玻璃钢/复合材料 ›› 2017, Vol. 0 ›› Issue (12): 51-56.

• 应用研究 • 上一篇    下一篇

埋地玻璃钢夹砂管涵环刚度优化设计

石华旺1,2,高怀君2,魏连雨1*,尹航2   

  1. 1.河北工业大学土木与交通学院,天津300401
    2.河北工程大学土木工程学院,邯郸056038
  • 收稿日期:2017-10-12 出版日期:2017-12-20 发布日期:2017-12-20
  • 通讯作者: 魏连雨(1957-),男,教授,博导,主要从事公路交通方面的研究,shw2016@sohu.com。
  • 作者简介:石华旺(1979-),男,副教授,博士研究生,主要从事道路与桥梁力学方面的研究
  • 基金资助:
    国家自然科学基金项目(51508150);河北省高等学校科学技术研究项目(ZD2014099)

OPTIMUM DESIGN OF REINFORCEMENT STIFFNESS OF GLASS FIBER REINFORCED PLASTIC MORTAR SAND PIPE

SHI Hua-wang1,2,GAO Huai-jun2, WEI Lian-yu1*,YIN Hang2   

  1. 1.School of Civil and Transportation, Hebei University of Technology, Tianjin 300401, China
    2.School of Civil Engineering, Hebei University of Engineering, Handan 056038, China
  • Received:2017-10-12 Online:2017-12-20 Published:2017-12-20

摘要: 玻璃钢夹砂管道性能优良,常被用作地下管道,但许多国家因其造价相对于传统埋地管道较高而不予采用。以管道环刚度为参考指标,对DN1500玻璃钢夹砂管进行优化设计,旨在降低管道成本。首先,对DN1500管道环刚度进行试验测试,运用ANSYS对管道环刚度进行模拟计算;将实验数据与模拟数据进行对比,验证了ANSYS分析管道环刚度的可行性。其次,运用ANSYS分析管道层数、纤维体积比、交叉缠绕层体积比、纤维缠绕角度等参数和环刚度的关系,得到环刚度与四种变量的关系。最后,利用MATLAB与ANSYS联合仿真技术,结合PSO智能算法对管道结构进行优化;优化后的管道满足环刚度的要求,同时体积相对于原管道减少了12%。

关键词: 环刚度, 粒子群算法, 有限元分析, MATLAB

Abstract: The glass fiber reinforced plastic mortar sand pipe has high performance and is often used as the underground pipe. However, many countries do not adopt the glass fiber reinforced plastic sand pipe because of its higher cost compared to that of the traditional buried pipe. This paper takes the pipe ring stiffness as a reference index to optimize the design of the DN1500 glass fiber reinforced plastic sand pipe, aiming to reduce the piping cost. Firstly, this paper tests the ring stiffness of DN1500 pipe and then simulates the pipe ring stiffness of with ANSYS. The experimental data and simulation data are compared to verify the feasibility of ANSYS in analyzing the pipe ring stiffness. Secondly, ANSYS was used to analyze the relationship between the ring stiffness and the four variables, such as the pipe layer number, the fiber volume fraction, the intercross enwind layer volume fraction and the fiber winding angle, thus obtaining the relationship between the ring stiffness and the four variables. At last, this paper uses the MATLAB and ANSYS joint-analysis and combines with the PSO intelligence algorithm to optimize the pipe structure. The optimized pipe not only meets the requirement of ring stiffness, meanwhile, its volume is 12% less than that of the original pipe.

Key words: ring stiffness, particle swarm optimization, finite element analysis, MATLAB

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