Deep Learning- and Multi-Point Analysis-Based Systematic Deformation Warning for Arch Dams
Deformation is a direct manifestation of structural changes that occur during the operation of arch dams, and the development of reliable deformation early warning indicators allows for their timely study. Considering that an arch dam is a systematic overall structure, it is necessary to systematica...
Saved in:
| Main Authors: | Tao Zhou, Xiubo Niu, Ning Ma, Futing Sun, Shilin Gong |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-07-01
|
| Series: | Infrastructures |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2412-3811/10/7/170 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Adaptive Warning Thresholds for Dam Safety: A KDE-Based Approach
by: Nathalia Silva-Cancino, et al.
Published: (2025-06-01) -
Identifying Deformation Drivers in Dam Segments Using Combined X- and C-Band PS Time Series
by: Jonas Ziemer, et al.
Published: (2025-07-01) -
STATE AND STRENGTH-DEFORMABILITY PROPERTIES OF THE MIRNY MINING AND PROCESSING PLANT (MPP) TECHNOGENIC TAILINGS DAM DEPOSITS AS A FACTOR OF DAM STABILITY
by: E. P. Dushkin, et al.
Published: (2025-06-01) -
Performance of the NCREE's on‐site warning system during the 5 February 2016 Mw 6.53 Meinong earthquake
by: Ting‐Yu Hsu, et al.
Published: (2016-09-01) -
Enhancing Societal Value of Early Warning Early Action and Anticipatory Action Frameworks Using NOAA’s Oceanic Niño Index
by: Michael H. Glantz, et al.
Published: (2025-02-01)