|
|
|
|
|
Liqiu Chen, Chongshi Gu, Sen Zheng and Yanbo Wang
Real and effective monitoring data are crucial in assessing the structural safety of dams. Gross errors, resulting from manual mismeasurement, instrument failure, or other factors, can significantly impact the evaluation process. It is imperative to elim...
ver más
|
|
|
|
|
|
|
|
|
|
|
Enhua Cao, Tengfei Bao, Chongshi Gu, Hui Li, Yongtao Liu and Shaopei Hu
Accurate and reliable prediction of dam deformation (DD) is of great significance to the safe and stable operation of dams. In order to deal with the fluctuation characteristics in DD for more accurate prediction results, a new hybrid model based on a de...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chenfei Shao, Chongshi Gu, Zhenzhu Meng and Yating Hu
Risk assessment of dam?s running status is an important part of dam management. A data-driven method based on monitored displacement data has been applied in risk assessment, owing to its easy operation and real-time analysis. However, previous data-driv...
ver más
|
|
|
|
|
|