117 results about "Thermal analysis" patented technology

The invention provides a boiler combustion state visualization method, which comprises the steps of embedding a plurality of thermocouple temperature sensors in gaps of refractory bricks on the inner wall of a boiler hearth, acquiring temperature data of the hearth at different depths in real time, and transmitting the temperature data to a data acquisition terminal through a wireless communication module; fitting the normalized temperature data matrix by adopting a three-dimensional thin-plate spline interpolation algorithm to generate a hearth three-dimensional real-time temperature distribution model, performing mesh generation on the three-dimensional temperature distribution model by combining hearth geometric structure parameters obtained from computer aided design software, and constructing a hearth temperature finite element model; the hearth temperature finite element model is imported into ANSYS finite element analysis software, hearth wall surface material attributes and combustion heat load boundary condition parameters are set, transient thermal analysis of a hearth temperature field is carried out, and a temperature estimation value of any position of the hearth changing along with time is obtained.

The invention relates to the technical field of metal smelting, in particular to a multi-gun top-blowing continuous blowing intelligent system and method. The system comprises a data acquisition module, an analysis processing module and a prediction feedback module. The method comprises the steps that the temperature, the liquid level and the material state in the furnace are monitored in real time and transmitted to the central data processing platform in real time for intelligent feedback control; dimensionality reduction is conducted on sensing data in the smelting process, the least principal components with the contribution rate exceeding 80% are extracted, and dimensionality reduction processing is achieved; carrying out thermal analysis by utilizing a material and energy balance equation, constructing a theoretical model of the blowing process, capturing a long-term dependency relationship, and predicting dynamic parameter change in the smelting process; and an interaction model of the intelligent agent and the smelting environment is constructed, a control strategy is updated in real time, and production parameters are adaptively adjusted. The problem of low-altitude pollution caused by converter blowing is solved, the defect of low efficiency of intermittent operation of current smelting is overcome, and a continuous and stable production process is realized.

A probe card MLO pad point position contraction design simulation method is characterized by comprising the following steps that 1, a temperature field simulation model is established, and a temperature simulation result file is obtained and comprises the steps that 1.1, temperature data are actually measured; step 1.2, establishing a temperature field simulation model by adopting a finite element analysis method, modeling an air fluid part in the cavity into a solid air medium by using a steady-state thermal analysis module, and endowing the solid air with a heat transfer coefficient; calibrating heat transfer coefficients in the temperature field simulation model: a heat transfer coefficient A, a heat transfer coefficient B and a heat transfer coefficient C; 1.3, correcting and iterating the heat transfer coefficient A, the heat transfer coefficient B and the heat transfer coefficient C; 1.4, obtaining a temperature field simulation result file of the probe card at the specified high-temperature loading temperature; 2, establishing a physical field simulation model, and obtaining a simulation pad displacement result; and step 3, calculating to obtain a new pad point position coordinate for iterative production.

The invention discloses a thermal analysis method of a heterogeneous material combined component considering multi-scale contact thermal resistance, and belongs to the technical field of aero-engine thermal management. The method comprises the following steps: firstly, establishing a period calculation model of a CMC outer ring and metal casing combined member, secondly, setting anisotropy of CMC heat conduction according to geometric profile change of a gas outer ring, and finally, introducing an empirical relation expression of contact thermal resistance by setting equivalent heat conduction of a contact area between the CMC outer ring and the metal casing in CFD calculation. The difference between the two is explored by comparing the temperature field results of the combined component with or without the contact thermal resistance, and the influence of the contact thermal resistance on flowing heat exchange is explored. According to the method, by considering the multi-scale contact thermal resistance between different materials, the influence of the contact thermal resistance on the turbine flow heat exchange result is researched, meanwhile, the temperature field of the turbine component in CFD calculation is corrected, and a guidance basis is provided for improving the prediction precision of the temperature result of the gas turbine component under the complex gas thermal load.

The invention relates to the field of heating characteristics of samples, and particularly provides a macro sample temperature jump type in-situ thermal analysis system and a macro sample temperature jump type in-situ thermal analysis method. The system is characterized in that a driving unit is arranged on a guide rail and is suitable for doing vertical movement along the guide rail; the guide rail is perpendicular to the ground; the tubular electric heating reaction unit is connected with the driving unit, and after the tubular electric heating reaction unit is heated to a target temperature, the driving unit drives the tubular electric heating reaction unit to move to the periphery of the sample placing unit, so that a macro sample in the sample placing unit is instantly heated; the accuracy of analyzing the thermogravimetry of macroscopic samples and the precipitation characteristics of volatile matters in simulated industrial application can be improved; the balance measuring unit is connected above the sample placing unit, and the initial position of the tubular electric heating reaction unit is located at the lower end of the guide rail, so that the sample placing unit and the balance measuring unit are kept stable in the process of placing a macroscopic sample into the sample placing unit, and the weighing error during sample weighing and sample reaction is reduced.

The application provides a MEMS differential thermal analysis sensor and a DTA / DSC testing method, the sensor comprising a detection thermocouple, a reference thermocouple, an ambient resistance and a shielding ring, wherein the detection thermocouple and the reference thermocouple each comprise a single crystal silicon substrate, a heat insulation cavity, a plurality of single crystal silicon thermocouple pairs and a supporting film, the heat insulation cavity is located in the single crystal silicon substrate, the plurality of single crystal silicon thermocouple pairs are connected in series and are supported by the supporting film to be suspended above the heat insulation cavity to achieve thermal isolation, and the single crystal silicon thermocouple pair comprises an N-type single crystal silicon thermocouple and a P-type single crystal silicon thermocouple connected in series, the temperature and power sensitivity of the sensor are significantly improved, reach 28 mV / K and 100 V / W, and the noise equivalent temperature difference and the noise equivalent power reach 0.5 mK or 0.2 muW. Based on the output signal of the sensor, differential thermal analysis testing and differential scanning calorimetry testing on physical or chemical processes of material heat absorption and release can be realized, the sample consumption is small, and the testing precision is high.

The invention provides a ceramic glue discharging and sintering integrated process and a ceramic high-temperature deformation and thermal weight loss synchronous analysis method, and the process provided by the invention has the following advantages: 1) through integration of glue discharging and sintering processes, the production efficiency is improved; 2) the production cost is reduced; 3) thermal behaviors of the ceramic sample in different stages can be better understood through accurate quality and size change data monitoring, so that the process control is optimized, and the ceramic quality is improved; and (4) large-size sample application is supported: the system breaks through the limitation of traditional differential thermal analysis (DTA) in large-size sample testing, so that the glue discharging and sintering processes of large-size ceramic samples can be accurately controlled, and the requirements on large samples in industrial production are met.

The invention relates to the technical field of slag filling materials, in particular to a method for analyzing the influence of the addition amount of fly ash on the early strength of a sulphoaluminate-based grouting material and the fly ash-sulphoaluminate cement grouting material. The method comprises the following steps: detecting particle size distribution parameters of fly ash and sulphoaluminate cement; grouting liquid with different proportions is prepared and cured to form a filling body; carrying out uniaxial compression resistance test, XRD phase test, TG thermal analysis, SEM test and MIP pore test on the prepared filling body; according to the method, the strength development, hydration product formation and microstructure evolution of the grouting material under different conditions are comprehensively analyzed, the change of the hydration strength can be effectively controlled by controlling the content of the fly ash, and the strength damage phenomenon caused by high-content fly ash is avoided; the mechanical property and the stability of the filling body are improved, and the safety and the durability of engineering are ensured.

The invention provides a cyclotron electrostatic deflection plate beam loss heat source reconstruction method, and relates to the technical field of particle accelerator thermal analysis and multi-physics field coupling calculation, and the method comprises the steps: 1, configuring beam dynamics simulation parameters, multi-particle tracking is carried out under a three-dimensional field graph containing a central area electromagnetic field, a harmonic coil magnetic field and an electrostatic deflection electric field, and a particle loss list is generated; step 2, transferring the particle loss list into a beam source file of a Monte Carlo radiation transport program, configuring Monte Carlo parameters including a deflection plate material, a boundary, a particle type and an energy spectrum, executing particle transport simulation, and obtaining a three-dimensional energy deposition matrix on an electrostatic deflection plate element; according to the method, high-resolution heat source reconstruction is realized, the peak temperature rise calculation error of the deflection plate can be reduced, a temperature field solving result can be fed back to optimize the particle source, and a reliable basis is provided for thermal structure design and cooling optimization of the electrostatic deflection plate.

A system for the simultaneous thermal analysis of a plurality of single samples of, in particular biological, material by means of differential scanning calorimetry, with at least one sample carrier having several sample vessels, wherein a single sensor for measuring an amount of heat emitted or absorbed by the single sample during the thermal analysis is assigned to each sample vessel; a heating and / or cooling unit for the simultaneous temperature application of the single samples included in the sample vessels, with a receptacle for the at least one sample carrier; a measuring instrument, which is connected to the single sensors and which is formed to simultaneously capture a measuring value for the emitted or absorbed amount of heat of the single samples during the thermal analysis, a sample carrier, in particular for use in this system as well as a method for the simultaneous analysis of a plurality of single samples or groups of single samples by means of differential scanning calorimetry.

This invention provides a method and system for inspecting and detecting cracks on the surface of radiation-shielding concrete walls. The method includes establishing a three-dimensional finite element model of the wall, inputting real historical temperature data for transient thermal analysis and thermal-structural coupling analysis, identifying areas with maximum principal tensile stress or temperature gradients exceeding thresholds as high-risk areas, assigning high weights to the meshes of high-risk areas, and planning inspection paths; a mobile inspection platform automatically acquires images along the path, synchronously recording and storing the three-dimensional spatial coordinates of each image through a high-precision positioning module; inputting the images into a deep learning instance segmentation network to obtain a crack segmentation mask, extracting the skeleton based on the mask to calculate the crack length and width, and converting the pixel size to physical size by combining camera intrinsic parameters and shooting distance to generate a crack list. This invention achieves risk prediction, accurate data acquisition, and quantitative measurement of radiation-shielding walls, significantly improving inspection efficiency and detection accuracy.

The invention discloses a thermal performance analysis method for a protective layer of a lunar base and a protective layer structure. The method comprises the following steps: establishing a thermal balance equation including solar radiation, lunar internal heat, non-blackbody radiation and lunar albedo radiation; performing thermal analysis based on a heat transfer theory basic theory equation and a heat balance equation to obtain a thermodynamic micro-equation of the lunar surface and the protective layer; solving the obtained thermodynamic micro-equation to obtain temperature field distribution; determining the relationship between the lunar soil protective layer thickness and temperature fluctuation based on finite element analysis; and determining the thickness of the lunar soil protective layer based on the relationship between the thickness of the lunar soil protective layer and temperature fluctuation, and constructing the protective layer based on the determined thickness of the lunar soil protective layer. By adopting the method and the protective layer, the protective capability of the protective layer structure is improved.

A thermal profiler includes a plate having a proximal end, and distal end, and a thickness and including a low thermal conductivity material and further including a plurality of elongated through holes configured for air to pass therethrough, the plate configured to be positioned in a horizontal orientation above heating elements of a heat processing system having a longitudinal conveyor system, and a plurality of thermal sensors positioned on the plate.

This invention discloses a method for testing the crosslinking degree of hard carbon precursors and a method for predicting the capacity of hard carbon, belonging to the technical field of performance evaluation of battery anode materials. The method includes the following steps: preparing a control sample and a test sample of the precursor; collecting infrared spectral data of the control sample and the test sample under the same conditions; extracting the peak area of ​​characteristic functional groups in the infrared spectral curves using peak fitting; calculating the crosslinking degree of the hard carbon precursor according to a formula; verifying the accuracy of the detection method using conventional dynamic mechanical thermodynamic analysis; and establishing a mathematical relationship between the crosslinking degree of the precursor sample and the specific capacity of the derived hard carbon. This allows for the measurement of the crosslinking degree of the precursor sample and the prediction of the sodium storage capacity of the hard carbon anode material. Compared with existing technologies, this invention has stronger universality, simpler operation, quantitative analysis, and better data stability, making it an advanced detection technology for hard carbon anode materials.

The utility model provides a thermal analysis system, the purpose of which is to solve the technical problems of excessive steam consumption and energy waste. The thermal analysis system includes: a plurality of thermal analysis kettles, all of which are arranged side by side, the top of the thermal analysis kettle has a steam port, the side has a feed port and a discharge port, all of which are connected in series through the feed port and the discharge port to supply the flow of materials; a steam generator, which has a steam output port; wherein the top of the thermal analysis kettle at the end of the material flow has two steam ports, one of which is connected to the steam output port of the steam generator, and the other is connected to the steam ports on the top of all other thermal analysis kettles, and the flow direction of the steam in all thermal analysis kettles is opposite to the flow direction of the materials between all thermal analysis kettles. By introducing the steam in the terminal thermal analysis kettle into other thermal analysis kettles, the heat in the steam is recycled, the amount of steam generated by the steam generator is reduced, and the working energy consumption of the steam generator is reduced.

The present application relates to a kind of thermal analysis and material characterization technical field, it is a kind of material pyrolysis behavior simulation method, device, electronic equipment and storage medium based on chemical and element composition, including input target sample's basic data to composition-parameter mapping model, obtain the predicted parameter of each thermal decomposition stage, wherein composition-parameter mapping model is obtained using multiple samples for deep learning;Using the predicted parameter of each thermal decomposition stage generates the simulated thermogravimetric curve of target sample quality with temperature or time change, and numerical differentiation is carried out to simulated thermogravimetric curve, obtains simulated differential thermogravimetric curve.The present application can simulate to obtain thermogravimetric curve and differential thermogravimetric curve according to chemical composition, element composition and thermogravimetric experiment condition without real thermogravimetric experiment, break the original thermogravimetric curve for the limitation of obtaining dependence on thermogravimetric experiment, eliminate the cost and time required for thermogravimetric experiment, reduce the cost of thermogravimetric curve acquisition, improve acquisition efficiency.

The invention relates to the technical field of chemical research sample tables, and discloses a thermal desorption chamber and a sample table of a plasma chemical research system.The thermal desorption chamber comprises four supporting legs and a table board, the table board is fixedly installed at the tops of the four supporting legs, and an extension mechanism is arranged on the side face of the table board; a height adjusting mechanism is arranged at the bottom of the table plate; the extension mechanism comprises display boards, grooves, positioning grooves, positioning columns, limiting frames, sliding blocks, connecting rods, compression springs and movable rods, the two display boards are connected to the right side and the rear side of the table board through hinges, the two grooves are formed in the right side and the rear side of the table board respectively, and the two pairs of positioning grooves are formed in the inner walls of the two grooves respectively. Through cooperative use of the extension mechanism, the area of the table board can be increased, the expanded table top space can effectively distribute and arrange experimental equipment, samples and tools, and the table top space is increased according to actual needs to adapt to experimental research requirements of different scales.

The present application relates to the technical field of metal smelting, and particularly relates to a multi-gun top blowing continuous blowing intelligent system and method. The system comprises a data acquisition module, an analysis processing module and a prediction feedback module; the method comprises real-time monitoring of the temperature, liquid level and material state in the furnace, and real-time transmission to a central data processing platform for intelligent feedback control; dimension reduction is performed on the sensing data in the smelting process, and the least principal component with a contribution rate of more than 80% is extracted to realize dimension reduction processing; thermal analysis is performed using material and energy balance equations to construct a theoretical model of the blowing process, capture long-term dependence relationships and predict dynamic parameter changes in the smelting process; an interactive model of the intelligent agent and the smelting environment is constructed to update the control strategy in real time and adaptively adjust the production parameters. The present application improves the low-altitude pollution problem caused by converter blowing, overcomes the low efficiency of current intermittent smelting, and realizes a continuous and stable production process.

The application provides an electrothermal analysis method and system for a phase change memory, comprising: proportionally dividing a phase change layer of the phase change memory into a plurality of sub-regions with the same volume; determining a doping proportion of the doping material, and calculating the number of sub-regions occupied by the doping material according to the doping proportion; randomly selecting a corresponding number of sub-regions to fill the doping material according to the calculated number of sub-regions, and filling the remaining sub-regions with a phase change material; determining electrothermal parameters of the doping material, the phase change material, an upper electrode, a lower electrode and an insulating and heat-insulating layer; determining boundary conditions and current parameters of the phase change memory; the boundary conditions are thermal boundary conditions, and the current parameters are RESET / SET current pulses; and combining the above-mentioned electrothermal parameters, current parameters and boundary conditions to perform thermal simulation analysis on the phase change memory, so as to determine the temperature field distribution inside the phase change memory after the phase change memory receives the RESET / SET current pulses, and further analyze the phase change region inside the phase change memory and the RESET / SET power consumption.

The application relates to the technical field of composite material analysis, and discloses an online thermal analysis method and system for composite materials and a storage medium, which comprises multi-physical field coupling modeling, a thermal response coupling model containing solid-gas phase interaction is constructed, a correlation relationship between parameters and temperature and decomposition reaction progress is established, spatial discretization is carried out by using the Galerkin method, a thermal response differential equation set is solved by using an implicit or explicit time stepping algorithm, temperature field distribution, mass loss and carbon layer formation data are obtained, the carbon layer formation standard is that the mass fraction of a matrix is reduced by 20%, the carbon layer thickness is calculated by mass loss, a mechanical property parameter model is established, and the residual strength after a fire is calculated, and a temperature-time curve, residual strength distribution and parameter sensitivity analysis report can be visually displayed on an online platform. The application realizes full-process analysis from thermal response simulation to residual strength evaluation, improves prediction accuracy, and reduces the application threshold.

The present invention discloses an application method of an assembled steel-concrete composite structure based on BIM technology. The present invention relates to the field of BIM construction technology and solves the problems of low construction efficiency and high cost. The BIM building three-dimensional digital modeling adopts a force characteristic finite element analysis algorithm, a building vibration response prediction analysis mechanism and a concrete temperature rise calculation algorithm to perform force, vibration and thermal analysis on the assembled steel-concrete composite structure to realize the construction of a building structure analysis model. The Internet of Things system transmits information and works in coordination through a data sensing processing module, a communication module, a database module and a BIM system module to realize full life cycle management. The construction plan includes a foundation treatment module, a steel structure manufacturing module, a concrete pouring module and a standardized component manufacturing module. The present invention greatly promotes the efficiency of assembled buildings. At the same time, the construction environment is less polluted, the construction process is economical and fast, and it is conducive to energy conservation and environmental protection.

The present application relates to a kind of two-color infrared temperature calibration methods for space station containerless material experiment, obtain the temperature variation of space station containerless material experiment.Heating temperature-time curve of sample measured under the preset certain two-color infrared slope, then mark the characteristic temperature on temperature-time curve, according to the single-color radiant intensity ratio invariable relationship, two-color infrared slope, characteristic temperature and the phase transition temperature obtained by phase diagram or thermal analysis experiment are substituted into the established equation relationship.The correction value of two-color infrared slope is solved, the correction value is substituted back into the equation relationship, and all the temperature data obtained are substituted into one by one, and the corresponding calibration temperature is solved.So far, the corrected two-color infrared slope and the calibrated temperature-time curve are obtained.The method proposed in the present application does not need to rely on thermocouple, and does not need to construct model in advance under the same environment and fit parameters, and the calibrated two-color infrared temperature can be controlled within a smaller error range at the characteristic temperature.

The invention discloses a material for photon amplification-photothermal analysis of cat1, floR and cmlA and application of the material. A sample is irradiated by a coaxial reflection LED light source outside 808nm, a photoresponsive agent Bi2MoO6 (at) NiS is driven by photons to provide photoelectrons and heat for LAMP, a target gene is used as a template to initiate an amplification reaction, a large number of double-chain structure DNA photon amplification products are obtained, Bi2MoO6 (at) NiS is modified by a nucleic acid chain to obtain a signal probe, a detection area of photothermal analysis test paper captures the amplification products and the signal probe in a sandwich form, and the detection area of the photothermal analysis test paper captures the amplification products and the signal probe. A photo-thermal temperature change signal in positive correlation with the content of a photon amplification product is given, and cat1, floR and cmlA in the sample are detected according to the temperature change signal. Photoelectron and photothermal effects are generated by using the photoinduced activity of the photoresponse agent Bi2MoO6 at NiS, the temperature is rapidly controlled, the Bi2MoO6 at NiS is in direct contact with an amplification system on a molecular level, photothermal analysis test paper detection is carried out, and the photothermal rate is remarkably improved.

The invention relates to a composite material fused deposition modeling process simulation method based on an interlayer variable path strategy, and the method comprises the following steps: carrying out APDL parameterized language programming according to ANSYS finite element software, and building a finite element model module; adding corresponding attributes including specific heat capacity, thermal conductivity, density, elasticity modulus and the like according to composition materials in the composite material; grid division is conducted on a forming part module, variable-layer-height grid division is conducted on the module according to the proportion of composition materials in the composite material, and the forming process of the composite material is simulated; performing birth and death unit processing on a formed part, activating different interlayer units according to a selection sequence and a formulated printing path in a control unit numbering manner, and simulating an interlayer variable-path forming process; the temperature field obtained after transient thermal analysis serves as a thermal load to be imported into a structure field to be solved, and a temperature field cloud picture, a thermal stress field cloud picture and a strain field cloud picture of the interlayer variable-path printing composite material are obtained; a printing simulation result is analyzed and compared with an actual printing result, errors are reduced, actual printing is guided through the optimized interlayer path and other technological parameters, and the overall forming precision is improved.

The present invention discloses a sampling device for rapid detection of volatile substances based on ion mobility spectrometry, comprising: a chamber fixing frame, a sampling mechanism and a heating transmission mechanism, wherein the chamber fixing frame is composed of 4 stainless steel cylinders, which are used to support and fix the sampling mechanism, and the sampling mechanism is used to carry the sample to be tested, and it can be displaced within a preset range so that it keeps contact or separation with the heating transmission mechanism, and the heating transmission mechanism is used to cooperate with the sampling mechanism to heat the gaseous sample to be tested. The present invention adopts a design combining hot carrier gas penetration purge with thermal analysis, which greatly reduces the possible loss of volatile substances in the sampling process on the one hand, and greatly shortens the time for all samples to be analyzed from the matrix on the other hand, while ensuring the sample injection amount, realizes the rapid detection of the volatile sample to be tested, can meet the needs of on-site real-time monitoring, and expands the scope of application of ion mobility spectrometry as a quantitative instrument, with a broader application prospect.

A multi-field coupling-based thermal characteristic analysis method for an extra-high-voltage direct-current isolating switch comprises the following steps of: 1, establishing a three-dimensional geometric model of a conductive structure of the extra-high-voltage direct-current isolating switch, and simplifying the structure according to a simulation precision requirement; 2, importing the three-dimensional geometric model obtained in the step 1 into simulation software, applying rated current excitation to the conductive structure in the simulation software, and calculating current density distribution in the conductor and Joule thermal power generated by the current density distribution; 3, coupling the thermal power field obtained in the step 2 with a heat conduction field, and constructing an electric-thermal multi-physical field joint simulation model; 4, setting temperature-related physical property parameters and environment boundary conditions of the material, and performing transient thermal analysis to obtain temperature distribution and thermal characteristics of the disconnecting switch in an operation state; through the steps, the thermal characteristic analysis of the extra-high voltage isolation switch based on multi-field coupling is realized.

A measuring device for thermal analysis of a sample is described, the measuring device comprising: (i) a sample receptacle for receiving the sample, (ii) a heating device for increasing the temperature of the sample receptacle, (iii) a cooling device for reducing the temperature of the sample receptacle, and (iv) a heat transport element having a thermal resistance and being arranged between the heating device and the cooling device such that a heat flow between the heating device and the cooling device via the heat transport element is enabled. Further, the measuring device v) comprises an electrothermal transducer arranged between the heat transport element and the cooling device such that operating the electrothermal transducer adjusts the heat flow through the heat transport element.

This invention provides a means to perform differential scanning calorimetry analysis more cost-effectively, simply, and quickly. [Solution] A system for simultaneous thermal analysis of multiple single samples, particularly biological materials, by differential scanning calorimetry (DSC) comprises a sample carrier having multiple sample containers, each sample container assigned a single sensor for measuring the amount of heat released or absorbed from a single sample during thermal analysis; a heating and / or cooling unit having a receptacle for the sample carrier and for simultaneously applying temperature load to the single samples contained in the sample containers; and a measuring instrument connected to a single sensor and configured to simultaneously acquire measured values ​​of the amount of heat released or absorbed by a single sample during thermal analysis. Furthermore, a sample carrier for use in this system and a method for simultaneously analyzing a single sample or a group of single samples by differential scanning calorimetry (DSC) are provided.

The invention provides a bluff body steel box girder temperature field determination method based on convective heat transfer coefficient correction. The method comprises the following steps: S1, analyzing section wind field characteristics of the bluff body steel box girder based on CFD software; s2, constructing an influence model of the aspect ratio uniform section parameter change on the steel box girder wind field, performing regression analysis on a calculation result, and establishing a calculation formula and a value suggestion quantity of each surface wind speed correction coefficient of the bluff body steel box girder under the condition of different aspect ratios; s3, respectively establishing steel box girder thermal analysis models before and after convective heat transfer coefficient correction; s4, the accuracy of the convective heat transfer coefficient correction method in bluff body steel box girder temperature field simulation is checked through bridge field actual measurement temperature data; s5, analyzing a bluff body steel box girder temperature field change rule under the condition of different aspect ratios, and finally establishing a bluff body steel box girder temperature field determination method suitable for different section parameters; the accuracy and reliability of the bridge temperature field analysis result can be improved.

The invention discloses a grain and oil material drying process moisture online nondestructive testing method and system based on multivariate information online perception and thermal analysis, and the method comprises the steps: calculating ambient air absolute humidity according to ambient air temperature and relative humidity, and obtaining incident airflow absolute humidity according to the ambient air absolute humidity; calculating the average temperature of the wet material in the drying process; according to the absolute humidity of the incident airflow, the average temperature of the wet material, the temperature of the incident airflow, the temperature of the exhaust airflow and the total mass of the wet material, the dry basis moisture of the wet material at the sampling moment is directly calculated through a discretized dry basis moisture value calculation formula. The moisture value of the material is calculated through the numerical algorithm based on heat and humidity balance, and the method has the advantages that the material is not damaged in the detection process, the equipment cost is low, and the output moisture value interval time is short.