1182 results about "Engineering structures" patented technology

The invention relates to a high-altitude large steel structure corridor safety risk monitoring method and system and a medium, and belongs to the technical field of civil engineering structure health monitoring, and the monitoring method comprises the steps: collecting original monitoring data through a multi-source sensor group disposed at each node of a steel structure corridor; performing space-time alignment processing on the original monitoring data to generate a sensor data matrix; performing dynamic noise suppression on the sensor data matrix based on an environmental noise transfer function model, and outputting a pure signal matrix and a damage characteristic frequency band identifier; calculating a thermal stress sensitive factor, extracting a multi-physical field coupling feature associated with the damage feature frequency band identifier in the pure signal matrix, fusing to generate a high-dimensional damage feature tensor, inputting the high-dimensional damage feature tensor into a pre-constructed digital twinborn risk assessment model, and outputting an assessment result including a risk level label and a damage position coordinate; and matching the regulation and control strategy according to the risk level label, and generating a corresponding equipment control instruction. According to the invention, the scientificity and accuracy of risk decision can be improved.

The invention discloses a concrete strength remote monitoring method and system suitable for a complex environment, and belongs to the technical field of civil engineering structure health monitoring. The remote monitoring method comprises the following steps: step 1, acquiring performance data of a concrete structure and related environmental factor data, and transmitting multi-source heterogeneous data to a data processing center in real time through a preset wireless communication protocol; step 2, constructing a five-dimensional tensor data structure, and realizing accurate mathematical expression of a complex coupling relationship between environmental factors and material characteristics through tensor decomposition; step 3, capturing nonlinear time-varying characteristics of concrete strength evolution; 4, quantifying the age effect through an intensity development rate index; step 5, based on the intensity development rate change trend, adaptively adjusting the data sampling frequency and monitoring the environmental condition fluctuation; and step 6, evaluating the safety state of the concrete structure in real time, and ensuring safe and reliable operation of the concrete structure in a complex environment.

The invention relates to the technical field of computers, and discloses a digital twin hydraulic engineering operation and maintenance monitoring system which comprises a data acquisition module, a twin modeling module, a principal stress extraction module, a stress evolution prediction module, a safety domain judgment module, a regulation and control decision module, a control execution module and a state feedback module. The invention also discloses a digital twin hydraulic engineering operation and maintenance monitoring method, which comprises the following steps: data acquisition: real-time sensing data of a hydraulic engineering structure area is acquired through the data acquisition module, and the sensing data comprises strain, water pressure, temperature and displacement information and is used for representing the current state of the structure; and carrying out twin modeling, and receiving the real-time sensing data transmitted by the data acquisition module. According to the method, intelligent sensing and dynamic regulation and control of the structure state are realized by constructing a closed-loop system of principal stress prediction, regulation and control decision, control execution and state feedback.

The invention relates to the field of constructional engineering, in particular to a civil engineering structure defect detection method and system based on an image processing technology, and the method comprises the steps: data collection, preprocessing, generative adversarial network processing of crack multi-modal data, adaptive dynamic weight three-dimensional reconstruction and crack complexity evaluation. Generating a three-dimensional crack model and estimating the depth and the width of the crack by generating a crack visual form, a temperature characteristic and an acoustic wave characteristic, dynamically evaluating a crack risk level in combination with a complexity index, and preferentially processing a high-risk area; according to the invention, through fusion of multi-modal data, higher-precision and automatic civil engineering structure crack detection is realized, and the defects of multi-scale fusion and accurate crack positioning in the prior art are effectively overcome.

The invention belongs to the field of engineering technology risk management, and provides a tunnel and underground engineering safety risk multi-identification intelligent sensing method. The implementation of the method comprises the following steps: firstly, acquiring multi-modal data on a tunnel and an underground engineering structure by using a multi-identification method; constructing and training an engineering safety risk prediction model; and performing dynamic quantitative evaluation on the tunnel and underground engineering safety risk by using the trained engineering safety risk prediction model. According to the method, the multi-recognition perception technology and the artificial intelligence technology are combined, safety risk information in the tunnel and underground engineering can be observed, the method can be applied to safety risk management in the tunnel and underground engineering, the safety risk level of the tunnel in the construction period and the operation period is evaluated, and the safety risk management efficiency is improved. And the safe state of the tunnel and the underground engineering can be expressed quickly and accurately.

The invention discloses the technical field of constructional engineering and intelligent control, and relates to a concrete hydration heat self-adaptive control method and system based on digital twinning. The method comprises the following steps: S1, constructing a concrete finite element model, simulating a hydration heat process, and outputting simulation data of temperature and temperature stress; s2, based on the analog data, optimizing the arrangement scheme of the cooling water pipe and the sensor through a composite convolutional neural network; s3, arranging and collecting real-time temperature and temperature stress data according to the scheme; s4, in combination with simulation and real-time data, predicting temperature change by adopting a BP neural network and a long-short term memory network, and constructing a dynamic prediction model; s5, based on the prediction result and the real-time data, constructing a WebGL digital twinborn platform, visualizing the data and correcting a prediction model; and S6, dynamically adjusting parameters of the cooling water pipe according to a correction result to realize hydration heat self-adaptive control. The invention further provides a system for realizing the method, the concrete temperature and the temperature stress can be accurately controlled, and the engineering structure safety and the quality control efficiency are improved.

The invention discloses a jacket platform real-time correction and state prediction method based on a reduced-order model, and relates to the technical field of ocean engineering structure health monitoring and safety early warning. Comprising the steps of establishing a jacket platform finite element model; obtaining a sample matrix; constructing a reduced order model; reducing the order of the reduced-order model until the calculation precision of the reduced-order model meets a preset precision requirement, and obtaining a global reduced-order basis matrix and the reduced-order model meeting the preset precision requirement; reconstructing a stiffness matrix and a mass matrix by using the global reduced-order basis matrix; obtaining a corrected finite element model; inverting the marine environment load based on the on-site platform structure strain response data, and deducing the marine environment load; inputting the marine environment load into a pre-trained LSTM model, and outputting time series data including future load through the LSTM model; and predicting the future operation state trend of the jacket platform. The operation safety and reliability of the jacket platform are improved.

The invention relates to the technical field of civil engineering structure safety monitoring and aircraft image detection, and discloses a safety quantification nondestructive monitoring method and system based on an aircraft concrete structure, and the method comprises the steps: constructing a multi-target path optimization model, and generating a track point sequence; the aircraft collects an image and calculates an image reliability score; identifying crack and spalling defects by using a deep learning model; calculating a structure risk index SFI based on a partial least squares regression model; a monitoring report is generated and uploaded to the cloud. The technical problem that in the prior art, the safety quantitative evaluation based on the in-flight image structure cannot be realized by depending on a manual inspection or static image recognition mode, especially under the conditions of a special-shaped curved surface structure, shielding of a complex area or violent illumination change is solved. Due to the fact that three-dimensional path optimization, an image reliability scoring mechanism and AI defect recognition are fused, intelligent recognition of structure surface covering and crack peeling is achieved, and the automation degree of concrete structure monitoring is improved.

The invention provides a concrete super-early-strength quick-hardening material, and relates to the field of building materials. The high-strength concrete comprises the following components in percentage by mass: 40%-50% of calcium aluminate, 30%-40% of gypsum, 8%-15% of high aluminum, 1%-3% of an additive, 3%-12% of an exciting agent and 1%-5% of an auxiliary material. According to the super-early-strength quick-hardening material provided by the invention, hour-level strength can be quickly and stably improved, and the strength increasing curve of each age is smooth and stable, so that the requirements of scenes such as road repair and tunnel construction on early strength can be met; it can be guaranteed that the 28-day compressive strength of the material breaks through 70 MPa, the later strength is kept stable, and the long-term safety of an engineering structure is guaranteed; the anti-seepage, anti-freezing and anti-erosion capabilities are realized in a complex environment, the service life of a project can be effectively prolonged, and the maintenance cost is reduced. In addition, the invention further provides a preparation method of the concrete super-early-strength and quick-hardening material, and the preparation method is used for preparing the super-early-strength and quick-hardening material provided by the invention.

The invention discloses a risk determination method and system based on engineering structure failure, relates to the technical field of engineering risk determination, and comprises the steps of establishing an engineering geometric model of an engineering structure by utilizing finite element software, and providing a reliable basis for subsequent assessment of stress concentration coefficients and failure probabilities. And evaluating the fatigue life of the engineering structure according to the stress concentration coefficient, and generating the overall fatigue life of the engineering structure by combining information such as the stress concentration coefficient, the dangerous area type and the fatigue life of the dangerous area. And evaluating the failure probability and the failure criticality of each failure mode, and considering the correlation between the failure modes to obtain an accurate failure probability. The risk value of the engineering structure failure mode is generated based on the fatigue life, the failure probability and the failure criticality, the influence of the fatigue life on the risk of the engineering structure is added, the accuracy and adaptability of risk determination of the engineering structure failure are improved, and safe and stable operation of the engineering structure is ensured.

The invention discloses a collaborative enhancement energy consumption mechanism and a support arm type fan tower drum damping device with the collaborative enhancement energy consumption mechanism, and relates to the technical field of engineering structure vibration, the collaborative enhancement energy consumption mechanism comprises a liquid column lever assembly and a plurality of inerter damping units symmetrically installed at the end of the liquid column lever assembly, and each inerter damping unit comprises a shell; the hydraulic damper and the linear-rotation converter are sequentially and axially installed in the shell from top to bottom, when the liquid column inclines, the first connecting plate is driven to drive the piston rod to stretch out and draw back, the piston rod drives the flywheel to rotate through the linear-rotation converter, and therefore vibration energy is transmitted to a fixed foundation structure through the second connecting plate to be dissipated; the invention further discloses a supporting arm type fan tower drum vibration reduction device, displacement of the vibration transmission part is transmitted to the liquid column lever through the connecting piece, the inerter damping unit is driven to stretch out and draw back, a complete energy consumption chain of the tower drum, the vibration transmission part, the connecting piece, the liquid column, the inerter damping unit and the ground is formed, and it is guaranteed that energy is stably transmitted to a fixed foundation structure.

The invention discloses an embedded full-coverage engineering project intelligent auditing and supervising system, and particularly relates to the technical field of engineering project auditing and supervising. A data acquisition layer comprises an Internet of Things sensor unit which is used for deploying various sensors on an engineering project site, acquiring environment data and engineering structure data in an engineering construction process in real time, and transmitting the environment data and the engineering structure data to a data processing layer; the sensors include but not limited to a temperature sensor, a pressure sensor, a displacement sensor, a humidity sensor, a vibration sensor and an image sensor, and data are transmitted to the data storage layer through the wireless communication module. Intelligent auditing supervision of the whole process of the engineering project is achieved by integrating advanced technologies, responsibility definition and tracing are enhanced, auditing efficiency and accuracy are remarkably improved, project risks are reduced, and compliance and safety of the engineering project are ensured.

The invention discloses a multifunctional experimental device capable of realizing a wind wave coupling effect, which comprises a deep water experimental area, a transition experimental area and a shallow water experimental area, and is characterized in that a lifting floating bottom mounted at the bottom of a water tank can simulate the elevation change from a deep sea to a shallow sea seabed; a wind generating system is assembled above the water tank and is matched with the flow guide arrays on the two sides to provide a high-quality wind field for the experimental water tank; the L-shaped wave maker can make multi-directional irregular waves, the wave flow experiment water tank and the wind making system are used for constructing a target joint field required by an experiment, and the whole process that the waves are gradually propagated from deep sea to shallow sea under the wind wave coupling effect can be achieved. The device has multiple functions of wind generation, wave generation, current generation and the like, has the function of simulating various load factors which mainly influence ocean engineering structures, and compared with an existing experimental device, the device can achieve the real wind and wave coupling effect, more truly and completely simulate the whole process of ocean wave propagation, and the experimental device has the advantages of being simple in structure and convenient to use. And a more accurate marine simulation environment is provided for experiments.

The invention discloses a structural health monitoring device for civil engineering. According to the technical scheme, the structural health monitoring device is characterized by comprising a multi-parameter sensing module used for collecting strain, acceleration, displacement, temperature, humidity, vibration frequency and structural surface crack image parameters of a civil engineering structure; the multi-parameter sensing module comprises a strain sensor group, an acceleration sensor group, a displacement sensor group, a temperature and humidity sensor, a vibration sensor and an image acquisition unit; the strain sensor group is composed of a plurality of fiber Bragg grating strain sensors which are installed at key stress parts of the structure in a distributed arrangement mode. According to the structural health monitoring device for civil engineering provided by the invention, by virtue of the unique multi-parameter sensing module, the advanced data processing module and the flexible and reliable data transmission module, various excellent effects are shown in the field of civil engineering structural health monitoring.

The invention relates to the technical field of hydraulic engineering management, in particular to a hydraulic engineering management method and system based on digital twinning. The method comprises the following steps of obtaining hydraulic engineering design data, hydraulic engineering operation data and hydraulic engineering environment data, and performing digital twin space modeling on the corresponding hydraulic engineering to obtain a hydraulic engineering digital twin space model; performing operation condition virtual simulation analysis and water flow distribution change analysis on the hydraulic engineering digital twin space model, and performing engineering structure stress load analysis and engineering operation risk assessment to obtain hydraulic engineering simulation operation process risk data under different operation and environment change conditions; and performing risk decision management processing on the corresponding water conservancy project to generate a water conservancy project operation process risk management decision so as to execute corresponding water conservancy project operation risk management adjustment work. According to the invention, the management effect and response capability of the hydraulic engineering can be greatly improved.

The invention discloses an assembly type building node stress monitoring and design feedback system based on BIM, and relates to the technical field of building engineering structure monitoring, a building information modeling model is constructed, component geometric information, a connection mode and a load path associated with nodes are extracted, and a node mechanical attribute initial parameter set is formed; in combination with node real-time stress monitoring data, Fourier transform and wavelet decomposition are carried out, and frequency domain characteristic parameters are extracted; constructing a finite element correction model, and simulating a stress response path under a multi-load combination; the predicted stress peak value is compared with the actually measured stress peak value, structural abnormal nodes are identified, parameter optimization is executed according to node construction information, the component size, the steel bar anchoring length or the concrete grade are automatically adjusted, an optimized parameter set is generated and written back into a building information modeling model, and closed-loop correction is formed; continuous monitoring, abnormity diagnosis and intelligent optimization of the node stress state can be achieved, and the safety and the intelligent level of assembly type building structure design are improved.

The invention provides an engineering safety prediction method and system based on the Internet of Things. An Internet of Things sensor and a camera are used for collecting multi-source data of an engineering structure, an environment, equipment and the like, and after cleaning and feature extraction, a multi-modal fusion prediction model combining a convolutional neural network and a long-short-term memory network is constructed. Through a dynamic weighted fusion method, image and time sequence feature fusion weights are adjusted according to engineering stages and environmental conditions, and an attention mechanism is used to reinforce a fusion effect. After a data set training model is divided, real-time data can be analyzed to predict security risks. Once the risk is found, the system can give an early warning in time and display response suggestions on the management platform. The method makes up the defects of a traditional monitoring mode, improves the accuracy and timeliness of prediction, provides an efficient solution for engineering safety management, can effectively reduce the accident risk, and has important application value in various engineering fields.

The invention provides a bridge pier nonlinear earthquake random response analysis method based on a BWBN model, and belongs to the field of civil engineering structure random vibration analys.The method comprises the steps that discretization processing is conducted on a concrete bridge pier structure, and a finite element nonlinear analysis numerical model is constructed; constructing a BWBN model by combining linear and nonlinear differential equations, setting a hysteresis parameter value of the BWBN model, simulating by adopting an Euler-Bernoulli beam unit, and establishing a degraded beam finite element model; obtaining a unit hysteresis vector, constructing a system motion balance equation, solving an equivalent linearization coefficient, constructing a covariance matrix of random response of the concrete pier structure, performing random response analysis on the concrete pier structure, and exploring typical working conditions of random excitation. According to the method, the operation time is shortened, the calculation precision is improved, and meanwhile, the response characteristics of the reinforced concrete pier structure under nonlinear earthquake random excitation can be truly represented.

The invention relates to the field of data mining and machine learning, and relates to a bridge group deformation mode evaluation method and system based on PS-InSAR and complex network theories. The method comprises the following steps of: 1, performing refined preprocessing on high-dimensional time series data of engineering structure monitoring points obtained by multiple sources; 2, constructing a behavior pattern distribution vector of each monomer structure by adopting a UMAP-KDPI algorithm; and step 3, constructing a group association network by calculating behavior similarity between structures, and performing community discovery, key node identification and multi-level association characteristic deep analysis by using a network science theory to realize bridge group deformation mode evaluation. The problem that in an existing monitoring data analysis method for an engineering structure group, potential and common behavior patterns in complex high-dimensional time series data are difficult to effectively recognize, and an effective means for accurately quantifying and comparing behavior similarity among structure individuals is lacked is solved.

The invention discloses a deep underground engineering large deformation prevention and control method and system, and relates to the field of underground engineering safety prevention and control, and the method comprises the following steps: arranging a displacement sensor in an underground engineering structure, and obtaining a displacement time sequence; carrying out normalization processing on the displacement time sequence; extracting a displacement change rate sequence of each monitoring point in each time window; taking the displacement change rate sequence of each monitoring point as a feature vector, and performing trend clustering on the monitoring points by adopting a clustering algorithm based on time sequence similarity to obtain a plurality of trend clustering class clusters; and when the number of the monitoring points contained in a certain trend clustering class cluster exceeds a preset proportion threshold value of the total point number and the average displacement change rate of the monitoring points continuously rises in the current time window, identifying an area corresponding to the class cluster as a trend abnormal accumulation area, and outputting early warning information of the area. According to the invention, the problems that the traditional threshold alarm cannot identify the tiny cooperative deformation precursor and the rate of missed alarm and false alarm is high are solved.

The invention discloses an anti-aging water-stop belt and a preparation method and application thereof, and relates to the technical field of water-stop belts. The invention relates to an anti-aging water-stop belt which is prepared from the following raw materials in parts by mass: 40-60 parts of chloroprene rubber, 10-20 parts of natural rubber, 10-20 parts of ethylene propylene diene monomer, 15-30 parts of carbon black, 5-15 parts of white carbon black, 5-15 parts of a plasticizer, 0.5-2 parts of sulfur, 0.5-1.5 parts of an accelerant, 1-2 parts of an anti-aging ultraviolet light absorber, 5-15 parts of aluminum hydroxide, 1-3 parts of stearic acid and 3-8 parts of zinc oxide. The obtained water-stop belt has excellent ultraviolet aging resistance, ozone resistance and chemical corrosion resistance while keeping high elasticity, the mechanical stability of the water-stop belt is remarkably improved compared with that of a traditional product, the water-stop belt is suitable for joint sealing in harsh environments such as bridges, tunnels and water conservancy projects, and the waterproof service life of engineering structures can be effectively prolonged.

The invention belongs to the technical field of machine vision and deep learning, and discloses an engineering structure crack detection and measurement method based on machine vision, and the method comprises the steps: collecting original image data of an engineering structure, discretizing the original image data into image blocks, carrying out the preprocessing, building a crack classification model through a Resnet-50 neural network, and carrying out the training, the method comprises the following steps of: firstly, constructing an image block, identifying a crack image in the image block, then constructing a SegFormer segmentation model based on a Transformer framework to segment the crack image to obtain a crack mask graph, evaluating the performance of the two models, then analyzing the two models by adopting an orthogonal skeleton line method, obtaining a contour line and a skeleton line of a crack, and calculating the length of the crack. According to the method, the ResNet-50 image classification model and the SegFormer segmentation model are combined to realize high-precision crack identification and segmentation of the building structure crack, the contour line and the skeleton line of the crack are obtained and the length of the crack is measured by means of the orthogonal skeleton line method, and the crack of an engineering structure is well detected and subjected to risk assessment.

The invention discloses a multifunctional wind wave and flow coupling experiment platform, and belongs to the technical field of bridge engineering. The experimental platform comprises a wind power system and a water power system, the wind power system is of a two-layer structure, the upper layer is an unsteady wind tunnel, and the lower layer is a steady wind tunnel; the hydrodynamic system is located below the steady wind tunnel; the steady wind tunnel is of a sealed annular structure, and a fan, a first experimental section and a second experimental section are arranged in the steady wind tunnel; the unsteady wind tunnel is arranged above the second experiment section, and interaction windows A which are communicated with each other are formed between the unsteady wind tunnel and the steady wind tunnel; the hydrodynamic system is located below the second experiment section, and an interaction window B which is communicated with the steady wind tunnel is formed between the hydrodynamic system and the steady wind tunnel; the unsteady wind tunnel, the steady wind tunnel and the hydrodynamic system are communicated with one another through the two interactive windows. The experimental platform can simulate different coupling action environments of wind, waves and flows, and is used for testing the stability, reliability and durability of various ocean engineering structures and equipment.

The invention relates to the technical field of engineering structure protection, in particular to an energy consumption unit, a collision-resistant behavior prediction method and equipment thereof and a medium. A collision-resistant behavior prediction method of an energy consumption unit comprises the following steps that a tank body finite element model before filling and a tank body finite element model after filling are established in a modeling system, and impact force and bearing force along the axis of the empty tank body finite element model are applied to the two ends of the tank body finite element model respectively; respectively giving calculation parameters to the empty tank body finite element model and the filling part finite element model in a modeling system, and determining solving time according to the compression displacement of the filled tank body finite element model; and solving and calculating in a modeling system to obtain a predicted deformation behavior-I and a predicted force-displacement response curve-I of the tank body finite element model before filling and a predicted deformation behavior-II and a predicted force-displacement response curve-II of the tank body finite element model after filling, and completing collision-resistant behavior prediction of the energy consumption unit.

The invention discloses an airport high-fill soil rainfall seepage field analysis method and system. The method comprises the steps that first-level slope sections on the two sides of a branch ditch in a high-fill area are selected, and simplification assumption is conducted on an engineering structure of the first-level slope sections in combination with foundation investigation and design data; functional partition is carried out on the research area, and structured grid division is carried out on each functional partition through simulation software; based on an unsaturated soil water flow theory, selecting a mathematical model for describing a relationship between a soil water characteristic curve and a permeability coefficient, inputting physical and mechanical parameters of a filled soil body, setting boundary conditions of a seepage model, and completing construction of the seepage model; designing at least two typical rainfall working conditions; carrying out saturated-unsaturated seepage simulation, and recording dynamic change data of pore water pressure and a transient saturation region under different working conditions; and carrying out multi-dimensional quantitative analysis on a simulation result, and summarizing an association rule of rainfall parameters and a seepage field. And safe operation of airport engineering is ensured.

The invention provides a multi-order segmentation-based structural member linetype rapid identification method and system, and relates to the technical field of engineering structure intelligent detection, and the method comprises the steps: obtaining an original image of a structural member; performing coarse segmentation on the original image to generate an initial binary mask of the structural member; automatically screening out a target mask region containing a foreground prompt point through a connected domain analysis mode; calculating bounding box coordinate information of a bounding rectangle of the target mask region through a contour detection mode; extracting a corresponding target area sub-image from the original image; adopting a super-resolution reconstruction model to enhance the sub-image of the target area; performing sub-image division on the enhanced target area sub-image; fine segmentation is carried out on the sub-images, and a high-precision mask is determined; mapping the high-precision mask to an original image through coordinate mapping; and combining an edge detection algorithm to extract an outer contour line of the structural member to complete linetype identification of the structural member.

The utility model relates to a high-performance sealed viscous damping wall, and belongs to the technical field of civil engineering structures. Comprising steel frames, gapless spherical hinges, bushings, piston rods, pistons, oil cylinders, extension pipes, experiment connecting holes, shells, lug plates and embedded parts, the steel frames are arranged on the left side and the right side of the high-performance sealed viscous damping wall, the inner sides of the steel frames are symmetrically and fixedly connected with two or more sets of gapless spherical hinges, and viscous dampers are arranged between every two sets of gapless spherical hinges. The viscous damping wall has the beneficial effects and advantages that the viscous damping wall adopts a completely sealed structure, so that the pollution of silicone oil is avoided, and the durability of a product is ensured; the damping wall is easy to install on site, and the damping wall can be rotationally and obliquely installed according to the actual situation on site; an experiment table connecting hole is formed in the steel frame side plate, so that the non-destructive experiment of the viscous damping wall is realized; and the multiple groups of viscous dampers are connected with the steel frame through the gapless spherical hinges, so that the good cooperative work performance is achieved.

The invention relates to the technical field of port engineering construction, in particular to a tide wave joint test method and system based on multi-source data in port engineering construction. At present, the problems of insufficient data utilization, low test precision and the like exist in tide and wave joint test in port engineering construction. The method comprises the following steps: constructing a nested unstructured grid and dynamically configuring discrete parameters of a wave direction spectrum; a variation assimilation algorithm is adopted to optimize hydrodynamic parameters; solving a wave flow coupling equation to generate a combined field data set; the pile foundation stress is calculated in combination with an improved Morison equation, and a safety evaluation report is output through basin resonance characteristic analysis; the system sets corresponding modules to realize various functions based on the method. The device is mainly used for precise combined testing of tidal waves in port engineering construction so as to guarantee the safety of an engineering structure.

The invention relates to the technical field of grid armored platforms, and particularly discloses a composite additional grid armored system platform which comprises a composite additional grid armored system main platform. The composite additional grating armored system main platform comprises a side composite additional grating armored system platform, a top composite additional grating armored system platform, a top composite grating armored ceiling and a rear composite additional grating armored system platform; a modular and multifunctional basic design thought is adopted, advanced technical means such as material science analysis and research, engineering structure mechanics design, key part transplantation and special development are adopted, a certain type of walking combat vehicle is used as a platform test device for operation, a practical task is used as a research target, and a set of walking combat vehicles suitable for plains, cities, towns and the like is developed. The device is a complete set of external equipment used for tasks such as enemy anti-armored equipment, suicide type unmanned aerial vehicles and self-hiding.

The invention discloses a concrete structure tall formwork supporting system stress deformation actual measurement method, and relates to the technical field of constructional engineering structure safety, the method comprises the following steps: determining initial stress distribution reference data through a pre-established supporting system geometric model database, and determining final construction adjustment guidance data; according to the final digital construction scheme, a construction safety assessment report is automatically generated, final conclusion data of safety assessment is determined, a result is fed back to the design optimization module through the data transmission module, and the unsolved uneven stress or deformation problem is extracted from the feedback data; obtaining input parameters of a new round of design optimization, and obtaining a continuously improved design iteration result; according to the actual measurement method for stress deformation of the high and large formwork supporting system of the concrete structure, the design rationality and construction safety of the high and large formwork supporting system are improved, and intelligent and digital whole-process management and control are achieved.