Study on Quantitative Characterization of Morphological Characteristics and High Temperature Performance Evaluation of Coarse Aggregate Based on Computer Vision

The morphological characteristics of aggregate include outline shape, angularity, and surface texture, which determine the mutual extrusion friction between aggregates, significantly affect performance asphalt pavement. At present, research on coarse is mainly focused indoor visual identification technology (AIMS, XCT, etc.), in applicability proposed shape characterization index weak, these instruments could not serve practical engineering well. In this article, Coarse Aggregate Morphological Identification System (CAMIS) developed based computer vision technology, system can recognize features aggregates above 2.36 mm particle size carry out uninterrupted feeding removal mechanical arm system, realize large sample detection. Based CAMIS laboratory tests (rutting test, dynamic modulus penetration shear test), test samples from construction site are carried out, an evaluation index, CEI, suitable for high-temperature areas combination with improved response method. processing parameters vertical shaft impact crusher optimized CEI recommended verified by tests. results show that high temperature order needle flake, axial coefficient, convexity. axis to be 45 m/s rotational speed, 3 t/h feed quantity, 30% air intake. Verified tests, article highly reliable.