dc.contributor.author | Kromanis, R | |
dc.contributor.author | Kripakaran, P | |
dc.date.accessioned | 2017-09-11T08:00:33Z | |
dc.date.issued | 2017-09-14 | |
dc.description.abstract | A comprehensive evaluation of a structure’s performance based on quasi-static
measurements requires consideration of the response due to all applied loads. For the majority of
short- and medium-span bridges, temperature and vehicular loads are the main drivers of structural
deformations. This paper therefore evaluates the following two hypotheses: (i) knowledge of loads
and their positions, and temperature distributions can be used to accurately predict structural
response, and (ii) the difference between predicted and measured response at various sensor
locations can form the basis of anomaly detection techniques. It introduces a measurement
interpretation approach that merges the regression-based thermal response prediction methodology
that was proposed previously by the authors with a novel methodology for predicting traffic-induced
response. The approach first removes both environmentally (temperature) and operationally (traffic)
induced trends from measurement time series of structural response. The resulting time series is then
analysed using anomaly detection techniques. Experimental data collected from a laboratory truss
is used for the evaluation of this approach. Results show that (i) traffic-induced response is
recognized once thermal effects are removed, and (ii) information of the location and weight of a
vehicle can be used to generate regression models that predict traffic-induced response. As a whole,
the approach is shown to be capable of detecting damage by analysing measurements that include
both vehicular and thermal response | en_GB |
dc.identifier.citation | Vol. 34, pp. 46-59 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/29275 | |
dc.language.iso | en | en_GB |
dc.publisher | Elsevier | en_GB |
dc.rights.embargoreason | Publisher policy | en_GB |
dc.rights | © 2017 Elsevier Ltd. All rights reserved. | |
dc.subject | structural health monitoring | en_GB |
dc.subject | long-term bridge monitoring | en_GB |
dc.subject | thermal response | en_GB |
dc.subject | temperature effects | en_GB |
dc.subject | signal processing | en_GB |
dc.subject | anomaly detection | en_GB |
dc.title | Data-driven approaches for measurement interpretation: analysing integrated thermal and vehicular response in bridge structural health monitoring | en_GB |
dc.type | Article | en_GB |
dc.identifier.issn | 1474-0346 | |
dc.description | This is the author accepted manuscript. The final version is available from Elsevier via the DOI in this record. | en_GB |
dc.identifier.journal | Advanced Engineering Informatics | en_GB |