| Field |
Value |
Language |
|
dc.contributor.author |
Yuan, Y
https://orcid.org/0009-0000-8852-4869
|
|
|
dc.contributor.author |
Zhu, X
https://orcid.org/0000-0001-5083-9320
|
|
|
dc.contributor.author |
Li, J |
|
|
dc.date.accessioned |
2024-01-18T09:38:40Z |
|
|
dc.date.available |
2024-01-18T09:38:40Z |
|
|
dc.identifier.citation |
Sensors, 24, (2), pp. 383 |
|
|
dc.identifier.issn |
1424-8220 |
|
|
dc.identifier.issn |
1424-8220 |
|
|
dc.identifier.uri |
http://hdl.handle.net/10453/174774
|
|
|
dc.description.abstract |
<jats:p>With the deterioration of bridge performance and ever-increasing amounts of traffic, bridge safety is becoming a concern for the engineering community. A method that can assess a bridge’s condition in real time is urgently needed. The main factors that hinder bridge condition assessment are the uncertain operational environments. A new moving principal component analysis (MPCA)-based method is developed for structural damage detection in bridges in operational environments in this paper. Two main operational environmental factors, the environmental temperature and traffic loads, are studied in the assessment process to verify the robustness and practicality of the proposed method. The numerical and experimental results show that the proposed method is effective and accurate in assessing the bridge’s condition in operational environments.</jats:p> |
|
|
dc.language |
en |
|
|
dc.publisher |
MDPI |
|
|
dc.relation.ispartof |
Sensors |
|
|
dc.relation.isbasedon |
10.3390/s24020383 |
|
|
dc.rights |
info:eu-repo/semantics/openAccess |
|
|
dc.subject |
0301 Analytical Chemistry, 0502 Environmental Science and Management, 0602 Ecology, 0805 Distributed Computing, 0906 Electrical and Electronic Engineering |
|
|
dc.subject.classification |
Analytical Chemistry |
|
|
dc.subject.classification |
3103 Ecology |
|
|
dc.subject.classification |
4008 Electrical engineering |
|
|
dc.subject.classification |
4009 Electronics, sensors and digital hardware |
|
|
dc.subject.classification |
4104 Environmental management |
|
|
dc.subject.classification |
4606 Distributed computing and systems software |
|
|
dc.title |
Moving-Principal-Component-Analysis-Based Structural Damage Detection for Highway Bridges in Operational Environments |
|
|
dc.type |
Journal Article |
|
|
utslib.citation.volume |
24 |
|
|
utslib.for |
0301 Analytical Chemistry |
|
|
utslib.for |
0502 Environmental Science and Management |
|
|
utslib.for |
0602 Ecology |
|
|
utslib.for |
0805 Distributed Computing |
|
|
utslib.for |
0906 Electrical and Electronic Engineering |
|
|
pubs.organisational-group |
/University of Technology Sydney |
|
|
pubs.organisational-group |
/University of Technology Sydney/Faculty of Engineering and Information Technology |
|
|
pubs.organisational-group |
/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering |
|
|
utslib.copyright.status |
open_access |
* |
|
dc.date.updated |
2024-01-18T09:38:38Z |
|
|
pubs.issue |
2 |
|
|
pubs.publication-status |
Published online |
|
|
pubs.volume |
24 |
|
|
utslib.citation.issue |
2 |
|
