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Bài viết đã sử dụng phương pháp quy hoạch thực nghiệm bậc hai để dự đoán và mô phỏng ảnh hưởng của tỷ lệ nước – xi măng (N/X) và cát – chất kết dính đến các hàm mục tiêu là độ chảy xòe của hỗn hợp bê tông và cường độ nén của mẫu bê tông chất lượng cao hạt mịn. | Journal of Mining and Earth Sciences Vol. 62 Issue 1 2020 73 - 84 73 Using an experimental model to study the properties of fine-grained high-performance concrete Lam Tang Van 1 Dien Vu Kim 2 Hung Ngo Xuan 1 Bulgakov Boris Igorevich 2 Chien Minh Do 3 Duong Van Nguyen 3 1 Faculty of Civil Engineering Ha Noi University of Mining and Geology Hanoi Vietnam 2 Department of Technology of Binder and Concrete Moscow State University of Construction Moscow Russian Federation 3 College of Industrial and Constructional Quangninh Vietnam ARTICLE INFO ABSTRACT Article history This study uses the mathematical method of two-factors rotatable central Received 15th Nov. 2020 compositional planning to predict and simulate the effect of the ratio of Accepted 21st Jan. 2021 water-cement N X and sand - binder C CKD as the input parameters Available online 28th Feb. 2021 on the objective functions of the spreading flow of concrete mixtures and Keywords the compressive strength of fine-grained high-performence concrete Compressive strength FGHPC at 28 days. Results of the study showed that from the material Fine-grained high-performent source in Vietnam it is possible to FGHPC with a flow of 18.5 cm in the mini cone its compressive and flexural strengths at the age of 28 days are concrete 68.5 MPa and 6.13 MPa respectively. Furthermore from the obtained Objective function objective functions it has been shown that the both two-input parameters Parameter. have a significant influence on the values of the experimental models. Particularly using Matlab software is showed the expression surface the contour line of the experimental models and determined the maximum value of compressive strength of FGHPC at this age of 69.84 MPa at N X 0.326 and C CKD 1.315. The contribution of this study is to obtain regression functions to predict the mechanical-physical properties of FGHPC that will be used in the next in-depth studies. Copyright 2021 Hanoi University of Mining and Geology. All rights .
