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 Dynamic Impact Factor Analysis of the Prestressed Reinforced Concrete Girder Bridges Subjected to Random Vehicle Load
Tác giả hoặc Nhóm tác giả: Toan Nguyen-Xuan, Thuat Dang-Cong, Loan Nguyen-Thi-Kim, and Thao Nguyen-Duy
Nơi đăng: Advances in Asian Mechanism and Machine Science. ASIAN MMS 2021. Mechanisms and Machine Science, vol 113. Springer, Cham. https://doi.org/10.1007/978-3-030-91892-7_73; Số: ISBN 978-3-030-91892-7;Từ->đến trang: pp 764–774;Năm: 2022
Lĩnh vực: Khoa học công nghệ; Loại: Bài báo khoa học; Thể loại: Quốc tế
TÓM TẮT
This paper presents some analysis results of dynamic impact factor (DIF) in prestressed reinforced concrete girder bridge according to vehicle - bridge interaction model. The finite element method and the Monte-Carlo simulation method are applied to the behavior analysis of the bridge structure subjected to vehicle load. Based on the probability distribution of the vehicle load that have been reported at the Dau Giay weighing station, the random vehicle load is generated by the Pseudo - Random Process Generator method. The research results show that the DIF of prestressed girder bridge subjected to random vehicle loads is significantly increased compared to the value in the bridge design process of Vietnam and the United States. The cumulative probability distribution of DIF and the safety of the bridge are also evaluated on the basis of considering the threshold safety of the value 1 + IM. These research results help engineers have more information to analyze the design and check the safety during the operation of the bridge.
ABSTRACT
This paper presents some analysis results of dynamic impact factor (DIF) in prestressed reinforced concrete girder bridge according to vehicle - bridge interaction model. The finite element method and the Monte-Carlo simulation method are applied to the behavior analysis of the bridge structure subjected to vehicle load. Based on the probability distribution of the vehicle load that have been reported at the Dau Giay weighing station, the random vehicle load is generated by the Pseudo - Random Process Generator method. The research results show that the DIF of prestressed girder bridge subjected to random vehicle loads is significantly increased compared to the value in the bridge design process of Vietnam and the United States. The cumulative probability distribution of DIF and the safety of the bridge are also evaluated on the basis of considering the threshold safety of the value 1 + IM. These research results help engineers have more information to analyze the design and check the safety during the operation of the bridge.
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