23 results about "Wind engineering" patented technology

The invention discloses a planar turbulence prediction method based on a hybrid prediction model, and relates to the technical field of cross of computational fluid mechanics and artificial intelligence, and the method comprises a sensor point selection method based on a multi-index assignment strategy, and is used for maximizing information acquisition from sparse deployment. A convolutional long short-term memory network, a multi-layer perceptron and a mixed deep learning model of a Fourier neural operator are fused, Conv-LSTM and MLP are used for capturing local nonlinear spatial-temporal features, and FNO is used for modeling global dependence and correcting boundary errors; a physically constrained training framework ensures the physical rationality of a prediction result by introducing undivergence,-5 / 3 energy spectrum slope and other constraint terms into a loss function; under the condition that only a small number of measuring points are used for input, the plane turbulent wind field can be reconstructed in real time in a high-precision and high-fidelity mode, prediction errors are remarkably reduced, the boundary effect problem is solved, the physical credibility of prediction results is guaranteed, and the method has important application value in the fields of wind engineering, weather forecast and the like.

The invention belongs to the technical field of structural wind engineering, and particularly relates to an expanded circular line type Copula method for wind speed and wind direction joint probability modeling, which introduces additional degree-of-freedom parameters on the basis of a traditional circular line type Copula joint probability model, expands the application range of a traditional circular line type Copula function, and improves the modeling efficiency. And the precision of joint probability distribution modeling between a circular variable (wind direction angle) and a linear variable (wind speed) is improved. According to the method provided by the invention, during modeling, not only can periodic probability correlation characteristics between circular linear variables of the wind direction angle and the wind speed be captured, but also the joint probability distribution modeling precision of the wind speed and the wind direction angle can be remarkably improved by expanding the degree of freedom of the model; and a key theoretical and technical support is provided for wind load probability modeling analysis and structure fine design of a wind sensitive structure.

The application discloses a Pick iterative random characteristic flow field deduction and reconstruction method and system for bridge wind engineering and belongs to the technical field of bridge wind engineering and structural health monitoring. The application divides a global space-time calculation domain, constructs local affine mapping and a space-time random characteristic base function, adopts Pick iterative linearization incompressible Navier-Stokes equations, avoids Jacobian matrix calculation, assembles a global over-determined linear equation group containing momentum, mass conservation, boundary and interface constraints, forms a double-enhanced linear system through algebraic row balance and physical enhancement layered weighting, realizes high-fidelity reconstruction of a flow field through least square solution, supports unknown fluid parameter alternating inversion under sparse data, and can automatically generate bridge wind-induced vibration early warning. The application eliminates edge device memory bottleneck, improves solution robustness and precision, strictly guarantees physical conservation, and is suitable for real-time deduction of bridge complex flow fields, sparse observation reconstruction and safety monitoring.

The invention provides a bridge wind vibration active control device, system and method based on a pneumatic stabilizing plate, and relates to the technical field of bridge wind engineering. The horizontal stabilizing structures are arranged on the two sides of a bridge in the span direction of the bridge in a discontinuous mode, and the central stabilizing structure is arranged in the middle of the bridge in the span direction of the bridge in a discontinuous mode. The plurality of horizontal stable structures and the central stable structure are respectively provided with a detection module; the horizontal stabilizing structures, the central stabilizing structures and the detection module are all electrically connected with the control module, and the control module can independently adjust the width and angle of each horizontal stabilizing structure and the height of each central stabilizing structure. Through the combined design of angle and width two-parameter adjustment of the horizontal stable structure and height parameter adjustment of the central stable structure, the device can cope with global attack angle changes under the action of a uniformly distributed wind field, can also adapt to non-uniform wind fields in complex bridge site areas such as mountainous areas and canyons in the span direction, and covers various wind load scenes in bridge operation.

The invention relates to the technical field of structural wind engineering and experimental mechanics, in particular to a spanwise structural aerodynamic force fine identification method and system based on Gaussian integrat.The method comprises the steps that a plurality of measurement sections are arranged, the distribution positions of measurement points are positioned, and a reference coordinate system is constructed; normalizing the size of the spanwise structure, determining the measuring point position of each section, numbering according to a sequence, and collecting wind pressure time history data; standardizing the wind pressure time history data, calculating the net wind pressure coefficient time history of the corresponding measuring point, and determining the weight coefficient of the corresponding measuring point; determining aerodynamic force and torque coefficients of the measuring points; obtaining a disturbance component, and constructing a weighted covariance matrix of aerodynamic force and torque coefficient time histories of any two section measuring points; normalizing the weighted covariance matrix to generate a normalized covariance matrix; visualization is achieved through a two-dimensional normalized covariance matrix heat map, and distribution characteristics of aerodynamic force in the spanwise direction of the structure are recognized and extracted; and high-precision identification of the spanwise aerodynamic force effect is realized.

The present application belongs to the field of fluid mechanics, ocean engineering and wind engineering structure flow field control technology, and discloses a segmented rotatable optimized cross-section shell system for a cylindrical flow-receiving structure, which is arranged on the outer wall of the cylindrical flow-receiving structure body and comprises a plurality of base rings, the plurality of base rings are equidistantly sleeved on the cylindrical flow-receiving structure body along the length direction of the cylindrical flow-receiving structure body; a plurality of shell segments are respectively corresponding to the plurality of base rings, the base rings are provided with rotating members, and the shell segments are rotatably installed on the base rings through the rotating members; each shell segment can rotate independently of other shell segments around the axis of the cylindrical flow-receiving structure body; and the cross section of the shell segment is a directional sensitive optimized cross section. The present application solves the problem that the traditional fixed or integral flow control shell is difficult to balance the direction adaptability, structural continuity and installation and maintenance convenience, thereby improving the drag reduction, vibration reduction and flow stabilization effect of the cylindrical flow-receiving structure in actual engineering.

The invention discloses an equivalent simulation method for a Reynolds number effect of a resistance coefficient of a steel truss girder, which relates to the field of wind tunnel tests of bridge wind engineering and comprises the following steps: manufacturing a steel truss girder reduced-scale rigid segment model and installing the model in a test wind tunnel; arranging a turbulent flow simulation device in the test wind tunnel, wherein the turbulent flow simulation device is used for enabling the wind field turbulence degree of the wind tunnel test section to be within a set interval; carrying out a steel truss girder segment model force measurement test; in the test process, the wind field turbulence level of the wind tunnel test section is monitored in real time, and the wind field turbulence level is always kept within a set interval. The invention provides an equivalent simulation method for a resistance coefficient Reynolds number effect of a steel truss girder, and aims to solve the problem that the Reynolds number of a real bridge is difficult to simulate in a conventional wind tunnel for bridge wind engineering research in the prior art. The purposes of enabling a low-Reynolds-number wind tunnel test result to be capable of more accurately and equivalently simulating aerodynamic characteristics under the condition of a high Reynolds number of a real bridge and improving test accuracy are achieved.

The invention discloses a numerical method for predicting aerodynamic force of a large-span bridge through a vortex structure around a flow field, and belongs to the field of bridge wind engineering. The method comprises the following steps of: simulating and generating a velocity field and vortex structure information around a flow field by utilizing computational fluid mechanics; determining geometric boundary conditions based on a vortex force diagram method, constructing and solving a hypothetical potential equation, and calculating a vortex force vector; finally, the additional mass force, the vortex pressure, the viscosity pressure and the friction force are calculated through integration, and the total aerodynamic force is synthesized. The method combines flow field information and aerodynamic force, can analyze contribution of different vortex structures, is suitable for a single box girder bridge and a multi-box girder bridge, has the advantages of being accurate in result, high in efficiency and small in resource occupation, can be used for flow separation aerodynamic force mechanism analysis, and solves the problem that a traditional pressure integral method cannot analyze the influence of a flow field.

The application belongs to the technical field of bridge wind resistance engineering, and discloses a numerical simulation method of bridge structure wind load under the action of tornado based on CFD, which comprises the following steps: referring to the geometric configuration of a tornado laboratory simulation device, a CFD calculation domain model of a three-dimensional tornado generator is established, a speed inlet boundary condition is constructed by using Doppler radar observation data of a real tornado, and a three-dimensional tornado wind field is obtained by numerical solution; a vortex ratio is controlled by an inflow angle, and a tornado intensity is controlled by an inlet wind speed. The numerical simulation method of bridge structure wind load under the action of tornado based on CFD aims to solve the problem that in the existing numerical simulation method of tornado wind field based on CFD, an idealized analytical wind field is used as a boundary condition to drive the generation of a wind field, and there is a lack of quantitative mapping relationship between control parameters and wind field structure characteristic quantities, so that the bridge structure surface wind pressure coefficient cannot be systematically obtained under the working conditions of multiple radial positions and wind direction angles.

The application discloses an unmanned aerial vehicle route and high-altitude cableway wind field monitoring point optimization method, and belongs to the technical field of wind engineering. The application obtains basic data through field measurement and numerical simulation, forms a standardized data set after preprocessing, builds an artificial intelligence model, constructs an evaluation index system including inversion accuracy, data representation ability and data stability, trains the model to comprehensively score the global potential point, and preliminarily screens out candidate points. Then, the preliminary point arrangement scheme is formed by adjusting the real constraints such as terrain, equipment installation, cost, operation and maintenance, and safety. Finally, the scheme is verified and corrected by using the existing monitoring data until the preset standard is met. The application realizes the scientific transformation of the point arrangement from artificial experience to data driving, guarantees the wind field inversion accuracy, and takes into account the engineering economy and practicability, thereby providing reliable wind field data support for the safe operation of the unmanned aerial vehicle route and the safe operation of the high-altitude cableway.

The application belongs to the technical field of bridge structure health monitoring and wind engineering safety early warning, and discloses a bridge vortex vibration real-time identification and early warning system and method based on multi-IMU fusion, which comprises the following steps: each IMU terminal synchronously collects acceleration and angular velocity original data at a dynamically adjusted sampling rate and pre-processes the data at an edge end; the pre-processed signal is subjected to sliding window fast Fourier transform, the main frequency component and the corresponding amplitude spectral density are continuously tracked, and a "vortex vibration suspected" flag is triggered; the edge node uploads the "vortex vibration suspected" flag, the main frequency, the amplitude, and the timestamp characteristic data to a cloud platform for convergence and spatio-temporal fusion analysis; a hierarchical early warning decision model is executed based on the fusion analysis result, and intelligent early warning decision and release are realized. The application converts the originally high-cost vortex professional monitoring into an economic and intelligent solution that can be deployed on a large scale, and realizes the leap from "post-event analysis" to "real-time early warning".

The present application relates to bridge wind engineering vibration suppression technical field, disclose a kind of automatic centroid movement mechanism of promoting large-span bridge flutter performance, comprising: fixed bearing, weight gear, first planetary gear, second planetary gear, traction rack, mass block;Weight gear is set in the center of bridge box girder by fixed bearing;First planetary gear and second planetary gear are symmetrically arranged with the meshing of weight gear on both sides;Traction rack is slidably arranged on bridge box girder along the bridge transverse direction, and traction rack is engaged with first planetary gear and second planetary gear;The both ends of traction rack are provided with mass block. The present application can not change original aerodynamic shape and structure system, automatically adjust the centroid position to the direction of flow according to the torsion angle of main girder, so as to realize the effective regulation and control of flutter performance under extreme wind conditions.

This invention discloses a numerical method for predicting aerodynamic forces of long-span bridges based on the vortex structure of the flow field, belonging to the field of bridge wind engineering. The method first uses computational fluid dynamics to simulate and generate the velocity field and vortex structure information of the flow field; then, based on the vortex diagram method, it determines the geometric boundary conditions, constructs and solves the assumed potential equation, and calculates the vortex vector; finally, it calculates the additional mass force, vortex pressure, viscous pressure, and frictional force through integration, synthesizing the total aerodynamic force. Combining flow field information and aerodynamic forces, it can analyze the contribution of different vortex structures, is applicable to both single-box girder and multi-box girder bridges, and features accurate results, high efficiency, and low resource consumption. It can be used for the analysis of flow separation aerodynamic mechanisms, solving the problem that traditional pressure integration methods cannot analyze the influence of the flow field.

The invention relates to the technical field of structural wind engineering, in particular to an adjustable flange plate suspension system component suitable for a wind tunnel test and a using method. The device is arranged on a wind tunnel test device and comprises a bearing base plate, a lower sliding rail component is arranged on the upper surface of the bearing base plate, an upper sliding rail component is arranged on the upper surface of the lower sliding rail component, and the upper sliding rail component and the lower sliding rail component are connected with the bearing base plate and are arranged in an X shape in an up-down staggered and overlapped mode. The upper surface of the upper sliding rail component and the upper surface of the lower sliding rail component are each provided with two sliding components in a sliding mode, the four sliding components are the same in structure and each provided with at least one rope connecting hole, and the two sliding components located on the upper sliding rail component and the two sliding components located on the lower sliding rail component are arranged in an axial symmetry mode. The device is simple in structure, is convenient to operate, facilitates the development of wind tunnel tests of different connection mode groups, can research the frequency influence of a plurality of suspension modes on a structure or a component under the wind load effect, and is of great significance to the improvement of the wind resistance of the structure.

The invention discloses a mathematical modeling method for CFD inflow boundary conditions based on laser wind finding radar data, and belongs to the technical field of laser radar actual measurement and wind engineering, and the method comprises the steps: carrying out the preprocessing and quality screening of laser radar wind speed profile data of a target region; classifying the wind profiles by adopting a clustering algorithm, extracting morphological characteristics of each class, and constructing a wind speed profile library; in combination with the wind field morphological characteristics and an RANS equation, a self-holding inflow boundary condition expression meeting the atmospheric boundary layer balance condition is obtained through theoretical derivation; and finally, fitting the wind speed and the turbulence energy based on actually measured data, and setting the obtained turbulence energy and the turbulence dissipation rate as inflow boundary conditions of CFD simulation. According to the method, through combination of data driving and theoretical derivation, accurate description of real wind field features is realized, and the precision and reliability of CFD numerical simulation are effectively improved.

The invention relates to the technical field of bridge structure health monitoring and bridge wind engineering, and discloses a meteorological data and bridge site in-situ data fused bridge typhoon monitoring and early warning method, which comprises the following steps of reading atmospheric data in a spatial meteorological database; geographic information such as mainland boundaries and rivers is drawn; reading the longitude and latitude of the position of the bridge, and reconstructing the potential height and the wind field space distribution; extracting potential height, wind speed and wind direction change of the position of the bridge; extracting bridge structure health monitoring data including wind speed, wind direction and dynamic response; drawing a rose diagram according to the wind speed and direction data, and calculating the frequency of dynamic response; according to meteorological data and bridge site in-situ data, typhoon influence is predicted and evaluated, and an early warning index and a catastrophe index of disastrous typhoon are provided. The method makes up the defect that typhoon disasters cannot be effectively predicted only by depending on a bridge site structure health system traditionally, and is of great significance to typhoon early warning and typhoon disaster forecasting of bridge management departments.

This invention provides a method and system for predicting wind pressure on structural surfaces based on multi-feature Gaussian process regression, belonging to the field of wind engineering and structural safety technology. Firstly, by constructing a spatiotemporal multidimensional feature set including the mean of the wind pressure coefficient, the standard deviation of the wind pressure coefficient, and the first-order slope of wind pressure variation over time, the invention elevates the simple spatial interpolation problem to a spatiotemporal dynamic regression task. This enables a more accurate establishment of the nonlinear mapping relationship between interpolated features and actual wind pressure values. Secondly, through iterative K-means clustering for physical partitioning, the invention globally and evenly restores the details of wind pressure distribution on the structural surface. Finally, the multi-feature Gaussian process regression model effectively captures the high-frequency pulsation characteristics and extreme value mutations of the wind pressure signal, overcoming the shortcomings of traditional models that predict too smoothly. This achieves accurate assessment of the overall stress state of large, tall structures with extremely low sensor deployment costs, possessing high engineering practical value.

The application provides a mobile variable stiffness TMD cable vibration control device and a control system, and belongs to the technical field of cable vibration suppression in bridge wind engineering. The technical problems of high cost, poor applicability, failure to achieve ideal effect and installation limitation of the existing cable vibration reduction are solved. The mobile variable stiffness TMD cable vibration control system is sleeved on the outer periphery of the cable, two power devices are located on the inner side of the body and connected with the control system integrated device, two acceleration sensors are located on the outer side of the body and connected with the power devices, four self-locking devices are located on the inner side of the body and connected with the control system integrated device, and the variable stiffness TMD is installed in the body. The real-time data monitored by the acceleration sensor is used to determine the vibration mode of the cable, and then the position of the mobile variable stiffness TMD cable vibration control system is moved. The application can effectively improve the use safety and stability of the cable, and has high applicability to cables in different environments and under different working conditions.

The invention discloses a method for inverting typhoon wind speed by using wind vibration acceleration signals of a high-rise building, and relates to the technical field of laser radar actual measurement and wind engineering. Comprising the following steps: acquiring acceleration response time history data of a building structure during the maximum typhoon wind speed; according to the actually measured acceleration response curve, the normalized power spectral density, modal frequency and damping ratio of the building are identified; extracting maximum acceleration response values in two horizontal directions; establishing a finite element model of the target building; further constructing a three-dimensional incompressible unsteady flow model to carry out fluid-structure interaction calculation, and obtaining the simulation acceleration of the target building; and comparing the target building simulation acceleration with the target building simulation acceleration, obtaining a wind field parameter corresponding to the typhoon level when a preset condition is satisfied, and obtaining data of a time period with the maximum typhoon wind speed based on inversion of the wind field parameter. According to the method, the missing typhoon data can be subjected to data inversion and supplementation by adopting a computational fluid dynamics method.

This invention discloses a method and system for simulating stationary non-Gaussian wind fields based on random waves, relating to the field of non-Gaussian wind field simulation in structural wind engineering. It includes: acquiring the autopower spectrum and coherence function of the target wind speed field to construct the target non-Gaussian wavenumber-frequency spectrum; discretizing the wavenumber and frequency, and generating a bottom-level stationary Gaussian random field by combining random wave spectrum representation and two-dimensional fast Fourier transform; reconstructing the target non-Gaussian marginal probability density function and cumulative distribution function based on finite-order statistical moments using the maximum entropy method; embedding a piecewise Hermite polynomial model to construct a piecewise translation mapping function from Gaussian to non-Gaussian; inversely calculating the bottom-level Gaussian correlation structure and determining its spectral characteristics based on the correlation distortion relationship; and applying the piecewise translation mapping function to obtain stationary non-Gaussian wind field samples. This invention eliminates the need to decompose high-dimensional matrices, balancing computational efficiency and numerical stability, characterizing the high-order statistical properties and tail probabilities of strong non-Gaussian wind fields, and ensuring the spatiotemporal correlation of the wind field.

The invention relates to the technical field of wind engineering and artificial intelligence, and discloses a downburst average wind speed prediction method and system based on a regression random forest, and the method comprises the steps: building a CFD numerical simulation model of mobile downburst based on an impact jet theory; secondly, performing uniform sampling in a two-dimensional parameter space formed by an environment wind speed and a storm center moving speed by using a Haarton sequence to generate a parameter combination sample; thirdly, constructing a training data set containing multiple groups of input features and target output through batch CFD calculation; then, constructing a regression random forest model, and optimizing the number and the maximum depth of the decision trees by using parameter sensitivity analysis; and finally, using the trained model to rapidly predict any to-be-predicted working condition. According to the method, the wind speed double-peak characteristics of the mobile downburst can be accurately captured, the calculation cost is greatly reduced while the high prediction precision is ensured, and real-time rapid prediction of the downburst wind field is realized.

The present application relates to bridge wind engineering vibration suppression technical field, disclose a kind of automatic centroid movement mechanism of promoting large-span bridge flutter performance, comprising: fixed bearing, weight gear, first planetary gear, second planetary gear, traction rack, mass block;Weight gear is set in the center of bridge box girder by fixed bearing;First planetary gear and second planetary gear are symmetrically arranged with the meshing of weight gear on both sides;Traction rack is slidably arranged on bridge box girder along the bridge transverse direction, and traction rack is engaged with first planetary gear and second planetary gear;The both ends of traction rack are provided with mass block. The present application can not change original aerodynamic shape and structure system, automatically adjust the centroid position to the direction of flow according to the torsion angle of main girder, so as to realize the effective regulation and control of flutter performance under extreme wind conditions.

The invention discloses a wind field data joint distribution modeling method and system based on a standardized flow model, and relates to the field of wind engineering and the field of artificial intelligence, and the method specifically comprises the steps: obtaining wind field monitoring data, and carrying out the preprocessing; a standardized flow model framework is constructed, and bidirectional reversible mapping between an original data space and a hidden variable space is established through a training module; training the standardized flow model framework by using the preprocessed data to obtain a trained standardized flow model; and based on the standardized flow model, calculating the multi-dimensional joint distribution probability density of any point in the original data space through forward transformation of bidirectional reversible mapping and a variable transformation formula. According to the method, a related structure between variables does not need to be assumed in advance, the internal probability dependence characteristics are directly learned based on the actual monitoring data, the characterization capability of the joint probability model on the actual wind field random characteristics is greatly improved, and a more accurate uncertainty quantification basis is provided for subsequent wind load and engineering structure reliability analysis.