Repository logo
  • Log In
    New user? Click here to register.Have you forgotten your password?
University College Dublin
  • Colleges & Schools
  • Statistics
  • All of DSpace
  • Log In
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. College of Engineering & Architecture
  3. School of Mechanical and Materials Engineering
  4. Mechanical & Materials Engineering Research Collection
  5. A bespoke signal processing algorithm for operational modal testing of post-tensioned steel and concrete beams
 
  • Details
Options

A bespoke signal processing algorithm for operational modal testing of post-tensioned steel and concrete beams

File(s)
FileDescriptionSizeFormat
Download 119_Nob.pdf1.45 MB
Author(s)
Noble, Darragh 
Nogal, Maria 
O'Connor, Alan 
Pakrashi, Vikram 
Uri
http://hdl.handle.net/10197/10339
Date Issued
13 July 2018
Date Available
08T09:29:41Z May 2019
Abstract
The extraction of modal properties, specifically natural frequency, damping ratio and mode shape is a difficult task, especially when output-only data is measured. The accuracy of the estimation these modal properties is compromised by noisy signals, and signal filtering is required to suppress unwanted frequency content. Care is required however to avoid over-filtering of the output data, which can eliminate valid structural frequency content if required care is not exercised. This paper describes the development of a bespoke signal processing algorithm to extract the modal properties of both simply supported post-tensioned steel and concrete sections. Dynamic impact testing was conducted on a series of different post-tensioned steel rectangular hollow sections, and 9 different post-tensioned concrete beams, each with differing straight profiled post-tensioning strand eccentricities. Acceleration time-history data was recorded for each of the steel and concrete beams via an accelerometer. This data was subsequently processed, first centring the acceleration-time history using a moving average filter, and subsequently removing any zero drift in the accelerometer via a second order low pass Butterworth filter. Electrical noise was then removed via a notch filter. The accelerometer data was then smoothed in the time domain. The Fast Fourier Transform (FFT) was applied to the signal to convert into the frequency domain and finally a bespoke peak-picking algorithm was invoked to extract the natural frequencies of the beams. A comparison is subsequently made between the accuracy of the estimation of the modal properties of the steel and concrete beams for filtered and unfiltered data, and a sensitivity analysis of the filtering and peak picking parameters is conducted to determine the effect that this has on the accuracy of the estimation of the modal parameters. The results show the effectiveness of the bespoke signal processing algorithm in increasing the accuracy of the estimation of the modal properties as opposed to the raw unprocessed signals.
Sponsorship
Irish Research Council
Type of Material
Conference Publication
Publisher
CRC Press
Copyright (Published Version)
2018 Taylor & Francis
Keywords
  • Operational Modal Ana...

  • Fast Fourier Transfor...

  • Filtering

  • Signal Processing

DOI
10.1007/978-3-319-67443-8
Language
English
Status of Item
Not peer reviewed
Part of
Powers, N. Frangopol, D. M., Al-Mahaidi, R., Caprani, C. (eds.). Maintenance, Safety, Risk, Management and Life-Cycle Performance of Bridges: Proceedings of the Ninth International Conference on Bridge Maintenance, Safety and Management (IABMAS 2018), 9-13 July 2018, Melbourne, Australia
Description
EVACES 2017: International Conference on Experimental Vibration Analysis for Civil Engineering Structures, San Diego, California, United States, July 12-14 2017
ISBN
9781315189390
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Owning collection
Mechanical & Materials Engineering Research Collection
Views
704
Last Week
1
Last Month
2
Acquisition Date
Jan 29, 2023
View Details
Downloads
196
Last Week
6
Last Month
6
Acquisition Date
Jan 29, 2023
View Details
google-scholar
University College Dublin Research Repository UCD
The Library, University College Dublin, Belfield, Dublin 4
Phone: +353 (0)1 716 7583
Fax: +353 (0)1 283 7667
Email: mailto:research.repository@ucd.ie
Guide: http://libguides.ucd.ie/rru

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Cookie settings
  • Privacy policy
  • End User Agreement