task.

The invention belongs to the technical field of modular buildings, and particularly relates to a simplified modeling and optimal design method for a transverse connection node of a modular building. Comprising the steps that 1, parameters of a test piece are obtained, modeling is conducted through a layered shell unit, key calculation data are obtained, and a constitutive relation of a double-node unit is constructed; step 2, establishing an elastic-plastic finite element model of the high-rise modular shear wall structure; 3, carrying out elastic-plastic analysis on the model, recording structural response, and calculating damage parameters; and 4, judging whether to adjust the component design parameters or not according to the damage parameter limit value. According to the method, a double-node unit constitutive structure of bending / shearing behaviors is constructed through layered shell simulation data, a damage evaluation model under multistage earthquakes is established, the reinforcement ratio and the post-cast section width are optimized based on the damage overrun degree, and a closed loop of the construction model, structural analysis, damage evaluation and parameter optimization is formed. And a design platform with adjustable and controllable anti-disaster performance is provided for the high-rise modular building.

The invention relates to the technical field of computer aided design, in particular to a heat energy storage heat recovery rate evaluation method based on finite element analysis, which comprises the following steps: importing a CAD geometric model of a heat energy storage system, analyzing the topological relation, shape attribute and component naming information of the geometric model, and acquiring original data of geometric characteristics. According to the method, a functional area system is constructed based on original data of geometric features, classification operation of a fluid domain, an energy storage material domain and a heat transfer channel is completed in a structural analysis stage, and an initial binding relation between structural attributes and functional attributes is formed. In the material parameter and grid division processing process, directional configuration of material thermophysical property parameters is achieved through structural function mapping, meanwhile, heterogeneous grid parameters and partition control precision and density are set for a fluid boundary layer and a phase change area, and the resolution capacity for details of the heat transfer process is enhanced.

The invention relates to the technical field of data processing, and discloses a building structure automatic design method and system based on artificial intelligence. The method comprises the steps that a collaborative building information model is constructed by collecting building design task data, load analysis and rigidity parameter calculation are carried out, a Timoshenko beam model is constructed, a structural arrangement prediction result is generated in combination with graph network optimization, a parameterized modeling program is input to generate a building structure model, and multi-working-condition analysis is completed to obtain a structural design scheme. Design documents and construction information are automatically generated, and a parameter and analysis result corresponding relation database is established. By integrating modeling, structural analysis and design document generation, the problems of intelligent collaboration and efficient output in the whole process of structural design are effectively solved.

The embodiment of the invention provides a permission topological structure construction method and device based on the lowest permission, and the method comprises the steps: carrying out the structural analysis and classification of request data from an identity management platform, carrying out the parameterized replacement, obtaining an unpublished interface path template, and storing the unpublished interface path template in a database; establishing a mapping relationship between the unpublished interface path template and a preset identity management platform permission model to obtain an unpublished interface parameter structure, and fusing the unpublished interface parameter structure with the existing interface parameter structure to obtain a centralized interface parameter structure; under the lowest permission role, starting from an initial node of the centralized interface parameter structure according to a task scheduling engine and a graph operation model, performing multi-hop breadth traversal along a member relationship, role binding and a permission operation path, determining a corresponding permission map, performing fine-grained dependency extraction on the permission map, and updating the permission map according to the dependency relationship, according to the method and the device, the security and the management efficiency of the identity and access management platform can be improved.

The invention relates to the technical field of plate turnover machine alignment control, and provides a turnover alignment control method and system of a single-face and double-face plate turnover machine. The method comprises the following steps: carrying out structure analysis on a turnover target, and identifying an alignment key point and a structure feature; establishing a pre-overturning / post-overturning coordinate transformation relation, and calculating a post-overturning theoretical position based on the current pose; predicting the overturning deviation based on the theoretical position, and analyzing the compensation parameter and controlling the compensation when the deviation exists; and obtaining a time sequence process alignment parameter, carrying out secondary alignment on the overturning target by using the time sequence process alignment parameter, confirming completion and joining the next process. The technical problems that the alignment precision is low and the turnover deviation cannot be effectively compensated due to the structural difference or inaccurate target pose recognition when a traditional plate turnover machine performs single-face and double-face turnover are solved, and the technical effects that the turnover alignment precision is improved through secondary alignment and procedure connection treatment, and automatic procedure connection is achieved are achieved.

The invention belongs to the technical field of pressure vessel structure analysis, and particularly relates to an intelligent reduced basis finite element method for rapidly analyzing the deformation behavior of a pressure vessel. According to the method, a finite element method is improved by adopting a reduced basis method, an online and offline combined solution mode is developed, after design parameters such as a structure size, a load type and size, material attributes and the like are preset, a reduced basis space is obtained by adopting an offline solution mode, and then a mapping relation between a reduced basis solution and a finite element solution is established; according to the method, order reduction of a finite element model is achieved, the degree of freedom of a problem is reduced, the calculation amount needed by solving a linear algebraic equation set through a traditional finite element method is greatly reduced while the precision is guaranteed, a Gaussian process regression method is further introduced to describe the elastic-plastic deformation behavior of the pressure vessel, and therefore the deformation behavior of the pressure vessel is rapidly solved.

The invention relates to the technical field of bridge parametric modeling, in particular to a terrain-adaptive complex bridge parametric modeling method, which comprises the following steps: S1, terrain data acquisition and processing: acquiring high-precision terrain data through a laser radar, unmanned aerial vehicle photogrammetry or a GIS (Geographic Information System), and generating a digital elevation model; s2, bridge parameterization rule definition: inputting bridge main control parameters including a span range, a bridge width, a bridge height, material attributes and a load standard, and constructing an adaptive rule base, S3, parameterization model generation: based on topographic features and the rule base, automatically generating a bridge axis plane line shape and a longitudinal section, and dynamically arranging a bridge pier position, generating a three-dimensional model of the inclined pier column, the pile foundation and the main beam; s4, structural analysis and optimization: exporting the model to finite element analysis software, and verifying stress, displacement and anti-seismic performance; design automation is achieved through the parameterization rule base, the span, the pier column and the main beam are intelligently optimized, and the design efficiency and economical efficiency are remarkably improved.

The invention discloses a deep foundation pit structure crack AI intelligent monitoring control method and system, and relates to the technical field of civil engineering structure health monitoring, and the method comprises the following steps: S1, measurement positioning: obtaining project control points of a field working face and feature data of foundation pit structure side lines, and carrying out positioning recheck based on positioning data of a positioning system; s2, unmanned aerial vehicle scanning: guiding the unmanned aerial vehicle to move in the deep foundation pit site based on the measurement positioning data, and scanning the site by a pre-loaded scanning radar to obtain point cloud data of the deep foundation pit structural surface; s3, modeling: modeling based on the point cloud data, identifying structure change features based on a model, and marking feature attributes; and S4, structural analysis and early warning: outputting a structural abnormity prompt based on the annotation information, and recording change information of the structure based on a time sequence for structural evolution analysis and prediction. The method has the effect of improving the monitoring effect of the deep foundation pit crack.

The embodiment of the invention discloses a stratum denudation data determination method and device, equipment and a medium. The method comprises the following steps: determining a target layer, a Shanghai generic surface and a Shanghai generic surface of which stratum denudation data needs to be calculated; wherein the upper marine flooding surface is located above the top surface of the target layer and closest to the top surface of the target layer, and the lower marine flooding surface is located below the bottom surface of the target layer and closest to the bottom surface of the target layer; determining denudation points according to the target layer and the underlying stratum; wherein the underlying stratum is a stratum located between the bottom surface of a target stratum and a lower sea flooding surface; and determining the stratum denudation amount according to the thickness between an upper line extending upwards in the stratum direction from the denudation point and the bottom surface of the target stratum. According to the scheme, the stratum denudation amount can be determined more accurately and quickly according to the stratum characteristics and the seismic data which are easy to obtain, higher practicability is achieved, and basic data are provided for later-stage structural analysis, hydrocarbon source rock evolution, oil and gas accumulation condition analysis and the like.

The application discloses a kind of quantitative description fault inversion process method based on balanced section, comprising the following steps: S1: selecting geological profile;S2: division different inversion stage sequence stratigraphy;S3: determine the geologic time of different activity stages of inversion fault;S4: use balanced section technology to restore the evolution history of inversion fault;S5-S7: calculate the slip distance of different stages inversion fault, and calculate the slip rate, inversion intensity coefficient of different inversion stages;S8: establish equivalent point distance, total slip distance, slip rate and inversion intensity coefficient trend chart with geologic time variation, the application is suitable for basin structural analysis technical field, introduce balanced section technology, can more accurately restore fault inversion process;Moreover, can clearly, accurately, quantitative characterization fault inversion process from fault slip distance, the activity intensity of different stages and inversion intensity etc., facilitate different inversion structure contrast, basin structural analysis etc. work is carried out.

The invention relates to a salt structure identification method and system based on a seismic wave velocity structure and anisotropy, and belongs to the field of oil and gas resource exploration. The method comprises the following steps: carrying out micro-seismic identification and seismic phase arrival time pickup processing on continuous natural seismological observation data; inversion is carried out on a natural seismic data set obtained through microseismic recognition and seismic phase arrival time pickup processing by using a tomography method containing anisotropy; and identifying the position and form of the salt structure based on the three-dimensional wave velocity structure and anisotropic distribution of the block obtained by inversion and the average wave velocity value of the gypsum salt layer of the block. According to the method, the underground velocity structure and anisotropy are obtained by using continuously recorded natural seismic signals, and the position and form of the salt structure can be judged according to the velocity and deformation difference between the salt structure and the surrounding rock and the cover layer. The key result is crucial to regional structure analysis and searching for favorable oil and gas structures.

This invention belongs to the field of reactor structural mechanics technology, specifically relating to a method for analyzing and evaluating high-temperature bolted connection sealing structures. The invention includes the following steps: selecting the location of the reactor pressure vessel flange and main bolt connection as the object of sealing structure analysis; analyzing and summarizing the influence of gasket data on the deformation and contact surface pressure of various components of the flange bolted connection structure; researching current standards and analyzing their limitations; using the finite element software ANSYS to perform finite element modeling of the reactor pressure vessel flange and main bolt structure; applying loads and constraints to the finite element model of the reactor pressure vessel flange and main bolt structure; calculating the deformation and stress of the structure using different creep and relaxation models; analyzing the relaxation behavior of the high-temperature flange bolted connection structure using experimental methods; and comparing and analyzing the results of the finite element method, the standard method, and the experimental method. This invention enables the analysis and evaluation of the sealing performance of flange bolted connection structures under high-temperature environments.

The invention relates to the technical field of ocean engineering, and discloses a hydrodynamic load quick correction method for a large-diameter cylinder structure, which comprises the following steps of: establishing a digital model of a mixed structure comprising the large-diameter cylinder structure and defining a load working condition; aiming at the working condition, calculating an initial hydrodynamic load and an accurate hydrodynamic load according to a Morison formula and a three-dimensional potential flow theory respectively; generating a corresponding hydrodynamic load correction coefficient according to the ratio of the accurate hydrodynamic load to the initial hydrodynamic load; finally, the correction coefficient is applied to the initial hydrodynamic load, and the corrected hydrodynamic load is obtained and used for structural analysis. According to the method, the rapid calculation result is calibrated through the pre-generated correction coefficient, the problem that calculation efficiency and precision are difficult to consider at the same time in the prior art is solved, and the load calculation efficiency and engineering applicability are improved on the premise that the calculation precision is guaranteed.

The present invention belongs to the field of construction machinery, and particularly relates to a method for testing the load of a swing bearing frame structure, which includes bolt strain gauges, inclination sensors, pressure sensors, a data acquisition module, and a data analysis system; the specific testing method is as follows: Drive the construction machinery onto a horizontal plane, and embed bolt strain gauges in several fixed bolts between the outer ring of the swing bearing and the upper frame structure; horizontally install an inclination sensor on the outer ring of the swing bearing; install pressure sensors at the inlet and outlet of the swing motor; the bolt strain gauges, inclination sensors, and pressure sensors are respectively connected to the data acquisition module through strain acquisition lines, and the data acquisition module is signal-connected to the data analysis system; Drive the construction machinery with all kinds of testing equipment assembled to the specified testing position, adjust the upper vehicle mechanism to the specified parking posture, and perform data zeroing processing on all the collected data. The present invention reduces the heavy vehicle modeling work and can quickly output the load spectrum required for the analysis of the lower vehicle structure.

The invention discloses concrete test block strength detection equipment, and belongs to the technical field of civil engineering material detection equipment. Comprising an external frame mechanism, a supporting module and a vertical loading mechanism, an external motor and a reciprocating friction part are arranged, reciprocating loading is performed on the edge area of a test block by means of an inclined contact edge, the stress state of the concrete edge under actual stress conditions such as bending and shearing is simulated, the breaking strength and the elastic modulus of the concrete can be accurately detected, and the test efficiency is improved. A friction loading mechanism is used for measuring the local elastic modulus of the edge of a test block and the microcosmic crack propagation characteristics, test data support is provided for structural analysis, material selection and durability evaluation, the device can be wholly overturned by 90 degrees, detection is carried out in a transverse posture, the working stress state of a beam and slab type concrete member is more truly simulated, and the test efficiency is improved. The engineering representativeness and the application value of a detection result are improved, and after detection is completed, ordered classification and temporary storage of the test blocks are completed through cooperation of a turnover supporting arm and a storage structure.

The application discloses a kind of engine cooling fan assembly strength calculation method based on one-way fluid-solid coupling, comprising: the geometric model of cooling fan assembly is established;Utilize the finite element model of cooling fan assembly and external flow field generated by mesh division software;In structural analysis software, respectively, to cooling fan and fan support plate is endowed with material mechanics characteristics, and boundary condition is set;In computational fluid dynamics software, set the turbulence model and boundary condition of external flow field;Blade surface is set as fluid-solid coupling surface, first solve flow field using computational fluid dynamics software, pass blade surface pressure in calculation result to finite element software by interpolation, and finite element software is used as boundary condition to simulate and analyze the structural strength of cooling fan assembly, and obtain cooling fan assembly strength.The application improves the accuracy of the model and ensures the calculation efficiency by taking the aerodynamic pressure load on the blade as the boundary condition when predicting the structural strength of the cooling fan.

The present invention provides a finite element modeling and analysis method and system for the compressive resistance of micropiles, which relate to the technical field of civil engineering structure analysis. First, geometric components such as the pile body structural morphology, cross-sectional characteristics, and distribution mode of the micropile are determined. Then, based on the geometric components, a material constitutive relationship covering the description of the mechanical properties of the pile body material and the surrounding medium is established. Then, interaction parameters such as the contact behavior and interface characteristics between the pile body and the surrounding medium are set according to the material constitutive relationship. Then, combined with the interaction parameters, the compressive loading process of the micropile under axial load is simulated and a load application sequence is generated. Finally, based on the load application sequence, the compressive response characteristics of the micropile are analyzed to obtain a compressive performance characterization result, thereby accurately simulating the compressive resistance process of the micropile.

The present invention discloses a hydraulic tunnel safety monitoring and early warning method, system, and electronic device. The method comprises: obtaining structural parameters of a hydraulic tunnel concrete structure and using the structural parameters to establish a finite element model of the hydraulic tunnel concrete structure; calibrating the finite element model based on engineering safety monitoring data to generate a calibrated structural analysis model; using the structural analysis model to identify the most unfavorable stress points of all failure conditions in the hydraulic tunnel concrete structure; and establishing an early warning indicator system based on the failure process and numerical relationship of the most unfavorable stress points, thereby providing risk early warning for the hydraulic tunnel concrete structure. The technical solution provided by the present invention solves the problem of the lack of safety early warning indicators for hydraulic tunnel concrete structures.

The present application belongs to the technical field of oil and gas bearing basin favorable exploration zone research, and particularly relates to a method and device for evaluating favorable zones based on dynamic evolution of fault properties and effects. The evaluation method comprises stress field characteristic analysis, structural profile characteristic analysis, basin structure analysis, fault system and structural pattern characteristic analysis, favorable zone selection and exploration target selection steps. The present application considers that under the superimposed action of multiple phases, different directions and different properties of stress, the properties of faults (reverse faults, normal faults, strike-slip faults) also undergo alternating evolution of waxing and waning, and the effects of different properties of faults on oil and gas transport, reservoir fracture structure, oil and gas sealing and preservation also differ. The present application analyzes the property evolution of faults and their control effect on oil and gas reservoirs from the perspective of spatiotemporal dynamic evolution, and predicts favorable exploration zones, thereby indicating the direction for fine exploration.

The invention provides a finite element modeling analysis method and system for compression resistance of a micro pile, and relates to the technical field of civil engineering structural analys.The finite element modeling analysis method comprises the steps that firstly, geometric components such as the pile body structural form, the section characteristics and the distribution mode of the micro pile are determined; a material constitutive relation covering pile body materials and surrounding medium mechanical property description is established on the basis of the geometric constituent elements, and then interaction parameters such as contact behaviors and interface characteristics of the pile bodies and the surrounding media are set according to the material constitutive relation; the method comprises the following steps: firstly, acquiring interaction parameters of a micro pile, then simulating a compressive loading process of the micro pile under the action of an axial load in combination with the interaction parameters and generating a load applying sequence, and finally analyzing compressive response characteristics of the micro pile based on the load applying sequence to obtain a compressive property characterization result, thereby accurately simulating the compressive process of the micro pile.

The invention relates to the technical field of pumping units, and discloses a pumping unit gravitational potential energy self-adaptive recovery power generation system and a control method thereof.The pumping unit gravitational potential energy self-adaptive recovery power generation system comprises a data extraction module, an energy detection module, an optimization intervention module, a cooperative control module, a structure analysis module and a feedback module; and an intelligent energy recovery system with a data closed loop, an autonomous adjustment capability and a cross-domain cooperation mechanism is constructed. Compared with a system which depends on single sensor feedback and cannot realize deep collaboration or real-time response in the prior art, the system has the advantages that the stability judgment precision, the energy recovery efficiency, the control strategy self-adaptability, the equipment maintenance visualization and the like are remarkably improved, and by introducing a multi-dimensional coupling coefficient and a physical structure analysis model, the stability of the system is greatly improved. And the conversion of the system from'passive control 'to'active optimization' is realized.

The present invention is a method for analyzing the dynamic response of long-span floating bridges based on fluid-solid vehicle-bridge coupling. The interaction between waves and pontoons is analyzed by computational fluid dynamics methods, the finite element method is used to simulate the upper structure of the floating bridge and vehicle loads, and the connection between the two is established by collaborative simulation, so that the pressure and displacement parameters of the structural solver ABAQUS software and the fluid solver Star‑CCM+ software can be exchanged at each time step, thereby studying the response of discrete pontoon-type offshore floating bridges under the combined action of vehicles and waves, achieving effective analysis of the stress characteristics of the floating bridge structure, and providing a reference for the design and practical application of floating bridge structures. Based on the powerful structural analysis capabilities of ABAQUS software and the excellent fluid analysis advantages of Star‑CCM+ software, as well as the good coupling effect between the two, the present invention realizes the solution of fluid-solid coupling and vehicle-bridge coupling with less computing resources, ensures the calculation accuracy of the numerical model, and provides guidance for the subsequent design and application of long-span floating bridges.

This application relates to the field of geological structural analysis technology, specifically to a method, apparatus, and electronic equipment for determining the stage of horizontal slip distance. It solves the problem in existing technologies that the horizontal slip distance cannot be quantitatively calculated in stages during the development stages of overlying en echelon normal faults and underlying vertical strike-slip faults. First, the layering characteristics of the strike-slip fault profile in the area to be measured are determined based on 3D seismic data. Then, based on the layering characteristics of the strike-slip fault profile, the main active stratigraphic system of the strike-slip faults in the area is determined. Finally, the planar distribution of the underlying vertical strike-slip faults and overlying en echelon normal faults in the caprock-draggered strike-slip fault is determined based on relevant attribute maps. Based on this, and combined with the formation theory of overlying en echelon normal faults in caprock-draggered strike-slip faults, the inherent relationship between the cumulative fault displacement of the en echelon normal faults and the horizontal slip distance of the strike-slip fault is used to achieve quantitative estimation of the staged horizontal slip distance of multi-stage active caprock-draggered underground strike-slip faults.

This technology enables the numerical analysis of the effect that anisotropic materials have on the overall rigidity of a structure when the material is anisotropic. [Solution] A structural analysis method for an anisotropic material according to one aspect of the present invention comprises the steps of: assigning calculation points to structural data (S11); assigning material properties including anisotropy to structural data (S12); assigning load points, support points, and arbitrary points to the calculation points (S13); and determining an index (A) based on the ratio of a first work required for the displacement of the load point when the material axis vector at the arbitrary point is set according to the anisotropy of the material properties, and a second work required for the displacement of the load point when the direction of the material axis vector is rotated to coincide with the displacement direction of the load point. * The steps involve calculating the index (A) while changing an arbitrary point. * ) is calculated, and the index (A) in the structural data is calculated. * The system comprises the steps of calculating the distribution of (S14-S16) and