AN APPROACH TO DETERMINING AND PREDICTING THE MEAN PARTICLE SIZE OF A MUCK PILE AFTER BLASTING ACCORDING TO SWEBREC PARTICLE SIZE DISTRIBUTION LAW BASED ON THE FORM OF SINGLE SPHERICAL CHARGE IN LABORATORY SCALE=AN APPROACH TO DETERMINING AND PREDICTING THE MEAN PARTICLE SIZE OF A MUCK PILE AFTER BLASTING ACCORDING TO SWEBREC PARTICLE SIZE DISTRIBUTION LAW BASED ON THE FORM OF SINGLE SPHERICAL CHARGE IN LABORATORY SCALE

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Tác giả: Đức Hiếu Vũ, Tùng Lâm Vũ, Xuân Bảng Vũ

Ngôn ngữ: eng

Ký hiệu phân loại:

Thông tin xuất bản: Journal of Science and Technique: Section on Special Construction Engineering, 2024

Mô tả vật lý: tr.21

Bộ sưu tập: Metadata

ID: 251772

Thêm vào giỏ

In the manufacturing procedure at open-pit mines, tunnel construction or channel excavation activities, crushing rocks to a suitable grain size is one of the first technological steps, directly affecting the efficiency of the following steps in the overall process of drilling - blasting - loading - transporting. Currently, drilling-blasting is still an effective method in this field. However, controlling the blasting parameters to obtain a suitable mean particle size is still difficult for mining engineers and scientists. Hence, on a laboratory scale, this research carries out 6 blasting experiments based on the form of single spherical charge with a variety of powder factors but the same specimen condition, equations determining directly the Swebrec particle size distributions (PSDs) law are then established with the input data taken from sieve analysis, as a basis for establishing relationships among each pair of parameters such as the exponential coefficient of Swebrec PSD function b, the mean particle size Dtb, and the powder factor q. The results show that the obtained PSDs almost completely fit experimental data, coefficients of determination R2 for the entire data set are greater than 0.99. Each pair of relationships among b, Dtb, and q has R2 values greater than 0.98 with the addition of predictive significance. The calculations are modularized in Python programming language for use as a package. Compared to other existing methods, the final results can help quickly evaluate the quality of an explosion, appropriately calibrating explosion parameters to obtain the desired rock fragmentation without requiring knowledge of machine learning and statistics.Trong quy trình sản xuất tại các mỏ lộ thiên, thi công đường hầm hay đào luồng, làm tơi đất đá tới một cỡ hạt phù hợp là một trong những khâu công nghệ đầu tiên, ảnh hưởng trực tiếp đến hiệu quả của các khâu tiếp theo trong quy trình tổng thể khoan - nổ - bốc xúc - vận tải. Hiện tại, phương pháp khoan - nổ mìn vẫn là một giải pháp hiệu quả trong ngành. Tuy nhiên, việc điều khiển các tham số nổ mìn để thu được cỡ hạt trung bình phù hợp là một công việc khó khăn không chỉ với các kỹ sư mỏ mà còn với những nhà khoa học trong ngành. Do đó, với quy mô phòng thí nghiệm, nghiên cứu này thực hiện 6 thí nghiệm nổ dựa trên dạng lượng nổ đơn hình cầu với chỉ tiêu thuốc nổ khác nhau trên cùng một điều kiện mẫu, sau đó xây dựng các phương trình xác định trực tiếp quy luật phân bố cỡ hạt Swebrec thông qua dữ liệu đầu vào từ phân tích sàng, từ đó xây dựng từng cặp quan hệ giữa các tham số như hệ số mũ của hàm Swebrec b, cỡ hạt trung bình Dtb và chỉ tiêu thuốc nổ q. Kết quả cho thấy hàm phân phối gần như khớp hoàn toàn với số liệu thí nghiệm, tất cả 6 bộ dữ liệu đều có hệ số xác định R2 lớn hơn 0,99. Các cặp quan hệ giữa b, Dtb, q ngoài việc đều có hệ số xác định R2 lớn hơn 0,98, còn mang ý nghĩa dự đoán. Các tính toán được mô đun hóa bằng ngôn ngữ lập trình Python để sử dụng như một gói. So với các phương pháp khác hiện có, kết quả của bài báo có thể giúp đánh giá nhanh chất lượng một vụ nổ, hiệu chỉnh các tham số nổ phù hợp để thu được mức độ đập vỡ đất đá theo ý muốn mà không yêu cầu kiến thức về học máy, thống kê.

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