基于细菌觅食优化算法的岩体压缩流变参数反演

Inversion of Compressive Rheological Parameters Using Bacterial Foraging Optimization Algorithm

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。

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 pro-posed Jijiang Yangtze River Bridge was taken as research background.Furthermore we compared the inversion sur-face 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 algo-rithm.Meanwhile,it has high computation speed,high efficiency and precision,hence is an effective approach to invert compressive rheological parameters.