Development of Probabilistic Temperature Loadsfor a PC Bridge in Oklahoma
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Bibliographic Details
| Author(s): |
Jun He
Naiyu Wang K. K. Muraleetharan |
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| Medium: | conference paper | ||||
| Language(s): | English | ||||
| Conference: | IABSE Conference: Bridges and Structures Sustainability - Seeking Intelligent Solutions, Guangzhou, China, 8-11 May 2016 | ||||
| Published in: | IABSE Conference, Guangzhou, China, 8 – 11 May 2016 | ||||
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| Page(s): | 699-707 | ||||
| Total no. of pages: | 9 | ||||
| Year: | 2016 | ||||
| DOI: | 10.2749/222137816819259031 | ||||
| Abstract: |
Temperature effects have always been considered to be one of the critical issues that affect the performance of traditional PC bridges. In order to develop an efficient temperature loading model for predicting bridge temperature-induced response, numerical and analytical studies were conducted on a PC girder bridge in Oklahoma. Firstly, a heat transfer model was established with hourly climate input data to estimate the temperature distribution and compared with monitoring counterparts. Secondly, probabilistic models of temperature loading were proposed based on environmental conditions from the 20-year climatic data and heat transfer analytical results. Finally, and the temperature loading values for a 75-year return period were determined and compared with recommended values in AASHTO LRFD(2012). The proposed temperature loading model can be referred to aid engineers in predicting the thermal behaviour of PC girders in Oklahoma. |
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| Keywords: |
finite element analysis FEA probability model PC bridge temperature loading
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