Temperature effect on vibration properties of civil structures: a literature review and case studies

Xia, Yong; Chen, Bo; Weng, Shun; Ni, Yiqing; Xu, You Lin

doi:10.1007/s13349-011-0015-7

Cited by 254 publications

(150 citation statements)

References 43 publications

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“…Most problematic of such variables is temperature [89], with many techniques having been developed over the years dedicated to estimating and mitigating its influence; generally through various data normalisation techniques, see Sohn [90] and Xia et al [96]. The present section details techniques that can be employed when environmental and operational data is available (regression models) and when it is not (pattern recognition).…”

Section: Advancements To Environmental and Operational Challengesmentioning

confidence: 99%

A State of the Art Review of Modal-Based Damage Detection in Bridges: Development, Challenges, and Solutions

2017

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Abstract:Traditionally, damage identification techniques in bridges have focused on monitoring changes to modal-based Damage Sensitive Features (DSFs) due to their direct relationship with structural stiffness and their spatial information content. However, their progression to real-world applications has not been without its challenges and shortcomings, mainly stemming from: (1) environmental and operational variations; (2) inefficient utilization of machine learning algorithms for damage detection; and (3) a general over-reliance on modal-based DSFs alone. The present paper provides an in-depth review of the development of modal-based DSFs and a synopsis of the challenges they face. The paper then sets out to addresses the highlighted challenges in terms of published advancements and alternatives from recent literature.

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Section: Advancements To Environmental and Operational Challengesmentioning

confidence: 99%

A State of the Art Review of Modal-Based Damage Detection in Bridges: Development, Challenges, and Solutions

2017

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“…For example, while the elastic modulus of concrete generally varies with temperature, humidity and age [9], these variations are seldom taken into account in a PB model and in turn, affect the reliability of the St-Id process. Incorporating effects of ambient conditions, which are now recognized to significantly affect structural behaviour, in PB models is also difficult [10], [11]. Therefore robust approaches for measurement interpretation that are generic and readily applicable without requiring detailed a priori knowledge of structures have tremendous value in the context of extracting information from monitoring for bridge management.…”

Section: Introductionmentioning

confidence: 99%

SHM of bridges: characterising thermal response and detecting anomaly events using a temperature-based measurement interpretation approach

Kromanis

Kripakaran

2016

J Civil Struct Health Monit

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Abstract:A major bottleneck preventing widespread use of Structural Health Monitoring (SHM) systems for bridges is the difficulty in making sense of the collected data. Characterising environmental effects in measured bridge behaviour, and in particular the influence of temperature variations, remains a significant challenge. This paper proposes a novel data-driven approach referred to as Temperature-Based Measurement Interpretation (TB-MI) approach to solve this challenge. The approach is composed of two key steps -(i) characterisation of thermal effects in bridges using a methodology referred to as Regression-Based Thermal Response Prediction (RBTRP) methodology, and (ii) detection of anomaly events by analysing differences between measured and predicted structural behaviour. Measurements from a laboratory truss structure that is setup to simulate a range of structural scenarios are employed to evaluate the performance of the TB-MI approach. The study examines how the predictive capability of the RBTRP methodology is influenced by dimensionality reduction and measurement down-sampling, which are common pre-processing techniques used to deal with high spatial and temporal density in measurements. It also proposes a novel anomaly detection technique referred to as signal subtraction method that detects anomaly events from timeseries of prediction errors, which are computed as the difference between in-situ measurements and predictions obtained using the RBTRP methodology. Results demonstrate that the TB-MI approach has potential for integration within data interpretation frameworks of SHM systems of full-scale bridges. Keywords: structural health monitoring; thermal effects; data-driven methods; anomaly detection; measurement interpretation. Rolands AcknowledgmentsThe authors would like to express their gratitude to Bill Harvey Associates and Pembrokshire County Council for providing access to the measurements of the Cleddau Bridge, and to Elena Barton (National Physical Laboratory) for providing the data from the National Physical Laboratory Footbridge project.

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“…Rather fewer studies have examined the link between thermal loads (diurnal and seasonal temperature variations) and dynamic properties, which are reviewed by Xia, Chen, Weng, Ni and Xu (2012). Of these only a few studies have reported such links in suspension bridges (Oh et al, 2009;Miao et al, 2011;Ding & Li, 2011).…”

Section: Introduction: Variations In Bridge Loading and Dynamic Respomentioning

confidence: 99%

Effect of vehicular loading on suspension bridge dynamic properties

Westgate

Koo

2014

Structure and Infrastructure Engineering

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Effect of vehicular loading on suspension bridge dynamic propertiesSince the 1970s many researchers have attempted to use changes in natural frequencies as means for condition assessment of large civil engineering structures such as bridges, but have faced the challenge of decoupling frequency variations apparently caused by changing operational conditions. In the case of the Tamar Bridge in southwest England, time series of natural frequencies exhibit diurnal variations resulting from a combination of thermal and vehicular loading, whose effects would need to be compensated for in dynamics-based assessment.By examination of several years of monitoring data, the effects of traffic mass have been characterised and compared with other operational effects. While temperature changes appear to have a greater influence for lateral modes, traffic mass is a strong factor in all modes and the dominant factor for the vertical and torsional modes evaluated.Physics-based explanations for the variable effects of vehicle mass have been sought using a finite element model calibrated against experimental data. As a caution for performance prediction in structural dynamics, while acceptable reconciliation of natural frequencies from FE model and measurements was achievable, reconciling simulated effects of changing mass with observed behaviour has not been straightforward due to the complexity of the retrofitted suspension bridge structure studied.Keywords: bridges, long-span; bridges, suspension; cables; damage assessment; finite element method; roads & highways; structural dynamics; structural engineering; suspended structures; traffic engineering. Introduction: variations in bridge loading and dynamic response characteristicsStructural Health Monitoring (SHM) implementations on civil infrastructure (Brownjohn, 2007) have many purposes that include the tracking of time varying loads and responses in order to identify, characterise and diagnose anomalous performance. In particular, changes in dynamic response parameters, e.g. modal properties such as natural frequencies, have been regarded by many researchers as a possible indicator of structural 'damage' (Brownjohn et al., 2011). SHM systems may also be used to validate design assumptions, for example regarding thermal and vehicular loads. Hence there are strong motives for studying time series of structural loads (wind, vehicles and temperature) and dynamic response parameters and their relationships.For long span bridges in particular wind-structure interaction can result in modification of modal parameters and lead to catastrophic instability due to the phenomenon of aero-elasticity (Wyatt, 1992). Such effects can be observed not only in wind tunnel testing but also at full scale, using SHM systems (Diana at al., 1992) and there is a large body of research on the topic.Rather fewer studies have examined the link between thermal loads (diurnal and seasonal temperature variations) and dynamic properties, which are reviewed by Xia, Chen, Weng, Ni and Xu (2012). Of these only a...

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Temperature effect on vibration properties of civil structures: a literature review and case studies

Cited by 254 publications

References 43 publications

A State of the Art Review of Modal-Based Damage Detection in Bridges: Development, Challenges, and Solutions

A State of the Art Review of Modal-Based Damage Detection in Bridges: Development, Challenges, and Solutions

SHM of bridges: characterising thermal response and detecting anomaly events using a temperature-based measurement interpretation approach

Effect of vehicular loading on suspension bridge dynamic properties

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