2021-11-09T10:33:44 n3312

Sensing Science and Engineering Centre (SEC) Structural Data

Viewed: 1689

Sixteen vibrating wire strain gauges mounted on sister bars to the steel reinforcement in the pile column.  Twelve vibrating sensors report strain in four sides (North, South, East and West) at Vertical, North-South and East-West alignments, and the remaining four are mounted on the  level above on four sides (North, South, East and West) at Vertical alignment.

Sixteen strain gauges mounted on sister bars are also monitoring strain as a comparison to the vibrating wires.  The sensors are mounted on both the upper and lower column and upper and lower slab in four sides (North, South, East and West).

All data is logged to a central server at one sample per second and logged.

Vibrating wire sensors are connected to National Instruments NI-9205 and sampled at 1Hz.

Strain gauge sensors are connected to National Instruments NI-9237 and sampled at 1Hz.

Software has been specifically written to collect, organise and store data onto QUT's storage systems.

Time stamped strain data from a structural column in the basement car park of the Science and Engineering Centre building on the Gardens Point Campus of Queensland University of Technology.

Files are stored in Comma Separated Values (.csv). 

Access rights

Access to the data is mediated by the Visualisation and Interactive Solutions for Engagement and Research (VISER) group.

Location of data collection

kmlPolyCoords
153.029251,-27.478426

Research areas

Spatial Data
Water Resources Engineering
Civil Geotechnical Engineering
Infrastructure Engineering and Asset Management
Earthquake Engineering
Construction Engineering
Structural Engineering
Transport Engineering
Water Quality Engineering
Construction Materials
Civil Engineering not elsewhere classified

Cite this collection

Visualisation and Interactive Solutions for Engagement and Research (VISER) group; (2014): Sensing Science and Engineering Centre (SEC) Structural Data. Queensland University of Technology. (Dataset) https://doi.org/10.25912/RDF_1619745028901

Access the data

Data file types

Files are stored in Comma Separated Value (.csv).

Licence


Creative Commons Attribution 4.0 (CC-BY)
http://creativecommons.org/licenses/by/4.0/

Copyright

© Queensland University of Technology, 2014.

Dates of data collection

From 01-01-2012 to 2019

Contacts

Name: Visualisation and Interactive Solutions for Engagement and Research (VISER) group
Phone: +61 (0) 420 814 321

Other

Date record created:
2014-09-11T11:19:07
Date record modified:
2021-11-09T10:33:44
Record status:
Published - Open Access