Span Matching and Condition Optimization Method for Railway Bridges Based on Standard Spans

被引:0
作者
Liao L. [1 ]
Yang X. [2 ]
Su W. [1 ]
Wang Y. [1 ]
Li L. [3 ]
机构
[1] China Railway Design Corporation, Tianjin
[2] College of Transportation Engineering, Tongji University, Shanghai
[3] China Railway Liuyuan Group Co., Ltd., Tianjin
来源
Tiedao Xuebao/Journal of the China Railway Society | 2023年 / 45卷 / 11期
关键词
integer linear programming; span arrangement; span matching and condition optimization; standard design;
D O I
10.3969/j.issn.1001-8360.2023.11.019
中图分类号
学科分类号
摘要
Railway bridges have a long length with multiple crossing control factors. During the use of standard beam span design, in order to solve the problem of matching and optimizing the entire bridge span, an integer linear programming model was established with the sum of the importance coefficients of the beam span as the objective function and roads, rivers, and pipelines as constraints. A recursive solution method was proposed, which was arranged in zones according to the constraints before being merged one by one. The results show that in the face of large-scale optimization mathematical models, by defining parameters such as the lower limit of the span length, the upper limit of the span length, and modifying the span length, the relationship between constraint conditions is established. The computational dimension of the model is reduced to achieve the recursive solution process, thereby saving.the solution time. The application of this method to the design of multiple high-speed railway bridges helps overcome the problem of automated design of railway bridge schemes, solving the problem of accurate calculation of efficient and economical layout of spans of long bridges, achieving optimal matching between beam spans and roads, rivers, and pipelines. © 2023 Science Press. All rights reserved.
引用
收藏
页码:164 / 172
页数:8
相关论文
共 20 条
  • [1] HU Suoting, SU Yonghua, BAN Xinlin, Et al., Technological Innovation and Development of High Speed Railway Standard Girder Bridge, Railway Engineering, 60, 4, pp. 23-27, (2020)
  • [2] JIN Bo, SUN Pengfei, WANG Qingyuan, Et al., Energy-saving Optimization of Multi-interstation High-speed Train with Mixed Integer Linear Programming, Journal of the China Railway Society, 42, 2, pp. 11-17, (2020)
  • [3] KUO R J, LEE Y H, ZULVIA F E, Et al., Solving Bi-level Linear Programming Problem Through Hybrid of Immune Genetic Algorithm and Particle Swarm Optimization Algorithm [ J ], Applied Mathematics and Computation, 266, pp. 1013-1026, (2015)
  • [4] ZHU Q, PARSA M, GARCIA-LUNA-ACEVES J J., A Source-based Algorithm for Delay-constrained Minimum-cost Multicasting[ C], Proceedings of INFOCOM’ 95, pp. 377-385, (2002)
  • [5] KIM Y, LEE J, SHRIVASTAVA A, Et al., High Throughput Data Mapping for Coarse-grained Reconfigurable Architectures[J], IEEE Transactions on Computer-aided Design of Integrated Circuits and Systems, 30, 11, pp. 1599-1609, (2011)
  • [6] WANG Haixing, LI Zhenjiang, Model and Algorithm of Optimal Loading for Multi-category Goods and Multi-vehicles [ J ], Journal of the China Railway Society, 32, 1, pp. 93-97, (2010)
  • [7] CHEN Leilei, SHEN Xiaowei, LIU Cheng, Et al., Shape Optimization Analysis of Sound Barriers Based on the Isogeometric Boundary Element Method, Journal of Vibration and Shock, 38, 6, pp. 114-120, (2019)
  • [8] LU Yuanyuan, GUO Zhijian, WANG Baoling, Et al., A Traffic Rescue Centre Median Location Model Approaching Ideal Grey Relational Constraints, Journal of Highway and Transportation Research and Development, 35, 7, pp. 114-119, (2018)
  • [9] WANG Yadong, SHI Quan, SONG Weixing, Et al., Dynamic Multi-objective Optimization Model and Algorithm for Logistics Network [ J ], Computer Integrated Manufacturing Systems, 26, 4, pp. 1142-1150, (2020)
  • [10] HE Fengdao, HE Dongyun, A Genetic Algorithm for Obtaining the Optimal Locomotive Working Diagram with Double-shoulder Circuit Locomotive Routing by the Mode of Unfixed Traction, China Railway Science, 28, 1, pp. 118-122, (2007)