120 results about "Strain rate" patented technology

The invention provides an impact deformation feature extraction method based on high-speed camera shooting and image processing, and the method comprises the steps: collecting the transient deformation data of the edge package of a remote controller housing under impact through high-speed camera shooting, recording the change speed of a strain rate, obtaining the material characteristics, the size of a package structure, and the geometric discontinuous features of an opening and closing part, generating continuous frame sequence images; performing strain field data quantification processing on the third visualization result, extracting strain field characteristic data, and judging influence weights of stress wave reflection on strain fields of different functional areas of the shell in combination with a falling height and an impact angle of the remote controller; and improving edge packaging design parameters according to the deformation buffer effect and discontinuous quantitative indexes at the opening and closing positions, verifying the improvement amplitude of the deformation buffer effect, and obtaining strain field distribution data of the optimized shell.

The invention belongs to the field of structural engineering, and particularly relates to a concrete compressive strength calculation method considering a strain rate effect and a size effect. The concrete compressive strength formula considering the size effect and the strain rate effect at the same time is deduced from the size effect formula and the strain rate effect formula of the concrete compressive strength. The formula comprises a constant term, a strain rate effect term, a size effect term and an interaction term. The constant item reflects the static strength of the concrete cubic test piece, the strain rate effect item reflects the strength improvement caused by strain rate increase, the size effect item reflects the strength reduction effect caused by test piece size increase, and the interaction item reflects the strain rate effect increase caused by the size increase and the size effect reduction caused by the strain rate increase. And finally, fitting all test data by adopting a multiple regression method to obtain various parameters of the concrete compressive strength. The formula fitting effect is good, the regression residual error is small, and the adaptability of the calculation method is verified.

The invention relates to the technical field of material mechanical property testing, and provides an ultralow-temperature slow strain mechanical tensile test platform which comprises a vacuum Dewar unit, a liquid helium temperature control unit, a slow strain tensile unit, a measuring unit and a control unit, the vacuum Dewar unit comprises a vacuum Dewar body and is used for providing a closed low-temperature test environment; the liquid helium temperature control unit comprises a direct injection module and a recovery module, the direct injection module is used for directly injecting liquid helium to the gauge length section of the sample for cooling, and the recovery module is used for recovering and recycling unevaporated liquid helium; the slow strain stretching unit is used for stretching a sample arranged in the vacuum Dewar body at a low strain rate; the measuring unit is arranged in the vacuum Dewar body and is used for monitoring the temperature, the force value and the strain data of the sample in real time. Liquid helium is used as a cold source, the liquid helium is directly aligned to the gauge length section of the sample through the direct injection module, and compared with a traditional liquid helium steam natural convection heat exchange mode, the heat exchange coefficient is increased, and automatic precise temperature control is achieved.

The invention discloses a material stress-strain constitutive relation modeling method and device, a program product and a medium, and relates to the technical field of metal material constitutive models. Uniaxial tensile experiment data of a metal material under the conditions of different temperatures and different strain rates is obtained and preprocessed, and a training data set reflecting mechanical behaviors of the material under the wide-range working condition can be constructed; constructing an initial neural network model comprising a main body network structure layer, a neuron unit, a connection parameter and a training mechanism based on the training data set, and performing iterative optimization on a hyper-parameter by adopting a Bayesian optimization algorithm to obtain a target neural network model; the nonlinear stress-strain relationship of the material under the conditions of different temperatures and strain rates can be accurately captured; the target neural network model is further converted into a user-defined material subprogram of the finite element analysis platform, and the subprogram can output a predicted material stress value according to the input strain, strain rate and temperature, so that seamless joint with a universal finite element analysis platform is realized, and the prediction precision of simulation is improved.

The invention discloses an engine hood determination method and device and electronic equipment. The method comprises the following steps: acquiring a plurality of first target points on a first engine hood model, and performing head collision simulation on the plurality of first target points to obtain strain rate ranges corresponding to the plurality of first target points respectively; determining a plurality of target strain rates according to the strain rate ranges corresponding to the plurality of first target points; material parameters corresponding to the multiple candidate aluminum alloy materials are determined according to the multiple target strain rates; the first engine hood model is adjusted according to the multiple candidate aluminum alloy materials and the corresponding material parameters with the minimization of the head damage index as the target, a target engine hood model is obtained, and the strain rate sensitivity coefficient of the candidate aluminum alloy materials used by an inner plate in the target engine hood model is a negative value. The technical problem that in the prior art, an engine hood is designed based on the material performance of a single strain rate, and the head injury index is high in pedestrian head collision is solved.

The embodiment of the invention discloses a simulation calculation method and device for a thin shell transient jump behavior, a medium and equipment. The method comprises the steps that a thin shell finite element analysis model is established; performing time sequence simulation analysis on the transient jump behavior of the thin shell, and in each time step, calculating a strain change rate characteristic value spectrum, and obtaining a nonlinear strength index and a local stiffness spectrum radius of each unit; when the non-linear criterion index of the unit is greater than a threshold value and the local stiffness spectrum radius is greater than the threshold value, dividing the unit into an explicit domain unit and improving the calculation precision by adopting a sub-step size control technology, otherwise, dividing the unit into an implicit domain unit; a self-adaptive step length technology is adopted, and the calculation efficiency is improved through large-step-length propulsion; calculating an incremental potential energy function, and judging whether the thin shell is about to enter a deformation bifurcation point or not by adopting a stability criterion; and constructing a deformation tentative displacement vector by adopting the fastest descending direction of the potential energy function, and accurately capturing real physical paths of jumping behaviors under various working conditions.

The invention relates to a metal material strain rate effect measurement method based on multiple stress relaxation, which comprises the following steps: carrying out a standard quasi-static stretching or compression test on a material sample at a constant strain rate to obtain a stress-strain curve; analyzing a strain range according to a stress-strain curve, and determining a stress relaxation frequency N to be developed and a corresponding relaxation strain value sequence epsilon i, i = 1... N; a material sample is taken to be subjected to a tensile or compression test at a set strain rate, stress relaxation lasts for relaxation time delta t when the strain sequentially reaches values in each relaxation strain value sequence, and after each stress relaxation, the tensile or compression test is performed according to the set strain rate; obtaining a stress-plastic strain rate curve corresponding to each relaxation strain epsilon i; and obtaining a stress-strain curve corresponding to each strain rate. Stress-strain curves corresponding to different plastic strain rates in a quasi-static range can be obtained through a single sample.

The application discloses a finite element simulation method suitable for multi-step electromagnetic forming effect evaluation and a related device, relates to the technical field of metal plate electromagnetic incremental forming and finite element simulation, and the method comprises the following steps: constructing an initial constitutive model of a to-be-formed plate based on a first uniaxial tensile test; performing finite element simulation on a multi-step electromagnetic forming process of the to-be-formed plate, and recording stress and strain distribution and strain rate distribution of a deformation area; performing a second uniaxial tensile test at each stage of the multi-step electromagnetic forming process according to the strain rate distribution, and integrating hardening models at all stages into a constitutive model for characterizing material whole-process forming; based on the constitutive model, re-performing multi-step electromagnetic forming finite element simulation, outputting forming effect evaluation parameters at each stage, and adjusting process parameters according to the forming effect evaluation parameters. The application can improve the accuracy of forming effect evaluation.

The invention provides a method for constructing a bearing test distortion model of an ice-resistant structure under the action of a dynamic ice load, and belongs to the field of test similar reduced scale model design under an ice breaking load of the ice-resistant structure. The problem that in the prior art, the strain rate of a fully-similar model is dissimilar due to the scale effect is solved; a traditional distortion model design method has the problem of dissimilar energy distribution. The method comprises the following steps: establishing a fully similar model from an ice-resistant structure prototype to a geometric and plate thickness equal ratio reduced scale; establishing a plate thickness distortion reduced scale model by using the same material on the basis of the geometric similar reduced scale model; preliminarily determining a collision contact position of the thickness distortion reduced scale model; a dynamic ice load similarity criterion is applied, correction factors are deduced through dimensional analysis, and ice body parameters and collision speed of a distortion model system are adjusted, so that the ice breaking capacity and dynamic structure response are similar to those of a prototype system. The device is mainly used in the field of polar region icebreaking.

The invention discloses a thermal deformation control method for hot gas bulging forming of ultrahigh-strength steel. According to the method, the temperatures of a fillet area and a central area of a mold are controlled to be lower than the temperature of a non-deformation supporting area in the axial material supplementing and radial forming stage; bulging is conducted through a dynamic air pressure curve, the strain rate is inversely calculated in real time based on the wall thickness measured through laser, and the strain rate is stabilized within the critical range through closed-loop feedback; meanwhile, the temperature of the pipe blank is monitored in real time through a thermal infrared imager and compared with a target value, and the deviation is controlled within + / -5 DEG C by adjusting a mold temperature control unit; according to the method, the dynamic air pressure curve is introduced and is cooperatively controlled with the strain rate in real time, so that the deformation rate of the material in the whole bulging process is always stabilized in the optimal critical plasticity interval, the deformation capacity of the ultrahigh-strength steel at the high temperature can be fully exerted, the uniformity of wall thickness distribution of a component can be greatly improved, and the deformation rate of the ultrahigh-strength steel at the high temperature can be improved. And local excessive thinning or fracture caused by out-of-control strain rate is avoided.

During material testing, the user can determine whether the shape of the output waveform is appropriate. [Solution] The fatigue testing machine 1 is a fatigue testing machine that performs a fatigue test to measure the mechanical properties of a test piece TP by applying a test force F to the test piece TP, and comprises a hydraulic actuator 18 that applies a test force F to the test piece TP, a generation unit 511 that generates a sinusoidal input waveform W1 that is a target value of the test force F, a detection unit 513 that detects the test force F applied by the hydraulic actuator 18 to the test piece TP, and a calculation unit 514 that calculates the strain rate HD of the output waveform W2 that is the detection result of the detection unit 513 while the fatigue test is being performed.

Method for monitoring the structural health of a nickel-based superalloy part, comprising the steps of: estimating (S101) a local strain distribution ε, temperature T, and strain rate within the part; estimating (S102) a local dislocation density ρ within the part based on the local strain distribution ε, temperature T, and strain rate; and determining (S103) the local presence of a structural anomaly when the local dislocation density ρ is outside a predetermined range of values. Fig. 1.

The present application relates to the technical field of material dynamic mechanical property testing, and discloses a self-adaptive Hopkinson bar experimental parameter real-time regulation method and system, which comprises the following steps: obtaining incident wave signals, reflected wave signals and transmitted wave signals; denoising the incident wave signals to obtain denoised waveforms; loading the denoised waveforms into a finite element model to perform transient dynamics calculation to obtain a simulated response set, and combining a dispersion equation model analysis to obtain a geometric dispersion delay spectrum; reconstructing a simulated distorted waveform from the geometric dispersion delay spectrum and calculating a constitutive matrix; loading the constitutive matrix into the finite element model to obtain a time-domain response sequence, combining a regression model prediction to obtain a comprehensive distortion prediction, and predicting a preliminary compensation amount through a neural network model; calculating an initial strain rate, correcting the preliminary compensation amount to obtain a corrected compensation amount, using the corrected compensation amount to perform distortion compensation, calculating a feedback strain rate, combining a constant strain rate to verify a strain rate deviation, and realizing a constant sample strain rate. The present method can realize constant sample strain rate.

A method for steady-state control of cutting state, implemented based on computer numerical control (CNC) machine tools or cutting lathes. The method comprises: fitting parameters of a stored energy evolution model of a workpiece material to be machined; discretizing primary shear zone into multiple infinitesimals along normal direction of main shear plane; introducing equivalent cutting edge model, inputting pre-used cutting parameters, calculating strain and strain rate of each infinitesimal and analyzing temperature of each infinitesimal; deducing and solving differential equation of each infinitesimal of stored energy to position of the primary shear zone by taking initial shear plane of the primary shear zone as model boundary; determining application values of cutting parameters according to solved results; and, controlling and adjusting the cutting tool in the actual cutting process to cut the workpiece material to be machined with the application values.

The invention relates to a metal material fire-strain rate whole-process coupling dynamic mechanical property testing device which comprises a high-speed testing machine, a heating system and a whole-field strain monitoring module, and the whole-field strain monitoring module comprises a camera system and a control system. The upper clamp and the lower clamp are respectively provided with a vertical clamping face and a bar groove, universal clamping of plates and bars can be achieved respectively, operation is simple, and burdens of operators are reduced. The dynamic stretching of the metal material can be realized, the dynamic compression of the metal material can also be realized, and the application range of the test device is widened. A DIC system is adopted, full-field strain monitoring under the high temperature-strain rate full-process coupling condition is accurately achieved through the three-dimensional DIC digital image testing technology, and the problems that a traditional high-temperature extensometer is tedious in use and operation, inaccurate in testing and the like are solved. The heating furnace and the heating assembly and the temperature control assembly of the heating furnace can effectively achieve real-time temperature change in the heating furnace, and fire scene simulation of the whole heating-cooling-cooling process of metal materials is achieved.

The application relates to a high-temperature alloy cross-piercing process interlayer defect prediction method and model, and particularly relates to a high-temperature alloy cross-piercing process interlayer defect prediction method and model, which comprises the following steps: establishing a high-temperature alloy cross-piercing finite element model, and performing high-temperature alloy cross-piercing finite element simulation; extracting all data of equivalent strain, temperature, strain rate, maximum shear strain, stress triaxiality, maximum shear stress, equivalent stress and maximum shear strain at the moment of deformation termination in the whole deformation process; calculating integral to determine damage value, average temperature and average strain rate; and performing high-temperature alloy compression-shear deformation experiments under the average temperature and average strain rate determined in the previous step. The application can predict engineering fracture problems in an actual deformation process through simple compression-shear hot simulation deformation experiments and finite element simulation technology, reduces the trial-and-error process in the actual production process, and saves manpower, material resources and financial resources.

Provided is a technique that can contribute to suppressing the amount of data required for formulating the strain rate dependence of the yield point and facilitating the desired analysis to be easily performed. 【Solution means】In a molded body formed by molding a metal material to be analyzed, a strength test is performed in which a load is applied and deformed at three different load rates, so that the strain rate ε when deformed · 1, ε · 2, ε · 3 and the yield point σ y,1 , σ y,2 , σ y,3 are measured. Then, in the relational expression of the strain rate ε dependence of the yield point σ of the metal material formulated using three material parameters A, B, and C based on the thermoactivation process theory, (σ y ε · ) = (σ y, ε · ) = (σ y,1 , ε · 1)(σ y,2 , ε · 2)(σ y,3 , ε · 3) is assumed to hold, and the three material parameters A, B, and C are derived by calculating the simultaneous equations of the three material parameters A, B, and C.

This invention relates to the field of structural engineering testing and discloses a method for the coordinated acquisition and fusion of deflection and strain in static load tests of structural components. The method includes: monitoring local strain physical quantities and calculating real-time strain rate; identifying the strain mutation initiation signal when the strain rate exceeds a threshold; retrieving the relative physical span between sensing nodes and the intrinsic stress wave velocity of the material; calculating the physical lag time; sending a hardware interrupt pulse carrying a time delay parameter to the deflection sensing node; driving the hardware circuit to activate a timing response matching the physical lag time; and capturing the macroscopic deflection physical quantity at the end of the timing. This invention eliminates the perception phase misalignment caused by spatial span by constructing a hardware sampling alignment mechanism driven by physical causality, ensuring that the acquired data conforms to the structural mechanics constitutive relationship, and improving the system's accuracy in identifying structural damage evolution characteristics.

The present application relates to a kind of enhanced prediction methods for inverse pressure multi-wall surface large separation flow field, belong to computational fluid dynamics technical field;Method steps include: the equivalent wall distance expression reflecting the coupling dissipation effect of multi-wall surface is constructed;Strain rate is revised turbulent generation term;The revision of equivalent wall distance and generation term strain rate of all grid points of Spalart-Allmaras turbulence model is completed;Global optimization is carried out to model parameter set and boundary parameter set using average ensemble Kalman filter;The generation term and dissipation term related to wall in standard Spalart-Allmaras turbulence model are revised by equivalent wall distance, and then the generation term related to strain rate is revised, to obtain revised Spalart-Allmaras turbulence model;Optimized parameters are substituted into the control equation of revised Spalart-Allmaras turbulence model to carry out three-dimensional flow field numerical prediction.The present application effectively reduces the prediction deviation of corner separation flow field, significantly improves the precision and robustness of inverse pressure multi-wall surface large separation flow field prediction, and shows good engineering application prospect.

The invention relates to the technical field of fiber metal hybrid component forming performance analysis, and discloses a thermoplastic fiber metal part hot stamping performance prediction and structure design method. Comprising the following steps: carrying out mechanical property tests and high-temperature viscous superelasticity modeling and model verification on the fiber-reinforced thermoplastic resin composite material at different forming temperatures and strain rates, carrying out mechanical property tests and high-temperature modeling and model verification on the metal material at different forming temperatures and strain rates, and carrying out high-temperature viscous superelasticity modeling and model verification on the metal material at different forming temperatures and strain rates. A hybrid component homogeneous / dissimilar material interlayer high-temperature slippage test is carried out, a friction model is established, a hybrid component hot stamping forming finite element model is established, and a material high-temperature constitutive model is applied to simulate deformation behaviors and forming defect formation of materials in the stamping process. According to the method, the forming-cooling-springback full-process simulation model of the fiber metal hybrid component is established, the simulation precision can be improved, and the method is suitable for a hot stamping one-step rapid forming process.

The application provides a foundation pit deformation monitoring method and system, which comprises the following steps: acquiring a three-dimensional coordinate time series of GNSS monitoring points around a foundation pit, calculating a three-dimensional velocity field, estimating a velocity gradient tensor, extracting a principal strain rate based on a symmetric strain rate component of the velocity gradient tensor, establishing a nonlinear mapping of the principal strain rate and a neighborhood search influence factor, adjusting a density clustering core point discrimination condition, generating multiple candidate regional division schemes, constructing a joint penalty function containing a residual velocity discontinuity norm and a model complexity penalty term, selecting an optimal regional division scheme, combining observation errors and model prediction residuals, and calculating local translation parameters and rotation parameters of each region by using an iterative reweighted least squares method, and then performing topological optimization according to the differences between the motion parameters of the regions, merging adjacent regions that meet the motion consistency condition, and reattributing boundary monitoring points until the regional division is stable, and finally outputting a foundation pit deformation field model.

The invention provides a fracture blocking rate inversion method based on GNSS earth crust deformation observation and elastic dislocation theory constraint, and the method comprises the steps: constructing a fracture three-dimensional model and an elastic dislocation constraint model, and calculating a fracture blocking rate. Through multi-period result comparison, strain field verification and earthquake activity verification, a high-risk region of pregnancy and earthquake can be identified. According to the method, the GNSS earth crust deformation observation elastic dislocation theory is adopted to constrain the negative dislocation model, and the precision and stability of fracture blocking rate inversion are remarkably improved. According to the invention, multiple periods of GNSS data are integrated to realize dynamic inversion, and the evolution trend of the locking state can be captured. According to the method, secondary blocks are finely divided, strain rate field constraints are introduced, locking distribution of a local strain enhancement area is accurately identified, the reliability of judgment of a large earthquake risk area is improved, a fracture high-locking-rate area is defined, through theoretical constraint and multi-source data fusion, the fracture locking rate inversion precision and the dynamic capture capability are improved, and the method is suitable for large-scale popularization and application. And reliable technical support is provided for earthquake risk assessment.

A hard hat including an outer shell, a linear impact absorbing material, and a rotational impact absorbing material is constructed of materials designed to provide protection to a wearer in extreme environmental conditions and under impact. In one embodiment, the rotational impact absorbing material is formed from a strain rate sensitive material in which the rigidity of the material increases under an impact.

The invention relates to the technical field of safe blasting, in particular to a safe blasting method for a saturated zone deep rock stratum under a low-temperature condition, which comprises the following steps of: performing a rock mechanical property test on the saturated zone deep rock stratum under a low-temperature environment to obtain main mechanical parameters of rock density, wave velocity, porosity and Young modulus under different temperature conditions; based on test data, a dynamic constitutive model of the saturated zone low-temperature rock under the impact load effect is established, and the strain rate and the low-temperature effect are considered; according to the dynamic constitutive model, blasting parameters are optimized, and the blasting parameters comprise the explosive type, the explosive loading amount, the blast hole arrangement and the delay time; the method has the beneficial effects that the static and dynamic mechanical characteristics of the saturated zone low-temperature rock under different temperature and strain rate conditions are deeply revealed, the dynamic constitutive model is established, and a scientific basis is provided for cold region engineering design and blasting parameter optimization. An engineer can more accurately predict and control the rock breaking behavior in the blasting process, and the blasting efficiency and safety are improved.

The application belongs to the technical field of material modeling and simulation, and discloses a method and device for identifying J-C constitutive parameters of manganese aluminum bronze, which comprises the following steps: obtaining the real stress-strain curve of the material through a quasi-static compression experiment, and performing a thermal-mechanical coupling compression experiment under different temperature and strain rate conditions, extracting the stress-strain response under the corresponding state, and estimating the initial parameter set of the model; then constructing stress-strain response verification data through the thermal-mechanical coupling compression experiment; constructing a parameter optimization space based on the initial parameter set, and performing iterative optimization based on the fusion optimization algorithm of the genetic algorithm, the grey wolf algorithm and the particle swarm algorithm; the fitness function is weighted based on variable weights on the basis of the average relative error of the experimental data curve and the fitted data curve, wherein the variable weight is determined according to the fitting deviation at the yield point and the plastic section. The J-C constitutive model obtained by the application can accurately simulate the mechanical behavior of manganese aluminum bronze.

The application discloses a method for converting strain rate by using an environmental fatigue correction factor, and the method is based on the peak stress and the valley stress of transient combination in fatigue calculation, and the average strain rate and the strain range are calculated, and the environmental fatigue correction factor under each combination is obtained by weighting. The method can consider the influence of the stress history of the structure on the environmental fatigue correction factor by considering the peak value and the valley value in the stress change history, and the influence of the transient stress fluctuation can be simplified and enveloped by the average effect of the peak value and the valley value stress, so that the method is suitable for a wide range of applications.

The invention relates to a parachute canopy fabric numerical simulation method and a computer readable storage medium. The method comprises the steps that material parameters and historical states are initialized and read; updating an accumulated total strain tensor based on the strain increment and calculating a strain rate tensor; the principal direction modulus is evolved according to the accumulated total strain tensor, the material stiffness matrix is updated, and then the pure elastic stress increment is calculated; viscous damping stress is calculated in combination with the strain rate and the stiffness matrix, and a trial stress tensor is obtained after superposition and historical stress; performing wrinkle correction on the trial stress according to the strain state in the main direction, eliminating the stress in the compression direction and reducing the corresponding shear stress; calculating a dynamic strength threshold value by adopting a logarithmic strengthening model based on the strain rate and judging failure; and finally storing the updated state and outputting the stress tensor. A computer program is stored on the readable storage medium, the method can be implemented when the program is executed, and high-fidelity numerical simulation of the mechanical behavior of the canopy fabric is achieved.

The application discloses a simulation method for improving plasticity of amorphous alloy under compression, which comprises the following steps: constructing an initial model of amorphous CoMn alloy; cooling to 300K at cooling rates of 10 10 , 10 11 , 10 12 and 10 13 K / s respectively under zero pressure to obtain four amorphous models; periodically replicating and extending the four amorphous models along the X axis by four times to obtain four compression models; setting the compression models as periodic boundary conditions in the X and Y directions and as free boundary in the Z direction; uniaxially compressing the four compression models along the X direction at a strain rate of 1x10 8 s ‑1 to obtain thermodynamic information; and analyzing the influence of nanocluster structure evolution formed by atomic condensation on the mechanical properties of the amorphous alloy. The application solves technical problems that atomic scale microstructure deformation process in a deformation process of MGs is difficult to obtain in experiments, simulates a formation process of a shear band of amorphous material and a microstructure mechanism and the like.

The invention relates to the technical field of workpiece rolling, in particular to a rolling method for a large-size titanium alloy workpiece with a low strain rate. According to the method, for a real-time rolling section, the temperature stress risk degree under each rolling pass is obtained according to the difference of temperature data between different positions under each rolling pass and the rolling speed; according to the change trend of the rolling pressure and the rolling speed under different rolling passes and the temperature stress risk degree distribution, the pressure adjustment feasibility of the real-time rolling section is obtained; the local stress extensibility of each rolling pass of the real-time rolling section is obtained according to the workpiece thickness variable quantity corresponding to each position in different rolling section ranges under each rolling pass of the real-time rolling section; and then the rolling pressure adjusting coefficient of the real-time rolling section is obtained. According to the method, appropriate rolling pressure in the workpiece rolling process is obtained, low-strain-rate rolling is ensured, and the workpiece rolling effect is improved.

To provide a surface crack prediction method capable of predicting a surface crack of a steel strip after rolling.SOLUTION: A surface crack prediction method for predicting a surface crack of a steel strip manufactured by performing a furnace heating process and a rolling process on a slab cast by continuous casting, the method comprising: creating a surface crack database in which surface crack data indicating presence or absence of a surface crack for a steel strip manufactured in the past is recorded with respect to manufacturing condition sections obtained by dividing each of a component content of the slab, a heating temperature in the furnace heating process, and a strain rate in the rolling process into a plurality of sections; A surface crack of a steel strip to be manufactured is predicted by using a Cu content as a component content of a steel piece, specifying a manufacturing condition section including the component content, a heating temperature in a furnace heating process, and a strain rate in a rolling process for the steel strip to be manufactured, and referring to surface crack data recorded in the specified manufacturing condition section in a surface crack database.SELECTED DRAWING: Figure 3