Temperature Analysis of a Long-Span Suspension Bridge Based on Field Monitoring and Numerical Simulation

Zhou, Linren; Xia, Yong; Brownjohn, James; Koo, Ki-Young

doi:10.1061/(asce)be.1943-5592.0000786

Cited by 124 publications

(67 citation statements)

References 27 publications

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“…These cross-sections correspond to the concrete inner core wall at elevations of 32. 8 3,9,11,17,21,24,28,32,35,38,40, and 45 at the outer tubular structure. In addition to these temperature sensors on the structure, two more temperature sensors, one above the ground (around Section 1) and the other at the top of the tower (from the weather station), are used to measure the ambient temperature.…”

Section: Canton Towermentioning

confidence: 99%

“…The main components of several supertall structures are placed on or outside the curtain wall. The radiation and daily temperature fluctuations have a significant effect on the overall deflection and stresses, as well as the structural vibration characteristics, of these large-scale structures because of the indeterminacy and nonuniform distribution of temperature [1][2][3][4]. For a supertall structure, the temperature-induced daily movement may be similar to or even larger than the typhoon-induced motion [5].…”

Section: Introductionmentioning

confidence: 99%

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Field monitoring and numerical simulation of the thermal actions of a supertall structure

Xia

et al. 2016

Struct. Control Health Monit.

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Structural temperature is an important loading that must be considered during the design, construction, and safety assessment. The thermal action of supertall structures has rarely been investigated because of insufficient real measurement data, as compared with that on bridges. In this study, the thermal action of the 600-m-tall Canton Tower is investigated on the basis of the comprehensive long-term SHM system installed on the structure and the numerical simulation. First, the temperature model of the entire structure is derived by using the field monitoring and numerical heat transfer analysis data. In particular, (i) the temperature difference between different facades of the inner tube, (ii) the temperature difference profile of the outer tube, and (iii) the distribution of the temperature difference between the inner and outer tubes along the structural height are presented in detail. Results show that the nonuniform distribution of the temperature field between the different components of the structure is significant and should be carefully considered in the analysis of such a complex supertall structure. Second, the temperature effects on structural displacement, stress, and internal forces consisting of (i) the tower top horizontal displacement during different seasons, (ii) the stresses of different levels/components, and (iii) the bending moments/shear forces along the structural height are investigated. The simulated results obtained by using the global finite element model of the tower are verified through a comparison with the measurements. This study provides first-hand data for the design of supertall structures in the tropical region of China.

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Section: Canton Towermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Field monitoring and numerical simulation of the thermal actions of a supertall structure

Xia

et al. 2016

Struct. Control Health Monit.

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“…Xu et al found that the measured first natural frequency was 10% higher than the theoretical counterpart and explained that this difference was caused by the unclear understanding of the boundary conditions. Moreover, severe damage of expansion joints may restrain the movement of the bridge, generating large internal forces and causing damage to the bridge . Kromanis et al found that the transversal temperature gradient of the Cleddau bridge caused plan bending of the box girder and led to degradation of the bearing.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, severe damage of expansion joints may restrain the movement of the bridge, generating large internal forces and causing damage to the bridge. 10 Kromanis et al 11 found that the transversal temperature gradient of the Cleddau bridge caused plan bending of the box girder and led to degradation of the bearing.…”

mentioning

confidence: 99%

Condition analysis of expansion joints of a long‐span suspension bridge through metamodel‐based model updating considering thermal effect

Xia

Wan

et al. 2020

Struct Control Health Monit

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Summary Expansion joints of bridges are vulnerable to damage due to the thermal expansion and contraction, vehicle traffic, and so forth. Currently, the temperature–displacement relationship model may be the only qualitative method for condition evaluation of bridge expansion joints using the field monitoring data. The quantitative assessment based on the finite element model updating techniques is heavy computational burden and time consuming. Therefore, a Gaussian process (GP) metamodel‐based model updating method is proposed in this study and performed for the quantitative identification on the boundary condition of the expansion joints of Jiangyin Suspension Bridge using the long‐term displacement and temperature monitoring data. At first, the relationship between the longitudinal boundary stiffness (LBS) and structural temperature is formulated on the basis of thermal effects of the bridge deck. The range of LBS is approximately estimated by the regression coefficients from 1‐year monitoring data and is used as initial bounds for the subsequent model updating procedure. The GP metamodel is formulated to map the relationship between the LBS and the longitudinal displacements under the thermal effects. The LBS identification of the Jiangyin Suspension Bridge is performed within the fast‐running GP metamodel. The results show that the longitudinal displacements using the updated LBS are in good agreement with the measurements, which verifies the effectiveness of GP metamodel‐based model updating method in identifying the LBS of the long‐span suspension bridge.

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“…The structural health monitoring system is designed to monitor critical civil structures, e.g. long-span 24 bridges and skyscrapers, and to assess their in-service performance. Several main purposes of SHM are 25 summarized as: to provide update on bridge condition during construction stage; to monitor structural 26 operational performance under real loading conditions; to detect damage or deterioration and thereby give guidelines of maintenance activities.…”

mentioning

confidence: 99%

Thermal strain extraction methodologies for bridge structural condition assessment

Zhu

Jesus³

et al. 2018

Smart Mater. Struct.

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This paper presents a feature extraction method to uncover the temperature effects on bridge responses, 5 which combines mode decomposition, data reduction and blind separation. For mode decomposition, 6 empirical mode decomposition (EMD) and ensemble empirical mode decomposition (EEMD) have 7 been selected, followed by principal component analysis (PCA) for data size compression. The 8 independent component analysis (ICA) is then employed for blind separation. The unique feature of the 9 proposed method is the blind separation, which means temperature-induced response can be extracted 10 from the mixed structural responses, without any prior information of the loading conditions and 11 structural physical models. This study further evaluates the effects of extracting temperature-induced 12 response on damage detectability when using Moving Principal Component Analysis (MPCA). The 13 numerical analysis of a truss bridge is first used to evaluate the proposed method for thermal feature 14 extraction, followed by a real truss bridge test in the structural laboratory in University of Warwick. 15 Results from the numerical case study show that the method enables the separation of temperature-16 induced response, and furthermore, the EEMD, in mode decomposition, has a positive influence on the 17 blind separation than EMD, when combined with PCA and ICA. Finally, the real truss bridge test 18 demonstrates that the feature extraction method can enhance the probability of MPCA to uncover the 19 damage, as the MPCA fails without proposed method. 20

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Temperature Analysis of a Long-Span Suspension Bridge Based on Field Monitoring and Numerical Simulation

Cited by 124 publications

References 27 publications

Field monitoring and numerical simulation of the thermal actions of a supertall structure

Field monitoring and numerical simulation of the thermal actions of a supertall structure

Condition analysis of expansion joints of a long‐span suspension bridge through metamodel‐based model updating considering thermal effect

Thermal strain extraction methodologies for bridge structural condition assessment

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