Nonlinear Optimization of Orthotropic Steel Deck System Based on Response Surface Methodology

Author:

Huang Wei1,Pei Minshan2,Liu Xiaodong2,Yan Chuang3,Wei Ya3ORCID

Affiliation:

1. Intelligent Transportation System Research Center, Southeast University, Nanjing 210096, China

2. CCCC Highway Consultants Co., Ltd., Beijing 100084, China

3. Department of Civil Engineering, Tsinghua University, Beijing 100084, China

Abstract

The steel bridge deck system, directly subjected to the vehicle load, is an important component to be considered in the optimization design of the bridges. Due to its complex structure, the design parameters are coupled with each other, and many fatigue details in the system result in time-consuming calculation during structure optimization. In view of this, a nonlinear optimization method based on the response surface methodology (RSM) is proposed in this study to simplify the design process and to reduce the amount of calculations during optimization. The optimization design of the steel bridge deck system with two-layer pavement on the top of the steel deck plate is taken as an example, the influence of eight structural parameters is considered. The Box-Behnken design is used to construct a sample space in which the eight structural parameters can be distributed evenly to reduce the calculation workload. The finite element method is used to model the mechanical responses of the steel bridge deck system. From the regression analysis by the RSM, the explicit relationships between the fatigue details and the design parameters can be obtained, based on which the nonlinear optimization design of the bridge deck system is conducted. The influence of constraint functions, objective functions, and optimization algorithms is also analyzed. The method proposed in this study is capable of considering the influence of different structural parameters and different optimization objectives according to the actual needs, which will effectively simplify the optimization design of the steel bridge deck system.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference38 articles.

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