Next Article in Journal
Early Steps in Automated Behavior Mapping via Indoor Sensors
Next Article in Special Issue
Condition Assessment of Foundation Piles and Utility Poles Based on Guided Wave Propagation Using a Network of Tactile Transducers and Support Vector Machines
Previous Article in Journal
POFBG-Embedded Cork Insole for Plantar Pressure Monitoring
Previous Article in Special Issue
Optimal Multi-Type Sensor Placement for Structural Identification by Static-Load Testing
Article Menu
Issue 12 (December) cover image

Export Article

Open AccessArticle
Sensors 2017, 17(12), 2928; doi:10.3390/s17122928

Wireless Concrete Strength Monitoring of Wind Turbine Foundations

1
Department of Civil & Environmental Engineering, University of Strathclyde, Glasgow G1 1XJ, UK
2
Department of Electronic & Electrical Engineering, University of Strathclyde, Glasgow G1 1XQ, UK
*
Author to whom correspondence should be addressed.
Received: 31 October 2017 / Revised: 28 November 2017 / Accepted: 14 December 2017 / Published: 16 December 2017
(This article belongs to the Special Issue Sensors and Sensor Networks for Structural Health Monitoring)
View Full-Text   |   Download PDF [2581 KB, uploaded 19 December 2017]   |  

Abstract

Wind turbine foundations are typically cast in place, leaving the concrete to mature under environmental conditions that vary in time and space. As a result, there is uncertainty around the concrete’s initial performance, and this can encourage both costly over-design and inaccurate prognoses of structural health. Here, we demonstrate the field application of a dense, wireless thermocouple network to monitor the strength development of an onshore, reinforced-concrete wind turbine foundation. Up-to-date methods in fly ash concrete strength and maturity modelling are used to estimate the distribution and evolution of foundation strength over 29 days of curing. Strength estimates are verified by core samples, extracted from the foundation base. In addition, an artificial neural network, trained using temperature data, is exploited to demonstrate that distributed concrete strengths can be estimated for foundations using only sparse thermocouple data. Our techniques provide a practical alternative to computational models, and could assist site operators in making more informed decisions about foundation design, construction, operation and maintenance. View Full-Text
Keywords: concrete maturity; wireless sensing; neural networks; structural health monitoring; foundation design concrete maturity; wireless sensing; neural networks; structural health monitoring; foundation design
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Perry, M.; Fusiek, G.; Niewczas, P.; Rubert, T.; McAlorum, J. Wireless Concrete Strength Monitoring of Wind Turbine Foundations. Sensors 2017, 17, 2928.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top