Options
Hurst exponent footprints from activities on a large structural system
Date Issued
15 April 2013
Date Available
14T08:21:10Z May 2019
Abstract
This paper presents Hurst exponent footprints from pseudo-dynamic measurements of significantly varied activities on a damaged bridge structure during rehabilitation through continuous monitoring. The system is interesting due to associated uncertainty in large-scale structures and significant presence of human intervention arising from fundamentally different processes. Investigations into the variation of computed Hurst exponents on time series of limited lengths are carried out in this regard. The Hurst exponents are compared with respect to specific events during the rehabilitation, as well as with the data collection locations. The variations of local Hurst exponents about the values computed for each activity are presented. The scaling of Hurst exponents for different activities is also investigated; these are representative of the extent of multifractality for each event. The extent of multifractality is assessed along with its source and time dependency.
Other Sponsorship
The National Roads Authority, Maudlins, Naas, Kildare, Ireland
South Dublin County Council, Tallaght, Dublin, Ireland
Coastway, Naas, Kildare, Ireland
Datum Monitoring Services Limited, Moira, Armagh, Northern Ireland
Structural Concrete Bonding Services Limited, Newbridge, Kildare, Ireland
Complete Highway Maintenance Group, Walkinstown, Dublin, Ireland
Testconsult Ireland Limited, Portlaoise, Laoise, Ireland
Type of Material
Journal Article
Publisher
Elsevier
Journal
Physica A: Statistical Mechanics and its Applications
Volume
392
Issue
8
Start Page
1803
End Page
1817
Copyright (Published Version)
2013 Elsevier
Language
English
Status of Item
Peer reviewed
ISSN
0378-4371
This item is made available under a Creative Commons License
File(s)
Owning collection
Scopus© citations
19
Acquisition Date
Dec 10, 2023
Dec 10, 2023
Views
702
Last Month
1
1
Acquisition Date
Dec 10, 2023
Dec 10, 2023
Downloads
335
Last Week
1
1
Last Month
7
7
Acquisition Date
Dec 10, 2023
Dec 10, 2023