6 results about "Performance grade" patented technology

The application relates to a road material multi-index comprehensive performance evaluation method, and belongs to the technical field of data processing. The method comprises the following steps: constructing a road material multi-index data set and performing data labeling; calculating attribute correlation weights and noise robustness factors, dynamically adjusting a normalization scale, and obtaining normalized road material multi-index data; constructing a feature enhancement mapping module, extracting the local structure of the normalized data through a radial basis kernel function, enhancing nonlinear expression capability by using attribute interaction items, extracting high-order nonlinear features, and obtaining final feature enhancement mapping output; constructing a road material multi-index comprehensive performance evaluation model; training the model by using the final feature enhancement mapping output, obtaining a trained model; and inputting new road material data samples into the trained model after the new road material data samples are processed through steps S2 and S3, so that performance grade evaluation results are obtained. The application can improve the accuracy of road material multi-index comprehensive performance evaluation.

The application discloses a kind of super high performance concrete component regional performance evaluation methods, belong to data analysis technical field.The super high performance concrete component regional performance evaluation method includes the following steps: corrosion state information of UHPC component in service state is collected;According to corrosion state information, component is divided into three kinds of regions of complete corrosion area, transition corrosion area and uncorrosion area;Structural performance related index is extracted in each corrosion area respectively, corrosion induced interface slip damage model is established, and slip damage factor is obtained;According to the slip damage factor and residual bearing capacity retention rate of each region, performance grade division standard is established, each region is judged as I, II or III performance grade;The regional performance grade evaluation result of component is output.The super high performance concrete component regional performance evaluation method disclosed in the application can solve the problem that the existing method is difficult to accurately evaluate the regional performance of the component.

A method of forming a cracking resistant asphalt binder includes providing an asphalt binder that at least one of has a viscosity greater than about 50,000 P at about 60°C or having an m-value less than about 0.300 at -12°C after PAV aging for 20 hours, and mixing at least about 0.50 part by weight of a biomaterial comprising more than 80.0 weight percent resin with the base asphalt binder for every about 100.0 parts by weight of the base asphalt binder to form a cracking resistant asphalt binder having a performance grade of PG 58-28 and an m-value greater than about 0.300 at ‑18°C after PAV aging for 20 hours or cracking resistant asphalt binder having a performance grade of PG 64-22 and an m-value greater than about 0.300 at ‑12°C. Related cracking resistant asphalt binders and methods are also disclosed.

The present application belongs to the technical field of road materials, and relates to a method for quantitatively evaluating the adhesion of rubber powder modified asphalt and aggregate, which comprises the following steps: 1) forming asphalt mixture by mixing rubber powder modified asphalt and aggregate; 2) performing layer-by-layer elution on the asphalt mixture by using solvent elution method, and collecting eluted asphalt of each layer; 3) calculating the dispersion degree improvement range of each layer of eluted asphalt based on the rubber powder modified asphalt and each layer of eluted asphalt; 4) determining the contribution weight of each layer of eluted asphalt to adhesion by using the grey correlation method; 5) obtaining adhesion evaluation index according to the dispersion degree improvement range and the contribution weight; and 6) obtaining the adhesion performance grade according to the size of the adhesion evaluation index, and completing the quantitative evaluation of adhesion. The present application can objectively, directly and quantitatively evaluate the adhesion of rubber powder modified asphalt and aggregate, and has the characteristics of high evaluation precision and strong cross-scale correlation.

The application discloses a kind of landscape paving structure performance evaluation methods suitable for differentiating site, and the application relates to engineering detection technical field, and three-dimensional point cloud data of paving surface is obtained by synchronously carrying camera and three-dimensional laser scanner of unmanned aerial vehicle, reference state vector is constructed in combination with design drawing and completion data, point cloud data is fitted and refined using frequency domain decoupling idea, respectively macroscopic deformation field and residual elevation field are constructed, macroscopic geometric state parameter and microstructure state parameter are extracted, and double-scale quantitative characterization of geometric deformation and microstructure damage of paving surface is realized;Composite state vector is constructed by feature level fusion, and performance degradation evaluation function based on singular value decomposition difference is established, the deviation of reference performance matrix and actual performance matrix is calculated, and finally the structure comprehensive performance index and the evaluation report containing performance level and maintenance suggestion are output.

This application relates to a method, system, device, and medium for evaluating the bonding performance of the interface between new and old pavements. The method includes: obtaining the spatial range and evaluation time of the area to be evaluated at the interface between new and old pavements; constructing a spatiotemporal coordinate input set; inputting the spatiotemporal coordinate input set into a trained physical information neural network model based on a deep fully connected structure to obtain shear stiffness and damage factor values; obtaining the spatial distribution of the interface shear stiffness field and damage factor field through spatial interpolation; calculating the average stiffness, stiffness uniformity index, and damage area ratio through spatial field statistical characteristics; and matching the average stiffness, stiffness uniformity index, and damage area ratio with preset bonding performance evaluation rules to obtain the bonding performance level of the area to be evaluated. This method can integrate physical laws and deep learning to achieve dynamic quantitative evaluation of the bonding performance of the interface between new and old pavements, supporting scientific decision-making for pavement overlay and maintenance in road engineering.