Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile
This version is not peer-reviewed. Submitted: 08 October 2026 You are already at the latest version Automated dam-safety monitoring compares each pendulum reading with a prediction band from data-driven predictive models, but its operational deployment is undermined by alarm fatigue: because prediction residuals are autocorrelated, band transgressions might arrive in clustered streaks and a per-record threshold overwhelms the operator with redundant warnings.
1. Introduction and Background Dams, like any other infrastructure, respond to external and internal loads. The anisotropy and evolution of the mechanical properties of the materials they are composed of and their foundations make the whole system complex and evolutionary. The mechanical response of the dam to variations in external variables exhibits reversible behaviour as long as the materials remain in the elastic zone.
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
