114619 results about "Civil engineering" patented technology

The invention relates to the technical field of water photovoltaic flexible support pile foundation construction data processing, in particular to a process for a water photovoltaic flexible support pile foundation, which comprises the following steps: fusing meteorological, hydrological and pile deformation multi-source data through a dynamic weight distribution mechanism, and generating a space-time associated dynamic load spectrum by adopting wavelet packet transformation and entropy feature extraction; a collaborative analysis architecture of a finite element simulation and machine learning agent model is constructed, an anchoring depth mapping relation and a real-time design parameter adjustment instruction are output in parallel, and macroscopic fluid parameters and microscopic material degradation characteristics are associated through a data cascade interaction correction mechanism; full-life-cycle data version management is achieved through the block chain technology, and finite element model re-calibration and protection strategy dynamic updating are triggered. The dynamic load response analysis precision and long-term stability of the pile foundation are improved, and the deformation coordination requirement of the flexible support in the complex water area environment is met.

The invention belongs to the technical field of concrete crack detection, and particularly discloses and provides a high-strength concrete construction crack detection system and method.The system comprises a multi-parameter cooperative sensing module, a construction crack recognition module, a crack risk analysis module and a crack early warning processing module. According to the invention, the temperature, humidity, strain and multispectral image data from a plasticity stage to a hardening stage are collected in real time through the multi-parameter cooperative sensing module, and crack characteristics are extracted by combining staged differential signal processing and a deep convolutional neural network, so that the detection precision of micro cracks and internal defects is remarkably improved. Meanwhile, multi-physics field data are fused, a crack evolution risk rate model is innovatively constructed, dynamic probability prediction before crack initiation is achieved, a grading disposal scheme is automatically triggered through risk grade division and a progressive early warning mechanism, drying shrinkage and temperature crack causes are effectively distinguished, the prevention and control efficiency is remarkably improved, and the method is suitable for large-scale popularization and application. And full-life-cycle accurate monitoring of the high-strength concrete is supported.

The present invention relates to the technical field of tunnel rockburst microseismic monitoring, and provides a strain-structural plane slip-type rockburst failure mechanism analysis method for a drill-and-blast method tunnel. The present invention collects strain-structural plane slip-type rockburst microseismic data during tunnel construction; in light of engineering geological survey data, performs microseismic monitoring and data analysis on strain-structural plane slip-type rockburst that has occurred in a tunnel, divides a strain-structural plane slip-type rockburst risk area, and determines a microseismic rockburst early warning area; and, by means of these data, deeply understands a microseismic activity law of strain-structural plane slip-type rockburst of deep-buried drill-and-blast method tunnels, discriminates respective functions of tensioning and shearing in rock failure processes, comprehensively analyzes the failure mechanism of strain-structural plane slip-type rockburst, and further obtains the failure mechanism of strain-structural plane slip-type rockburst of the deep-buried drill-and-blast method tunnels, providing an important theoretical basis for predicting and preventing rockburst disasters.

A digital auxiliary repair method for an ancient building. The method comprises: point cloud data acquisition, point cloud model establishment, point cloud model optimization and model printing, which involve: scanning and photographing a damaged ancient building by using a three-dimensional scanner and an industrial camera, so as to obtain three-dimensional point cloud data of the ancient building; performing preprocessing, such as data registration, data denoising, data simplification and data segmentation, on the point cloud data to obtain data for establishing a three-dimensional model; optimizing the three-dimensional model; and by means of a 3D printer, obtaining a mold for a damage position of the ancient building, and on the basis of requirements, using the mold to perform molding to obtain a wooden or brick-mixed workpiece.

The invention discloses a lightweight concrete column beam durability evaluation method and device based on twinborn simulation, and relates to the technical field of twinborn simulation, and the method comprises the steps: collecting the degradation characteristics of a lightweight concrete column beam, and constructing a three-dimensional multi-scale structure model; executing coupling simulation to generate a twin simulation model; monitoring a column beam through a multi-source sensor, and determining a real-time performance degradation parameter; updating the twinborn simulation model by using the degradation parameters; and collecting future environment and load data, inputting the future environment and load data into the updated model, simulating a degradation evolution process, and generating a durability evaluation result. The technical problem that a prediction result and actual service performance have significant deviation due to the fact that a traditional durability evaluation method is difficult to dynamically couple a multi-physical field environment and a material microcosmic degradation mechanism is solved, and a dynamic evaluation system for virtual-real mapping is constructed through twinborn simulation. And the prediction precision of the degradation process of the lightweight concrete column beam and the dynamic deduction capability of the service life are improved.

The invention discloses a tunnel deep-buried drainage ditch rapid blasting excavation method based on vertical drilling, which comprises the following steps: step 1, detecting the geology in front of a tunnel by using vertical drilling coring, geological radar and TSP seismic wave technology, and constructing a three-dimensional model; 2, generating an asymmetric hole net layout based on a geological model and AI, and setting a drilling-free vibration isolation belt; the design of dense inside and sparse outside is adopted, and vibration propagation is blocked; thirdly, a three-stage air spacer is arranged at the bottom of the blast hole, segmented charging is implemented, the explosive energy release time is prolonged, and the single-segment explosive quantity peak value is reduced; fourthly, an electronic detonator is adopted for millisecond detonation, and peak vibration is weakened through the waveform superposition offset effect; 5, arranging fiber grating sensors in the tunnel, collecting data in real time and transmitting the data to the cloud AI platform; dynamically adjusting parameters based on the monitoring data; and 6, evaluating a blasting effect through a three-dimensional laser scanner, generating an evaluation report in combination with data, updating a BIM model database, and continuously optimizing an AI algorithm.

The invention provides a building construction site safety monitoring and early warning method and system based on the Internet of Things, and relates to the technical field of data processing.The method comprises the steps that a three-base-point dynamic topological structure is established in a target monitoring domain, a first datum point is arranged at the extension end of the axis vertical line of a slewing bearing of a tower crane, and a second datum point is arranged at the extension end of the axis vertical line of the slewing bearing of the tower crane; the second datum point is embedded in the radial section of a force bearing flange plate of the hydraulic jacking module, the third datum point is fixedly connected to the intersection joint of a deep foundation pit top beam and a supporting system, and a non-collinear vector set is constructed through three-point coordinate offset; and based on the non-collinear vector group, deformation compensation correction is performed on the dynamic calibration parameter set through a vector space topological transformation algorithm, a topological reconstruction data stream containing a displacement gradient tensor and strain energy density is generated, and a risk situation feature space is constructed based on the topological reconstruction data stream. According to the invention, the intelligent construction safety management is realized.

The invention discloses a deep covering layer panel rock-fill dam rheological numerical calculation method considering the seepage effect. The method comprises the steps that firstly, contact deformation between a panel and a dam body is simulated; then simulating the unstable seepage process of the rock-fill dam and the foundation, and solving the seepage problem with a free surface; carrying out seepage-stress coupling calculation on the dam body material, and establishing a seepage-stress coupling control equation of the dam body material; carrying out seepage-stress coupling calculation on the overburden foundation, establishing a seepage-stress coupling control equation of the foundation, and finally obtaining a relationship among stress, strain and pore pressure to realize the seepage-stress coupling calculation; numerical simulation is conducted, and a concrete faced rockfill dam rheological numerical simulation result considering the seepage effect is obtained. The problems that in the prior art, the stress deformation rule of the concrete faced rockfill dam under the seepage-rheology coupling effect is not clear yet, and meanwhile, a seepage-rheology coupling calculation method is not perfect enough are solved.

The invention provides a tunnel construction structure health on-line monitoring method and system, and the method comprises the steps: obtaining stress data, crack images and seismic wave signals of tunnel construction, and carrying out the preprocessing; obtaining and constructing stress-crack joint representation mapping, generating a first joint feature vector, and predicting a lining health state of a future # imgabs0 # time step; generating a second joint feature vector, and determining a stratum stress field of the future # imgabs1 # time step according to the second joint feature vector; constructing a tunnel lining damage probability model according to the stress data and the crack image, and determining an overall construction risk score; and dividing the construction risks into a plurality of grades. According to the method, data multi-modal fusion, structure-stratum joint modeling and AI enhanced prediction and early warning are achieved, the defects in the prior art are effectively overcome, the method can be widely applied to engineering scenes such as tunnel construction, subway construction and underground space development, and the construction safety and the structure health monitoring capacity are remarkably improved.

A collapsible trolley with a guardrail includes a rack assembly, a pull handle assembly provided in front of the rack assembly, a push handle assembly fixed behind the rack assembly, a caster assembly provided at a bottom of the rack assembly, and a canopy assembly provided above the rack assembly. The rack assembly includes a bottom rack, a front frame and a rear frame respectively provided at two ends of bottom rack, and side frames respectively provided at left and right sides of the bottom rack. The front frame is connected to the pull handle assembly, and the rear frame is connected to the push handle assembly. The collapsible trolley with the guardrail avoids the problems that the prior trolleys are prone to falling under load and have small holding strength. The collapsible trolley with the guardrail is simple and labor-saving to fold up, and provides a large usable volume.

The invention relates to the technical field of pile foundation monitoring, and discloses a pile foundation state real-time monitoring and diagnosis system based on a digital twinborn technology. The system comprises a multi-source data acquisition module, a data confidence evaluation module and an acoustic emission monitoring decision module. The multi-source data acquisition module comprises a plurality of sensor groups deployed at different depths of a pile foundation, each group comprises a strain sensor, an acceleration sensor, an acoustic emission sensor and a temperature sensor, and pile foundation data can be acquired in multiple dimensions; the data confidence evaluation module receives original data, generates a correction data sequence through time sequence noise separation and reconstruction, and calculates data confidence according to correction data distribution dispersion; the acoustic emission monitoring decision module judges whether acoustic emission monitoring is started or not according to the data confidence coefficient, and controls the acoustic emission sensor array at the top of the pile foundation to collect acoustic emission signals during starting. The system can comprehensively obtain pile foundation data, improve data accuracy, achieve early damage recognition and guarantee pile foundation safety.

A method for testing and evaluating lateral stiffness of small box girder bridges is provided. The method includes the following steps: a deflection sensor collects a deflection value of a measuring point based on a loading process of a loading vehicle; based on the deflection value of the measuring point and an information matrix of the loading vehicle, an influence line of longitudinal bridge deflection of each measuring point is obtained; based on the influence line of longitudinal bridge deflection, the influence line of lateral bridge deflection of small box girder bridge is obtained by interpolation method; and based on the influence line of lateral deflection of small box girder bridge, a stiffness evaluation result is obtained.

The invention discloses a full-life-cycle underground engineering geological safety risk collaborative management and control method and system. The method comprises the following steps: performing regional geological structure identification and geological risk identification on a target construction region, and constructing a regional geological digital model; regional construction monitoring information is obtained, and construction risk analysis and cavity prediction are performed in combination with a regional geological digital model, so that regional construction risk analysis information is obtained; constructing a carrier risk assessment model, and analyzing whether the current construction risk affects a building object on the ground or not through the regional construction risk analysis information and the regional construction monitoring information to obtain carrier risk assessment information; and based on the regional construction risk analysis information and the carrier risk assessment information, judging whether construction risk management and control need to be carried out, and if so, generating a risk management and control scheme to carry out regional construction safety risk collaborative management and control. And timeliness, comprehensiveness and decision reliability requirements of underground engineering construction management and control in a complex geological environment are improved.

An intelligent design method for a support scheme of a rock burst section in a TBM tunnel, relating to the field of tunnel engineering. The intelligent design method for the support scheme of the rock burst section in the TBM tunnel comprises: determining a surrounding rock class on the basis of TBM mainframe operation data, surrounding rock feedback evaluation, and a tunnel engineering geological survey report, and using a rock burst intensity assessment method to predict a rock burst grade; and on the basis of the surrounding rock class and the rock burst grade, using a computer deep learning technology to determine an initial surrounding rock support method. The method effectively avoids the impact of subjective factors, actively utilizes TBM mainframe operation data and surrounding rock feedback evaluation, utilizes big data processing and an artificial intelligence technology to propose an intelligently designed support scheme for a rock burst section in a TBM tunnel, and can provide an efficient support scheme for field construction workers for a rock burst section in a tunnel.

Disclosed is a magnetic building block, including a main housing, a top cover, a bottom cover, and magnets. The main housing is cuboid-shaped, the main housing is provided with a cavity, and an upper opening and a lower opening are formed on a pair of opposite faces of the main housing. The top cover is detachably connected to the upper opening, the bottom cover is detachably connected to the lower opening, and a mounting groove is formed on either of the top cover and the bottom cover. The magnet is arranged inside the mounting groove. Structural design of the main housing of the magnetic building block is simplified, the top cover and the bottom cover are detachably connected to the main housing in an inserted manner, and the magnets are uniformly arranged at the four right-angle corners of the top cover and the bottom cover.

The present invention relates in general to a linear drain system for terminating installed tiles at the edges of balconies or terraces and redirecting water away from the walls below. The assembly has an elongate channel section forming a longitudinally extending trough, the trough having a floor with a first interior surface shape and a pair of wall sections extending substantially vertically upward from opposing longitudinal edges of the floor. An insert is releasably disposed in the elongate channel section to overlie the trough floor. At least one outlet assembly having a central mounting portion with a surface shape that is the same as the first interior surface shape of the floor and is connected to the floor. The at least one outlet assembly is coupleable to a plumbing system. An elongate edge assembly extends longitudinally from one of the pair of wall sections of the elongate channel section. A flange extends orthogonally from an upper edge of the wall section with a leg portion extending downwardly from a longitudinal edge of the flange. The leg portion has a lip extending outwardly at an angle from a distal end of the leg portion. The floor drain assembly is positioned adjacent to a free edge of the balcony with the leg portion and lip of the elongate edge assembly positioned to direct fluids away from a vertical face of the free edge of the balcony.

The invention discloses a spiral anchor foundation bearing effect evaluation method and system, and relates to the technical field of finite element analysis, and the method comprises the steps: building a soil body and spiral anchor finite element model, setting boundary conditions, and obtaining finite element data; according to the finite element data, a local damage variable is introduced based on a stress-strain degradation function, local shear band development is simulated, first damage data are generated, and the first damage data comprise a first stress-strain curve and a first local damage variable; layering the soil body, and optimizing the first damage data based on intra-layer constraints to obtain second damage data; calculating full-field stress, displacement and bearing capacity for effect evaluation based on a finite element solver according to the second damage data; the problem of inaccurate evaluation of the screw anchor effect caused by the nonlinear behavior and the layered heterogeneous effect of the soil body is solved.

The present application proposes a method and system for quantitative derivation of an on-line evaluation layered model for evaluating concrete dam operation performance, and a storage medium, and relates to the technical field of dam operation safety monitoring and management. A logic architecture of quantitative derivation of the concrete dam operation performance mainly has two aspects, a longitudinal dimension and a transverse dimension. The longitudinal dimension is the principal line of assessing longitudinal evaluation of the on-line evaluation layered model, and an analysis idea of the concrete dam from local to global and from details to whole is objectively reflected from six levels of monitoring data, diagnosis methods, monitored items, evaluation indicators, key parts and an overall project. The transverse dimension is an element set for evaluating the concrete dam operation performance, comparison of importance degrees of various assessment elements at the same level is conducted, and at the same time, an association relationship between the elements at the same level is established. Therefore, by means of comparison of the elements in the transverse dimension and recursion of the various levels in the longitudinal dimension, the overall concrete dam operation performance is automatically and rapidly evaluated, and grading results of an operation state of a concrete dam are given through a safety assessment set, such that safety evaluation of the concrete dam operation performance is more systematic and comprehensive in analysis method and engineering part, and more explicit and reliable in derivation logic and evaluation efficiency.

The invention relates to the technical field of pile foundation construction, in particular to a pile foundation pore-forming quality intelligent management and control method and system based on drilling machine working parameters, and the method comprises the following steps: constructing a data acquisition array, and obtaining key working parameters of a drilling machine and pile foundation pore-forming quality index data based on the data acquisition array; establishing a standard time sequence database; building a dynamic correlation model based on the standard time sequence database, and building a quality judgment standard of the pile foundation pore-forming based on the dynamic correlation model; dynamically predicting the pile foundation formed hole according to the dynamic correlation model to obtain the quality state of the pile foundation formed hole, and obtaining a quality deviation result of the pile foundation formed hole in combination with the quality judgment standard; and a regulation and control strategy of the drilling machine is constructed based on the quality deviation result, the key working parameters are adjusted according to the regulation and control strategy, and intelligent control over the quality of pile foundation hole forming is achieved. Intelligent control over the pile foundation hole forming quality is achieved through driving of the working parameters of the drilling machine.

The invention belongs to the technical field of earthquake disaster scene construction, and discloses an earthquake disaster scene construction method based on big data, and the method comprises the following specific steps: 1, multi-source heterogeneous data collection and preprocessing ground structure data collection: employing a multi-platform remote sensing technology to obtain urban building group space distribution characteristics; a three-dimensional coupling model of an underground pipe network and a ground building is constructed by integrating multi-source data, so that the defect of isolated analysis of a ground system and an underground system in a traditional method is overcome, and synchronous simulation of a dynamic association process of pipe network fracture and building damage is realized; the additional influence of pipe network failure on the building foundation stability and the linkage effect of soil erosion caused by leakage fluid are accurately analyzed, meanwhile, a time-space association rule of pipe network fracture events and multiple types of secondary disasters such as building fire disasters and fire fighting failure is established, and the building group function paralysis risk and the disaster diffusion range under different damage degrees are dynamically predicted; and the disaster evolution path is displayed in real time through a visual platform.

The deep water port steel pipe pile foundation construction method comprises the steps that three-dimensional geological modeling and pile position positioning are conducted, specifically, a construction area is scanned through an unmanned aerial vehicle carrying a multispectral radar, geological data are obtained, a dynamic three-dimensional geological model is constructed based on a random forest algorithm, and the pile position layout and the pile sinking path of steel pipe piles are planned; multi-parameter data real-time collection and transmission: collecting perpendicularity, pile body stress and hammering vibration data in real time, uploading encrypted data to a cloud platform through a 5G / Beidou dual channel, and storing the encrypted data; the cloud platform calculates the optimal hammering energy, the vibration frequency and the hammer stopping standard by using a reinforcement learning algorithm in combination with the dynamic three-dimensional geological model and the real-time data; and pile sinking is conducted, specifically, the posture of a pile body is monitored through a laser radar and an inertial measurement unit, a PID control algorithm is adopted to drive a walking type pile driver hydraulic system, and pile sinking is conducted. According to the method, the scientificity of pile position layout and the reasonability of a pile sinking path are improved; the pile sinking efficiency is improved; the energy consumption is reduced; the pile foundation stability is guaranteed.

The invention discloses a low-carbon stability conjoint analysis method and system for underground engineering, and particularly relates to the technical field of engineering modeling optimization, and the method comprises the steps: obtaining rock-soil mechanical parameters, construction parameters and full-life-cycle carbon emission factor data of a target area; dividing a collaborative optimization region based on parameter fusion and identifying a conflict section; constructing a mechanical stability numerical model and a carbon emission quantitative model, outputting double indexes, and generating a double-target optimization decision space through dynamic weight distribution; traversing and screening candidate schemes meeting a safety threshold and carbon emission constraints, and extracting an anti-interference Pareto solution set in combination with geological sensitivity simulation; a low-carbon-stability balance scheme is generated through reverse coupling verification, and full-life-cycle low-carbon stability optimization support is provided for complex geological engineering.

The invention provides an intelligent optimization method and system for tunnel smooth blasting blast holes in layered rock mass, and belongs to the technical field of tunnel engineering and blasting. The method comprises the steps of collecting stratified rock geological data, evaluating and extracting features, constructing a multi-objective optimization function, solving by an intelligent optimization algorithm, performing construction feedback and dynamic optimization and the like. The method comprises the following steps of: acquiring data by using various geological exploration equipment, performing evaluation processing on the data by using a support vector machine model, constructing an optimization function considering multiple indexes, solving an optimal blast hole parameter combination by combining a genetic algorithm and a particle swarm optimization algorithm, and finally feeding back a blasting effect to dynamically adjust an optimization scheme. According to the intelligent optimization method and system for the smooth blasting blast holes of the tunnel in the layered rock mass, the blasting effect can be improved, over-break and under-break and concrete consumption can be reduced, the construction cost can be reduced, the construction safety and efficiency can be enhanced, and remarkable economic and social benefits can be achieved for layered rock mass tunnel engineering construction.

The invention relates to the technical field of offshore wind power, and discloses a bearing performance degradation evaluation method for an offshore wind power foundation structure, which effectively solves the problem of neglecting corrosion heterogeneity in the prior art by acquiring initial three-dimensional geometric point cloud data and historical service data and constructing a first finite element model. The model better fits the actual structure state; the local damage evolution and cumulative effect are simulated by means of a second finite element model, meanwhile, material degradation evaluation is combined, the interaction of three key factors including corrosion thinning, local damage and material mechanical property degradation is comprehensively considered, and the defect that the multi-factor coupling influence is not fully solved in the prior art is overcome; the extreme environment load condition is introduced to construct the third finite element model, the performance degradation law of the structure in the extreme environment can be analyzed, and then the reliability and applicability of evaluation are improved by establishing a mathematical relation model and predicting the full life cycle bearing performance.

The invention discloses a perpendicularity control method and platform for tubular pile construction in the technical field of engineering construction tubular pile construction, the platform comprises a reference positioning module and a dynamic adjustment module, the reference positioning module is used for establishing a first coordinate system for an initial vertical reference of a tubular pile; the dynamic adjusting module is used for establishing a second coordinate system with the tubular pile as the reference, monitoring and correcting the perpendicularity deviation of the tubular pile in the construction process in real time and correcting the perpendicularity deviation until the perpendicularity meets the requirement, and the coordinate axis of the second coordinate system and the coordinate axis of the first coordinate system keep the spatial corresponding relation; according to the scheme, through multi-sensor data fusion and closed-loop control, intelligent control over the perpendicularity of the tubular pile is achieved, and the method is suitable for rapid construction of the tubular pile.

The invention relates to the technical field of bridge construction, in particular to a swivel bridge ectopic support cast-in-place construction method which comprises the following steps: S1, constructing a three-dimensional model of a bridge and a support by using a BIM technology, performing virtual simulation, obtaining a simulation result by simulating a construction process, and outputting a construction scheme; s2, monitoring the support structure and the overall state of the bridge in real time on the swivel bridge construction site through monitoring equipment, and collecting real-time data of the construction site; when the system is used, equipment idling is reduced, personnel are reasonably distributed, material transportation is optimized, the construction efficiency is improved, intelligent optimization of data driving is achieved through BIM + AI, the construction automation level is improved, accurate analysis of supports and construction data is facilitated, the problem finding efficiency is improved, construction personnel can conveniently and rapidly intervene, construction delay is reduced, and the construction efficiency is improved. Potential risks can be predicted before faults occur, potential safety hazards are reduced, the construction sequence is adjusted through intelligent analysis, and delay caused by abnormal data is reduced.

The invention provides a method and system for estimating the vertical bearing capacity of a steel pipe pile, and relates to the technical field of pile foundation engineering.The method comprises the steps that a static cone penetration test is conducted on a seabed stratum needing to be arranged for a steel pipe pile foundation, experimental data are obtained and subjected to normalization processing, soil behavior types are divided, and soil layer mechanical parameters are inverted; calculating side friction resistance and end resistance of the steel pipe pile based on the soil layer mechanical parameters to obtain initial static ultimate bearing capacity; historical equivalent cyclic load experimental data of waves in the construction sea area are obtained, an equivalent cyclic load reduction coefficient, a liquefaction reduction coefficient and a time-varying corrosion reduction coefficient are constructed, and a comprehensive time-varying reduction coefficient is constructed; the initial static ultimate bearing capacity is corrected based on the comprehensive time-varying reduction coefficient, the vertical bearing capacity of the steel pipe pile in the long-term service period is predicted, and the time-varying ultimate bearing capacity is obtained; setting an evaluation threshold according to the time-varying ultimate bearing capacity, dynamically adjusting a bearing capacity grading threshold interval, and outputting a bearing capacity grading evaluation result.

The invention relates to a railway bridge post-earthquake traffic safety probability evaluation method and device, which are applied to the technical field of traffic safety, and the method comprises the steps: obtaining an earthquake-induced damage value set of each component through a probability distribution function of different material parameters of a railway track-bridge system; the method comprises the following steps: acquiring a mapping relation between the earthquake-induced damage of a key component and track irregularity through a balance differential equation of a bridge and railway track structural mechanical model, and acquiring earthquake-induced track random irregularity samples of different components based on an earthquake-induced damage value set of each component and the mapping relation between the earthquake-induced damage of the key component and track irregularity; constructing a power spectrum of the track irregularity caused by vibration of different components; establishing a rapid prediction model of the driving performance indexes on the axle after the earthquake through the earthquake-induced track irregularity sample and the coupling dynamic response result; through a Monte Carlo method, based on the earthquake-induced track irregularity power spectrum and the rapid prediction model, the overrun probability and the confidence interval of the driving safety on the axle after the earthquake are rapidly and accurately obtained.

The invention provides a building earthquake damage scene construction method and system based on an unmanned aerial vehicle remote sensing image, and relates to the technical field of urban earthquake resistance and disaster prevention, and the method comprises the steps: constructing a three-dimensional space model of a building through an urban earthquake damage simulation system, and determining the nonlinear model parameters of the building; carrying out earthquake damage scene construction by taking a single building as granularity by adopting an elastic-plastic time-history analysis method, and determining a building damage index; according to a mapping relation between a preset building damage index and a building earthquake damage risk level, determining an earthquake damage risk level of each building; and according to the building list, the anti-seismic performance of the building with the specified earthquake damage risk level is detected, and anti-seismic measures corresponding to the building with the specified earthquake damage risk level are generated. According to the geometric attribute information of the building, the three-dimensional space model is constructed in combination with the urban earthquake damage simulation system, the earthquake damage risk level of the single building is accurately divided, and the refinement level of urban earthquake resistance and disaster prevention is improved in combination with earthquake resistance measures.

The invention discloses crack-chloride ion double-triggered subsea tunnel corrosion-resistant concrete and a preparation method thereof, and relates to the field of subsea tunnel engineering materials. The concrete is prepared from the following components in parts by weight: 400 to 500 parts of Portland cement, 50 to 80 parts of fly ash, 60 to 100 parts of superfine mineral powder, 1000 to 1100 parts of coarse aggregate, 700 to 800 parts of fine aggregate, 140 to 160 parts of water, 10 to 20 parts of self-repairing microcapsules and 1 to 5 parts of a water reducing agent, the self-repairing microcapsule comprises a capsule wall material, a self-repairing material and a layered dihydroxyl composite metal oxide. A crack-chloride ion double-response system is constructed, and the limitation of traditional single trigger repair is broken through. When a crack with a certain width appears in the concrete, the capsule wall of the self-repairing microcapsule is broken to release the repairing component, so that effective filling of the crack is realized; and meanwhile, the layered double-metal hydroxide can directionally adsorb chloride ions to form a stable compound, so that the migration rate of the chloride ions is remarkably reduced.