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。
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.
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
Key words
rock mechanics /
bacterial foraging optimization algorithm /
rigid bearing plate /
rheological model /
rheological parameters /
parameter inversion
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参考文献
[1] 刘世君, 徐卫亚, 邵建富. 岩石粘弹性模型辨识及参数反演[J]. 水利学报, 2002, (6): 101-105. (LIU Shi-jun, XU Wei-ya, SHAO Jian-fu. Identification of Rock Viscoelastic Model and Back Analysis of Mechanical Parameters[J]. Journal of Hydraulic Engineering, 2002, (6): 101-105. (in Chinese))
[2] 朱珍德, 徐卫亚.岩体粘弹性本构模型辨识及其工程应用[J]. 岩石力学与工程学报, 2002, 21(11):1605-1609. (ZHU Zhen-de, XU Wei-ya. Visco-elastic Constitutive Model Recognition of Rock Mass and Its Engineering Application[J]. Chinese Journal of Rock Mechanics and Engineering, 2002, 21(11):1605-1609. (in Chinese))
[3] 刘文彬.岩石蠕变本构模型的辨识及应用[D]. 北京:北京交通大学, 2009. (LIU Wen-bin. Identification and Application of Creep Constitutive Model of Rock[D]. Beijing: Beijing Jiaotong University, 2009. (in Chinese))
[4] 刘文彬, 刘保国, 刘中战,等. 基于改进PSO算法的岩石蠕变模型参数辨识[J]. 北京交通大学学报, 2009, 33(4): 140-143. (LIU Wen-bin, LIU Bao-guo, LIU Zhong-zhan, et al. Parameter Identification of Creep Constitutive Model of Rock Based on Modified PSO Algorithm[J]. Journal of Beijing Jiaotong University, 2009, 33(4): 140-143. (in Chinese))
[5] 伍振志,王 泉. 基于改进遗传算法的粘弹性岩体力学参数反演[J]. 煤田地质与勘探, 2006, 34(3): 44-46. (WU Zhen-zhi, WANG Quan. Back Analysis of Viscoelastic Rock Mass Parameters Based on Improved Genetic Algorithm[J]. Coal Geology & Exploration, 2006, 34(3): 44-46. (in Chinese))
[6] 彭汝发,许小健. 用微进化算法反演岩石蠕变模型非定常参数[J]. 长江科学院院报, 2011, 28(6): 50-54. (PENG Ru-fa,XU Xiao-jia. Microevolution Algorithm for Inversion of Non-stationary Parameters in Rock Creep Model[J]. Journal of Yangtze River Scientific Research Institute, 2011, 28(6): 50-54. (in Chinese))
[7] PASSINO K M. Biomimicry of Bacterial Foraging for Distributed Optimization and Control[J]. Control Systems Magazine, 2002, 22(3): 52-67.
[8] ABRAHAM A, BISWAS A, DASGUPTA S, et al. Analysis of Reproduction Operator in Bacterial Foraging Optimization[C]∥IEEE Congress on Evolutionary Computation. Hong Kong,June 1-6, 2008: 1476-1483.
[9] BISWAS A, DAS S, DASGUPTA S, et al. Stability Analysis of the Reproduction Operator in Bacterial Foraging Optimization[C]∥International Conference on Soft Computing as Transdisciplinary Science and Technology. Paris, France, October 26-30, 2008: 568-575.
[10]MISHRA S. A Hybrid Least Square-fuzzy Bacterial Foraging Strategy for Harmonic Estimation[J]. Transactions on Evolutionary Computation, 2005, 9(1):61-73.
[11]HU Jie, ZENG Xiang-jin. A Hybrid PSO-BP Algorithm and Its Application[C]∥IEEE Circuits and Systems Society,Proceedings of the Sixth International Conference on Natural Computation, China. August 10-12, 2010: 2520-2523.
[12]MISHRA S. A Hybrid Least Square-fuzzy Bacterial Foraging Strategy for Harmonic Estimation[J]. Transactions on Evolutionary Computation, 2005, 9(1):61-73.
[13]CHATTELJEE A, MATSXMO F. Bacterial Foraging Techniques for Solving EKF-based SLAM Problems[C]∥Proceedings of the International Control Conference. Glasgow, UK, August 30-September 1, 2006: 1-6.
[14]CHEN H, ZHU Y, HU K. Multi-colony Bacterial Foraging Optimization with Cell-to-Cell Communication for RFID Network Planning[J]. Applied Soft Computing, 2010, 10(2): 539-547.
[15]DASGUPTA S, BISWAS A, DAS S, et al. Automatic Circle Detection on Images with an Adaptive Bacterial Foraging Algorithm[C]∥Proceedings of the Genetic and Evolutionary Computation Conference. Atlanta, July 12-16, 2008: 1695-1696.
[16]张 娜.细菌觅食优化算法求解车间调度问题的研究[D]. 长春: 吉林大学, 2007. (ZHANG Na. Study on Job-Shop Scheduling Problems Based on Bacteria Foraging Optimization Algorithm[D]. Changchun: Jilin University, 2007. (in Chinese))
[17]杨文东, 张强勇, 张建国,等. 刚性承压板下深部岩体压缩蠕变参数反演[J]. 岩土力学, 2009, 30(3): 762-768. (YANG Wen-Dong, ZHANG Qiang-yong, ZHANG Jian-guo, et al. Inversion of Compression Creep Parameters of Deep Rock under Rigid Bearing Plate[J]. Rock and Soil Mechanics, 2009, 30(3): 762-768. (in Chinese))
[18]张强勇, 张建国, 杨文东,等. 软弱岩体蠕变模型辨识与参数反演[J].水利学报, 2008, 39(1): 66-72. (ZHANG Qiang-yong, ZHANG Jian-guo, YANG Wen-Dong, et al. Identification of Creep Model and Parameters Inversion for Soft Rock Mass[J]. Journal of Hydraulic Engineering, 2008, 39(1): 66-72. (in Chinese))
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