#7541. Data-driven crack behavior anomaly identification method for concrete dams in long-term service using offline and online change point detection

October 2026publication date
Proposal available till 19-05-2025
4 total number of authors per manuscript0 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Mechanical Engineering;
Places in the authors’ list:
place 1place 2place 3place 4
FreeFreeFreeFree
2350 $1200 $1050 $900 $
Contract №7541.1 Contract №7541.2 Contract №7541.3 Contract №7541.4
1 place - free (for sale)
2 place - free (for sale)
3 place - free (for sale)
4 place - free (for sale)

Abstract:
Cracking is a common threat to dam structural safety. It is desirable to establish models that can accurately assess the influence of cracks on the structural safety of concrete dams in time. The structural condition assessment for dams can be categorized into offline structural state review based on historical monitoring data and online real-time detection based on updated data.
Keywords:
Bayesian online detection; Bottom–up segmentation; Condition classification; Crack behavior change; Gravity-arch dam; Structural health monitoring

Contacts :
0