CSDL Bài trích Báo - Tạp chí
chủ đề: Conctere construction
1 XGBoost regression for estimating bearing capacity of concrete piles = Sử dụng hồi quy XGBoost để đánh giá sức chịu tải của cọc bê tông / Tran Thu Hien, Hoang Nhat Duc // .- 2023 .- Số 03(58) .- P. 3-11 .- 690
This paper uses XGBoost to predict bearing capacity of concrete piles. The proposed model is trained and tested against a dataset of 472 samples collected from static load tests in Vietnam. The results indicate that the default XGBoost model consistently outperforms the Deep Neural Network (DNN) regression. XGBoost is a suitable tool for engineers to predict pile bearing capacity.
2 Gabor filter based image segmentation for detecting damages on surface of reinforce concrete structures = Phát hiện các khuyết tật trên bề mặt kết cấu bê tông cốt thép sử dụng kỹ thuật phân ngưỡng ảnh dựa trên bộ lọc Gabor / Hoang Nhat Duc, Nguyen Quoc Lam, Tran Van Duc // .- 2021 .- Số 02(45) .- P. 10-15 .- 690
This study aims at developing a computer vision tool to segment images capturing surface of reinforced concrete structures. The image processing technique of Gabor filter is used with k-Means clustering algorithm and principal component analysis to automatically segment damages on concrete surface including spall, crack, bughole, and stain.