Open AccessLeakage Detection of CFRDs Based on a Multi-source Information Fusion Method
Author(s) -
Jinzhang Tian,
Gao Dashui,
Yi Xu,
Yantao Zhu,
Lixian Huang
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/510/5/052055
Subject(s) - underwater , leakage (economics) , sonar , homogeneity (statistics) , deformation monitoring , geotechnical engineering , computer science , geology , marine engineering , engineering , deformation (meteorology) , artificial intelligence , machine learning , oceanography , economics , macroeconomics
Dam leakage is one of the most important failure causes of concrete face rockfill dams (CFRDs). Causes of dam leakage problems are various and hard to target due to the non-homogeneity of dam materials and the multi-dimensional deformation of CFRDs. This paper effectively performs multi-source information fusion of the safety monitoring, underwater sonar scanning, underwater high-definition cameras, and connection tests to propose a method for seepage detections of concrete face rockfill dams. The proposed method has been successfully applied in the seepage detection of a CFRD.