您的位置:山东大学 -> 科技期刊社 -> 《山东大学学报(工学版)》

山东大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (4): 75-83.doi: 10.6040/j.issn.1672-3961.0.2015.008

• 土木工程 • 上一篇    下一篇

基于多目标非线性函数某深基坑参数反演分析

刘金慧   

  1. 山东交通学院交通土建工程学院, 山东 济南 250023
  • 收稿日期:2015-01-09 修回日期:2015-06-09 出版日期:2015-08-20 发布日期:2015-01-09
  • 作者简介:刘金慧(1976-),女,山东聊城人,讲师,硕士,主要研究方向为土木工程结构的稳定性.E-mail:liumengdi1996@163.com
  • 基金资助:
    山东省自然科学基金资助项目(ZR2012EEM006)

Back analysis of parameters of a deep foundation pit based on multi-objective nonlinear function

LIU Jinhui   

  1. Institute of Transportation & Civil Engineering, Shandong Jiaotong University, Jinan 250023, Shandong, China
  • Received:2015-01-09 Revised:2015-06-09 Online:2015-08-20 Published:2015-01-09

摘要: 借助多目标非线性规划函数思想,结合长株潭城际高铁II标湘府路车站基坑工程,在反演过程中利用多种监测项目的数据,以求能够获得比较准确的反演参数。通过对比单目标函数反演力学参数计算结果、多目标函数反演力学参数计算结果及现场实际监测值,发现多目标函数获得的反演力学参数输入到数值分析软件中得到的结果更接近于现场实际监测结果,说明在参数反演分析过程中,利用施工中多元监测数据的信息量越大,获得的反演参数的可靠性越好。

关键词: 非线性规划函数, 反演分析, 可靠性, 多目标, 现场监测, 深基坑

Abstract: By means of multi-objective nonlinear programming function idea, combining with Xiangfu Road station foundation pit of Changsha-Zhuzhou-Xiangtan intercity high-speed rail, the data of various monitoring items during the inversion process were used to obtain more accurate inversion parameters. By comparing the single objective function inversion calculation results of mechanical parameters, multi-objective function inversion mechanics parameter calculation results and field monitoring value, the results showed that the numerical analysis results using back analysis of mechanical parameters obtained by multi-objective function were more close to the actual monitoring results. The greater the amount of information of multiple monitoring data used in the construction was, the better the reliability of mechanical parameters inversion was.

Key words: multi-objective, deep foundation pit, field monitoring, nonlinear programming function, reliability, back analysis

中图分类号: 

  • TU43
[1] 孙钧,戚玉亮.隧道围岩稳定性正算反演分析研究-以厦门海底隧道穿越风化深槽施工安全监控为例介绍[J].岩土力学,2010,31(8):2353-2361. SUN Jun, QI Yuliang. Normal calculation-back analysis of surrounding rock stability of subsea tunnel[J].Rock and Soil Mechanics, 2010, 31(8):2353-2361.
[2] 木林隆,黄茂松,吴世明.基于反分析法的基坑开挖引起的土体位移分析[J].岩土工程学报,2012,34(增刊):60-64. MU Linlong, HUANG Maosong, WU Shiming. Soil responses induced by excavations based on inverse analysis[J].Chinese Journal of Geotechnical Engineering, 2012, 34(Supp.):60-64.
[3] 木林隆,黄茂松.基坑开挖引起的周边土体三维位移场的简化分析[J].岩土工程学报,2013,35(5):820-827. MU Linlong, HUANG Maosong. Simplified method for analysis of soil movement induced by excavations[J].Chinese Journal of Geotechnical Engineering, 2013, 35(5):820-827.
[4] 冯夏庭.智能岩石力学导论[M].北京:科学出版社,2000.
[5] 吕爱钟,蒋斌松.岩石力学反问题[M].北京:煤炭工业出版社, 1998.
[6] 吕爱钟.巷道围岩参数及地应力可辨识性的探讨[J].岩石力学与工程学报, 1988, 7(2):155-164. LÜ Aizhong. Discussion of identifiability for parametersof the surrounding rock and in-situ stress[J]. Chinese Journal of Rock Mechanics and Engineering, 1988, 7(2):155-164.
[7] SAKURAI S, TAKEUCHI K. Back analysis of measured displacement of tunnel[J]. Rock Mechanics And Rock Engineering, 1983, 16(3):173-180.
[8] KRISTEN H A D. Determination of rock mass elastic moduli by back analysis of deformation measurement[C]//Proceedings of Symposium on Exploration for Rock Engineering. Johannesburg, RSA: [s.n.], 1976:165-172.
[9] 黄戡,刘宝琛,彭建国,等.基于遗传算法和神经网络的隧道围岩位移智能反分析[J].中南大学学报:自然科学报,2011,42(1):213-219. HUANG Kan, LIU Baochen, PENG Jianguo, et al. Intelligent back-analysis of tunnel surrounding rock displacement based on genetic algorithm and neural network[J].Journal of Central South University: Science and Technology, 2011, 42(1):213-219.
[10] 聂卫平,徐卫亚,王伟. RandWPSO-LSSVM反演方法及其在大型地下工程中的应用[J].中南大学学报:自然科学报,2013,44(4):1626-1633. NIE Weiping, XU Weiya, WANG Wei. RandWPSO-LSSVM inversion method and its application in large-scale underground engineering[J]. Journal of Central South University: Science and Technology, 2013, 44(4):1626-1633.
[11] 张志华,周传波,夏志强,等.地铁隧道土体参数敏感性分析与正交反演[J].中南大学学报:自然科学版,2013,44(6):2488-2493. ZHANG Zhihua, ZHOU Chuanbo, XIA Zhiqiang, et al. Sensitivity analysis and orthogonal backward analysis of soil parameters for subway tunnel[J].Journal of Central South University: Science and Technology, 2013, 44(6):2488-2493.
[12] 关永平,宋建,王述红,等. 基于GA-BP算法的隧道围岩力学参数反分析[J].东北大学学报:自然科学版,2012,33(2):276-279. GUAN Yongping, SONG Jian, WANG Shuhong, et al. Back analysis of mechanical parameters of surrounding rocks based on GA-BP algorithm[J]. Journal of Northeastern University: Natural Science, 2012, 33(2):276-279.
[13] 陈方方,李宁,张志强.一种洞室围岩强度参数的反演方法及其验证[J].岩石力学与工程学报,2010,29(1):97-103. CHEN Fangfang, LI Ning, ZHANG Zhiqiang. Back analysis of strength parameters for surrounding rocks of tunnel and its verification[J].Chinese Journal of Rock Mechanics and Engineering, 2010, 29(1):97-103.
[14] 贾善坡,伍国军,陈卫忠.基于粒子群算法与混合罚函数法的有限元优化反演模型及应用[J].岩土力学,2011,32(增刊2):598-603. JIA Shanpo, WU Guojun, CHEN Weizhong. Application of finite element inverse model based on improved particle swarm optimization and mixed penalty function[J].Rock and Soil Mechanics, 2011, 32(Supp.2):598-603.
[15] PIERPAOLO ORESTE. Back analysis techniques for the improvement of the understanding of rock in underground constructions[J].Tunneling and Underground Space Technology, 2005, 20(1): 7-21.
[16] DENG J H, LEE C F. Displacement back analysis for a steep slope at the Three Gorges Project site[J].International Journal of Rock Mechanics & Mining Sciences, 2001, 38(2):259-268.
[17] MICHELE C, RICHARD J F. Selecting parameters to optimize in model calibration by inverse analysis[J].Computers and Geotechnics, 2004, 31(5):411-425.
[18] KARAKUS M, FOWELL R J.Back analysis for tunneling induced ground movements and stress redistribution[J].Tunnelling and Underground Space Technology, 2005, 20(6):514-524.
[19] 乔丽苹,刘杰,李术才,等.地下工程开挖面空间效益特征研究及应用[J].岩土力学,2014,35(增2):481-486. QIAO Liping, LIU Jie, LI Shucai, et al.Study of spatial effect of excavation face for underground facility and its application[J].Rock and Soil Mechanics, 2014, 35(supp.2):481-486.
[20] 文斌,吴青柏,蒋观利,等.模拟退火优化算法的冻土热传导参数反分析[J].岩土力学,2013,34(8):2401-2408. WEI Bin, WU Qingbai, JIANG Guanli, et al. Back analysis of frozen soil thermal properties based on simulated annealing optimization algorithm[J].Rock and Soil Mechanics, 2013, 34(8):2401-2408.
[21] 刘亚峰,刘高,陈龙飞,等.基于D-S证据理论的黄土滑坡参数估计及应用[J].地震工程学报,2014,36(3):446-451. LIU Yafeng, LIU Gao, CHEN Longfei, et al. D-S theory-based parameter estimation and its application in loess landslides[J].China Earthquake Engineering Journal, 2014, 36(3):446-451.
[22] 宋战平,刘京,梁莉,等.基于差异进化算法反演参数的隧道稳定性分析[J].地下空间与工程学报,2013,9(3):558-565. SONG Zhanping, LIU Jing,LIANG Li, et al. Structure stability analysis of motianling shaft tunnel based on parameters back analysis of differential evolution method[J].Chinese Journal of Underground Space and Engineering, 2013, 9(3):558-565.
[23] 王新,梁桂兰.基于人工蜂群算法的船闸高边坡岩体力学参数反分析[J].科学技术与工程,2013,13(1):102-107. WANG Xin, LIANG Guilan. Rock mechanics parameters back analysis of high slope of ship lock basing on artificial bee colony algorithm[J].Science Technology and Engineering, 2013, 13(1):102-107.
[24] 姜谙男,沙权贤,宋战平,等.桥基隧道明挖施工多元信息集成智能方法与应用[J].岩土力学,2014,35(2):490-496. JIANG Annan, SHA Quanxian, SONG Zhanping, et al. Integrate intelligent method for multi message of tunnel open excavation adjoining bridge pile[J].Rock and Soil Mechanics, 2014, 35(2):490-496.
[25] 《现代应用数学手册》编委会.现代应用数学手册-运筹学与最优化理论卷[M].北京:清华大学出版社,1998.
[1] 黄劲潮. 基于快速区域建议网络的图像多目标分割算法[J]. 山东大学学报(工学版), 2018, 48(4): 20-26.
[2] 钱淑渠,武慧虹,徐国峰,金晶亮. 计及排放的动态经济调度免疫克隆演化算法[J]. 山东大学学报(工学版), 2018, 48(4): 1-9.
[3] 张岐松,傅钧,史朝晖,杨潇,贾春娟,黄玉龙. 荷电状态优化对风储系统供电可靠性的影响[J]. 山东大学学报(工学版), 2017, 47(6): 95-99.
[4] 王飞,徐健,李伟,汪新浩,施啸寒. 基于分布式储能系统的风储滚动优化调度方法[J]. 山东大学学报(工学版), 2017, 47(6): 89-94.
[5] 裴小兵,陈慧芬,张百栈,陈孟辉. 改善式BVEDA求解多目标调度问题[J]. 山东大学学报(工学版), 2017, 47(4): 25-30.
[6] 马帅依凡,赵子健. 基于人工标记的手术导航仪[J]. 山东大学学报(工学版), 2017, 47(3): 63-68.
[7] 邓冠龙,杨洪勇,张淑宁,顾幸生. 零等待flow shop多目标调度的混合差分进化算法[J]. 山东大学学报(工学版), 2016, 46(5): 21-28.
[8] 刘轩, 潘竹生, 钟发荣, 莫毓昌, 陈中育. 工程网络可靠性分析的网络简化方法[J]. 山东大学学报(工学版), 2015, 45(2): 27-32.
[9] 邱晓欣1,2,张文强1,2*,秦晋贤1,2,杜正阳1,2,张德峰1,2. 恶劣环境下多目标实时跟踪算法研究[J]. 山东大学学报(工学版), 2014, 44(2): 21-27.
[10] 陈明志1,2, 陈健3, 许春耀3, 余轮3, 林柏钢1,2. 一种新的基于网络虚拟环境的用户访问模式聚类算法[J]. 山东大学学报(工学版), 2011, 41(6): 43-49.
[11] 刘淳安. 基于核分布估计的动态多目标优化进化算法[J]. 山东大学学报(工学版), 2011, 41(1): 167-172.
[12] 贠汝安1,2,董增川1,王好芳2. 基于NSGA2的水库多目标优化[J]. 山东大学学报(工学版), 2010, 40(6): 124-128.
[13] 邱道宏1,张乐文1,崔伟2,苏茂鑫1,孙怀凤1. 基于趋势检查法的遗传神经网络模型及工程应用[J]. 山东大学学报(工学版), 2010, 40(3): 113-118.
[14] 曹欣 孙新利 李振. 改进灰自助法及其在可靠性评定中的应用[J]. 山东大学学报(工学版), 2010, 40(1): 144-148.
[15] 耿飞 刘雨时. 基于马尔科夫过程的导弹贮存可靠性模型的研究[J]. 山东大学学报(工学版), 2010, 40(1): 33-36.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!