Một phương pháp tiếp cận mới trong dự đoán lún đất thông qua các kỹ thuật xử lý dữ liệu

Laura Gazzola1, Massimiliano Ferronato1, Matteo Frigo1, Carlo Janna1, Pietro Teatini1, Claudia Zoccarato1, Massimo Antonelli2, Anna Corradi2, Maria Carolina Dacome2, Stefano Mantica2
1Department of Civil, Environmental and Architectural Engineering, University of Padova, Padova, Italy
2Eni S.p.A., Milan, Italy

Tóm tắt

Tóm tắtSự lún đất do con người gây ra có thể được đánh giá và dự đoán thông qua các mô hình số, thường được xây dựng dựa trên các phân tích xác định. Tuy nhiên, có sự không chắc chắn và các xấp xỉ tồn tại, giống như trong bất kỳ hoạt động mô hình hóa nào của các hiện tượng trong thế giới thực. Nghiên cứu này nhằm kết hợp các kỹ thuật xử lý dữ liệu với một mô hình số dựa trên vật lý về lún đất do con người gây ra trong một quy trình làm việc mới và toàn diện, nhằm khắc phục những hạn chế chính liên quan đến cách mà các phân tích xác định truyền thống sử dụng các phép đo có sẵn. Phương pháp được đề xuất cho phép giảm thiểu những sự không chắc chắn ảnh hưởng đến mô hình, xác định hành vi cấu thành đá phù hợp nhất và đặc trưng hóa các tham số địa cơ học quan trọng nhất. Cách tiếp cận phương pháp học hỏi được đề xuất đã được áp dụng trong một trường hợp thử nghiệm tổng hợp đại diện cho lưu vực Bắc Adriatic, Ý. Việc tích hợp các kỹ thuật xử lý dữ liệu vào mô hình hóa địa cơ học dường như là một công cụ hữu ích và hiệu quả cho một nghiên cứu đáng tin cậy hơn về lún đất do con người gây ra.

Từ khóa


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