8 results about "Dynamic elastic modulus" patented technology

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 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 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 relates to the technical field of resilience modulus monitoring, in particular to a dynamic monitoring method, system and equipment for resilience modulus of a roadbed, which comprises the following steps: for each working condition, preparing multiple groups of soil sample, respectively performing multistage loading dynamic triaxial tests on the soil sample, and generating hysteresis curves of each strain level; obtaining discrete coefficients of each soil sample at each strain level, correcting initial dynamic elastic modulus extracted from the hysteresis curves, and establishing a nonlinear constitutive model responding to state changes of the soil; generating a simulation data set containing multiple characteristic vectors and resilience modulus thereof, and using the simulation data set to train an integrated learning model; and at a roadbed construction site, using the integrated learning model to predict the resilience modulus according to the obtained characteristic vectors, and evaluating the compaction quality of the roadbed. The application improves the monitoring accuracy of the resilience modulus of the roadbed in real time.

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.

The present application belongs to the field of tunnel and underground engineering geological survey and safe construction technology. A tunnel surrounding rock compressive strength evaluation method and system are proposed. The sound wave waveform travel time data and drilling process parameters in the tunnel advanced geological drilling construction process are obtained. The longitudinal wave velocity and transverse wave velocity are calculated based on the sound wave waveform travel time data, and then the dynamic elastic modulus, dynamic Poisson's ratio and rock integrity coefficient are calculated in combination with the rock density. The mechanical specific energy is calculated based on the drilling process parameters. With the drilling depth as the unified spatial coordinate axis, all the above parameters are aligned to the same depth point set to construct a multi-source fusion feature vector. The multi-source fusion feature vector is input into the preset surrounding rock compressive strength calculation model to obtain the continuous prediction profile of the surrounding rock compressive strength along the drilling depth. The present application realizes the rapid, continuous and high-precision evaluation of the tunnel surrounding rock compressive strength by fusing the multi-dimensional information of sound wave testing and drilling parameters, and provides a reliable basis for tunnel support design.

This invention relates to the field of concrete durability testing technology, specifically to a concrete life analysis system and method for saline environments. The system includes: an environmental simulation module configured to perform immersion-drying cycles on concrete specimens and create a corrosive environment; a parameter acquisition module used to detect the relative dynamic elastic modulus and pore size distribution data of the concrete under load; a concentration analysis module configured to calculate the chloride ion concentration on the concrete surface based on the diffusion law; and a life prediction module used to generate life analysis results based on the effective thickness of the protective layer and the critical value of steel reinforcement corrosion. This invention solves the problem of traditional methods' difficulty in accurately simulating the high-concentration corrosive ion environment of saline soil by constructing a comprehensive analysis model that includes immersion-drying cycles and chloride ion diffusion. It effectively integrates the influence of load, temperature, and carbonation factors on concrete, achieving a precise quantitative assessment of the durability of the outer concrete layer of PCCP pipes under specific saline environments.

The present application relates to a kind of wood mechanical property prediction method, system, equipment and medium based on live standing tree stress wave data, wherein, method includes: obtaining live standing tree longitudinal wave velocity data, green density, live standing tree moisture content, forest tree germplasm and tree age;Live standing tree longitudinal wave velocity data is screened based on wave velocity gradient mutation response trigger knot defect, and moisture content is combined to implement correction, output standard longitudinal wave velocity data, and boundary effect compensation is executed, generates log equivalent wave velocity, gradient correction is carried out in combination with the radial spatial distribution relationship of detection node and pith, and output corrected wave velocity parameter;Through the coupling of multiple sources, dynamic elastic modulus prediction model is constructed, and dynamic elastic modulus is predicted and output, and is converted into static reference modulus, conditionally introduces tree age attenuation factor to exert correction, and obtains final static elastic modulus.The present application significantly improves the precision and applicability of live standing tree mechanical property prediction by coupling analysis and dynamic correction mechanism of multiple source stress wave data.