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Số người truy cập: 107,347,297
Effects of Random Road Roughness on Dynamic Impact Factor of Multi-span Super T Girder Bridge with Link Slab due to Moving Vehicles
Tác giả hoặc Nhóm tác giả:
Xuan-Toan Nguyen , Duy-Thao Nguyen
Nơi đăng:
Innovation for Sustainable Infrastructure. Lecture Notes in Civil Engineering, vol 54. Springer, Singapore. https://doi.org/10.1007/978-981-15-0802-8_12;
S
ố:
ISBN 978-981-15-0802-8;
Từ->đến trang
: 99-104;
Năm:
2020
Lĩnh vực:
Khoa học công nghệ;
Loại:
Bài báo khoa học;
Thể loại:
Quốc tế
TÓM TẮT
The purpose of paper analyzes influence of random road roughness on dynamic impact factor of Bridge subjected to a moving vehicle. The road roughness is assumed by a stationary random process. The bridge has three spans which is modeled by FEM. The moving vehicle has three axles and is idealized by 6-DOFs. Monte-Carlo method is used to create the random road roughness input. The governing equation of dynamic vehicle-bridge interaction is established by means of d’Alembert’s principle. Galerkin method and Green theory are applied to discrete the governing equation in the space domain. In this paper, Runge-Kutta methodology was used to solve the governing equation in the time domain. After analyzing with a series profile of road roughness input, it is going to obtain the response of bridge output which is also the random process. The FEM analysis totally agrees with the test results of KhueDong Bridge. Furthermore, the road roughness also was investigated to clarify the effects on dynamic impact factor.Finally, when road roughness condition changes from the type A to type E, dynamic impact factor has risen considerably.
ABSTRACT
The purpose of paper analyzes influence of random road roughness on dynamic impact factor of Bridge subjected to a moving vehicle. The road roughness is assumed by a stationary random process. The bridge has three spans which is modeled by FEM. The moving vehicle has three axles and is idealized by 6-DOFs. Monte-Carlo method is used to create the random road roughness input. The governing equation of dynamic vehicle-bridge interaction is established by means of d’Alembert’s principle. Galerkin method and Green theory are applied to discrete the governing equation in the space domain. In this paper, Runge-Kutta methodology was used to solve the governing equation in the time domain. After analyzing with a series profile of road roughness input, it is going to obtain the response of bridge output which is also the random process. The FEM analysis totally agrees with the test results of KhueDong Bridge. Furthermore, the road roughness also was investigated to clarify the effects on dynamic impact factor.Finally, when road roughness condition changes from the type A to type E, dynamic impact factor has risen considerably.
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