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Second order approximation solution of nonlinear large deflection problems of Yongjiang Railway Bridge in Ningbo

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Abstract

The solution and computational aspects on nonlinear deflection of Yongjiang Railway Bridge in Ningbo were investigated. An approximate iteration algorithm on nonlinear governing equation was presented, and the obtained results show that, if altitude difference and span of the riverbanks are taken as 5 meters and 100 meters, respectively, the maximum gradient in the middle of the bridge exceeds 5%, much larger than maximum allowance gradient in railway design code. Therefore, a new solution scheme for decreasing gradient of the bridge is put forward, that is, the altitude difference between two riverbanks can be decreased to about 1/10 of the initial magnitude by building roadbeds with 0.5% gradient and 1 kilometer length at two riverbanks. As a direct result, the deflection gradient of the railway bridge is much reduced and the value is between 0.5%∼0.6%.

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References

  • It is unnecessary to list some references in this paper due to following two main reasons. First, the linear small deflection theory of beam can be easily found in any standard monography or textbook of strength of materials. Secondly, the governing equation and iteration technique employed in this paper have not been come forth in related references and are presented in this paper for the first time. Although the author did not get a glimpse of the design chart of the Yongjiang Railway Bridge, the author have visited the construction site, and it is a little pity for not discussing with engineering technicians. The physical data, such as river span and altitude difference etc., are estimated by eye, and there are maybe some errors in physical data. The author feels apologetic for all possible misgivings.

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Contributed by Cuphien Wei-zang

Biography: Cuphien Wei-zang (1913-), Professor, Ph. D.

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Wei-zang, C. Second order approximation solution of nonlinear large deflection problems of Yongjiang Railway Bridge in Ningbo. Appl Math Mech 23, 493–506 (2002). https://doi.org/10.1007/BF02437768

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  • DOI: https://doi.org/10.1007/BF02437768

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