Structural response of a concrete cable-stayed bridge under thermal loads

Tomé, Emanuel Sousa; Pimentel, Mário; Figueiras, Joaquim

doi:10.1016/j.engstruct.2018.09.029

Cited by 46 publications

(17 citation statements)

References 34 publications

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“…In a previous work, it was demonstrated that the mean of the readings of the four temperature sensors embedded in the monitored cross sections are good estimators of the uniform temperature component (the location of the temperature sensors in one of the reference cross sections can be found in Figure c,d). Although it was demonstrated that it is not possible to obtain good estimators of the linear temperature components using the available sets of temperature sensors, the linear temperature component has shown to have a low weight in the structural response of the Corgo Bridge . Indeed, the uniform temperature component is shown to be responsible for more than 90% of the structural response to thermal loads.…”

Section: Application To the Case Studymentioning

confidence: 95%

“…A comprehensive structural monitoring system was implemented in the Corgo Bridge, with a particular focus on the central subviaduct . Examples of the readings provided by the system can be found in Sousa Tomé et al In the present work, only a subset of sensors will be considered, namely, those providing the vertical displacements of the deck, forces in the stay cables, concrete, and stay cable temperatures. The six vertical displacements are measured with a hydrostatic levelling system, with the reference reservoir and sensor located at pylon P18.…”

Section: Case Study: Corgo Bridgementioning

confidence: 99%

“…Damage scenarios involving cross‐sectional area reduction of the stay cables are numerically simulated to evaluate the damage detection ability. The numerical simulation is performed using a previously validated finite element model of the bridge . The damage is introduced in the model, and the obtained numerical variations in the sensors are superposed to the real data being acquired by the SHM system.…”

Section: Application To the Case Studymentioning

confidence: 99%

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Online early damage detection and localisation using multivariate data analysis: Application to a cable‐stayed bridge

Tomé

Pimentel

Figueiras

2019

Struct Control Health Monit

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An online data-based methodology for early damage detection and localisation under the effects of environmental and operational variations (EOVs) is proposed. The methodology is described in detail and implemented in a large prestressed concrete cable-stayed bridge of which 3.5 years of data are available. The effects of EOVs are suppressed by the combined application of two well-established multivariate data analysis methods: multiple linear regression and principal component analysis. Criteria for the systematic choice of the predictor variables and the number of principal components to retain are proposed. Because the bridge is new and sound, the experimental time series are corrupted with numerically simulated damage scenarios in order to evaluate the damage detection ability. It is demonstrated that the sensitivity to damage is increased when daily, 2-day, or 3-day averaged data are used instead of hourly data. The effectiveness of the proposed methodology is also demonstrated with the detection of a real, small, and temporary sensor anomaly.The implemented methodology has revealed to be robust and efficient, presenting a contribution to the transition of structural health monitoring from academia to industry. HIGHLIGHTS• Early damage detection and localisation in a cable-stayed bridge.• Environmental, operational, and long-term variations suppression.• Three years and half of continuous experimental data.• Transition of structural health monitoring technology from academia to industry.KEYWORDS cable-stayed bridges, damage detection, damage localisation, environmental and operational variations, long-term effects, structural health monitoring

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Section: Application To the Case Studymentioning

confidence: 95%

Section: Case Study: Corgo Bridgementioning

confidence: 99%

Section: Application To the Case Studymentioning

confidence: 99%

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Online early damage detection and localisation using multivariate data analysis: Application to a cable‐stayed bridge

Tomé

Pimentel

Figueiras

2019

Struct Control Health Monit

Self Cite

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“…Temperature action causes considerable stress and deformation. These thermal effects are likely to induce cracking, support and expansion joint damage, and even collapse (Potgieter and Gamble, 1989;Catbas et al, 2008;Cross et al, 2013;Abid et al, 2016;Kromanis and Kripakaran, 2016;Sousa Tomé et al, 2018). In this section, the temperature stress of the FGC tower under the effect of gradient temperature load and hydration heat effect is studied, respectively.…”

Section: The Thermal Stress Of the Fgc Towermentioning

confidence: 99%

Mechanical Behavior of the Novel Gradient Concrete Tower of a Cable-Stayed Bridge

et al. 2021

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In this paper, the novel gradient concrete is innovatively applied to the bridge towers of Chizhou Yangtze River Bridge to solve the cracking and insufficient durability problems of concrete towers. Fiber-reinforced concrete is used in the outer functional area of the bridge tower, to significantly improve its crack resistance during construction and service. Moreover, the integrated design of anti-cracking and mechanical properties of tower materials is achieved. To study the performance of the novel functional gradient concrete (FGC) tower, the mechanical properties of the FGC tower material are tested, and the overall finite element stress is analyzed. Based on the material properties, the mechanical behavior of the cable-stayed bridge tower is studied. The temperature and stress of the FGC tower during the generation of the hydration heat are compared with that of the ordinary concrete tower. The crack resistance of the FGC tower is analyzed by the finite element method. The results show that the FGC tower has good mechanical properties and durability for the cable-stayed bridge towers.

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“…Numerous works that address model validation can be found in the literature, using not only direct measurements under static and dynamic loads, such as strains, displacements and accelerations [12,13], but also, and more commonly, modal information, such as natural frequencies, damping and mode shapes based on acceleration measurements [10,[14][15][16]. Tomé et al [17] showed the need to develop a complex 3D beam FE model to successfully analyse the static structural response of a concrete cable-stayed bridge equipped with a permanent monitoring system, under the effects of temperature variations. Several authors perform the validation of the dynamic models of railway bridges under traffic loads using only the extreme values of the acceleration records [18,19].…”

Section: Introductionmentioning

confidence: 99%

Progressive numerical model validation of a bowstring-arch railway bridge based on a structural health monitoring system

Meixedo

Ribeiro

Santos

et al. 2021

J Civil Struct Health Monit

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This paper presents a progressive numerical model validation of a bowstring-arch railway bridge based on the analysis of experimental data from different structural response measurements, namely, static deformations under environmental actions, modal vibrations, and transient dynamic responses under traffic loads. This work also addresses an integrated approach that uses structural health monitoring (SHM) measurements in combination with FE modelling to understand the structural behaviour of a long-span complex bridge. An in-situ, progressively-phased SHM system has provided a diverse set of data streams ranging from static and dynamic responses to the measurement of environmental and operational traffic loads. The first phase consists of defining a detailed baseline finite element (FE) model of the bridge, envisaging the initial condition of the structure immediately after construction, and its validation using modal parameters (natural frequencies and mode shapes) derived from an ambient vibration test. Since in-service deflections generally do not exercise the non-linear regime of the response of the bridge, the second phase focuses on the analysis of static response data and temperature measurements to validate the non-linear behaviour of the structural system, particularly at the bearing devices, under slow actions. The third and final phase addresses the dynamic analysis under traffic actions, which provides greater sensitivity in the detection of non-linear behaviour due to the effects of high amplitude actions induced by regular train loading profiles. In order to guarantee the accuracy of the baseline numerical model, particularly under temperature and traffic actions, it was necessary to use contact restrictions in some specific bearing devices. This improvement is in line with the structural changes detected in some bearing devices through visual inspections. As a result, an updated numerical model capable of reproducing the modal, static, and dynamic structural responses was achieved, showing a very good agreement between experimental and numerical data. In future applications, this updated numerical model will be useful for assessing the condition of the bridge under traffic loads, namely to identify damages and support the adoption of life cycle maintenance strategies based on the integration of SHM systems with (stochastic) load and failure models.

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Structural response of a concrete cable-stayed bridge under thermal loads

Cited by 46 publications

References 34 publications

Online early damage detection and localisation using multivariate data analysis: Application to a cable‐stayed bridge

Online early damage detection and localisation using multivariate data analysis: Application to a cable‐stayed bridge

Mechanical Behavior of the Novel Gradient Concrete Tower of a Cable-Stayed Bridge

Progressive numerical model validation of a bowstring-arch railway bridge based on a structural health monitoring system

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