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Articles by Miguel Á. Toledo
Reducing Alarm Fatigue in Dam Pendulum Monitoring: Streak Detection of Prediction-Band Transgressions with a Two-State Hidden Markov Model
This version is not peer-reviewed.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.
Impact of Arch Dam Cracking on Monitoring Data
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.
El campo en 50 segundos
agroautentico.com Pimientos con marca Parvispinus 00:00 / 1:29 Pimientos con marca Parvispinus 25 de febrero de 2026 • 1:29 De un problema como es el Parvispinus, el ingenio puede crear una oportunidad. De ahí la reciente presentación en Alemania de la campaña ‘Pimientos con Marca’, refiriéndose a esas marcas que deja en los frutos de pimiento el Thrips parvispinus.
Cracks in Arch Dams: An Overview of Documented Instances
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.
Identification of Trends in Dam Monitoring Data Series Based on Machine Learning and Individual Conditional Expectation Curves
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.
Greedy Weighted Stacking of Machine Learning Models for Optimizing Dam Deformation Prediction
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.
Numerical Modeling of Cracked Arch Dams. Effect of Open Joints during the Construction Phase
1. Introduction Dams are essential infrastructure in the management of water resources, as they are fundamental to harnessing, regulating, and allocating water for various human needs. These engineered structures serve as the backbone for the provision of essential services, including flood control, water supply, agricultural irrigation, hydropower generation, and recreational opportunities.
Characterization of the Erosion Basin Shaped by the Jet Flow of Sky-Jump Spillways
2. Materials and Methods 2.1. General Approach This research was developed in four phases (Figure 1). The first phase is analysis, allowed to identify the relevant parameters for the objective pursued. In the second phase, physical modeling was developed in four steps. Initially, the experimental test campaign was defined. This was followed by the design and construction of the test facility, with all the necessary instrumentation.
Structural Failure of the Cohesive Core of Rockfill Dams: An Experimental Research Using Sand-Bentonite Mixtures
This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessArticle by Ricardo Monteiro-Alves 1,*, Rafael Moran 1,2, Miguel Á.
Characterization of the Overtopping Flow through the Downstream Shell of Rockfill Dams
Ricardo Monteiro-Alves Researcher, Dept. of Civil Engineering: Hydraulics, Energy, and Environment, Universidad Politécnica de Madrid, E.T.S. de Ingenieros de Caminos, Canales y Puertos, Calle de Profesor Aranguren, 28040 Madrid, Spain (corresponding author). ORCID: https://orcid.org/0000-0002-2059-1712. Email: Professor, Dept.
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