Detection of Cracks in Arch Dams Using Monitoring Data and Numerical Models

A methodology based on displacement measurements from monitoring devices is proposed and tested. The goal is to detect the formation of cracks in arch dams and estimate their dimensions using a straightforward approach. The methodology involves interpolating displacement data against representative...

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Main Authors: André Conde, Eduardo Salete, Miguel Á. Toledo
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/15/11/6105
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author André Conde
Eduardo Salete
Miguel Á. Toledo
author_facet André Conde
Eduardo Salete
Miguel Á. Toledo
author_sort André Conde
collection DOAJ
description A methodology based on displacement measurements from monitoring devices is proposed and tested. The goal is to detect the formation of cracks in arch dams and estimate their dimensions using a straightforward approach. The methodology involves interpolating displacement data against representative cases to identify anomalies indicative of cracks. A real dam was used as a case study, which began with the development of a 3D finite element model under several hypotheses. This model was analyzed using finite element method (FEM) calculations to simulate the displacements recorded by monitoring devices. The effectiveness of the methodology was evaluated based on the number and location of monitoring stations, demonstrating its ability to detect cracks and approximate their dimensions with acceptable accuracy.
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spelling doaj-art-5ee645565d56488a8ddd3b2dc9457f892025-08-20T02:33:07ZengMDPI AGApplied Sciences2076-34172025-05-011511610510.3390/app15116105Detection of Cracks in Arch Dams Using Monitoring Data and Numerical ModelsAndré Conde0Eduardo Salete1Miguel Á. Toledo2Dam Safety Research Group, Department of Civil Engineering, Hydraulics, Energy and Environment, Universidad Politécnica de Madrid, Profesor Aranguren, s/n, 28040 Madrid, SpainEscuela Técnica Superior de Ingenieros Industriales, Universidad Nacional de Educación a Distancia, Juan del Rosal 12, 28040 Madrid, SpainDam Safety Research Group, Department of Civil Engineering, Hydraulics, Energy and Environment, Universidad Politécnica de Madrid, Profesor Aranguren, s/n, 28040 Madrid, SpainA methodology based on displacement measurements from monitoring devices is proposed and tested. The goal is to detect the formation of cracks in arch dams and estimate their dimensions using a straightforward approach. The methodology involves interpolating displacement data against representative cases to identify anomalies indicative of cracks. A real dam was used as a case study, which began with the development of a 3D finite element model under several hypotheses. This model was analyzed using finite element method (FEM) calculations to simulate the displacements recorded by monitoring devices. The effectiveness of the methodology was evaluated based on the number and location of monitoring stations, demonstrating its ability to detect cracks and approximate their dimensions with acceptable accuracy.https://www.mdpi.com/2076-3417/15/11/6105arch damFEMcracksmonitoring
spellingShingle André Conde
Eduardo Salete
Miguel Á. Toledo
Detection of Cracks in Arch Dams Using Monitoring Data and Numerical Models
Applied Sciences
arch dam
FEM
cracks
monitoring
title Detection of Cracks in Arch Dams Using Monitoring Data and Numerical Models
title_full Detection of Cracks in Arch Dams Using Monitoring Data and Numerical Models
title_fullStr Detection of Cracks in Arch Dams Using Monitoring Data and Numerical Models
title_full_unstemmed Detection of Cracks in Arch Dams Using Monitoring Data and Numerical Models
title_short Detection of Cracks in Arch Dams Using Monitoring Data and Numerical Models
title_sort detection of cracks in arch dams using monitoring data and numerical models
topic arch dam
FEM
cracks
monitoring
url https://www.mdpi.com/2076-3417/15/11/6105
work_keys_str_mv AT andreconde detectionofcracksinarchdamsusingmonitoringdataandnumericalmodels
AT eduardosalete detectionofcracksinarchdamsusingmonitoringdataandnumericalmodels
AT miguelatoledo detectionofcracksinarchdamsusingmonitoringdataandnumericalmodels