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Advances in Structural Monitoring for Civil Engineering

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".

Deadline for manuscript submissions: closed (15 July 2021) | Viewed by 2762

Special Issue Editor


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Guest Editor
Departamento de Ingeniería Civil, Universidad de Alicante, 03690 Alicante, Spain
Interests: historical constructions; retrofitting; structural dynamics; monitoring

Special Issue Information

Dear Colleagues,

In recent decades there has been a growing interest in predictive maintenance of civil engineering structures. New methodologies and new techniques have been developed to be able to monitor, with increasing precision, basic parameters of the structural behavior of these infrastructures that allow both guaranteeing their service limit state and predicting possible damage. In some countries, this monitoring is especially important because it is necessary to extend the useful life of these infrastructures due to their age, especially for viaducts, railway bridges, and other critical infrastructures such as large dams or even buildings of historical heritage. In infrastructures with a higher level of technology, such as oil platforms, wind turbines, or even particularly important pipelines, the monitoring plan is integrated into the construction project itself. The monitoring of these infrastructures has been based on the use of various types of sensors such as accelerometers, deformation and displacement sensors, and thermocouples. New developments based on sensors that integrate various technologies, including wireless technology, are being applied, allowing large-scale monitoring to be complemented by the monitoring of specific areas of the infrastructure. This Special Issue aims to collect new methodologies, new types of sensors, and advanced applications for monitoring all types of civil engineering infrastructures in order to collect the current advances in knowledge on this topic.

Prof. Salvador Ivorra
Guest Editor

Manuscript Submission Information

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Keywords

  • sensor network
  • sensor networks
  • structural health monitoring
  • autonomous structural inspection
  • structural control
  • smart structures
  • remote sensing

Published Papers (1 paper)

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Research

22 pages, 4998 KiB  
Article
A Framework for Long-Term Vibration-Based Monitoring of Bridges
by Emrah Erduran, Frida Kristin Ulla and Lone Næss
Sensors 2021, 21(14), 4739; https://doi.org/10.3390/s21144739 - 11 Jul 2021
Cited by 6 | Viewed by 1913
Abstract
A new framework for long-term monitoring of bridges is proposed in order to negate (i) the impact of measurement uncertainties on damage detection in vibration-based structural health monitoring and (ii) the low sensitivity of damage indicators to low levels of damage. The framework [...] Read more.
A new framework for long-term monitoring of bridges is proposed in order to negate (i) the impact of measurement uncertainties on damage detection in vibration-based structural health monitoring and (ii) the low sensitivity of damage indicators to low levels of damage. The framework is developed using three vibration-based damage indicators that have an intuitive physical correlation with damage: modal curvature, modal strain energy and modal flexibility. The article first quantifies the efficacy of these damage indicators when based on two observations, one from the undamaged state and one from the monitored state, in detecting and locating damage for different damage levels that are simulated on an 84-m long railway bridge. A long-term monitoring framework based on a new parameter defined as the frequency of the damage indicator exceeding the threshold value within a population of observations is developed. Impact of several factors including the damage location, damage indicator used in the framework, and the noise level on the success of the developed framework was investigated through numerical analysis. The new parameter, when used together with modal strain energy, was shown to provide a very clear picture of damage initiation and development over time starting from very low damage levels. Furthermore, the location of the simulated damage can be identified successfully at all damage levels and even for very high noise levels using the proposed framework. Full article
(This article belongs to the Special Issue Advances in Structural Monitoring for Civil Engineering)
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