43 results about "Dynamic modulus" patented technology

The invention relates to a digital twinning fused material-equipment collaborative crack repair design method and equipment, and the method comprises the following steps: building an electromagnetic-thermal field coupling model, and obtaining pavement temperature field distribution, the electromagnetic-thermal field coupling model being a system combining microwave heating equipment, an asphalt pavement, a crack and a repair material; based on the mapping relation between the pavement temperature and the dynamic modulus, a pavement compaction model under the action of a road roller is established through finite element simulation; actual pavement parameters are obtained, a key parameter combination of a crack repairing material and microwave heating equipment is inversely optimized according to the pavement compaction model, and the key parameter combination comprises an electromagnetic loss parameter E, heating power W, heating width b and heating time t; and designing a crack repairing material and microwave heating equipment based on the final optimized key parameter combination. Compared with the prior art, the method has the advantages of accurate repair, convenient construction, high repair efficiency, small environmental disturbance and the like.

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

The application discloses a kind of cracking simulation test methods for rubber modified asphalt mixture, comprising: establishing synchronous docking test and the pre-model of simulation;Pre-model built-in relaxation modulus function, relaxation modulus function reflects the influence result of viscoelastic parameter and fracture energy input parameter;Establish extended finite element simulation simulation, and send simulation analysis result to pre-model to the influence result compared with relaxation modulus function verification;Through dynamic modulus test, the master curve of dynamic modulus is established, the master curve of dynamic modulus is converted to relaxation modulus with a specific scale factor, and data results are obtained according to relaxation modulus function, and the data results are compared and verified with the influence results. The application solves the problem that it is difficult to accurately and reliably obtain road cracking data due to the poor flexibility of crack adaptation for various shapes in the prior art for the cracking research of asphalt pavement, the indoor test method has human subjectivity, and the software technology is used to simulate the pavement structure.

This invention discloses a method and equipment for evaluating the tensile toughness of recycled asphalt mixtures, relating to the field of analytical techniques for recycled asphalt mixtures. The method includes: acquiring variables related to the internal structure and external environment of the recycled asphalt mixture to be evaluated; the variables related to the internal structure include: internal structural state variables, the length of the aggregate-binder two-phase interface transition zone, and the elastic modulus; the variables related to the external environment include: tensile strain ratio, loading frequency, and dynamic modulus; and calculating the tensile toughness evaluation value of the cold recycled asphalt mixture based on a predetermined multi-parameter coupling relationship using the variables related to the internal structure and the external environment. This invention introduces environmental factors and internal structural parameters of the recycled asphalt mixture to establish a multi-parameter tensile toughness evaluation model, fully considering the material composition, microstructural distribution characteristics, load factors, and ambient temperature of the recycled asphalt mixture under stress in the structural layer, enabling accurate evaluation of the tensile toughness of the recycled asphalt mixture.

The invention discloses an asphalt mixture dynamic modulus prediction method and system and a storage medium, and the method comprises the following steps: S1, obtaining a fractal dimension of a coarse aggregate through the grading screening fitting of an asphalt mixture, and building a probability density function of the particle size distribution of the coarse aggregate according to the fractal dimension; s2, calculating the dynamic complex modulus by using the energy storage modulus and the loss modulus of the asphalt mortar; s3, dispersing the coarse aggregate into a plurality of particle size intervals, calculating the volume fraction of each particle size interval according to a probability density function, and calculating the equivalent inclusion modulus of the coarse aggregate in combination with the dynamic complex modulus; and S4, taking the equivalent inclusion modulus as a new inclusion phase, taking the asphalt mortar as a basic item, and solving the dynamic modulus of the asphalt mixture through a self-consistent method. The equivalent inclusion modulus is used as a new inclusion phase, the asphalt mortar is used as a basic item, and the dynamic modulus of the asphalt mixture is solved through a self-consistent method. According to the method, a physical mechanism can be truly restored, and the dynamic modulus of the asphalt mixture can be accurately predicted.

The invention provides an asphalt mixture pavement compactness prediction model construction method and a real-time prediction system, and the method comprises the steps: regarding a vibration compaction wheel as a dynamic coupling system interacting with a pavement material, and employing a Burgers creep model to simulate the deformation of an asphalt mixture; a physical mapping relation among the bituminous mixture pavement compactness, the bituminous mixture creep parameter and the vertical acceleration of the compaction wheel is established, a creep parameter value is obtained by combining a dynamic modulus test, and then a compactness prediction model is obtained. According to the method, the randomness and instability of a traditional empirical model are overcome, real-time monitoring of the pavement compaction quality in the whole compaction process can be achieved through vertical acceleration signals, frequent coring detection is not needed, detection is more timely, and the construction efficiency and uniformity can be remarkably improved; the prediction model has good environmental adaptability and robustness, prediction can be carried out under different construction temperatures and vibration compaction work conditions, the pavement compaction degree can be predicted in real time, and the prediction result is reliable.

The utility model belongs to the technical field of asphalt mixtures, and particularly relates to an asphalt mixture tensile dynamic modulus testing device which comprises a tensile testing machine body, a fixing block connected to the surface of the front end of the tensile testing machine body, a rotating shaft rotationally connected to the side wall of the fixing block, a rotating plate rotationally connected to the surface of the rotating shaft, and a limiting block arranged on the surface of the other side of the rotating plate. The surface of the limiting block is connected to the limiting frame in a clamped mode, the inner wall of the rotating plate is connected with a first heat insulation plate in an embedded mode, the top of the first heat insulation plate abuts against the bottom surface of a second heat insulation plate, the surface of the second heat insulation plate is connected to the inner wall of the rotating plate in an embedded mode, the rear side surface of the tensile testing machine body is connected with a side plate, and the inner wall of the side plate is connected with a heat insulation cover in an inserted mode. The thermal insulation plate and the thermal insulation cover mounted on the front side and the rear side of the tensile testing machine body are used for thermal insulation and heat preservation of a detection environment in the tensile testing machine body, so that the influence of the temperature of an external environment on asphalt fixed on the tensile testing machine body is avoided, and the accuracy of an asphalt tensile result is ensured.

The application relates to the road maintenance technical field, in particular to a road fatigue performance evaluation method based on dynamic modulus; the road fatigue performance evaluation method based on dynamic modulus comprises the following steps: constructing a correlation curve for mapping the relationship between dynamic modulus representing road rigidity and the fatigue life of the road; setting a key life threshold for judging the fatigue performance; determining a limit modulus boundary in the correlation curve according to the key life threshold; obtaining a core sample of a service road; measuring the actual measured dynamic modulus of the core sample under a preset evaluation frequency; and judging the road state based on the positional relationship between the actual measured dynamic modulus and the limit modulus boundary. The application has the effect of improving the timeliness of the fatigue performance evaluation of the recycled asphalt mixture.

The invention relates to a method and a device for confirming a dynamic modulus prediction model of an asphalt mixture. The method comprises the following steps of: obtaining a first prediction result of a Transform model and a second prediction result of a GA-BP (Genetic Algorithm-Back Propagation) neural network model; evaluating the first prediction result and the second prediction result based on a preset evaluation index to obtain a precision prediction result; performing comparative analysis on the first prediction result and the second prediction result according to a linear result obtained by predicting the historical dynamic modulus data set by a preset data driving model to obtain a fitting precision evaluation result; the prediction results of the two models are fused, the prediction results are compared and analyzed through the linear result of the data-driven model, and the optimal model is screened in combination with a multi-dimensional evaluation method, so that the problems of low efficiency of a traditional experiment and insufficient prediction precision of an existing model are solved; the method has the advantages of improving the prediction precision, reducing the test cost and effectively capturing the nonlinear response characteristic of the material.

The invention discloses a modulus increasing agent for a cold-mixed asphalt mixture and a preparation method of the modulus increasing agent, and relates to the technical field of road engineering materials, the modulus increasing agent which is stable at high temperature, excellent in dynamic mechanical property and resistant to cracking at low temperature is prepared by optimizing components and a process; according to a modulus increasing agent premixing process, the asphalt is easier to disperse under a cold mixing condition, the dynamic modulus of a cold-mixed asphalt mixture is improved, meanwhile, relatively good low-temperature performance is kept, the compatibility of fibers and asphalt is improved through silane treatment, and after lignin fibers are oxidized and grafted, fumed silica is added to improve the dispersity and avoid fiber agglomeration; the SBS modifier and the tackifying resin cooperate to form an elastic network, so that the elasticity modulus of the asphalt is improved; the silane coupling agent reinforces interface bonding of the fiber and asphalt, and the plasticizer is added to counteract low-temperature brittleness of the resin, so that the asphalt modulus is improved, and water erosion is reduced. The modulus increasing agent for the cold-mixed asphalt mixture is particularly suitable for the technical field of road engineering materials, and has good popularization and application values.

The invention relates to the technical field of road engineering materials, and discloses an anti-skid pavement performance regulation and control method based on a waste refractory material and recycled aggregate, the regulation and control method comprises the following steps: preparing a pavement sample according to the recycled aggregate, and carrying out abrasion by adopting an accelerated loading abrasion tester, data of a dynamic friction coefficient, an average section depth, a macroscopic texture parameter and a microscopic texture parameter are obtained, correlation analysis among different parameters is carried out, and parameters without correlation are selected as aggregate characteristic parameters; performing a dynamic modulus test on the mixture sample at different temperatures and load frequencies, and establishing a dynamic modulus prediction model; and judging whether the pavement performance requirements are met or not based on the aggregate characteristic parameters and the dynamic modulus prediction model, if not, adjusting the grading and performance parameters of the recycled aggregate, and repeating the steps until the pavement performance requirements are met. According to the regulation and control method disclosed by the invention, through testing and modeling, the performance and grading of the recycled aggregate are continuously optimized so as to ensure that the antiskid pavement based on the waste refractory material meets the performance requirements.

This invention relates to the field of tire manufacturing technology, and more particularly to a low-heat-generating, high-stability crown belt rubber composition, a mixing method, and a tire. Based on 100 parts by weight of the rubber components, it includes natural rubber, first and second non-oil-extended polystyrene-butadiene rubber (BF2055H / L), and is supplemented with highly dispersed silica, carbon black, silane coupling agents, and α-methylstyrene resin, among other additives. BF2055H / L has a 20% styrene content, 55% vinyl content, and a bimodal molecular weight distribution, synergistically improving the dynamic modulus distribution of the rubber and the uniformity of filler dispersion. Optimized mixing processes achieve efficient reaction and uniform distribution of SiO2 with the rubber. Experiments have shown that, without sacrificing hardness and handling performance, the bimodal non-oil-extended SSBR is used as the core to solve the contradiction between heat generation, deformation, and processing; natural rubber ensures adhesion and elasticity; and medium-structure carbon black + silica balances reinforcement and heat generation. This achieves a comprehensive performance breakthrough in low heat generation, low deformation, high support, high durability, and environmentally friendly manufacturing.

The application provides a design and performance evaluation method of fatigue-resistant high-modulus asphalt mixture, relates to the technical field of road engineering, and reduces parameter dependency by constructing a simplified dynamic modulus prediction model by using a historical database through multivariate nonlinear regression analysis, and simplifies the calculation of the equivalent modulus of asphalt mortar on asphalt shear modulus and filler volume fraction, so as to improve the generalization of the model with low cost and high practicability as the goal; the disconnection between gradation design and dynamic modulus optimization is solved by using an intelligent optimization algorithm, an optimization function is constructed in combination with a dynamic modulus target and a gradation constraint, and the optimization is carried out through a cross genetic and particle swarm algorithm, so that the designed optimal mixture can meet the performance indicators; the relative error closed-loop check between actual measurement and the target dynamic modulus is used to enhance the design criterion, and the problem that the prediction deviation leads to multiple design adjustments is solved; and the problems of long cycle and high cost in the traditional method are solved.

The application provides a method for determining the "elastic-skeleton-void" structure of pavement mixture, and belongs to the technical field of pavement materials.The application creatively proposes an "elastic-skeleton-void" structure form aiming at the special material composition of the super-elastic porous mixture, and the structure is the fundamental reason for enabling the super-elastic porous pavement to have the composite functions of noise reduction, drainage, self-stress deicing and the like.Meanwhile, in combination with macroscopic physical and mechanical tests, mesoscopic discrete element simulation and digital image processing methods, and based on the uniaxial compression dynamic modulus of the mixture, the void ratio, the contact number of rubber particles and coarse aggregates, the internal force chain structure composition form and the contact force of the mixture, a method for determining the "elastic-skeleton-void" structure is provided, which is used for determining the skeleton composition structure of the mixture.

This invention provides a dynamic modulus testing system, method, and prediction method for asphalt mixtures, belonging to the technical field of asphalt material testing. It includes a test chamber for placing multiple asphalt mixture specimens; a strain acquisition component for acquiring the strain of the specimens placed in the test chamber due to load; a temperature acquisition component for acquiring the temperature of the specimens placed in the test chamber; a circulating temperature control device connected to the test chamber for controlling the temperature of the specimens placed in the test chamber, ensuring the dynamic modulus test is performed at a target temperature; and an accelerated loading device including a tire, which accelerates the loading of the specimens placed in the test chamber by adjusting the tire. This invention can simulate the testing of the dynamic modulus of asphalt mixtures under real-world conditions and achieve accurate prediction of the dynamic modulus of asphalt mixtures.

The invention relates to a steel bridge deck pavement sensing analysis system and method based on multi-dimensional data. The method comprises the following steps: testing raw materials to obtain construction retention time and interface parameters so as to guide mixture design, preparing a test piece according to the construction retention time and the interface parameters, and measuring a dynamic modulus main curve, a fatigue damage model and limit strain; establishing a reduced-scale test piece finite element model based on the main curve to predict bending-tensile strain, and performing a fatigue test in combination with limit strain to obtain reduced-scale life; obtaining a key stress range of the steel plate through full-scale model finite element analysis, and formulating an acceleration loading scheme according to the key stress range; loading is executed, multi-source monitoring data are collected, and the full-scale final fatigue life is determined; calibrating a fatigue damage model according to the service life; and finally evaluating the performance of the paving system based on the calibration model, the main curve and the full-scale life. According to the closed-loop verification process from the material to the full scale, the prediction model is iteratively calibrated through multi-scale test data, and the accuracy and reliability of long-term performance evaluation of the steel bridge deck pavement system are remarkably improved.

The invention relates to the technical field of asphalt mixture modulus prediction, and discloses an asphalt mixture multi-scale modulus prediction method and system, and the method comprises the steps: obtaining a three-scale joint data set, determining the design stage weight of each scale data, and outputting a design stage dynamic modulus prediction value through a trained first prediction model. The system corresponds to the method. According to the method, the prediction precision of the design stage is remarkably improved by constructing the three-scale data system, comprehensively capturing the modulus influence factors of the asphalt mixture and combining the dynamic weight distribution mechanism adaptive to the stage; through a cross-stage constraint function driven by data quality, the difference from design to service data quality is quantified, and the problem of performance disjunction of the two is solved. A transfer learning mechanism is constructed through a genetic operator, the dynamic change of data quality distribution is adapted, and the prediction stability and adaptability in the service stage are improved; therefore, full-life-cycle modulus accurate prediction is realized, and scientific support is provided for mixture ratio optimization and pavement maintenance decision making.

The application provides an asphalt mixture pavement compaction degree prediction model construction method and a real-time prediction system, the method regards a vibrating compactor wheel as a dynamic coupling system interacting with pavement materials, adopts a Burgers creep model to simulate deformation of the asphalt mixture, establishes a physical mapping relationship among the asphalt mixture pavement compaction degree, the asphalt mixture creep parameter and the vertical acceleration of the compactor wheel, combines a dynamic modulus test to obtain the creep parameter value, and then obtains the compaction degree prediction model. The application overcomes the randomness and instability of the traditional empirical model, can realize real-time monitoring of the pavement compaction quality in the whole compaction process through the vertical acceleration signal, does not need frequent coring detection, the detection is more timely, can significantly improve the construction efficiency and uniformity, the prediction model has good environmental adaptability and robustness, can predict under different construction temperatures and vibrating compaction work conditions, can predict the pavement compaction degree in real time, and the prediction result is reliable.

The invention relates to the technical field of data processing, in particular to a method for calculating the abrasion loss of tread rubber under a wide-temperature-range complex working condition, which comprises the following steps of: processing each parameter by utilizing dimensionless analysis, and constructing a first dimensionless group and a second dimensionless group so as to eliminate dimensional interference and quantify the synergistic effect of mechanical load and material performance. On the basis of temperature data, parameters of a temperature correction function are fitted through a variable-temperature wear experiment, and the nonlinear attenuation rule of the viscoelasticity of the rubber along with the temperature change is accurately represented. And integrating the dimensionless group, the product of the hardness parameter and the dynamic modulus and the temperature correction function into a thermal and mechanical coupling integral model to realize dynamic coupling and synchronous calculation of the multi-physical field parameters. Finally, the abrasion loss is output through the model, the limitation of parameter decoupling in an existing method is overcome, and prediction precision and model adaptability are remarkably improved.

This invention provides a method for calculating the critical point of fatigue damage in full-thickness asphalt pavement, relating to the field of road engineering technology. The invention first divides the full-thickness asphalt pavement into multiple sub-layers, then obtains its annual temperature field and annual axle load spectrum, determines the temperature model of the full-thickness asphalt pavement and the number of equivalent axle load applications per hour, and combines laboratory test results to obtain the dynamic modulus calculation equations and multi-temperature fatigue equations for each sub-layer. The temperature of each sub-layer is obtained using the full-thickness asphalt pavement temperature model, and the dynamic modulus value of each sub-layer is determined using the dynamic modulus calculation equations. Then, the flexural strain response of each sub-layer is calculated based on its dynamic modulus value, and its fatigue life is calculated using the multi-temperature fatigue equations for each sub-layer. Combined with the number of equivalent axle load applications per hour, the fatigue damage value of each sub-layer is calculated and accumulated to obtain the cumulative fatigue damage of each sub-layer in the full-thickness asphalt pavement, accurately obtaining the critical damage point of the full-thickness asphalt pavement.

The application relates to a material-equipment collaborative crack repair design method and equipment based on fusion digital twinning, and the method comprises the following steps: establishing an electromagnetic-thermal field coupling model to obtain a pavement temperature field distribution, the electromagnetic-thermal field coupling model being a system combined by a microwave heating device, an asphalt pavement, a crack and a repair material; based on the mapping relationship between the pavement temperature and the dynamic modulus, a pavement compaction model under the action of a road roller is established through finite element simulation; actual pavement parameters are obtained, and the key parameter combination of the crack repair material and the microwave heating device is inversed and optimized according to the pavement compaction model, the key parameter combination comprising an electromagnetic loss parameter E, a heating power W, a heating width b and a heating time t; and the crack repair material and the microwave heating device are designed based on the finally selected key parameter combination. Compared with the prior art, the application has the advantages of precise repair, convenient construction, high repair efficiency, small environmental disturbance and the like.

The invention relates to a stress control dynamic loading characterization method for molecular-scale mechanical behaviors of an asphalt material, which comprises the following steps: obtaining an initial configuration based on an asphalt multi-component test result; the atomic velocity is reconfigured according to the target temperature, so that the asphalt material system is in a preset thermodynamic state before loading; periodic sine stress is applied to an asphalt material system, each level of stress is sequentially subjected to short-time balance and data acquisition, stable stress-strain response is obtained in real time, and a response sequence is obtained; extracting a dynamic modulus through frequency domain transformation, and constructing a main curve according to a time-temperature equivalence principle; the amplitude of the stress is increased step by step, and dynamic modulus attenuation and energy dissipation are continuously monitored, so that the viscoelasticity and damage evolution stage is judged. Compared with the prior art, the mechanical response of an asphalt molecular system at different temperatures, loading frequencies and stress levels can be systematically and stably captured, and a solid theoretical basis and technical support are provided for asphalt material cross-scale mechanical modeling and performance prediction.

This invention relates to the field of tire manufacturing technology, and more particularly to a low-deformation rubber composition for tire buffer layers based on bimodal SSBR, a mixing method, and a tire. Based on 100 parts by weight of the rubber components, it includes natural rubber, first and second non-oil-extended polystyrene-butadiene rubbers (BF2055H / L), polybutadiene rubber, and additives such as highly dispersed silica, carbon black, silane coupling agents, and α-methylstyrene resin. BF2055H / L has a 20% styrene content, 55% vinyl content, and a bimodal molecular weight distribution, synergistically improving the dynamic modulus distribution of the rubber and the uniformity of filler dispersion. The mixing process is optimized to achieve efficient reaction and uniform distribution of SiO2 with the rubber. Experiments have shown that, without sacrificing hardness and handling performance, this composition can achieve tanδ (60℃) ≤0.071, M300 controlled at 6.8-7.2 MPa, and DIN abrasion ≤99 mm. 3 Compression permanent deformation ≤30%, flexural life >2.0×10 5 Its overall performance is significantly better than existing oil-filled buffer layer formulations, and it has excellent fuel efficiency, comfort, and process adaptability.

The application discloses a kind of asphalt pavement material dynamic-static modulus conversion models based on tension-compression difference.The model is by testing asphalt mixture and semi-flexible pavement material under different loading frequency or different loading rate tension-compression dynamic, static modulus respectively constructs the correlation model of static modulus-loading rate and dynamic modulus-loading frequency, then based on equivalent principle, constructs the correlation model of dynamic modulus-equivalent loading rate, again with static modulus-loading rate correlation model fitting, namely obtains.The conversion model structure is clear, data source is wide, easy to operate, and effectively combines theoretical model and experimental data, comprehensively reflects the correlation between loading rate and tension-compression dynamic-static modulus, with wide application range and accuracy, and has important guiding significance to asphalt pavement structure design.

The application discloses a kind of asphalt pavement structure dynamic modulus sampling method based on measured temperature field, it is related to road engineering technical field.The method of the present application is based on the measured temperature history data of active asphalt pavement structure measured by asphalt pavement long-term performance observation network according to the design scheme of the asphalt pavement structure to be laid, the temperature field history data set is constructed, the temperature field history data set is updated by numbering and reassigning to measured temperature history data, the frequency of the same group temperature history data is counted, the cumulative probability distribution curve is generated, the temperature distribution characteristics inside active asphalt pavement structure are obtained, then temperature data sample is generated using inverse function sampling and regression fitting analysis, the internal temperature field of the asphalt pavement structure to be laid is calculated with dynamic modulus master curve to obtain the dynamic modulus of the asphalt pavement structure to be laid.The present application carries out temperature field sampling based on actual physical conditions, and realizes the accurate restoration of the mechanical characteristics of asphalt pavement structure under complex temperature environment.

The invention relates to the technical field of tire manufacturing, in particular to a low-hysteresis high-durability tire cord fabric rubber composition, a mixing method and a tire. 100 parts by weight of rubber components comprise natural rubber, first and second oil-free solution polymerized styrene-butadiene rubber (BF2055H / L), and auxiliary agents such as carbon black. Wherein BF2055H / L has the content of 20% of styrene and 55% of vinyl and bimodal molecular weight distribution, and the dynamic modulus distribution of the rubber and the dispersion uniformity of the filler are synergistically improved. Experiments prove that on the premise that the hardness and the bearing capacity are not sacrificed, the composition can achieve the comprehensive performance that tan delta (60 DEG C) is smaller than or equal to 0.088, the bonding strength is larger than or equal to 12.2 Nmm <-1 >, the DIN abrasion is smaller than or equal to 114 mm < 3 > and the torque of a rubber master batch section is controlled to be 68-72 N.m, the composition is remarkably superior to an existing oil-filled formula, and the composition has the excellent combustion efficiency, durability and process adaptability.

The invention provides a quantitative evaluation and prediction method and system for pavement-tire vibration noise, and relates to the technical field of pavement material design, and the method comprises the steps: obtaining pavement surface texture data; obtaining viscoelastic characteristic parameters through a dynamic modulus test; constructing a pavement-tire-air coupling finite element model; setting tire rolling working conditions including applied load, rolling speed and contact conditions, executing pavement-tire dynamic simulation, extracting vertical displacement time history data of the tire in the rolling process, and calculating a noise reduction quantitative index representing the pavement noise reduction capability; applying the vertical displacement time history data to the three-dimensional tire model as a forced displacement boundary condition, executing tire-air acoustic simulation, extracting a sound pressure signal of vibration noise, and performing frequency domain processing to obtain a predicted noise level; and evaluating the noise reduction performance of the pavement test piece with different surface textures and viscoelastic characteristic parameters based on the quantitative index and the noise level, and outputting a pavement material composition result with the optimal noise reduction capability.

The application discloses a kind of polymer rheological property prediction method and system based on global optimization, to solve the problems that traditional rheological data exists apparent physical deviation, engineering constitutive parameter step fitting is easy to fall into local optimum and microstructure feature is difficult to quantify.The method first obtains the apparent data of polymer in multiple temperature zones steady shearing and dynamic oscillation;Then, based on Rabinowitsch equation, polynomial differential correction is carried out, and the deviation of pipe wall velocity distribution is eliminated to extract the real physical viscosity;Subsequently, a Cross-WLF three-dimensional space model containing temperature and shear rate is constructed, and Levenberg-Marquardt algorithm is used to perform global nonlinear iterative optimization, and the kinetic and thermodynamic constants are extracted in one step;At the same time, dynamic modulus data is introduced to perform Cox-Merz rule self-consistency verification, and a multi-dimensional diagnostic atlas matrix is constructed.The application breaks the limitation of traditional single-temperature zone fitting, and realizes the automatic extraction of high-precision mold flow simulation parameters and the accurate diagnosis of material microphase separation.

Method of dynamic mechanical analysis of a sample including providing a magnet with a constant gradient where at least a portion of the sample is in the constant gradient, inducing a vibration in the sample in the direction of the constant gradient, the vibration comprising a vibration waveform and a vibration period, generating an NMR pulse sequence comprising at least two pulses with a delay between the pulses, acquiring echos from the pulse sequence at multiple points along the vibration period, measuring the phase of the NMR signal at each of the acquired echos, using the phase of the NMR signal to measure the velocity of the vibration at the multiple points where the echos are acquired, using the velocity measurements to acquire a velocity waveform, and using the velocity waveform and processing the velocity waveform to extract the loss angle and the magnitude of the dynamic modulus of the sample.

The invention provides a test method and device for an ultrasonic triggering microcapsule asphalt pavement, and the method comprises the steps: carrying out the ultrasonic triggering tests of different frequencies and powers on each pre-test sample, and collecting the ultrasonic echo data of each pre-test sample in each ultrasonic triggering test process; extracting a plurality of trigger data from all the ultrasonic echo data based on the trend characteristics of all the ultrasonic echo data; identifying a triggering point of microcapsule triggering fracture in each triggering data, and determining a triggering lower limit of the microcapsule in the target asphalt pavement based on all the triggering points; performing a fatigue cycle test on each main test sample based on the trigger lower limit, and collecting dynamic modulus data of each main test sample after each round of fatigue cycle; and determining the self-healing rate of the target asphalt pavement according to all dynamic modulus data in the fatigue cycle test. By adopting the scheme of the invention, the adaptive ultrasonic parameters in the test can be set according to the ultrasonic transmission characteristics in different pavements.