86 results about "Thermal strain" patented technology

The invention relates to the technical field of computer-aided engineering, in particular to a nonlinear efficient iterative solving method for thermal strain load, which is used for solving an obtained finite element equation by using a modified Newton-Raphson method and comprises the following steps of: firstly, establishing a geometric model to be analyzed and performing grid division; the method comprises the following steps: firstly, setting a model to be analyzed, then setting boundary conditions and temperature field change conditions of the model to be analyzed, finally, inputting the conditions into an algorithm solver, solving a nonlinear equation set, iteratively inputting a load continuously according to a modified Newton-Raphson method in the solving process, calculating node displacement until convergence, and solving stress-strain conditions in the welding process according to a material constitutive relation. In the solving process, by judging the size of the two norms of the displacement increment obtained in the adjacent increment step heuristic stage, the convergence of nonlinear solving of the structure is enhanced through the calculation mode, and the solving speed of the nonlinear problem in the thermal elastic-plastic constitutive structure is increased.

The invention discloses a temperature influence compensation method and system in a passive bolt monitoring system, and belongs to the technical field of structural health monitoring, and the method comprises the steps: obtaining a resonant frequency signal of a passive bolt monitoring sensor and temperature data, collected by a preset distributed temperature sensing network, of a plurality of monitoring points; reconstructing a two-dimensional temperature field cloud picture of the bolt connection area through interpolation calculation; extracting an equivalent comprehensive temperature rise value from the temperature field distribution, and performing preliminary compensation on the resonant frequency signal to generate a preliminary strain value; calculating a virtual thermal strain value generated by temperature influence; and performing decoupling operation on the initial strain value based on the virtual thermal strain value to obtain a compensated real mechanical strain value, and accurately separating the real mechanical strain from the total measurement strain by adopting a method of reconstructing a two-dimensional temperature field of a bolt connection area and calculating a decoupling virtual thermal strain by utilizing a finite element analysis micro-simulation model. Therefore, the accuracy and reliability of bolt pre-tightening force monitoring are improved.

The invention discloses a bridge temperature-induced strain prediction method under the influence of non-constant noise, and the method comprises the steps: building a training set containing main beam temperature and temperature-induced strain according to historical monitoring data, and assuming a test set; under a heterovariance Gaussian process framework, constructing conditional distribution of temperature-induced strain of a main beam of the test set as an undetermined heterovariance Gaussian regression model; a variational Bayesian inference method is adopted to construct a variational free energy boundary based on variational posteriori distribution, and approximation is performed on the variational free energy boundary to obtain an edge variational boundary; assuming that the variational posteriori distribution of the noise logarithmic variance function obeys multivariate normal distribution, simplifying an edge variational boundary into a new edge variational boundary, and solving to obtain a hyper-parameter and a variational parameter; and substituting the obtained result into the to-be-determined heterovariance Gaussian regression model, obtaining new main beam temperature data, and predicting the temperature-induced strain of the main beam in the test set. The bridge temperature-induced strain prediction method under the influence of the non-constant noise is established, the prediction precision can be ensured, and the calculation efficiency can be improved.

A method for predicting a multi-physics field coupling process of natural hydrogen flow-heat transfer-rock thermal strain in underground pores belongs to the field of natural hydrogen resource exploration, and is characterized in that a multi-physics field coupling model for describing natural hydrogen flow-heat transfer-rock thermal strain in formation pores is established based on phase field variables; the method comprises the following steps: establishing a porous medium geometric model according to a rock underground pore structure, performing grid division on the porous medium geometric model to obtain a plurality of grid units for reflecting different spatial distribution positions of natural hydrogen in the rock underground pore structure, and setting initial conditions and boundary conditions of the porous medium geometric model; according to the multi-physics field coupling model, solving the space-time evolution characteristics of the hydrogen volume fraction, the water volume fraction, the fluid temperature, the rock skeleton matrix temperature and the rock skeleton matrix thermal strain value of each grid unit of the porous medium geometric model to obtain the distribution in time and space; according to the method, the reservoir forming mechanism and the reservoir forming stability of the natural hydrogen are evaluated more accurately and systematically.

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 invention discloses a contour and filling direction adaptive path planning and SLM support-free forming method, which has the following beneficial effects that a low-angle overhanging region is separated based on a region division algorithm, a scanning vector is controlled by a contour on the basis of contour features of complex structure features and an overhanging direction recognition algorithm, and the accuracy of the contour and filling direction adaptive path planning and SLM support-free forming method is improved. The expansion direction of the lower surface area is a filling direction, and adaptively generating a scanning path and the filling direction; different from a conventional path filling strategy, the method can meet the complex structure characteristics of a curved surface, a round hole, rotation, a special-shaped runner, a curved surface and the like, and the scanning line vector and the filling direction of a lower surface area adapt to the structure contour characteristics, so that the influence of the placing position and the scraper direction on the forming thermal strain accumulation and the lower surface forming quality is reduced; according to the method, the high-quality and stable forming requirements of the low-angle feature of 30 degrees or below of existing mainstream metal materials can be met, and the data processing time cost, the powder material consumption and the post-processing time in the whole forming process are effectively reduced.

The present application belongs to the technical field of thermal load deformation and force load deformation measurement, and relates to a thermal and force deformation field decoupling method and system based on two-dimensional visual measurement. According to the temperature field at discrete temperatures, the thermal deformation field at discrete temperatures and the corresponding temperature, and by using a binary function model, the influence coefficient of fitting temperature on thermal strain is obtained, the jumps between discrete data are eliminated, and the continuity and prediction ability of thermal strain are improved. According to the influence coefficient of fitting temperature on thermal strain and the binary function model, a fitted binary function model is obtained, which is more in line with the actual material properties. According to the temperature field under the thermal and force coupling condition, the deformation field under the thermal and force coupling condition and the fitted binary function model, an equivalent thermal deformation field is obtained, the thermal and force coupling deformation is decoupled, the dynamic correlation of thermal strain and deformation field is realized, and the decoupling precision is improved.

The application provides a design method of a blended wing body mould based on a temperature field and a curing field, and comprises the following steps: S1, establishing a 3D model of the blended wing body mould; S2, obtaining a convection heat transfer coefficient and establishing a temperature field; S3, curing a composite material structure model and establishing a curing field; S4, conducting heat conduction calculation and analysis; S5, conducting heat distribution compensation design; S6, conducting thermal strain compensation design, and confirming a final design scheme. The application effectively combines fluid simulation, a temperature field, a curing field and stress and strain simulation, makes up for the singleness of traditional methods in certain type analysis, considers the influence of actual factors to the maximum extent, proposes heat distribution compensation and thermal strain compensation according to simulation results, forms a complete design method of the blended wing body mould, improves design precision, reduces the dependence and blindness of traditional design which relies on experience design, and reduces test and production trial and error costs.

The present application belongs to the technical field of heating pipeline, and particularly relates to a prefabricated thermal insulation socket and spigot corrugated reinforced steel cylinder concrete composite pipe and a design method thereof. In view of the technical problems of strong destructive effect of high internal and external pressure, prominent thermal strain damage under large temperature difference working condition, and serious corrosion in high temperature and high humidity environment, the present application proposes a prefabricated thermal insulation socket and spigot corrugated reinforced steel cylinder concrete composite pipe with a structure from outside to inside in turn as a protective layer, a thermal insulation layer, a steel cylinder and an inner lining layer, a socket and spigot structure at a pipe end connection, and double rubber ring sealing for the socket and spigot. The design method of the composite pipe comprises respectively designing the thickness of the steel cylinder, the socket and spigot structure with a stop bolt and a strain compensation groove, the inner lining layer of the composite pipe, and the protective layer and the thermal insulation layer of the composite pipe. Through the present application, the structural design of large-diameter heating pipeline is realized, the problems of high internal and external pressure, large temperature difference thermal strain and high temperature and high humidity corrosion of the heating pipeline are solved, the performance of the heating pipeline for conveying hot water is ensured, the cost is reduced, and the safety is improved.

The present application relates to the technical field of oil and gas geothermal exploitation, and discloses a method for identifying wellbore micro leakage by using distributed temperature gradient sensing data, which comprises the following steps: S1: optical fiber laying; laying optical fiber sensors along the outer wall of the casing outside the tubing in the whole length of the wellbore; S2: data acquisition; S3: data processing; extracting low-frequency thermal strain data from DAS, processing temperature gradient by LF-DAS data, and processing temperature gradient by absolute temperature data of DTS data to obtain distributed temperature gradient data; and performing visual processing on the DTGS data to generate a heat map of temperature distribution and strain change; S4: leakage identification; performing threshold judgment on DTGS and DTS, establishing a leakage identification model, and combining multi-dimensional signal features to predict the state and development trend of leakage; and performing early identification and early warning of micro leakage. The present application uses DTGS data to identify wellbore micro leakage, and significantly improves the detection accuracy of temperature gradient change and the identification ability of low flow rate, small flow wellbore micro leakage.

The invention discloses a working method and system of a projection camera integrated with a temperature control function, and relates to the field of cameras. The method comprises the following steps: synchronously acquiring an infrared thermal field, dark current of an image sensor and a duty state of a micro-mirror array, and calculating a multi-source thermal disturbance characteristic value through an entropy algorithm and photo-thermal phase difference analysis; driving a thermal diffusion diagram neural network by the characteristic values, inverting a thermal strain field, and projecting the thermal strain field to a Zernike basis function space to generate a thermally induced aberration risk index and a thermodynamic diagram; calculating an active temperature control intervention level and a strategy parameter through an adaptive threshold value and fuzzy reasoning based on the risk index and the convection intensity estimation value; constructing a multi-objective non-convex optimization problem according to the intervention level, and solving to obtain a collaborative scheduling weight and an optimization instruction; and extracting the maximum Lyapunov index and generating a thermal stability look-ahead confidence coefficient with the risk index to predict future thermal evolution and perform adaptive regulation and control. According to the invention, the imaging precision of the projection camera under thermal disturbance is improved through multi-level cooperative temperature control.

The invention discloses a microwave wireless temperature sensor based on an electromagnetic metamaterial. According to the sensor, the 8 * 8 unit metamaterial array is constructed, so that efficient wireless collection and capture of space electromagnetic signals are realized; by constructing a metamaterial array cascaded microwave power synthesis feed network, power synthesis and cascade transmission of microwave wireless collection and capture signals are realized; based on the equivalent impedance response of microwave near-field resonance, a feed network output end cascade microwave complementary interdigital resonator is constructed, and metamaterial array microwave wireless signal collection and capture characteristic regulation and control based on the resonance response of the microwave complementary interdigital resonator are realized. Based on the idea that temperature information response and temperature information generation are isolated from each other, a temperature sensing probe of a metal sensing piece, a high-temperature-resistant ceramic shell and a metal hot branch knot is constructed, and temperature regulation and control of resonance characteristics of a microwave complementary interdigital resonator based on thermal strain response are achieved. Finally, the wireless sensing of the temperature information is realized by reading the echo characteristic information of the electromagnetic metamaterial array in real time.

The invention discloses a galvanized steel pipe surface defect detection method and system based on image data, and relates to the technical field of image data processing. A galvanized steel pipe surface defect detection system based on image data comprises an image acquisition and processing module, a thermal strain field construction module, a geometric distortion correction module and a defect detection and evaluation module. According to the method, the thermal expansion and cold contraction galvanized steel pipe in the conventional visible light image is corrected through the infrared thermal imaging image and the material thermal expansion law, a quantitative relation model between the temperature change and the physical deformation of the galvanized steel pipe can be accurately established, and shape distortion or size change caused by uneven temperature is accurately corrected; therefore, the galvanized steel pipe surface features close to the real state are restored, the accuracy of defect detection is improved, misjudgment or missing detection caused by thermal expansion and cold contraction is effectively avoided, the reliability of the detection result is ensured, and the defect detection effect of the galvanized steel pipe surface defect detection method and system is improved.

The invention discloses a CFRP thermal coupling cutting modeling method based on a microcosmic failure theory. Comprising the following steps: establishing a carbon fiber three-dimensional geometric model, a matrix three-dimensional geometric model and a cutter three-dimensional geometric model, and performing grid division and assembly to obtain a CFRP three-dimensional grid model; the method comprises the following steps: setting a multi-phase three-dimensional damage constitutive relation of a fiber phase, a matrix phase and an interface phase, setting a heat conduction equation, an initial environment temperature and a heat insulation boundary condition, inputting a heat source equation comprising main shear surface deformation heat, cutter-chip interface friction heat and cutter-workpiece interface friction heat, inputting a thermal strain equation, and finally, calculating a thermal deformation coefficient according to preset parameters and a preset time step length. And performing thermal-mechanical coupling analysis on the cutting process of the to-be-cut structure to obtain a simulation result. According to the method, the microcosmic failure theory is applied to a material constitutive model, an exponential type reduction mode better conforming to carbon fiber rigidity degradation is used, and the fibers are arranged in a staggered mode, so that the internal structure and the damage evolution process of the CFRP are reflected more truly.

This invention discloses a simulation method for the sintering process of all-ceramic micro-encapsulated dispersed fuel, comprising the following steps: S1, preparing all-ceramic micro-encapsulated dispersed fuel pellets, measuring the density of the fuel pellets, and determining the microstructure and grain size of the fuel pellets; S2, obtaining the density distribution of the green body after initial pressing before sintering based on the powder plastic yield criterion model, and calculating the plastic strain rate; S3, establishing a thermoviscoelastic constitutive phenomenological model describing the sintering process of all-ceramic micro-encapsulated dispersed fuel based on elastic strain rate, plastic strain rate, thermal strain rate, and sintering strain rate; S4, establishing a finite element model; S5, substituting the thermoviscoelastic constitutive phenomenological model constructed in step S3 into the finite element model to predict density and stress field. This invention not only simulates the microstructure and stress changes during hot pressing sintering, but also fully considers all factors affecting strain, providing simulation accuracy.

This invention discloses a method for controlling welding hot cracks with bilateral symmetrical thermal strain assistance. The method includes preparation before welding and welding. In the welding step, the temperature generated by the two induction coils is stabilized at 302±5℃ before welding begins. During welding, the welding heat source and the two induction coils move synchronously and uniformly from back to front, so that the thermal strain generated by the two induction coils continuously heats the workpieces to be welded on both sides of the weld within the brittle temperature range behind the molten pool until welding is completed. In this way, the thermal strain generated by the two induction coils continuously heats the corresponding workpieces to be welded on both sides of the weld within the brittle temperature range behind the molten pool. The thermal expansion of the workpieces generates a transverse compressive strain pointing towards the weld center in the weld metal within the brittle temperature range (BTR zone) behind the molten pool, thus counteracting the crack-inducing tensile strain generated in the brittle temperature range during welding, thereby effectively controlling the generation of hot cracks.

The application discloses a ceramic matrix composite material vibration simulation method considering heat and damage comprehensively, uses a finite element analysis method to perform dynamic analysis on CMC material, considers damage based on a woven ceramic matrix composite material arbitrary loading and unloading constitutive model, discretizes a temperature field and solves each node temperature by using an interpolation method to obtain each point thermal strain, solves a dynamic equation by using a central difference method in a time domain, can calculate the response of CMC material at each moment under different excitation frequencies, and obtains an amplitude-frequency curve, so that accurate and efficient simulation measurement of CMC high-temperature nonlinear dynamic response is realized.

Provided is a grain-oriented magnetic steel sheet having both low iron loss and low magnetostriction. The grain-oriented magnetic steel sheet has a heat-strained region extending in a direction transverse to a rolling direction, and has closed magnetic domains in the heat-strained region. The heat-strained region has maximum points of tensile strain on both sides of the closed magnetic domains in the rolling direction. In a strain distribution in the rolling direction of the heat-strained region, the strain on both sides of the closed magnetic domains is a tensile strain greater than the strain at the center between the maximum points.

The invention discloses a welding deformation simulation method based on thermal strain cycle compensation, belongs to the technical field of welding stress deformation simulation, and solves the problem of precision and efficiency imbalance of an existing welding numerical simulation method in engineering application. And S2, based on a thermal strain cycle algorithm introducing thermal strain compensation, compensating plastic deformation of a near weld zone material in a transient moving heat source temperature rise stage, and completing welding deformation simulation of the heat source. According to the method, thermal strain compensation is introduced to compensate the structural rigidity difference of the material, the welding deformation obtained through simulation can equivalently obtain the calculation precision of the moving heat source, and experimental verification shows that under the same temperature thermal cycle condition and boundary condition, the thermal strain compensation is applied, and the calculation precision of the moving heat source is improved. And the calculation error of welding stress and deformation of welding bead overall heating and moving heat source step-by-step filling heating is smaller than 10%. And the calculation period is obviously prolonged.

This technology suppresses the generation of thermal strain during crystal growth, enabling the realization of high-quality SiC single crystals with a low crystal defect density. [Solution] A SiC single crystal substrate is used, comprising a first main surface and a second main surface located opposite the first main surface, wherein the first main surface is a surface inclined with an off-angle of 0° to 8° with respect to the {0001} plane. Here, incident light having two mutually orthogonal polarization components and a wavelength of 520 nm is incident on the first main surface, and the phase difference between the first emitted light and the second emitted light emitted from the second main surface is measured. In the distribution of phase differences obtained, the average value of the phase difference is 10 nm or less, and the maximum value of the phase difference is 70 nm or less.

The application relates to a method for preparing a beryllium-aluminum composite material by adopting electric arc additive manufacturing, and relates to a method for preparing a beryllium-aluminum composite material. In order to solve the problem that solidification cracks are caused by the difference between the thermal physical properties of two phases in the electric arc additive manufacturing process of the beryllium-aluminum composite material. In the process of preparing the beryllium-aluminum composite material by layer-by-layer deposition of the electric arc additive manufacturing, the environmental temperature of the beryllium-aluminum composite material is controlled, and the beryllium-aluminum composite material is controlled to be cooled between adjacent layer deposition, the thermal gradient and the cooling rate in the solidification and cooling process are reduced, the instantaneous stress peak value caused by the rapid shrinkage and the uneven thermal strain is reduced, the crack driving force is reduced, and the problem that the thermal physical properties of the beryllium and aluminum two phases are greatly different is overcome. The preparation period of the method is short, the forming efficiency is high, the cost is low, and the method can meet the manufacturing of large metal components. The near-net forming of the beryllium-aluminum composite material component can also be realized, and the material utilization rate is greatly improved.

The technical problem to be solved by the present invention is to provide a high-quality SiC single crystal which suppresses the generation of thermal strain during the crystal growth process and which has a small crystal defect density. [Solution] A SiC single crystal substrate having a first main surface and a second main surface positioned on the opposite side of the first main surface is used, and the first main surface is a surface inclined at an off-angle of 0-8 DEG with respect to a {0001} surface. Wherein, in a distribution of phase differences obtained by causing incident light having two polarization components orthogonal to each other and having a wavelength of 520 nm to be incident on the first main surface and measuring a phase difference between first and second emitted light emitted from the second main surface, the average value of the phase differences is 10 nm or less, and the maximum value of the phase differences is 70 nm or less.

The application discloses a kind of ceramic matrix composite temperature-related mechanical properties inversion method, specifically related to the field of composite material performance characterization.It includes: the ceramic matrix composite to be measured is divided into multiple test pieces;Each test piece is heated to target temperature, and the measured thermal strain of multiple points on the surface of each test piece is obtained;For each test piece, at its target temperature, the test piece is uniaxially stretched by loading end, and the measured tensile strain of multiple points on the surface of the test piece during uniaxial stretching, the measured stress-strain curve is obtained;A parameterized function of the mechanical property parameter vector of the ceramic matrix composite to be measured changes with temperature is constructed, to minimize the error function as the goal, the hyperparameter vector is inverted and identified, to obtain the optimal hyperparameter vector, and the mechanical property parameter vector of the ceramic matrix composite to be measured is obtained in combination with the parameterized function.Based on the above method, the mechanical property parameters of microscale component materials can be obtained.

This utility model provides a drive gear with an internal self-lubricating oil channel. It relates to the field of gear technology and includes a gear disc. One end of the gear disc has an inner groove, in which a drive shaft is fixedly connected. A tube is formed through the end of the gear disc opposite to the drive shaft, and a bearing rod is inserted into the tube. An oil pipe is inserted into the bearing rod. An expansion plate, made of a thermal strain material, is filled inside the bearing rod. The beneficial effects of this utility model are: a thermal strain expansion oil supply structure is provided inside the gear disc between the drive shaft and the opposite bearing rod. Combined with the internal oil channel distribution within the gear and the centrifugal force during gear rotation, the internal oil fills the inner end of the gear disc's tooth groove and lubricates the contact end with the driven gear when in contact, achieving self-lubrication of the drive gear, reducing maintenance costs, and ensuring the stability of the drive gear during long-term operation.

The invention provides a metal embedded multipoint fiber bragg grating strain sensor and a preparation method thereof, the sensor comprises a multipoint fiber bragg grating string, a metal protective sleeve and a transition tube, two measuring points on the multipoint fiber bragg grating string are in a group, one measuring point is used for temperature compensation of the other strain measuring point, and the metal protective sleeve is used for packaging. According to the invention, the multi-point fiber bragg grating string is embedded into the metal structure through an ultrasonic additive process to realize embedded strain measurement of the metal structure, and the temperature compensation structure can compensate thermal strain of the to-be-measured structure in the strain measurement process and measurement result distortion caused by cross sensitivity of measurement points to temperature. Accurate sensing of mechanical state information of the metal structure is achieved, strain information of multiple sets of measuring points on multiple sensors can be collected at the same time in cooperation with a multi-channel demodulator, and embedded quasi-distribution measurement is achieved. The method is suitable for strain monitoring scenes with severe temperature change, such as rocket engines, gas pipelines and satellite sailboards.

To provide a resin outer panel member capable of preventing the occurrence of a poor appearance caused by thermal strain irrespective of its shape or a fixing form with an inner panel member.SOLUTION: A resin outer panel member 10 comprises: a regulation region 13 regulated in elongation in a direction along a surface in a state where a part of a peripheral edge 10a is fixed to an inner panel member; and a folding part 16 provided at a position sandwiching a part 14 of the peripheral edge of the regulation region 13 fixed to the inner panel member and the center 13a of the regulation region 13 and formed into a shape folded toward the center 13a of the regulation region 13. The thickness ts2 of the folding part 16 on both sides in a width direction is smaller than the thickness tc2 of the folding member 16 on the center side in the width direction.SELECTED DRAWING: Figure 3

The invention provides a bridge monitoring method, system and equipment based on deep learning and a medium, and the method comprises the following steps: collecting an original strain sequence and environmental parameters of each monitoring point of a road bridge, calculating a theoretical thermal strain according to the environmental parameters and a material thermal expansion coefficient, and carrying out the alignment subtraction of the theoretical thermal strain and an original data time sequence, so as to obtain a structural strain through correction; constructing a space-time strain matrix in a preset time window according to the monitoring point position and the acquisition time sequence, and uploading the space-time strain matrix to the cloud; inputting the matrix into a deployed convolutional neural network at a cloud end, extracting deep features by adopting multi-layer convolution comprising a time dimension convolution kernel and a space dimension convolution kernel, and then mapping the deep features into settlement state probability vectors through a full connection layer; and comparing the vector with a reference health state vector, and if the deviation exceeds a safety threshold, triggering settlement early warning. By implementing the technical scheme provided by the invention, environmental interference can be effectively eliminated, and the accuracy and real-time performance of bridge settlement monitoring are improved.

This invention relates to the field of optical fiber packaging technology and discloses a side-polished optical fiber packaging structure for stress relief using thermally induced phase change materials. The structure includes a side-polished optical fiber, a packaging substrate with positioning V-grooves, a fixing adhesive, and thermally induced phase change microcapsules. The optical fiber is divided axially into a polished area and two fixed sections on either side, and is embedded in the V-grooves and bound by the fixing adhesive. The phase change microcapsules are uniformly distributed only in the fixing adhesive between the fixed sections and the V-grooves. Within the packaging area corresponding to the polished area, a pure adhesive layer free of solid particles is filled. When the ambient temperature rises, causing thermal expansion mismatch, the microcapsules in the fixed sections undergo a solid-liquid phase transition, causing a step decrease in the elastic modulus of the adhesive in that area. This microscopic deformation absorbs and unloads the interfacial thermal strain. This invention, through phase change softening and energy absorption, isolates the pure adhesive layer, blocks thermal stress transmission, eliminates stress concentration, and improves the mechanical stability of the packaging structure while ensuring optical field coupling.

This invention relates to the field of sliding bearing simulation and optimization technology, and more specifically to a high-precision simulation and optimization design method for hydrostatic thrust sliding bearings. It establishes an efficient decoupling model of the fluid-solid-thermal three-physics field of the hydrostatic thrust sliding bearing, decomposing the overall thermodynamic field into two subfields, which are coupled with the fluid force field and the solid force field, respectively. Then, it constructs a gap oil film flow / thermal field model and a friction pair deformation solid / thermal field model, achieving equivalent coupling through data transfer. The oil film control equations are iteratively solved to obtain oil film pressure, temperature, and flow velocity; the friction pair equations, including elastic constitutive and thermal strain equations, are solved to obtain their elastic and thermal deformations, with bidirectional data transfer achieving coupled iteration. Based on the above method, simulations are performed, establishing sub-models of oil film flow and friction pair deformation, using local interpolation and dynamic meshing to process the interface; the oil cavity is optimized based on the simulation results, parametric analysis is used to establish the mapping between structural parameters and lubrication performance, the objective function and constraints are defined, and the optimal oil cavity structure is obtained through algorithms.

The invention relates to the technical field of geotechnical engineering safety monitoring, and discloses a tunnel surrounding rock radial deformation distributed monitoring technology based on distributed optical fiber sensing, and a system comprises a composite sensing rod body implanted into a drill hole, demodulation equipment and a main control terminal. An active heat shock interference unit and a spiral, linear and temperature three-channel optical fiber network are arranged in the rod body. The method comprises the following steps: firstly, controlling a heat shock disturbance unit to apply a thermal field, observing a ratio of thermal strain to theoretical free expansion strain based on a spiral channel, and inversely generating a coupling efficiency coefficient to realize in-situ calibration of contact stiffness; and then decoupling and separating radial and axial mechanical strain by using orthogonal topology, and finally correcting the strain by combining a coupling efficiency coefficient and performing integral reconstruction on the radial displacement distribution of the surrounding rock. According to the method, the strain transmission efficiency is quantified through an active heat shock disturbance mechanism, the problem of measurement errors caused by grouting defects is solved, and the accuracy of deformation monitoring is remarkably improved.