Stochastic Gradient Optimization Method of Mechanical Parameters of Prestressed Concrete U Shaped Girder with Gaussian Objective Function

DOI

10.2991/icmse-18.2018.58How to use a DOI?

Keywords

U shaped girder, mechanical parameters, Powell optimization theoretical model, Gaussian objective function.

Abstract

U shaped girder is a kind of low height bridge. The application of concrete U shaped girder is wide in highway and urban bridge. In general, it is composed of concrete and steel and compared with the mechanical analysis, little research has been carried on the inverse model of elastic modulus of U shaped girder. With degraded solid element theory, the shell element is deduced and the displacement function is obtained. Then Gaussian objective function of mechanical parameters of the reinforced concrete U shaped girder is founded and the corresponding formulas of Gaussian expectation and variance are derived. The stochastic optimization estimation computing formulas are also obtained by adopting optimization method including Powell gradient method. Then the steps of stochastic Gaussian optimized estimation of mechanical parameters of the reinforced concrete U shaped girder are listed. In this paper, a reliable calculation method is provided by researching the mechanical properties for prestressed concrete continuous U shaped girder.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Lin Su
AU  - Jian Zhang
AU  - Cheng Xi
AU  - Qingyu Liang
AU  - Jiawei Tian
PY  - 2018/05
DA  - 2018/05
TI  - Stochastic Gradient Optimization Method of Mechanical Parameters of Prestressed Concrete U Shaped Girder with Gaussian Objective Function
BT  - Proceedings of the 2018 8th International Conference on Manufacturing Science and Engineering (ICMSE 2018)
PB  - Atlantis Press
SP  - 296
EP  - 302
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmse-18.2018.58
DO  - 10.2991/icmse-18.2018.58
ID  - Su2018/05
ER  -