Bài viết Xác định hàm lượng nhựa và độ rỗng dư của bê tông asphalt bằng phương pháp phân tích ảnh chụp mặt cắt trình bày nghiên cứu về ứng dụng phân tích ảnh trong việc xác định hàm lượng nhựa và độ rỗng dư của hỗn hợp bê tông asphalt. Bốn loại bê tông asphalt với nguồn cốt liệu và cấp phối khác nhau được chế tạo và thử nghiệm. | Transport and Communications Science Journal Vol 73 Issue 3 04 2022 231-242 Transport and Communications Science Journal DETERMINATION OF ASPHALT CONTENT AND AIR VOID OF ASPHALT MIXTURES USING IMAGE ANALYSIS METHOD Nguyen Quang Tuan Bui Ngoc Dung Tran Thi Cam Ha Do Vuong Vinh University of Transport and Communications No 3 Cau Giay Street Hanoi Vietnam ARTICLE INFO TYPE Research Article Received 17 12 2021 Revised 07 02 2022 Accepted 03 03 2022 Published online 15 04 2022 https Corresponding author Email tranthicamha@ Abstract. Nowadays due to the development of science and technology especially the data science and artificial intelligence the traditional methods have been gradually replaced by more effective and modern methods. In Vietnam the determination of asphalt content of asphalt mixtures is performed by extraction method using the centrifuge. This method requires many steps and uses solvents that are not good for the environment and human health. This paper presents the investigation into the application of image analysis method for determining asphalt content and air void of asphalt mixtures. Four types of asphalt mixture with different aggregate sources and gradations were fabricated and tested. For each type of asphalt mixture the images of specimen cross section by scanning were used. An image analysis program is built to analyze captured image. Color images is converted to grayscale images. Aggregate bitumen and air void are distinguished due to intensity of light at each pixel in the grayscale image. From the image analysis the asphalt content and air void of the asphalt mixture specimens were determined. The obtained results show that the image analysis method could determine the volumetric properties of the mixture quite accurately and opens up many other studies in the future. Keywords asphalt mixture asphalt content air void image analysis. 2022 University of Transport and Communications 231 Tạp chí Khoa học
