A seasonal ARIMAX time series model for strain-temperature relationship in an instrumented bridge

Piotr Omenzetter, James M W Brownjohn

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

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Abstract

Data gathered by continuously operating instrumented structural health monitoring (SHM) systems installed on full-scale civil infrastructures are inherently influenced by environmental and operational conditions, including temperature, humidity, wind, solar radiation, live loads, and others. In order to interpret the SHM data correctly, the environmental and operational effects need to be separated from changes due to damages sustained by the structure. This study examines the dependence between time histories of static, hourly sampled strains and temperatures recorded by a multi-sensor SHM system installed in a major post-tensioned bridge and operating continuously for a long time. The strain-temperature relationship is modeled using a seasonal autoregressive integrated moving average model with exogenous inputs (SARIMAX), also referred to as a transfer function (TF). By studying the SARIMAX model, using an outlier detection and intervention analysis technique, various unusual events as well as structural change or damage can be revealed. Such events or structural changes may result, among other causes, from a sudden settlement of foundation, excessive traffic load or failure of post-tensioning cables; but they may also be caused by unusual temperature variations. The SARIMAX approach helps to differentiate the genuine structural changes from those due to environmental factors.
Original languageEnglish
Title of host publicationStructural Health Monitoring 2005
Subtitle of host publicationAdvances and challenges for implementation
EditorsFu-Kuo Chang
Pages299-306
Number of pages8
DOIs
Publication statusPublished - 12 Sep 2005
Event5th, International workshop on structural health monitoring; advancements and challenges for implementation - Stanford, United States
Duration: 12 Sep 200514 Sep 2005

Conference

Conference5th, International workshop on structural health monitoring; advancements and challenges for implementation
CountryUnited States
CityStanford
Period12/09/0514/09/05

Fingerprint

Time series
Structural health monitoring
Temperature
Solar radiation
Transfer functions
Atmospheric humidity
Cables
Sensors

Cite this

Omenzetter, P., & Brownjohn, J. M. W. (2005). A seasonal ARIMAX time series model for strain-temperature relationship in an instrumented bridge. In F-K. Chang (Ed.), Structural Health Monitoring 2005: Advances and challenges for implementation (pp. 299-306) https://doi.org/10.13140/2.1.4309.6645

A seasonal ARIMAX time series model for strain-temperature relationship in an instrumented bridge. / Omenzetter, Piotr; Brownjohn, James M W.

Structural Health Monitoring 2005: Advances and challenges for implementation. ed. / Fu-Kuo Chang. 2005. p. 299-306.

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

Omenzetter, P & Brownjohn, JMW 2005, A seasonal ARIMAX time series model for strain-temperature relationship in an instrumented bridge. in F-K Chang (ed.), Structural Health Monitoring 2005: Advances and challenges for implementation. pp. 299-306, 5th, International workshop on structural health monitoring; advancements and challenges for implementation, Stanford, United States, 12/09/05. https://doi.org/10.13140/2.1.4309.6645
Omenzetter P, Brownjohn JMW. A seasonal ARIMAX time series model for strain-temperature relationship in an instrumented bridge. In Chang F-K, editor, Structural Health Monitoring 2005: Advances and challenges for implementation. 2005. p. 299-306 https://doi.org/10.13140/2.1.4309.6645
Omenzetter, Piotr ; Brownjohn, James M W. / A seasonal ARIMAX time series model for strain-temperature relationship in an instrumented bridge. Structural Health Monitoring 2005: Advances and challenges for implementation. editor / Fu-Kuo Chang. 2005. pp. 299-306
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