Thermal field characteristic analysis of steel box girder based on long-term measurement data

Ding, Youliang; Zhou, Guangdong; Li, Aiqun; Gao-xin, Wang

doi:10.1007/s13296-012-2006-x

Cited by 55 publications

(31 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The researchers observed that the maximum temperature gradient in the steel section was more than twice the design specification. Additionally, the behavior temperature curves along the cross-section of girder were a high degree of correlation with the instantaneous air temperatures depending on long-term temperature data accomplished by Ding et al (2012) [10].…”

mentioning

confidence: 89%

“…From this consideration, the heat transfer with surface-to-surface radiation interface under the hemi-cube method was activated. However, the irradiative heat fluxes at the exposed surfaces of the composite box-girder (as a result of the mutual visions between them) under hemi-cube method modeled in COMSOL can be expressed by the following expression: (10) where is the reciprocal (mutual) irradiation arriving from other surfaces in Btu/hr/ft 2 (is a function of the radiosity at any other point in view), and is the ambient view factor, i.e. prescribes the fraction of view from each point that is not covered by other boundaries.…”

Section: Finite Element Thermal Analysismentioning

confidence: 99%

See 1 more Smart Citation

Effect of Number and Distribution of Shear Connectors on the Composite Box-Girder Bridge Under Environmental Thermal Conditions

Numan¹,

Obed²,

Özakça³

2019

JEASD

View full text Add to dashboard Cite

This research deals with the thermal and thermo-structural behavior of concrete-steel composite box-girder bridge under the amalgamation of environmental thermal loads: global solar radiation, ambient air temperature, and wind speed. To achieve this goal, the experimental composite box-girder bridge segment with a full-scale cross-section erected in a campus of Gaziantep University, Turkey; and the series of numerical thermal analyses are conducted. The hourly fluctuations of the numerical temperatures matched well with the experimental ones. This research also submits a theoretical extensive study of the effect of shear connector's number and arrangement at the concrete-steel interface on the hourly vertical thermal movements with an emphasis on the degree of composite interaction. Under partial interaction, the hourly vertical thermal displacements findings are presented to more visualize the design life of such constructions, as well as, the economic aspects as regards to climatic impacts.

show abstract

mentioning

confidence: 89%

Section: Finite Element Thermal Analysismentioning

confidence: 99%

Effect of Number and Distribution of Shear Connectors on the Composite Box-Girder Bridge Under Environmental Thermal Conditions

Numan¹,

Obed²,

Özakça³

2019

JEASD

View full text Add to dashboard Cite

show abstract

“…Variation of temperatures in structures significantly influences the material properties (for example, Young’s modulus [ 32 ]), static characteristics (for example, deflection and deformation [ 32 ]), dynamic characteristics (for example, structural frequencies [ 33 , 34 , 35 ], damping ratios and mode shapes [ 36 ]) and boundary conditions [ 37 ]. Temperatures, including ambient air temperature and structural component temperature, of a multi-sensor of a structure are uncertain due to the fact that they are affected by not only the ambient factors, including air temperature variation, solar radiation intensity, humidity and wind speed, but also the complex processes of heat transfer [ 38 ]. Practically, UQ in temperatures are conducted based on temperature data measured from multiple sensors installed in different locations of a monitored structure [ 38 , 39 , 40 , 41 , 42 ].…”

Section: Illustrative Examplesmentioning

confidence: 99%

Copula-Based Uncertainty Quantification (Copula-UQ) for Multi-Sensor Data in Structural Health Monitoring

Liu

Shen

2020

Sensors

View full text Add to dashboard Cite

The problem of uncertainty quantification (UQ) for multi-sensor data is one of the main concerns in structural health monitoring (SHM). One important task is multivariate joint probability density function (PDF) modelling. Copula-based statistical inference has attracted significant attention due to the fact that it decouples inferences on the univariate marginal PDF of each random variable and the statistical dependence structure (called copula) among the random variables. This paper proposes the Copula-UQ, composing multivariate joint PDF modelling, inference on model class selection and parameter identification, and probabilistic prediction using incomplete information, for multi-sensor data measured from a SHM system. Multivariate joint PDF is modeled based on the univariate marginal PDFs and the copula. Inference is made by combing the idea of the inference functions for margins and the maximum likelihood estimate. Prediction on the PDF of the target variable, using the complete (from normal sensors) or incomplete information (due to missing data caused by sensor fault issue) of the predictor variable, are made based on the multivariate joint PDF. One example using simulated data and one example using temperature data of a multi-sensor of a monitored bridge are presented to illustrate the capability of the Copula-UQ in joint PDF modelling and target variable prediction.

show abstract

“…Lee and Kalkan [14] and Liu et al [15] proposed the temperature gradient patterns that can be utilized to evaluate the effect of thermal gradients by experimental analysis. Ding et al [16] and Ding and Wang [17] estimated the extreme temperature differences in steel box girder based on long-term measurement data collected by means of the structural health monitoring system employing the extreme value analysis. Hirst [18], Ho and Liu [19], and Lucas et al [20] analyzed the extreme thermal loadings covering the typical climatic regimes on the basis of the parameter records from the weather bureau by adopting the statistical analysis methodology, which can be used to calculate further extreme temperature gradients.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Sunshine Temperature Field of Steel Box Girder Based on Monitoring Data

Hao

Zhong³

et al. 2020

Advances in Civil Engineering

View full text Add to dashboard Cite

In this study, based on the recorded meteorological data of the bridge site, a spatial-temporal temperature model of a 3-span steel box girder is developed through applying the thermal analysis software TAITHERM. Firstly, the rationality and dependability of the proposed spatial-temporal temperature model are adequately verified by means of implementing the comparison with the measurement data. Then the temperature distribution of the steel box girder is analyzed and discussed in detail. The analytical results show that the time of the bottom of pavement reaching the daily maximum temperature lags behind the top of pavement by 2 or 3 hours due to the thermal insulation effect of pavement, and the maximum vertical temperature gradient of the structure exceeds the existing standards. Moreover, with the help of the analytical model, a parametric study of comprehensively meteorological factors is also performed. The results of the sensitivity analysis indicate that solar radiation is the most significant factor affecting the maximum vertical temperature gradient of the steel box girder, followed by air temperature and wind speed. After that, with the representative values of the extreme meteorological parameters during 100-year return period in Wuhan City in China being considered as the thermal boundary conditions, the temperature distribution of the steel box girder is further studied for investigation purpose. The results demonstrate that the heat conduction process of the steel box girder has distinct “box-room effect,” and it is of great necessity to consider both the actual weather conditions at the bridge site and the “box-room effect” of steel box girder when calculating thermal behaviors of bridge structures. Finally, it is related that the particular method proposed in this paper possesses a satisfactory application prospect for temperature field analysis upon various types of bridges in different regions.

show abstract

Thermal field characteristic analysis of steel box girder based on long-term measurement data

Cited by 55 publications

References 18 publications

Effect of Number and Distribution of Shear Connectors on the Composite Box-Girder Bridge Under Environmental Thermal Conditions

Effect of Number and Distribution of Shear Connectors on the Composite Box-Girder Bridge Under Environmental Thermal Conditions

Copula-Based Uncertainty Quantification (Copula-UQ) for Multi-Sensor Data in Structural Health Monitoring

Analysis of Sunshine Temperature Field of Steel Box Girder Based on Monitoring Data

Contact Info

Product

Resources

About