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© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

The impact of temperature on bridges represents one of the main long-term challenges of structural health monitoring (SHM). Temperature is an environmental variable that changes both throughout the day and between different seasons, and its variations can induce thermal loads on bridges, potentially resulting in considerable displacements and deformations. Therefore, it is essential to obtain current data on the impact of daily and seasonal temperature variations on bridge displacements. Unfortunately, the maintenance costs associated with using precise estimates of thermal loads in a bridge design are quite high. The introduction of more accessible structural monitoring services is imperative to increase the number of observed structures. Viable solutions to make SHM more efficient include minimizing the costs of equipment, sensors, data loggers, data transmission systems, or monitoring data processing software. This research aims to improve the time intervals for collecting data on external temperature variations measured on a bridge structure through a sensor-based detection system and the integration of results into a regression analysis model. The paper aims to determine the appropriate interval for capturing and transmitting the structural response influenced by temperature variations over a year and to develop a behavioral mathematical model for the concrete structural components of a monitored bridge. The structural behavior was modeled using the statistical software TableCurve 2D, v.5.01. The results indicate that extending the data collection periods from 15 min to 4 h, in a static regime, maintains the accuracy of the regression model; instead, the effects of this integration are a significant reduction in the costs of data collection, transmission, and processing. The practical implications of this study consist of improving the monitoring of the structural behavior of bridges and the prediction under thermal stress, aiding in the design of more resilient structures, and enabling the implementation of efficient maintenance strategies.

Details

Title
Enhancing Data Collection Time Intervals and Modeling the Structural Behavior of Bridges in Response to Temperature Variations
Author
Rădulescu, Adrian Traian 1 ; Rădulescu, Gheorghe M T 1   VIAFID ORCID Logo  ; Naș, Sanda Mărioara 1 ; Virgil Mihai Rădulescu 1   VIAFID ORCID Logo  ; Rădulescu, Corina M 2   VIAFID ORCID Logo 

 Faculty of Civil Engineering, Technical University of Cluj-Napoca, Str. Constantin Daicoviciu nr. 15, 400020 Cluj-Napoca, Romania; [email protected] (A.T.R.); [email protected] (S.M.N.); [email protected] (V.M.R.) 
 Faculty of Sciences, Technical University of Cluj-Napoca, Str. Victoriei nr. 76, 430122 Baia-Mare, Romania; [email protected] 
First page
418
Publication year
2025
Publication date
2025
Publisher
MDPI AG
e-ISSN
20755309
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3165775392
Copyright
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.