Effect of Solar Radiation on Suspension Bridge Performance

Westgate, Robert; Koo, Ki-Young; Brownjohn, James

doi:10.1061/(asce)be.1943-5592.0000668

Cited by 61 publications

(30 citation statements)

References 33 publications

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“…The steel temperature is taken at the Aust abutment, and not at the suspension cable. Previous research has shown that the temperatures at two such locations can vary (Westgate et al 2014). Location A has a higher correlation than location B with the temperature values, and is seen to correlate at a value of 0.8747 with the air temperature.…”

Section: Discussionmentioning

confidence: 87%

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Correlated GNSS and temperature measurements at 10-minute intervals on the Severn Suspension Bridge

2017

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Global Navigation Satellite System (GNSS) data were gathered on the 998-m-long Severn Suspension Bridge main span. The antennas were located on the tops of the four support towers, as well as five locations on the suspension cables; data were gathered at rates of 10 and 20 Hz. In addition, air and steel temperatures were gathered every 10 min. The GNSS data were processed in an On The Fly manner relative to a reference receiver located on a fixed position adjacent to the Bridge, and the resulting dataset was compared to the air and steel temperature data measurements, and correlations reported. Moving average filters that eliminate shortterm movements due to wind loading and traffic loading were applied to the GNSS data, resulting in the longer-term deflections due to temperature changes every 10 min. The temperature over the 3 days varied by up to 10°C, and movements of the order of decimetres were seen. Clear numerical correlations between the changes in temperature and the changes in height are presented when analysed at these 10-min intervals, suggesting that temperature compensation in structural health monitoring systems could be readily applied, resulting in a sustainable structure.

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Section: Discussionmentioning

confidence: 87%

“…The effect of solar radiation (Westgate et al 2014) was analysed on the Tamar Bridge, UK. The Tamar Suspension Bridge has a main span length of 335 m. The bridge deck and suspension cables were analysed for the effect of solar radiation.…”

Section: Introductionmentioning

confidence: 99%

Correlated GNSS and temperature measurements at 10-minute intervals on the Severn Suspension Bridge

2017

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“…As with the wind simulation, this approach is extremely crude given that temperatures vary with locationthroughout the box, on the road surface and in the cables, for which data are not available. There will also be temporal variation due to varying sun azimuth and elevation and radiation intensity (Westgate at al., 2014). However the simulation matches the measurement very well for longitudinal deformation.…”

Section: Simulated Resultsmentioning

confidence: 99%

Structural identification of Humber Bridge for performance prognosis

Rahbari¹,

Jin²,

Koo³

2015

Smart Structures and Systems

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Structural identification or St-Id is 'the parametric correlation of structural response characteristics predicted by a mathematical model with analogous characteristics derived from experimental measurements'. This paper described a St-Id exercise on Humber Bridge that adopted a novel two-stage approach to first calibrate and then validate a mathematical model. This model was then used to predict effects of wind and temperature loads on global static deformation that would be practically impossible to observe.The first stage of the process was an ambient vibration survey in 2008 that used operational modal analysis to estimate a set of modes classified as vertical, torsional or lateral. In the more recent second stage a finite element model (FEM) was developed with an appropriate level of refinement to provide a corresponding set of modal properties. A series of manual adjustments to modal parameters such as cable tension and bearing stiffness resulted in a FEM that produced excellent correspondence for vertical and torsional modes, along with correspondence for the lower frequency lateral modes.In the third stage traffic, wind and temperature data along with deformation measurements from a sparse structural health monitoring system installed in 2011 were compared with equivalent predictions from the partially validated FEM.The match of static response between FEM and SHM data proved good enough for the FEM to be used to predict the un-measurable global deformed shape of the bridge due to vehicle and temperature effects but the FEM had limited capability to reproduce static effects of wind. In addition the FEM was used to show internal forces due to a heavy vehicle to to estimate the worst-case bearing movements under extreme combinations of wind, traffic and temperature loads.The paper shows that in this case, but limitations, such a two-stage FEM calibration/validation process can be an effective tool for performance prognosis. KeywordsSuspension bridge structural identification model updating modal test temperature vehicle wind static 2

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“…Westgate and Brownjohn [40] analysis indicates that the Tamar bridge natural frequencies are sensitive to the cables initial strain; justifying the responses chosen in the current publication. Similarly, Westgate et al [39] has shown that the mid-span displacement is sensitive to the stiffness of the thermal expansion gap bearings. These analyses are based on a complex full-scale FE model of the Tamar bridge which has been developed using ANSYS parametric design language (APDL).…”

Section: Simulation Of Thermal and Traffic Effects In The Tamar Bridgmentioning

confidence: 87%

Modular Bayesian damage detection for complex civil infrastructure

Jesus

Brommer

Westgate

et al. 2019

J Civil Struct Health Monit

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We address the problem of damage identification in complex civil infrastructure with an integrative modular Bayesian framework. The proposed approach uses multiple response Gaussian processes to build an informative yet computationally affordable probabilistic model, which detects damage through inverse updating. Performance of structural components associated with parameters of the developed model was quantified with a damage metric. Particular emphasis is given to environmental and operational effects, parametric uncertainty and model discrepancy. Additional difficulties due to usage of costly physics-based models and noisy observations are also taken into account. The framework has been used to identify a reduction of a simulated cantilever beam elastic modulus, and anomalous features in main/stay cables and bearings of the Tamar bridge. In the latter case study, displacements, natural frequencies, temperature and traffic monitored throughout one year were used to form a reference baseline, which was compared against a current state, based on one month worth of data. Results suggest that the proposed approach can identify damage with a small error margin, even under the presence of model discrepancy. However, if parameters are sensitive to environmental/operational effects, as observed for the Tamar bridge stay cables, false alarms might occur. Validation with monitored data is also highlighted and supports the feasibility of the proposed approach.

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Effect of Solar Radiation on Suspension Bridge Performance

Abstract: 5Observations on a UK suspension bridge show that thermal expansion and contraction cycles 6 do not follow simple linear relationships with a single temperature value, and that time lag

Cited by 61 publications

References 33 publications

Correlated GNSS and temperature measurements at 10-minute intervals on the Severn Suspension Bridge

Correlated GNSS and temperature measurements at 10-minute intervals on the Severn Suspension Bridge

Structural identification of Humber Bridge for performance prognosis

Modular Bayesian damage detection for complex civil infrastructure

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