Effect of the Temperature on the Modal Properties of a Steel Railroad Bridge

Venglár, Michal; Lamperová, Katarína

doi:10.2478/sjce-2021-0001

Cited by 7 publications

(6 citation statements)

References 24 publications

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“…A similar phenomenon was observed at the Saint Michel Bridge [17]. Michal and Katarína [18] used the Random Subspace Method to identify acceleration data from a steel bridge and processed it in conjunction with temperature data. They observed that the first two frequency modes of the structure increased with rising temperature, and some frequencies showed non-linearity when fitted with linear regression functions against temperature data.…”

Section: Introductionsupporting

confidence: 53%

Correlation Analysis of Large-Span Cable-Stayed Bridge Structural Frequencies with Environmental Factors Based on Support Vector Regression

Xu,

Xiao,

Liu

et al. 2023

Sensors

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The dynamic characteristics of bridge structures are influenced by various environmental factors, and exploring the impact of environmental temperature and humidity on structural modal parameters is of great significance for structural health assessment. This paper utilized the Covariance-Driven Stochastic Subspace Identification method (SSI-COV) and clustering algorithms to identify modal frequencies from four months of acceleration data collected from the health monitoring system of the Jintang Hantan Twin-Island Bridge. Furthermore, a correlation analysis is conducted to examine the relationship between higher-order frequency and environmental factors, including temperature and humidity. Subsequently, a Support Vector Machine Regression (SVR) model is employed to analyze the effects of environmental temperature on structural modal frequencies. This study has obtained the following conclusions: 1. Correlation analysis revealed that temperature is the primary influencing factor in frequency variations. Frequency exhibited a strong linear correlation with temperature and little correlation with humidity. 2. SVR regression analysis was performed on frequency and temperature, and an evaluation of the fitting residuals was conducted. The model effectively fit the sample data and provided reliable predictive results. 3. The original structural frequencies underwent smoothing, eliminating the influence of temperature-induced frequency data generated by the SVR model. After eliminating the temperature effects, the fluctuations in frequency within a 24 h period significantly decreased. The data presented in this paper can serve as a reference for further health assessments of similar bridge structures.

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Section: Introductionsupporting

confidence: 53%

Correlation Analysis of Large-Span Cable-Stayed Bridge Structural Frequencies with Environmental Factors Based on Support Vector Regression

Xu,

Xiao,

Liu

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

“…Moreover, other studies employed qualitative and quantitative methods based on surveys, interviews, and focus groups to identify the influence factors ( 43 – 45 ). Young et al ( 46 ) and Rudin-Brown et al ( 47 ) examined where drivers direct their attention while approaching the intersection and whether this differs between novice and experienced drivers. These studies, using a driving simulator, also compared the efficacy and drivers’ subjective perception of level crossing traffic control devices such as flashing lights with boom barriers and standard traffic lights.…”

Section: Related Workmentioning

confidence: 99%

“…In the same vein, Venglar ( 46 ) proposed an “Improved Transition Preparation Strategy” (ITPS) to enhance mobility and safety near crossings. This investigation added more logic tests to the ITPS algorithm, aiming to provide more green time for the conflicting phases with a train crossing.…”

Section: Related Workmentioning

confidence: 99%

Optimization-Based Traffic Safety Improvement Strategy for Autonomous Vehicle Driving at Level Crossings

Adane

Hou

Peng

et al. 2022

Transportation Research Record: Journal of the Transportation R

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Railway level crossings pose a serious threat to the safety and mobility of drivers traversing them. Globally, a significant number of traffic violations occur annually at level crossings. This study proposes an optimization-based autonomous vehicle (AV) driving strategy to improve the traffic safety of AVs at level crossings. First, an optimization model considering the operational constraints is developed. The cost function of the proposed optimization-based driving strategy is the time difference between the time required by the train to reach the level crossing and the time taken by the AV to complete the whole crossing maneuver. Second, a MATLAB simulation model is developed to validate the proposed driving strategy. Simulation results show that the proposed driving strategy delivers optimized AV driving without stoppage. The comparative study also shows that the proposed method improves driving performance. For instance, when a train is 1 m away from the light signal while the AV’s initial speed is 36 km/h, the time required for the AV to reach the speed limit sign is about 0.44 s, while the time required by the train to reach the car block area is 0.13 s. Thus, the AV is forced to stop and then go after the train leaves the level crossing. Contrary to this, the proposed method allows a safe passage of the vehicle within 1.66 s without stoppage. Most importantly, the driving strategy is a collision avoidance strategy without unnecessary enforcement of stop-and-go when AVs have the chance of crossing safely. Consequently, the optimization-based driving strategy both improves traffic safety and reduces traveling time.

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“…Since the bridge structure is always subjected to complex environmental effects, it is essential to assess the impact of environmental thermal effects on the structure itself (Nandan and Singh, 2014). However, medium and small span bridges on highways are mainly subjected to two types of variable loads, vehicle live action and temperature action (Venglár and Lamperová, 2021). And the temperature action is directly affected by climatic conditions (Shan et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Temperature distribution simulation and thermal properties investigation of hollow slab beam based on meteorological data

Zeng¹,

Song²,

Zhu³

2022

Front. Energy Res.

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Natural environment has a great impact on the performance of bridge structures, such as the ambient temperature, solar radiation, climate extremes and so on. Due to the lack of regional pertinence in the provisions of the existing specifications on the temperature load standard, and the lack of verification of its adaptability of hollow slab beam bridge in the reconstruction and expansion project, it is necessary to study the temperature load of the beam based on the temperature data of the area where the bridge site is located. Based on the measured meteorological data, the cross-section temperature distribution characteristics of the hollow slab beam and the temperature load effect were investigated. The vertical temperature load model of the short and medium-span hollow slab beam was proposed according to the simplified temperature curve. Firstly, based on the annual measured meteorological data, the plane model was established to analyze the temperature distribution characteristics of the hollow slab beam. Secondly, according to the temperature field distribution of the beam cross-section, the solid model of 16 m hollow slab beam was established to analyze the distribution of the temperature load effect. Finally, based on the preliminarily proposed temperature curve, vertical temperature load models were proposed by introducing the theory of extreme value extrapolation. The studies have shown that the temperature of the hollow slab beam is approximately horizontal distributed, and temperature extreme value appear at the location of the beam web. The roof and floor of the hollow slab beam are compressed and the webs are tensioned in the positive temperature difference state, the stress condition is opposite under the negative temperature difference state. The positive and negative temperature load models can meet the extrapolation requirements of the bridge design reference period. This study innovatively proposed a temperature load model based on the temperature curve corresponding to the most unfavorable effect of the beam. The extrapolation idea in the derivation of vehicle load model is introduced as well. And a temperature load model suitable for the extension of hollow slab bridges in Guangdong is established in this study.

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Effect of the Temperature on the Modal Properties of a Steel Railroad Bridge

Cited by 7 publications

References 24 publications

Correlation Analysis of Large-Span Cable-Stayed Bridge Structural Frequencies with Environmental Factors Based on Support Vector Regression

Correlation Analysis of Large-Span Cable-Stayed Bridge Structural Frequencies with Environmental Factors Based on Support Vector Regression

Optimization-Based Traffic Safety Improvement Strategy for Autonomous Vehicle Driving at Level Crossings

Temperature distribution simulation and thermal properties investigation of hollow slab beam based on meteorological data

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