长江科学院院报 ›› 2015, Vol. 32 ›› Issue (10): 85-89,106.DOI: 10.11988/ckyyb.20140298

• 岩土工程 • 上一篇    下一篇

基于细菌觅食优化算法的岩体压缩流变参数反演

王中豪,周火明,李维树,卢阳   

  1. 长江科学院 水利部岩土力学与工程重点实验室,武汉 430010
  • 收稿日期:2014-04-17 出版日期:2015-10-20 发布日期:2015-10-15
  • 作者简介:王中豪(1990-),男,瑶族,湖南永州人,硕士研究生,主要从事岩石力学实验方面的研究工作,(电话)18207113082(电子信箱)779475836@qq.com。

Inversion of Compressive Rheological Parameters Using Bacterial Foraging Optimization Algorithm

WANG Zhong-hao,ZHOU Huo-ming,LI Wei-shu,LU Yang   

  1. Key Laboratory of Geotechnical Mechanics and Engineering of the Ministry of Water Resources, Yangtze River Scientific Research Institute, Wuhan 430010, China
  • Received:2014-04-17 Online:2015-10-20 Published:2015-10-15

摘要: 为探索细菌觅食优化算法(BFO算法)在岩土工程中的应用,以拟建的几江长江大桥北岸隧道锚方案岩土专项实验研究为背景,基于刚性承压板流变实验获得的基础数据,针对如何进行流变模型参数反演问题,利用BFO算法优化反演目标函数,获得了反演参数值,并将反演后的表面位移曲线与实测表面位移曲线进行了对比,结果两曲线基本吻合,表明利用广义开尔文模型和BFO算法反演出的模型参数能较好地反映岩体的压缩流变特性。该法用于岩体压缩流变参数的反演是有效的,其计算速度快,效率、精度高,也充分体现出该法用于岩体压缩流变参数反演的优越性和可行性,同时也为岩体流变参数的反演提供了一种有效途径和方法。

关键词: 岩石力学, 细菌觅食优化算法, 刚性承压板, 流变模型, 流变参数, 参数反演

Abstract: In order to explore the ways of applying bacterial foraging optimization(BFO) algorithm to geotechnical engineering, we adopted BFO algorithm to invert objective function of rheological model based on data collected from rock mass rheological test of rigid bearing plate. The tunnel anchorage project on the north shore of the proposed Jijiang Yangtze River Bridge was taken as research background. Furthermore we compared the inversion surface displacement curve with the measured displacement curve and found that the curves were generally consistent, indicating that the compressive rheological properties of rock mass can be reflected by generalized Kelvin model and parameters inverted by BFO algorithm. It is effective to invert compressive rheological parameters using BFO algorithm. Meanwhile, it has high computation speed, high efficiency and precision, hence is an effective approach to invert compressive rheological parameters.

Key words: rock mechanics, bacterial foraging optimization algorithm, rigid bearing plate, rheological model, rheological parameters, parameter inversion

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