41 results about "Dynamic elastic modulus" patented technology

The invention relates to the technical field of control of manufacturing units, in particular to a composite material rod piece winding tension dynamic compensation control method and system. The method comprises the following steps of: calculating an instantaneous linear velocity pulsation quantity caused by the change of a non-circular section contour of a core mold at each moment; according to the dynamic elastic modulus and the equivalent viscosity coefficient, calculating a phase correction factor for representing the viscoelastic response lag of the prepreg tape at each moment; based on the instantaneous linear velocity pulsation quantity and the phase correction factor at each moment, a dynamic compensation torque instruction is obtained, and the dynamic compensation torque instruction is in negative correlation with the phase correction factor; and the dynamic compensation torque instruction is output to the tension unwinding motor, so that the adjustment of winding tension is realized, the accuracy of tension dynamic compensation control is effectively improved, and the product quality is effectively improved.

The invention provides a method and a system for predicting the durability of an underwater non-dispersible concrete structure, and relates to the technical field of material engineering. Respectively measuring an anti-permeability vector consisting of an unsteady state chloride ion migration coefficient, an anti-permeability grade and an oxygen permeation coefficient, a freezing resistance vector consisting of a mass loss rate and a dynamic elastic modulus retention rate, and a corrosion resistance vector consisting of a mass change rate in a sulfate environment, the dynamic elastic modulus retention rate and a corrosion rate in a carbonic acid environment; a fitting formula among impermeability, freezing resistance and corrosion resistance is constructed based on a known high-durability concrete sample, and by calculating the decoupling degree of each vector combination of the concrete sample relative to the high-durability concrete sample, multi-parameter collaborative evaluation and accurate prediction of the durability of the concrete structure are realized.

The invention relates to the technical field of concrete durability evaluation, in particular to a compound green concrete salt freezing resistance durability evaluation system under a frozen soil environment, which comprises a data input unit, a decision information table storage unit, a rough set analysis processing unit and an evaluation output unit, the data input unit receives a sample data set containing freeze-thaw cycle times, dry-wet cycle times, freeze-thaw-dry-wet cycle times, long-term soaking time, composite salt concentration, gas content and fly ash mixing amount, and the decision information table storage unit stores a decision information table constructed based on a rough set theory. The influence factor combination and the relative dynamic elastic modulus percentage are associated, the rough set analysis processing unit establishes a mapping relation through attribute reduction and rule extraction and quantifies the weight of each factor, and the evaluation output unit outputs a relative dynamic elastic modulus predicted value, durability grade classification and key factor contribution sorting. And the salt freezing resistance durability of the concrete under the multi-factor coupling effect is accurately evaluated.

This invention provides a method, system, and equipment for optimizing the mix proportions of rubber concrete, belonging to the interdisciplinary field of building materials design and artificial intelligence. The method includes: constructing a high-precision prediction model for compressive strength and relative dynamic elastic modulus using Bi-LSTM, which serves as the fitness function during the optimization process. Furthermore, three optimization objectives are introduced. NSGA-III is enhanced by introducing chaotic perturbations and an adaptive evolution mechanism, thereby improving the convergence and diversity of the solution set in the high-dimensional objective space. Based on this, a three-objective optimization framework involving compressive strength, cost, and relative dynamic elastic modulus is established, enabling a coordinated balance among these three objectives in the mix proportion design of rubber concrete. This method solves the problem of insufficient optimization of rubber concrete mix proportions.

The invention discloses a power transmission and transformation project rock-soil body mechanical property in-situ test landslide stability evaluation device, which comprises a multi-frequency sound wave excitation module, a sound wave characteristic acquisition module, a multi-electrode array measurement module, a mechanical parameter coupling analysis module, a landslide stability dynamic evaluation module and a parameter adaptive optimization module, a dynamic elastic modulus and a dynamic Poisson's ratio are obtained through sound wave propagation characteristic testing, resistivity three-dimensional distribution is obtained through georesistivity tomography, the dynamic elastic modulus and the dynamic Poisson's ratio are innovatively coupled to determine water saturation and shear strength parameters, landslide stability is dynamically evaluated based on the shear strength parameters, and an early warning signal is output. According to the method, the lossless rapid testing of the mechanical property of the rock-soil body and the dynamic evaluation and early warning of the landslide stability are realized.

The application discloses a method for determining the flexural strength of concrete after freeze-thaw cycles, and comprises the following steps: measuring the dynamic elastic modulus of the concrete; taking the dynamic elastic modulus, the initial flexural strength of the concrete, the flexural strength loss coefficient and the air pressure influence coefficient as inputs, and calculating the flexural strength of the concrete based on a flexural strength prediction formula; the application analyzes the dynamic elastic modulus and the flexural strength of the concrete, establishes the relationship between the dynamic elastic modulus and the flexural strength of the concrete with the increase of the freeze-thaw cycle times, proposes a prediction formula for the flexural strength of the concrete after freeze-thaw cycles, so that the dynamic elastic modulus of the concrete only needs to be detected, and the flexural strength can be obtained through corresponding calculation, damage to the existing concrete during measurement is avoided, and nondestructive testing of the concrete is realized.

The invention discloses a nondestructive testing method for an exposure test of a concrete structural member, which comprises the following steps of: pre-embedding a sensor for detection in the concrete member, and acquiring detection data of the concrete member under the condition of alternate change of salt water and fresh water in real time; calculating by using data of an ultrasonic detector to obtain relative dynamic elastic modulus change characteristics; a high-resolution optical camera system and a three-dimensional laser scanner are adopted to quantify concrete member denudation area distribution characteristic information; a concrete member degradation model and a bearing capacity calculation model under the salt and fresh water alternating change condition are established, and the remaining service life of the concrete member in the salt and fresh water alternating environment is predicted according to a set failure standard; integrating and storing various detection data obtained in the whole exposure test process, and establishing a database; through multi-modal data association analysis, a synergistic effect mechanism of the concrete member in a salt-fresh water alternating environment is disclosed, a data footstone is provided for cross-sea-area engineering, and nondestructive testing of the exposure test of the concrete structural member is realized.

The invention discloses a method for determining anisotropic horizontal principal stress of a sand-mud interbed. The method comprises the steps that on the basis of logging data, under the assumption of a stratum transverse isotropic medium, longitudinal and transverse wave velocities perpendicular to and parallel to the stratum direction at the specified depth and longitudinal wave velocities in the direction forming a specified included angle with the stratum are determined; determining the rigidity modulus at the specified depth based on the first relation expression of the wave velocity and the rigidity modulus; determining the dynamic Poisson's ratio and the elastic modulus in the direction based on the second relation expression of the rigidity modulus and the dynamic Poisson's ratios and the elastic moduli in the direction parallel to and perpendicular to the stratum; converting the dynamic elastic modulus and the Poisson's ratio in the direction parallel to and perpendicular to the stratum into the static elastic modulus and the Poisson's ratio in the direction; and determining anisotropic horizontal principal stress at a specified depth by using a transverse isotropic stratum ground stress model based on the static elastic modulus and Poisson's ratio in parallel and vertical stratum directions. The calculation accuracy of the anisotropic rock mechanical parameters and the horizontal principal stress can be improved.

The application discloses a kind of based on building ground settlement intelligent detection method and system, it is related to ground settlement detection technical field, by the pre-processing of original feature dataset RAW, obtain reliable standard feature dataset SFD, lay high-quality data foundation for subsequent accurate analysis.Based on average longitudinal wave velocity AVG_V p The dynamic elastic modulus Ed of the pile body is calculated, and the elastic compression amount S caused by the load of the pile body is calculated according to the dynamic elastic modulus Ed p , and the quantitative separation of the deformation of the pile body itself is realized. The soil settlement amount S t is separated from the average total ground settlement amount AVG_S o , and the multi-dimensional risk index F reflecting the comprehensive risk is calculated by combining the soil settlement rate T_S v in the current detection period, and the clear decision instruction Air is generated by comparing the risk index F with the preset risk threshold interval θ. Finally, the feedback calibration mechanism of man-machine combination is established, and the long-term reliability of the precise grading early warning and system judgment ability is realized.

The invention relates to the technical field of roadbed continuous compaction detection, and discloses a calibration method of roadbed continuous compaction detection equipment, which comprises the following steps: combining a plurality of rubber pads with different hardness and thickness to obtain a simulation test system; s2, testing the dynamic elasticity modulus of the plurality of rubber cushion layers to verify the rigidity uniformity and continuous variability of the rubber cushion layers; s3, performing in-situ single-point vibration test on the simulation test system, acquiring a steel wheel vibration acceleration signal by means of roadbed continuous compaction detection equipment, preprocessing the acquired signal, and calculating a continuous compaction detection index needing to be calibrated; and S4, taking the mean value of the dynamic elastic modulus of the rubber cushion layer as an equivalent stiffness reference value, and fitting the correlation between the index to be calibrated and the dynamic elastic modulus by adopting a regression analysis method so as to obtain a calibration curve. According to the method, a more accurate and universal calibration result can be provided for roadbed compaction quality detection equipment, the calibration efficiency is improved, and the calibration cost is reduced.

The application discloses a kind of hybrid fiber reinforced geopolymer concrete dynamic growth factor prediction method and system, it is related to composite material technical field, including: based on the ratio of dynamic peak stress and quasi-static peak stress under given strain rate, obtain initial peak stress growth factor;Based on the ratio of dynamic elastic modulus and static elastic modulus, obtain the dynamic increase coefficient of concrete elastic modulus;In the case where static compression test piece size and dynamic compression test piece size are consistent, analyze the influence of fiber combination mode, fiber type and content and strain rate on the dynamic performance of test piece;Introduce the secondary fitting of fiber characteristic parameter to initial peak stress growth factor, obtain the modified peak stress growth factor;The dynamic increase coefficient of concrete elastic modulus is fitted by linear function, and the modified elastic modulus growth factor and critical strain rate are obtained.The application can accurately predict the dynamic growth factor of hybrid fiber reinforced geopolymer concrete, and then obtain the impact resistance of material.

The application discloses a kind of water-rich soft ground deep-buried underground water conveyance tunnel exterior grouting effect detection evaluation method, and relates to the technical field of tunnel engineering.The core is "laboratory verification-site detection-numerical evaluation", first through field soil sampling, dynamic triaxial test and grouting model construction, combined with nondestructive testing to establish "detection result-solid information-dynamic elastic modulus" mapping relationship;Then in situ test, impact image method and high-density surface wave method are used in engineering site, at grouting key node detection and quantization detection result and elastic modulus correlation, obtain static elastic modulus;Finally, according to design data, simulation model is built, bolt stress, transverse joint opening amount and shock subsidence displacement are calculated to determine grouting effect.The application organically integrates the three, forms a complete technical system, realizes water-rich soft ground deep-buried underground water conveyance tunnel grouting effect nondestructive accurate evaluation, and provides guarantee for engineering quality and operation safety.

The invention discloses a method for detecting and evaluating the external grouting effect of a water-rich soft foundation deeply-buried underground water conveying tunnel, and relates to the technical field of tunnel engineering. The method comprises the following steps: by taking laboratory verification-field detection-numerical evaluation as a core, firstly, through field soil body sampling, dynamic triaxial test and grouting model construction, establishing a mapping relationship of detection result-entity information-dynamic elastic modulus in combination with nondestructive detection; detecting and quantifying correlation between a detection result and an elastic modulus at a grouting key node by using an in-situ test, an impact mapping method and a high-density surface wave method on an engineering site to obtain a static elastic modulus; and finally, building a simulation model according to design data, and calculating bolt stress, transverse joint opening amount and seismic collapse displacement to judge the grouting effect. According to the method, the three parts are organically fused to form a complete technical system, lossless accurate evaluation of the grouting effect of the water-rich soft foundation deeply-buried underground water conveying tunnel is achieved, and guarantee is provided for engineering quality and operation safety.

The application discloses a soft rock tunnel simulation parameter assignment method considering surrounding rock unloading and supporting characteristics, and specifically comprises the following steps: tunnel excavation and supporting processes are simulated by using FLAC numerical software; in view of the unloading expansion of surrounding rock and the limit characteristics of the supporting structure, the state of the unit is determined in real time in calculation, and the z_prop function in the FISH language is used to assign parameters to the rock mass and the structural unit; the unloading expansion phenomenon of the surrounding rock is simulated by introducing a dynamic elastic modulus, and real-time adjustment is performed in the calculation process; the supporting effect of the structural unit is simulated by introducing a dynamic elastic modulus, and the limit bearing characteristics of the support are considered in the calculation; and a dynamic constitutive relation is introduced to simulate the yielding unit. The application considers the influence of the unloading expansion of the surrounding rock and the limit characteristics of the supporting structure, and realizes relatively accurate numerical simulation calculation of tunnel engineering.

The application discloses a geopolymer concrete freeze-thaw durability detection method, device and medium. The method synchronously collects macroscopic dynamic elastic modulus and microscopic infrared spectrum data through design of a freeze-thaw cycle experiment, constructs N-A-S-H gel skeleton damage sequence and microscopic topological structure stability model, fuses multi-scale data to calculate correlation factors to evaluate comprehensive damage, and finally realizes freeze-thaw durability grade classification, thereby solving the problem that traditional methods are not sensitive to early microscopic damage.

The application discloses a kind of substation concrete foundation evaluation methods, it is related to substation technical field, including: the surface environmental parameter of reinforced concrete deck slab is collected, including chloride ion, sulfate ion and carbonate ion etc.;While measuring deck slab protection cap thickness;Reinforced concrete deck slab is located above 3 PHC pipe piles;The best frequency of vibration measuring device is calibrated by test;Under the calibration of best frequency, the dynamic detection and analysis of the bearing capacity of reinforced concrete deck slab is carried out by vibration measuring device, and the bearing deviation index Yz of reinforced concrete deck slab is calculated according to the maximum dynamic elastic modulus Ed and crack detection result;The surface environmental parameter measured, deck slab protection cap thickness and bearing deviation index Yz are input data of life evaluation model, and the life prediction data corresponding to reinforced concrete deck slab is obtained;It improves prediction efficiency and accuracy;To improve regional decision efficiency.

The invention provides an electric porcelain material tensile constitutive model construction and application method and system, and the method comprises the steps: introducing a damage variable item and a strain rate effect item based on Weibull distribution; determining the relationship between the dynamic elastic modulus and the strain rate of the electroceramic material and the relationship between the shape parameters of the Weibull distribution and the strain rate by combining a constitutive relationship test curve under the medium-high strain rate, and constructing a tensile constitutive model of the electroceramic material; according to the method and the system, a damage variable item and a strain rate effect item are introduced, a constitutive relation test curve under the medium-high strain rate is combined to construct a tensile constitutive model of the electroceramic material, the influence of the strain rate is considered, and the dynamic tensile constitutive relation of the electroceramic material under the medium-high strain rate is obtained; parameters in the model construction process depend on test results, and the precision is high; the high-precision tensile constitutive model of the electroceramic material is used for carrying out tensile analysis on the electroceramic material, so that an anti-seismic calculation analysis result which is subsequently carried out by utilizing a tensile analysis result is more accurate.

The invention relates to the technical field of rebound modulus monitoring, in particular to a dynamic monitoring method, system and equipment for roadbed rebound moduli, and the method comprises the following steps: aiming at each working condition, preparing a plurality of groups of soil body samples, respectively carrying out multi-stage loading dynamic triaxial tests on the soil body samples, and generating hysteretic curves of various strain grades; obtaining a discrete coefficient of each soil body sample at each strain grade, correcting an initial dynamic elastic modulus extracted from the hysteretic curve, and establishing a nonlinear constitutive model responding to the soil body state change; generating a simulation data set comprising a plurality of feature vectors and resilience moduli thereof, wherein the simulation data set is used for training an ensemble learning model; and in a roadbed construction site, according to the obtained feature vectors, predicting the rebound modulus by using the integrated learning model, and evaluating the compaction quality of the roadbed. According to the invention, the accuracy of monitoring the rebound modulus of the roadbed in real time is improved.

The invention relates to a wood mechanical property prediction method, system and device based on standing tree stress wave data and a medium, and the method comprises the steps: obtaining standing tree longitudinal wave velocity data, living wood density, standing tree water content, forest germplasm and tree age; the method comprises the following steps: triggering node defect screening on standing timber longitudinal wave velocity data based on wave velocity gradient abrupt change response, performing correction in combination with water content, outputting standard longitudinal wave velocity data, performing boundary effect compensation, generating log equivalent wave velocity, performing gradient correction in combination with a radial space distribution relationship between a detection node and a pith, and outputting a corrected wave velocity parameter; and constructing a dynamic elastic modulus prediction model through multi-source coupling, predicting and outputting a dynamic elastic modulus, converting the dynamic elastic modulus into a static reference modulus, conditionally introducing a tree age attenuation factor to apply correction, and obtaining a final static elastic modulus. According to the method, through the coupling analysis and dynamic correction mechanism of the multi-source stress wave data, the precision and applicability of mechanical property prediction of the standing tree are remarkably improved.

The invention belongs to the technical field of concrete beam service life prediction, and particularly relates to a BFRP rib seawater and sea sand concrete beam service life prediction method under repeated loads. Initial performance parameters of the BFRP bar seawater and sea sand concrete beam are obtained through a standard mechanical test; the method comprises the following steps: measuring the ultrasonic propagation velocity of the BFRP bar seawater sea sand concrete beam before damage and after repeated loading by adopting an ultrasonic nondestructive testing technology, and defining the relative dynamic elastic modulus of the BFRP bar seawater sea sand concrete beam; determining the actually measured strength of a bending area after the BFRP stirrup is subjected to erosion and repeated loading; calculating the residual shear bearing capacity of the BFRP bar seawater and sea sand concrete beam; and presetting failure criteria of the BFRP bar seawater sea sand concrete beam, and judging and predicting the service life. According to the method, damage evolution of concrete under repeated loads is quantitatively represented, a strength degradation model of a BFRP stirrup bending area is established, the attenuation relation of the beam shear bearing capacity along with the number of cyclic loads is established, and reliable prediction of the residual life of the BFRP bar seawater sea sand concrete beam in the service stage is achieved.

The application discloses a long-life anti-freeze-thaw-cycle concrete life prediction method and system, and belongs to the field of concrete performance evaluation, and comprises the following steps: S1, performing an accelerated freeze-thaw test; S2, synchronously collecting the dynamic elastic modulus, mass loss rate, volume change, internal pore structure change and infrared thermal image characteristics of a standard test piece; S3, constructing a digital twin three-dimensional model based on a multidimensional data set; S4, extracting the freeze-thaw cycle number, dynamic elastic modulus evaluation parameter, mass loss rate, porosity change rate and infrared thermal image temperature field uniformity index as input characteristics, taking the concrete residual life as a training label, and training a machine learning prediction model; and S5, inputting the real-time monitored multidimensional data into the trained machine learning prediction model, and outputting the real residual life. The long-life anti-freeze-thaw-cycle concrete life prediction method and system realize accurate prediction of the residual life of concrete under a freeze-thaw environment.

The present application relates to the technical field of manufacturing unit control, and particularly relates to a composite rod winding tension dynamic compensation control method and system. The method comprises the following steps: calculating the instantaneous linear velocity fluctuation caused by the non-circular cross-section profile change of the mandrel at each moment; calculating a phase correction factor for representing the viscoelastic response lag of the prepreg tape at each moment according to the dynamic elastic modulus and the equivalent viscous coefficient; obtaining a dynamic compensation torque instruction based on the instantaneous linear velocity fluctuation and the phase correction factor at each moment, the dynamic compensation torque instruction being negatively related to the phase correction factor; and outputting the dynamic compensation torque instruction to a tension unwinding motor to adjust the winding tension, thereby effectively improving the accuracy of the tension dynamic compensation control and the quality of the product.

The invention relates to an in-situ rock mass deformation modulus calculation method, which comprises the following steps: based on a data set containing a rock name, an elastic longitudinal wave speed and a deformation modulus, in combination with a relationship between a dynamic elastic modulus and density, a Poisson's ratio and the longitudinal wave speed, through an interval number operation rule, obtaining a relationship between a rock mass dynamic / static modulus ratio and the deformation modulus; calculating the theoretical relationship between the longitudinal wave velocity and the dynamic elastic modulus, density and Poisson's ratio of the complete rock mass and the jointed rock mass, and calculating the normalized damage degree of the in-situ rock mass through a binary function operation rule according to the principle that the ratio of the dynamic elastic modulus to the static elastic modulus between the complete rock mass and the jointed rock mass is equal; and calculating the P-wave modulus of the complete rock mass, and correcting the P-wave modulus to obtain the deformation modulus of the in-situ rock mass. The method is based on theoretical derivation instead of a specific engineering data set, so that the method can be suitable for different types of rock masses; and the secondary influence of density and Poisson's ratio is considered at the same time, so that the damage degree quantification is more accurate.

The utility model provides a hammering mechanism for detecting the dynamic elastic modulus of a wood / bamboo full-size plate, which can automatically knock the plate, a rubber hammer can quickly leave the plate after knocking, the knocking force of the rubber hammer can be adjusted, and the hammering mechanism comprises a shifting fork, a hammer handle, the rubber hammer, a mounting plate, a knocking motor, a pivot, an electromagnet, a magnet and a swing rod, one end of the hammer handle fixes the rubber hammer, and the other end is rotatably arranged on the mounting plate through a pivot; the shifting fork rotates on the mounting plate and is connected with the knocking motor; the electromagnet is fixed on the mounting plate, and the magnet is arranged on the hammer handle; the two ends of the first tension spring are connected with the mounting plate and the hammer handle respectively, when the electromagnet loses power and the first tension spring is in a normal state, the hammer handle rotates around the pivot to the state that the rubber hammer makes contact with the plate, and at the moment, the electromagnet and the magnet are staggered. When the electromagnet is electrified, the magnet on the hammer handle is attracted by the electromagnet and is opposite to the electromagnet, and the hammer handle is in a state that the rubber hammer is not in contact with a plate; the hammer handle is provided with a swing rod extending towards the shifting fork.

The application discloses a deep coal bed gas reservoir high brittleness sweet spot area prediction method, system and equipment, relates to the oil and gas and coal bed gas geophysical exploration field, and the method comprises the steps of: taking dynamic elastic modulus as the independent variable, taking coal bed fracture pressure as the dependent variable, adopting a multiple linear regression method to perform fitting, determining a partial regression coefficient, and thereby constructing a brittleness index model; based on original data of a target area deep coal bed gas reservoir, adopting prestack simultaneous inversion technology and rock physical formula to perform inversion and calculation, obtaining a three-dimensional dynamic Young's modulus data body, a three-dimensional dynamic Poisson's ratio data body and a three-dimensional dynamic shear modulus data body, and substituting into the brittleness index model to obtain a three-dimensional brittleness index data body; according to a brittleness index threshold, dividing a region corresponding to the three-dimensional brittleness index data body to determine a high brittleness sweet spot area. The application can improve the accuracy of predicting the high brittleness sweet spot area of the deep coal bed gas reservoir.

The application discloses a deep coal bed gas reservoir high brittleness sweet spot area prediction method, system and equipment, relates to the oil and gas and coal bed gas geophysical exploration field, and the method comprises the steps of: taking dynamic elastic modulus as the independent variable, taking coal bed fracture pressure as the dependent variable, adopting a multiple linear regression method to perform fitting, determining a partial regression coefficient, and thereby constructing a brittleness index model; based on original data of a target area deep coal bed gas reservoir, adopting prestack simultaneous inversion technology and rock physical formula to perform inversion and calculation, obtaining a three-dimensional dynamic Young's modulus data body, a three-dimensional dynamic Poisson's ratio data body and a three-dimensional dynamic shear modulus data body, and substituting into the brittleness index model to obtain a three-dimensional brittleness index data body; according to a brittleness index threshold, dividing a region corresponding to the three-dimensional brittleness index data body to determine a high brittleness sweet spot area. The application can improve the accuracy of predicting the high brittleness sweet spot area of the deep coal bed gas reservoir.

The invention discloses a full-automatic control method and system of a pretreatment open-width all-in-one machine, and relates to the field of all-in-one machine automatic control, and the method comprises the steps: firstly obtaining the liquid rate, temperature and operation state data of a fabric in real time, and constructing a fabric state feature vector; and analyzing the vector by using a rheological model, and accurately estimating the dynamic elastic modulus of the fabric in the humid and hot environment. On the basis, the optimal tension reference value matched with the current physical state is dynamically calculated, traditional constant tension setting is replaced, and a motor torque instruction is solved by combining a feedforward and impedance composite control algorithm. Therefore, by sensing the physical property change of the fabric in real time and pre-judging and adjusting the tension threshold value, the problem of dynamic tension mismatching caused by feedback lag and model singleness in the prior art is solved, and dead creases of the high-density fabric in the processing process are effectively avoided.

The invention relates to a device which can be easily integrated into a drying oven or high-temperature furnace (18), and which enables the determination of the dynamic elastic modulus of materials at the desired temperature.

A front tyre (1) for motorcycle wheels is described comprising an equatorial plane (X-X), and a tread band (8) having an overall axial extension (L) and comprising a radially inner portion (12) made with a first vulcanized elastomeric material and a radially outer portion (11) comprising: a1) a central annular portion (L1) arranged astride the equatorial plane (X-X) of the tyre (1) and made with the first vulcanized elastomeric material, and a2) a pair of lateral annular portions (L2, L3) arranged at opposite sides of the central annular portion (L1) with respect to the equatorial plane (X-X) of the tyre (1) and made with a second vulcanized elastomeric material. In the tyre (1), a ratio RI between the dynamic elastic modulus E′ of the second vulcanized elastomeric material, measured at a frequency of 10 Hz and at 23° C., and the dynamic elastic modulus E′ of the first vulcanized elastomeric material, measured at a frequency of 10 Hz and at 23° C., is comprised between 0.6 and 1.2. In the tyre (1), a ratio R2 between the tandelta of the second vulcanized elastomeric material, measured at a frequency of 10 Hz and at 70° C., and the tandelta of the first vulcanized elastomeric material, measured at a frequency of 10 Hz and at 23° C., is comprised between 0.6 and 1.2.