169 results about "Damage factor" patented technology

The invention relates to the technical field of structural damage identification, in particular to an unsupervised structural damage identification method based on CAE-LSTM. The method comprises the following steps: training a CAE-LSTM model by using a training set to obtain a trained model, and reconstructing unknown data including health data and damage data by using the trained model to obtain a reconstruction error of the health data and a reconstruction error of the damage data; determining a damage sensitivity factor of the acceleration response signal of each batch by combining a probability density function of health data, a probability density function of damage data and a reconstruction error in the acceleration response signal of each batch of the undamaged structure so as to determine a damage threshold and screen a damage position; acquiring a damage factor according to the health state data and the damage state data of the damage position sensor; and judging the damage degree based on the size of the damage factor. According to the invention, the accuracy and reliability of the structural damage identification result are improved.

The invention relates to a concrete degradation simulation method and system under continuous load-chloride ion coupling, and solves the problems that systematic research on overall mechanical property degradation of a concrete structure under the load and chloride ion coupling effect is lacked, and the degradation condition of the concrete structure in an actual service environment is difficult to comprehensively reflect. The method comprises the following steps: applying a continuous load to a test block, preparing a solution according to a stress type to determine a chloride ion diffusion direction, applying an electric field to accelerate migration and maintain test stability, and after an experiment, measuring the penetration depth and calculating a diffusion coefficient; in the process, multi-dimensional data such as cracks and acoustic emission are collected and subjected to PCA dimension reduction and redundancy removal, then damage factors are inversed through deep learning modeling in combination with dual-stage optimization and physical constraint, and finally damage and chloride ion parameters are fused to form gradient parameters fitting actual degradation. The method has the following effects that the concrete degradation process is accurately simulated, a basis is provided for durability evaluation and life prediction, and the engineering safety and economy are improved.

The invention relates to the technical field of traffic infrastructure maintenance, and particularly discloses a method for evaluating the anti-collision toughness of a rusted steel bar bridge structure after ship collision, and the method comprises the following steps: firstly, building a rusted bridge pier finite element model based on a rusted steel bar concrete theoretical degradation model; simulating ship collision by adopting an equivalent static method, and determining dynamic damage factors of the ship; structural nonlinear static analysis and nonlinear dynamic analysis are conducted by considering sudden external force to obtain a bridge function loss function, and then a bridge function is calculated; constructing a response surface agent model to perform dynamic response prediction; determining a bridge structure damage state judgment criterion; the vulnerability of the rusted bridge is calculated through Monte Carlo simulation; and according to the bridge function loss function, combining the repair time and the recovery function to calculate a structure anti-collision toughness index. The method provided by the invention fills up the blank of ship collision resistance toughness evaluation of the coastal rusted bridge pier, provides a scientific basis for bridge safety evaluation and maintenance decision, and is of great significance for guaranteeing safe operation of the bridge.

The invention provides a composite material progressive failure prediction method based on LSTM-DNN. The method comprises the following steps: generating a parameter distribution set of a composite material through a Monte Carlo method; carrying out secondary development on the ABAQUS by utilizing a Python script, simulating a stress-strain curve and a damage-damage evolution process of the composite material under different conditions, and extracting time sequence data; constructing a series model combining an LSTM network and a DNN network for extracting and fusing time sequence features and static features of the composite material, and predicting a stress sequence and a damage factor sequence; a model is trained based on a back propagation algorithm, parameters are optimized through a loss function, and prediction precision is improved in combination with physical law constraints; new displacement and load data are input into the model, a stress sequence and a damage factor sequence are generated, and the progressive damage state and residual life of the composite material are predicted. The LSTM is used for modeling and predicting the time-dependent constitutive and progressive damage process of the composite material damage process, and the accuracy of the damage path can be improved.

The invention relates to the field of tunnel early warning, in particular to an adjacent existing line construction disturbance degree evaluation method and system, and the method comprises the steps: determining stress distribution data and damage factor distribution data of regions where an engine oil tunnel and a construction tunnel are located through finite element analysis; then, a disturbance evaluation area between the existing tunnel and the construction tunnel is extracted, stress concentration areas are extracted from the disturbance evaluation area, and after the areas are unstable, large disturbance can be generated on the existing tunnel. And extracting damage factors of the stress concentration area from the damage factor distribution data, and delimiting a possible influence range based on the stratum and the basic information in the construction process. An attenuation model of vibration transmission during operation of the construction tunnel is constructed, and the attenuation model evaluates vibration energy reaching the stress concentration area. And comprehensively evaluating whether the stress concentration area has an instability risk or not by combining the damage factor data of the stress concentration area.

The invention provides a construction method of a slip band soil three-dimensional creep constitutive model considering a hardening-damage effect, and relates to the field of geotechnical engineering numerical calculation, and the method comprises the steps: obtaining an original slip band soil creep test result; constructing a hardening evolution equation and a damage evolution equation; constructing a seven-element creep model considering the hardening-damage effect through the hardening evolution equation and the damage evolution equation; on the basis of constant volume hypothesis and in combination with a seven-element creep model, a slip band soil three-dimensional creep constitutive model considering the hardening-damage effect is constructed; and according to the creep test result of the original-state slip band soil, solving the creep parameters of the slip band soil three-dimensional creep constitutive model by combining a staged test curve fitting method, and completing the construction of the slip band soil three-dimensional creep constitutive model. A hardening factor and a damage factor are respectively introduced into creep parameters to quantitatively characterize the strengthening and weakening effects of the rock-soil body performance in the creep process, and the creep mechanical behavior of the structural slip band soil can be accurately described.

The present invention relates to a quantitative evaluation method for the rockburst proneness of surrounding rock considering the excavation disturbance effect. The basic quality grade, geological strength index, and uniaxial compressive strength of intact rock of the surrounding rock are directly obtained according to the engineering geological exploration data; preliminarily judge whether the surrounding rock has the proneness to rockburst; judge the on-site acoustic wave test conditions of the surrounding rock. If the conditions are not met, the damage factor characterizing the damage degree of the surrounding rock is determined according to the Hoek-Brown strength criterion in combination with the damage situation of the surrounding rock after excavation on-site; if the conditions are met, the acoustic wave velocities at different depths on the surface of the surrounding rock are obtained, and the ranges of the damaged area and the original rock area are determined; the deformation modulus of the rock mass in the original rock area is determined; the rockburst proneness of the rock mass in the original rock area and the damaged area is evaluated; the present invention aims to solve the problem of the cumbersome evaluation process for the rockburst proneness of surrounding rock with different degrees of damage caused by the excavation disturbance effect, so as to realize the rapid evaluation of the rockburst proneness of the surrounding rock.

The invention discloses a dangerous rock mass structural surface dynamic damage identification method based on a resistance distribution state, and relates to the technical field of rock-soil slope dangerous rock mass collapse monitoring and early warning, and the method comprises the steps: respectively arranging electrode arrays at two sides of the junction of a test dangerous rock mass and a stable bedrock; the electrode array comprises a group of power supply electrodes and a plurality of measuring electrodes; simulating a structural surface damage expansion process of the test dangerous rock mass based on a stepped damage loading mode, and obtaining a dangerous rock mass fracture damage factor in the structural surface damage expansion process; acquiring resistivity data corresponding to the damage expansion process of the structural surface based on the electrode array; based on the dangerous rock mass fracture damage factors and the resistivity data, constructing a damage and resistivity correlation model; and based on the damage and resistivity correlation model, carrying out damage identification on the structural surface of the to-be-identified dangerous rock mass. The technical problem that in the prior art, it is difficult to accurately capture hidden structural surface damage is solved.

The invention discloses a concrete beam damage assessment method and system fusing crack images and multi-scale features, and relates to the technical field of structural health monitoring. The method comprises the following steps: firstly, obtaining a binary image based on an original crack image of a concrete beam body; then, explicit features representing the macroscopic geometrical morphology of the crack are extracted from the binarized image, and implicit features representing the microscopic complexity and heterogeneity of the crack based on the multi-fractal theory are extracted from the binarized image; secondly, fusing the two types of features to form a fused feature space; and finally, training a machine learning model based on the feature space, establishing a nonlinear mapping relation between the machine learning model and a concrete beam damage factor, and realizing automatic and quantitative evaluation of a damage state by using the model. According to the method, dominant and recessive multi-scale features are fused, the defects that a traditional method depends on artificial experience and feature extraction is one-sided are overcome, the damage state can be represented more comprehensively and accurately, and the objectivity, accuracy and efficiency of evaluation are remarkably improved.

The invention discloses a method for predicting high-temperature and complex stress of a ceramic-based composite material based on strain control damage evolution, and belongs to the technical field of stress prediction of ceramic-based composite materials. The method comprises the following steps: determining material high-temperature performance degradation conditions according to temperature; the total strain (mechanical strain and thermal strain) of the material is calculated, and then based on a three-dimensional failure criterion of strain control, six damage initial criterion equations including stretching and compression in the warp direction, the weft direction and the out-of-plane direction are constructed; establishing an evolution model of damage coefficients by introducing a coupling mechanism of damage factors in different directions; combining a multi-linear constitutive relation of the ceramic matrix composite material to construct a rigidity degradation matrix, and realizing rigidity adjustment of the failure unit; and finally deducing a stress-strain relation equation to complete stress prediction of the material under the conditions of high temperature and complex load. The prediction method provided by the invention can accurately predict the complex stress state of the ceramic matrix composite material under the combined action of the high temperature and the mechanical load.

The application provides a bridge damage assessment method and system caused by ship collision and a medium, and relates to the technical field of bridge health monitoring. The method comprises the following steps: collecting acceleration response signal arrays of different heights and positions of a bridge pier, and generating a time series matrix; drawing a time-frequency coherence spectrum under different base functions, and obtaining a coherence spectrum entropy; determining the optimal base function based on the information entropy principle; obtaining the local correlation coefficient of the time series matrix in the time-frequency space under the optimal base function, and drawing a time-frequency coherence spectrum; evaluating the correlation and dependence degree between time series according to the local correlation coefficient and the time-frequency coherence spectrum, and judging whether the ship-bridge collision damage occurs; if the collision damage occurs, calculating the time-frequency coherence damage factor of the time series matrix at different positions, and determining the collision position and the collision degree according to the maximum protruding value in the time-frequency coherence damage factor trajectory curve. The method can effectively separate the influence of environmental factors, and provides basic method support for establishing the ship-bridge collision damage assessment technology.

The invention discloses an aero-engine turbine blade material in-situ mechanical test system and method, and the system comprises a multi-axis loading unit which is used for simulating the multi-axis stress state of a turbine blade under an actual working condition; the high-temperature environment module is used for realizing local rapid heating of the sample; the in-situ observation system integrates a high-temperature microscope lens with a long working distance and a high-speed camera and is used for observing and recording microscopic damage evolution of the turbine blade sample in a high-temperature loading process in real time; and the control unit is internally provided with a temperature-stress decoupling control model and a microdefect identification model and is used for compensating the plastic deformation heat effect in real time and quantifying the damage factor D. Synchronous loading of centrifugal force is achieved through the three-axis servo actuator, composite stress is accurately reproduced, the load error is small, and the limitation that a traditional single-axis test cannot simulate the multi-source load of the blade is broken through. Meanwhile, plastic work-induced temperature rise interference is reduced, and the technical problem of data distortion caused by temperature drift in a high-temperature test is solved.

The invention discloses a guided wave self-adaptive enhanced time reversal imaging method and system for vehicle structure damage and a computer program product, and belongs to the technical field of aircraft structure health monitoring. The envelope of the damage scattering signal is calculated through Shannon continuous complex wavelet transform and Hilbert transform, and m wave bands with the maximum peak value are selected as potential damage scattering signal wave bands; the damage factor of each potential wave band is calculated, the wave band with the maximum damage factor is a real damage scattering wave band, other signals are set to be zero, and therefore guided wave self-adaption enhancement is achieved, and the signal-to-noise ratio is increased; on the basis of extraction of a damage scattering wave band, a time reversal focusing imaging method is adopted, imaging results generated when all the sensors serve as excitation are superposed, and the point with the maximum pixel value is the damage position. The implementation process is accurate and efficient, and damage positioning can be achieved through the piezoelectric sensor monitoring network on the main load-bearing structure.

The present disclosure describes an early warning method for assessing the fatigue damage state of a tie rod of a diameter expanding machine, based on the oil pressure of a power cylinder. (1) An oil pressure sensor is installed on the power cylinder, and collects oil pressure data in real time. (2) Required parameters are input into an early warning system. (3) A health state indicator function model of the tie rod is constructed. (4) Calculating the constant term in a linear equation allows for the construction of a tie rod S-N fatigue curve equation at a 95% confidence level. (5) A cumulative damage factor and a current health indicator of the tie rod are calculated. (6) If the early warning system determines that the current health indicator of the tie rod is 60.5 or lower, an alarm is triggered.

The invention relates to a wood nondestructive testing method and system based on acoustic emission damage factors, and belongs to the technical field of wood dynamic nondestructive testing. The method comprises the steps of installing an acoustic emission sensor, collecting an effective acoustic emission signal, calculating a root mean square value, calculating a peak value, calculating a waveform index, calculating a damage factor and evaluating the wood damage grade according to the damage factor. Only effective acoustic emission signals are collected, and the signal storage space is effectively reduced; the damage factor can be directly calculated without any time-frequency domain analysis on the originally acquired signal, so that the damage degree evaluation is realized; damage factors can be directly marked on an acoustic emission oscillogram, and the method is more visual and effective.

The invention discloses a deep cutting rock high slope unloading damage dynamic evaluation method. The method comprises the following steps: determining an excavation range of a deep cutting rock high slope, determining physical and mechanical parameters of the deep cutting rock high slope, testing wave velocity values and deformation moduli at different positions of the high slope, and determining a reference wave velocity value when the deep cutting rock high slope is not damaged and a reference deformation modulus when the deep cutting rock high slope is not damaged; establishing a deep cutting rock high slope unloading area range determination model with coupling of an acoustic wave test and a drilling elastic modulus test; determining the range of the unloading damage area of the deep cutting rock high slope; calculating an unloading damage comprehensive evaluation coefficient value; and evaluating according to the calculated unloading damage comprehensive evaluation coefficient value of each coordinate point. According to the method, the single evaluation of the unloading damage of the deep cutting rock high slope in the past can be broken through, the unloading damage factors caused by engineering disturbance, rock mass degradation and environmental evolution are added, the evaluation system is more comprehensive, and quantitative evaluation of multi-factor coupling can be realized.

The invention discloses a wind power tower monitoring and safety assessment method based on acoustic emission and electromechanical impedance. The method comprises the following steps: arranging piezoelectric patches for acquiring response signals and piezoelectric patches in a reference state on the outer surface of a wind power tower; the method comprises the following steps: setting a triggering threshold value for monitoring an acoustic emission signal and the size of a data buffer area, preprocessing the collected original signal, constructing a time-frequency characteristic matrix, calculating a damage factor and judging cracks; when crack signals are detected, preprocessing of the signals under acoustic emission monitoring is stopped, and broadband excitation signals are applied to the piezoelectric patches; and acquiring response signals of the piezoelectric patches, extracting low-frequency components of the signals, comparing the currently measured impedance spectrum with a reference state, selecting an RMSD index to perform damage evaluation on the wind power tower, identifying the change degree of the structural performance, and quantifying the influence of damage on the structural safety of the wind power tower. According to the invention, high-precision identification of the crack signal is realized, and the monitoring accuracy and the detection efficiency are effectively improved.

The invention relates to the technical field of asphalt pavement structure design, in particular to a heavy-load durable asphalt pavement gradient structure in a multi-field coupling environment and a design method, and the structure comprises a high-modulus base layer, a tough middle layer and an anti-slip surface layer which are sequentially stacked from bottom to top; the dynamic modulus of the high-modulus base layer is larger than or equal to 14,000 MPa, the thickness of the high-modulus base layer is 18-25 cm, the fracture energy of the tough middle layer is larger than or equal to 1.5 kJ / m, the thickness of the tough middle layer is 8-12 cm, the structural depth of the anti-skid surface layer is larger than or equal to 0.8 mm, the thickness of the anti-skid surface layer is 4-6 cm, and the modulus gradient ratio of the base layer to the middle layer to the surface layer is (2.8-3.5): (1.4-1.8): 1. According to the method, a simulation model for coupling a temperature field, a humidity field and a heavy load stress field and a freeze-thaw damage factor quantification formula are established, so that dynamic analysis of a multi-factor collaborative degradation effect such as freeze-thaw cycle, high-temperature rutting and interlayer shear is realized, and the performance prediction precision under the environment and load coupling action is greatly improved.

The invention discloses a water conservancy project construction progress and quality management system and method, and belongs to the technical field of water conservancy project construction progress and quality management, and the method comprises the steps: S1, obtaining real-time construction parameters, a design reference value and environment load data; s2, based on the real-time construction parameters and the design reference value, calculating to obtain a comprehensive construction deviation index; s3, combining the building information model data and the comprehensive construction deviation index to construct a digital twinborn model containing an initial defect; s4, based on the digital twinborn model containing the initial defect, coupling the comprehensive construction deviation index and the environmental load data, and calculating to obtain an accumulated damage factor; and S5, determining a long-term health degree score based on the accumulated damage factors, and laying an accurate mathematical foundation for subsequent full life cycle performance prediction.

The invention relates to the field of roadway supporting, and provides a method and system for monitoring the damage and deterioration degree of roadway surrounding rock.The method for monitoring the damage and deterioration degree of the roadway surrounding rocks.The method comprises the steps that the drilling position is determined on the roadway surrounding rocks.The drilling position is determined; wave velocities of different depths of the surrounding rock are obtained in the drilling depth direction; determining the damage degradation depth of the surrounding rock based on the wave velocity; and determining a surrounding rock damage degradation range factor and a damage factor based on the damage degradation depth. The method for monitoring the damage and deterioration degree of the surrounding rock of the roadway is used for overcoming the defect that the damage and deterioration degree of the surrounding rock of the roadway is unclear in the prior art, the damage and deterioration range factor and the damage factor of the surrounding rock are determined by drilling the surrounding rock of the roadway and detecting the wave velocity in the drill hole, and then the damage and deterioration area of the surrounding rock is monitored. The comprehensive assessment of the roadway surrounding rock is realized, targeted support is performed on the surrounding rock damage and deterioration area, the roadway support effect is improved, and the cost is reduced.

The embodiment of the invention discloses a calculation method and device for the time-varying failure probability of a hydrogen conveying pipeline with corrosion defects, and the method comprises the steps: building a pipeline limit state equation based on a reliability theory through a hydrogen-induced damage factor, and the pipeline limit state equation comprises a pipeline leakage limit state equation and a pipeline burst limit state equation; solving the pipeline limit state equation to obtain a failure probability corresponding to each defect in the pipeline; determining a target equivalent unit normal vector based on the linear limit state function of the pipeline; the linear limit state function is constructed based on the failure probability corresponding to each defect of the pipeline; and determining the time-varying failure probability of the pipeline according to the target equivalent unit normal vector, wherein the time-varying failure probability comprises the leakage failure probability of the pipeline in the set time and the burst failure probability of the pipeline in the set time. According to the technical scheme, rapid and efficient calculation of the time-varying failure probability of the hydrogen-doped natural gas pipeline containing the corrosion defect is achieved, and the method has important significance in guaranteeing pipeline safety.

The application discloses an offshore wind turbine collision damage evaluation method of improved empowerment method, and relates to the technical field of ocean engineering, and comprises the following steps: S1, obtaining damage data and data processing: a finite element simulation model of a ship colliding with an offshore wind turbine is constructed, collision under different collision conditions is simulated, damage indexes are extracted, and a mathematical model between collision damage factors and damage evaluation indexes is constructed; S2, assigning weights of each collision damage factor and each damage evaluation index: using an analytic hierarchy process with objective information correction to correct the weights, using a fuzzy inverse equation method to calculate and select the weights, combining the subjective and objective to determine multiple possible weight vectors as an alternative set of the fuzzy inverse equation method, obtaining a Nash equilibrium solution of the multiple weight vectors, and solving the optimal weight; S3, implementation of the evaluation model: determining a wind turbine damage grade division basis and corresponding maintenance measures, defining a membership function, constructing a second-order comprehensive evaluation matrix, and outputting a damage degree through fuzzy comprehensive evaluation.

The invention provides a rock mass blasting parameter inversion method, electronic equipment and a storage medium, and belongs to the technical field of blasting parameter design. The method comprises the steps that the damage tolerance and first blasting parameters of a rock mass are determined; the explosion process of the explosive is divided into a first stage dominated by stress waves and a second stage dominated by detonation gas. In the first stage, damage factors of the rock mass under stress wave damage are calculated. In the second stage, based on the damage factors, the crack expansion degree of the rock mass under the explosion gas damage is calculated, the damage prediction radius of the rock mass is obtained, and a damage prediction model is constructed. And calculating a first damage radius of the rock mass under the first blasting parameter based on the damage prediction model. When the first damage radius is smaller than or equal to the damage tolerance, the first blasting parameter is output, otherwise, the first blasting parameter is adjusted to be a second blasting parameter, and when the second damage radius is smaller than or equal to the damage tolerance, the second blasting parameter is output. The inversion method provided by the invention can improve the precision degree of controlling the blasting damage range.

The invention discloses a deep surrounding rock anchor rod spacing quantitative determination method based on fracture toughness parameters. The method comprises the following steps: obtaining the fracture toughness and uniaxial compressive strength of rock through an indoor test; determining a uniaxial compression parameter and an elastic modulus of the rock mass by combining a geological strength index GSI, a damage factor D and a Hoek-Brown criterion; calculating a brittleness index B4 by using the fracture toughness of the surrounding rock, the uniaxial compressive parameter of the rock mass and the elastic modulus; and based on the brittleness index B4, the rock mass elasticity modulus, the engineering burial depth and the rock mass volume weight, a quantitative calculation formula of the anchor rod spacing is established, an empirical coefficient is solved in combination with the spacing range of the corresponding surrounding rock grade in the specification, and finally quantitative determination of the anchor rod spacing is achieved. The method overcomes the defect that quantitative basis is lacked in spacing adjustment in existing specifications, and is particularly suitable for anchor rod support design for controlling brittle failure of surrounding rocks under the deep high-stress condition.

The present application relates to the technical field of injury early warning, in particular to a taekwondo athlete injury early warning management method and system, the steps comprising: acquiring the transient chest wall stress wave signals collected by the inner side sensor array of the uniform, the absolute time stamp information of each time of being hit and the baseline systolic pressure data; calculating the time interval of two consecutive times of being hit according to the absolute time stamp information and determining the correction coefficient of the frequency of being hit per unit time; performing time domain square root integral processing on the transient chest wall stress wave signals to obtain residual stress wave characteristic energy values; based on the energy values, the correction coefficient of the frequency and the baseline systolic pressure data, using the tissue fatigue accumulation model to dynamically superimpose and solve to generate the time domain strain cumulative damage factor; comparing and judging it with the preset safety damage threshold in real time; if greater than or equal to the threshold, generating the chest wall occult injury early warning instruction and sending it to the coach terminal for visual early warning. The present application realizes the chest wall occult fatigue damage accumulation quantification and individualized accurate early warning.

The present invention provides a method for testing and evaluating the performance of a pre-embedded bolt sleeve interface of a wind turbine blade, wherein the method comprises: obtaining blade root connection parameters of the pre-embedded bolt sleeve interface to be tested, and calculating the bolt axial force on a single bolt according to the blade root connection parameters; wherein the blade root connection parameters include: blade root fatigue load when R=-1 under 10 million times, number of bolts, blade root axial force, blade root limit load and blade root pitch circle diameter; calculating the static strength safety factor of the pre-embedded bolt sleeve interface according to the bolt axial force; obtaining a blade root fatigue load matrix of the pre-embedded bolt sleeve interface to be tested, and obtaining the corresponding fatigue strength according to the blade root fatigue load matrix; wherein the blade root fatigue load matrix includes: stress amplitude, stress mean and number of cycles; calculating the damage factor of the pre-embedded bolt sleeve interface according to the fatigue strength; and obtaining the test performance of the pre-embedded bolt sleeve interface according to the static strength safety factor and the damage factor of the pre-embedded bolt sleeve interface.

The invention provides a wellhead device fatigue life prediction analysis method, and relates to the technical field of underground engineering, and the method comprises the following steps: collecting load spectrum, material degradation, environmental corrosion and historical maintenance data of a wellhead device, and establishing a four-dimensional damage factor matrix; performing preprocessing and feature fusion on the multi-source data; a self-attention LSTM network is constructed; according to the method, four key factors including a load spectrum, material degradation, environmental corrosion and historical maintenance are brought into a unified analysis framework through the four-dimensional damage factor matrix, the one-sidedness problem of single factor analysis in a traditional method is solved, and the attention weight among multi-source data can be automatically learned through the self-attention LSTM network; according to the method, the capability of extracting multi-physical field parameter correlation characteristics in a complex service environment can be remarkably improved, a fatigue life probability distribution curve is generated in combination with Monte Carlo simulation, a prediction result containing a confidence interval is provided, and a more scientific quantitative basis is provided for equipment maintenance decisions.

Provided herein is a damage prevention and mitigation (DPM) computing device including at least one processor in communication with a memory device. The at least one processor may be configured to identify a plurality of property parameters associated with a property wherein the property parameters are associated with one of a structure and design of the property; receive, via one or more telematics sensors, property telematics data; determine one or more damage factors associated with the property, wherein each damage factor includes an aspect of the property that increases a likelihood of the property incurring some damage; and generate a damage profile for the property based upon the determined damage factors, wherein the damage profile includes at least (a) one or more recommendations to address the damage factors and mitigate the likelihood that the property will incur damage, and (b) an insurance coverage amount for the property.

A method for assessing damage to concrete bridge piers after vehicle impact, comprising: (1) calculating the impact kinetic energy under different impact speed and impact mass combinations; E , strain rate #imgabs0# and section damage factor d k ; (2) Establishing cross-sectional damage factor d k and impact kinetic energy E , the mathematical model between strain rate #imgabs1#; (3) obtain the strain rate #imgabs2#-impact kinetic energy E Damage state evaluation threshold expression; (4) Establish strain rate #imgabs3#-impact kinetic energy E The damage status assessment cloud map determines the damage status of concrete piers. This method not only considers the contribution of vehicle impact kinetic energy to concrete pier damage, but also takes into account the influence of strain rate effects on concrete pier impact damage. This method establishes a method for assessing the degree of damage to concrete piers after vehicle impact. This method truly reflects the degree of damage to concrete piers after vehicle impact, providing a reference for the crash-resistant design of concrete piers and the rapid and accurate assessment of pier structures after vehicle impact.

The invention relates to the technical field of concrete structure engineering, and provides a mass concrete pouring damage cracking prediction and grading evaluation method considering a shrinkage effect, and the method comprises the steps: carrying out the layered modeling in ABAQUS according to a pouring scheme, and simulating the construction through a life-death unit; calculating a temperature field based on the HETVAL subprogram composite index hydration heat release and the FILM subprogram time-varying heat transfer boundary; arrhenius equivalent age coupling ACI 209R-92 shrinkage is introduced through a USDFLD and UEXPAN subprogram, and age evolution of an elastic modulus and a thermal expansion coefficient is realized in combination with a UFIELD subprogram, so that a temperature-shrinkage stress field is obtained; a CDP model is adopted to calculate pulling / pressing damage and output a damage cloud picture, three-level maintenance crack control measures are given according to damage factor partitions, and parameters are checked in combination with field temperature / strain monitoring. According to the scheme, transformation from point discrimination to global identification and hierarchical management and control is realized, the temperature field, the shrinkage effect and the time-varying characteristics of the material are considered, the prediction precision and operability are improved, the crack and leakage risks are reduced, the durability is improved, and the rework cost is reduced.