Experimental study and numerical simulation of temperature gradient effect for steel-concrete composite bridge deck

Wang, Da; Tan, Benkun; Wang, Xie; Zhang, Zhenhao

doi:10.1177/00202940211007166

Cited by 13 publications

(5 citation statements)

References 25 publications

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“…An additional temperature effect is added only for the generation of the dataset, introducing a discrepancy between the generated data and the computational model. During the time that the truck would pass over the bridge, it is reasonable to assume a change in the temperature of the top surface of the deck 49 . This can be, for example, due to the incidence of the sun over it.…”

Section: ✁✂✄☎✆ ✝✁✞✟ ✠✡☛✁☞✌✞✍✄✁☎ ✎✡☎✎✁☞mentioning

confidence: 99%

A Bayesian Framework for Simulation‐based Digital Twins of Bridges

Arcones,

Weiser,

Koutsourelakis

et al. 2023

ce papers

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Simulation‐based digital twins have emerged as a powerful tool for evaluating the mechanical response of bridges. As virtual representations of physical systems, digital twins can provide a wealth of information that complements traditional inspection and monitoring data. By incorporating virtual sensors and predictive maintenance strategies, they have the potential to improve our understanding of the behavior and performance of bridges over time. However, as bridges age and undergo regular loading and extreme events, their structural characteristics change, often differing from the predictions of their initial design. Digital twins must be continuously adapted to reflect these changes. In this article, we present a Bayesian framework for updating simulation‐based digital twins in the context of bridges. Our approach integrates information from measurements to account for inaccuracies in the simulation model and quantify uncertainties. Through its implementation and assessment, this work demonstrates the potential for digital twins to provide a reliable and up‐to‐date representation of bridge behavior, helping to inform decision‐making for maintenance and management.

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Section: ✁✂✄☎✆ ✝✁✞✟ ✠✡☛✁☞✌✞✍✄✁☎ ✎✡☎✎✁☞mentioning

confidence: 99%

A Bayesian Framework for Simulation‐based Digital Twins of Bridges

Arcones,

Weiser,

Koutsourelakis

et al. 2023

ce papers

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“…It is not clear how these may be applicable in the current and projected climates. Various, relatively newer, studies are available in the literature that propose temperature distribution/gradient over the bridges (e.g., [1,10,11,12]) which also question the accuracy of temperature gradient models in applicable codes (i.e., AASHTO). Further studies on the estimation of temperature distribution on CSSG bridges accounting for the impacts of climate change may be needed.…”

Section: -3mentioning

confidence: 99%

Temperature Effects on Concrete Slab on Steel Girder Bridges with Malfunctioning Expansion Joints

Ozkan¹,

Almansour²

2023

Proceedings of the 8th International Conference On Civil, Structural and Transportation Engineering (ICCSTE 2023)

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For both the design of new bridges and the evaluation of existing bridges, the quantification of the effects of thermal loads on structural behaviour is an important factor that needs to be taken into account. With the projected increase in average temperatures in Canada due to climate change, combined with deterioration, the demand on bridge infrastructure is expected to increase. Among the various deterioration issues in bridges, one of the most common is the malfunctioning of expansion joints. Due to the accumulation of debris and dirt in the joint, the axial movement of the bridge superstructure may be restrained, leading to axial forces at levels that the structural members are not originally designed for. It was also reported in the literature that the increasing temperature due to climate change may accelerate the overall deterioration rates and that of the expansion joints. This paper outlines a preliminary study on impacts of malfunctioning expansion joints on the structural behaviour and moment resistance of concrete slabs on steel girder (CSSG) bridges. A summary of temperature loads per the Canadian Highway Bridge Design Code (CHBDC) for various Canadian cities with different climates is first presented. A Finite Element Analysis (FEA) of a three-span continuous CSSG bridges is introduced and the results for axial load levels on this bridge with malfunctioning expansion joints are presented assuming that the bridge is situated at the location with the largest temperature loads among the locations considered. A brief literature review on the quantification of the moment resistance of CSSG bridges subject to interactions of axial force and shear is provided. Based on the FEA and literature review presented, future research considerations are proposed for temperature distribution and moment-shear-axial load interaction relationships on multi-span continuous CSSG bridges.

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“…Therefore, the feature points of the VTG curves in different vertical paths of the two types of models are extracted by considering the characteristics of the most adverse VTG and the VTG distribution at different moments in the annual period hourly temperature FEM calculation, respectively. Considering that the two types of steelconcrete composite beams are located in China, the most adverse VTG is stipulated in the Chinese code as shown in Figure 11 [39]. The year 2013/2020 hourly temperature fields of the two models were calculated (Case I is for the whole year 2013, and case II is for the whole year 2020.…”

Section: Feature Extraction Of Tg Curve 431 Vtgmentioning

confidence: 99%

Optimization Method of Temperature Measuring Point Layout for Steel-Concrete Composite Bridge Based on TLS-IPDP

et al. 2022

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An optimization method of temperature measurement point layout for steel-concrete composite bridges based on the total least squares improved piecewise Douglas–Peucker (TLS-IPDP) algorithm was proposed to solve the problem that the traditional temperature measurement data cannot reflect the actual temperature gradient (TG) due to the position of measurement points on different paths is not reasonable. The characteristic curves of TG for the most unfavorable period and annual period are extracted from the finite element model. The rationality of the proposed method is illustrated by two typical steel-concrete composite beams with steel plates and steel boxes. By improving the classical Douglas–Peucker (DP) algorithm, the TLS-IPDP algorithm proposed in this paper has a better approximation effect on the original data. Compared with the traditional temperature measuring point arrangement method, the TLS-IPDP algorithm optimized arrangement in this paper realized the measuring point arrangement with different variable spacing under different paths; the temperature gradient curve obtained was closer to the real temperature distribution, and had higher accuracy in the region with a large gradient. In addition, the proposed method has the function of manually specifying the location of feature points and reserving the required number. The optimized arrangement of measuring points can meet the requirements of measuring points number and measurement accuracy. The method presented in this paper can provide a useful reference for temperature data acquisition and sensor layout for health monitoring of steel-composite bridges.

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Experimental study and numerical simulation of temperature gradient effect for steel-concrete composite bridge deck

Cited by 13 publications

References 25 publications

A Bayesian Framework for Simulation‐based Digital Twins of Bridges

A Bayesian Framework for Simulation‐based Digital Twins of Bridges

Temperature Effects on Concrete Slab on Steel Girder Bridges with Malfunctioning Expansion Joints

Optimization Method of Temperature Measuring Point Layout for Steel-Concrete Composite Bridge Based on TLS-IPDP

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