dc.contributor.author | Moyo, P | |
dc.contributor.author | Brownjohn, James | |
dc.date.accessioned | 2016-02-02T12:25:59Z | |
dc.date.issued | 2002-10 | |
dc.description.abstract | In-service civil infrastructure experience short-lived and transient changes in strain from time to time resulting for example from ground movements, development of cracks, heavy traffic, and accidents. With the advent of instrumented structural monitoring it is now possible to capture these events. In this paper an approach based on Box-Jenkins transfer functions is proposed for assessing the effect of these events on structural behaviour and performance. The analysis is based on strain data recorded by a structural health monitoring system installed in a major bridge at construction stage. | en_GB |
dc.identifier.citation | vol. 1, no. 2,149-160 | en_GB |
dc.identifier.doi | 10.1177/1475921702001002003 | |
dc.identifier.uri | http://hdl.handle.net/10871/19519 | |
dc.language.iso | en | en_GB |
dc.publisher | Sage | en_GB |
dc.relation.url | https://uk.sagepub.com/en-gb/eur/journal/structural-health-monitoring | en_GB |
dc.title.alternative | Application of Box–Jenkins models for assessing the effect of unusual events recorded by structural health monitoring systems | en_GB |
dc.title | Assessment of the effect of unusual events recorded by long-term structural health monitoring systems using Box-Jenkins models and wavelet analysis | en_GB |
dc.type | Article | en_GB |
dc.type | Conference paper | en_GB |
dc.date.available | 2016-02-02T12:25:59Z | |
dc.identifier.issn | 1475-9217 | |
exeter.place-of-publication | Korea | |
dc.description | Copyright (c) 2002 Sage Publications | en_GB |
dc.identifier.eissn | 1741-3168 | |
dc.identifier.journal | Structural Health Monitoring | en_GB |