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Structure and Infrastructure Engineering
Maintenance, Management, Life-Cycle Design and Performance
Volume 19, 2023 - Issue 11
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Article

Long-term deformation analysis of prestressed concrete bridges under ambient thermal and vehicle loads

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Pages 1656-1675 | Received 02 Jun 2021, Accepted 13 Nov 2021, Published online: 23 Mar 2022
 

Abstract

Few studies have focused on the combined effects of ambient thermal and vehicle loads on the long-term deformation of prestressed concrete bridges. Based on preliminary work, a method for establishing the equivalence of random ambient temperature loads is proposed here. With this method, the temperature distributions of bridges under random weather conditions can be obtained. Subsequently, a concrete creep model considering cyclic thermal and vehicle loads is established. Finally, an analysis method for establishing the long-term deformation of prestressed concrete bridges under ambient thermal and vehicle loads is proposed. This was applied to the example of a prestressed concrete bridge; the meteorological parameters around the bridge were collected, and the equivalent environmental thermal loads were obtained. It was found that higher temperatures made the coupled effect of thermal and vehicle loads more obvious, leading to faster deformation. The long-term deformation of a continuous beam was found to be related to the residual stress after sunshine. The long-term deformation can be affected by the temperature-distribution mode, but the random properties of weather have almost no notable effect. The temperature difference between the inner and outer surfaces of the web and the prestress loss are the main reasons for the cracking of the inner surface of the web.

Disclosure statement

No potential conflict of interest was reported by the authors.

Data availability

All data, models, and code generated or used during the study appear in the submitted article.

Additional information

Funding

This work is financially supported by the National Natural Science Foundation of China (52078333) and (52108163), the Science and Technology Project of Hebei Transportation Department (RW-202011) and the Programme of the Natural Science Foundation of Tianjin (20JCQNJC01320). Any opinions, findings and conclusions or recommendations expressed in the present study are those of the authors and do not necessarily reflect those of the sponsor.

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