Detection of rockfill gradation based on video image recognition
Yihong Zhou, Huawei Zhou, Tingcai Chen, Chao Hu, Zhipeng Liang, Chunju Zhao, Fang Wang
Abstract
The gradation properties of earth-rock dam-filling materials primarily influence their mechanical properties after compaction. Herein, combined with the characteristics of rockfill gradation detection (RGD) requirements in practical engineering, an intelligent detection method for rockfill gradation based on video image (VI) recognition technology is proposed and applied to engineering applications. By designing a device for VI recording, multi-group RGD tests are conducted. Further, a method for rockfill identification and particle size gradation transformation based on VI is proposed. The accuracy and error of the RGD in traditional screening and VI recognition method are compared and analyzed. The results of the laboratory tests and engineering applications in a construction site reveal that the proposed RGD method is highly efficient, precise, and robust.