基于C-SVC模型的土石坝裂缝震害评价系统
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摘要
系统介绍C-SVC模型,将之运用于土石坝裂缝震害评价。采用层次分析法得到影响土石坝裂缝震害的六个训练属性:坝型、坝高、库容、施工质量、地震烈度、震中距,及训练标签:坝体裂缝,对训练属性和训练标签进行从定性到定量的赋值,建立了C-SVC的土石坝裂缝震害评价系统。选取汶川地震中100座水库土石坝的震害数据作为训练集,根据不同归一化方式下的预测分类准确率选择归一化预处理方式,采用K-fold交叉验证选取最佳核函数,结果表明:[-1,1]归一化预处理和多项式核函数适用于土石坝裂缝震害的预测。以绵阳市28座水库土石坝震害为实例,对水库土石坝进行裂缝震害评价,其中25座的震害评价结果与实际一致,这表明所建立的土石坝裂缝震害评价系统可以为除险加固的先后顺序提供参考意见。
A model of support vector machine for classification(C-SVC) and its application to the evaluation on crack damages of earth and rock-fill dams are systemically described herein.An analytic hierarchy process was used to obtain six training factors of the damage,i.e.dam type,dam height,storage capacity,construction quality,seismic intensity,and epicentral distance,and the training tab,i.e.dam crack.A C-SVC evaluation system was developed by determining the factors and tab in a certain way from qualitative to the quantitative.This system uses the field data of 100 earth and rock-fill dams damaged by the Wenchuan earthquake as the training set,and adopts optimal normalization preprocessing obtained through a comparison of different classification accuracies in predictions by different normalizations and the best kernel function selected by a K-fold cross-validation technique.The results show that the normalized preprocessing of[-1,1]and the polynomial kernel function are applicable to prediction of dam crack.AppUcation of the system to 28 reservoirs in Mianyang city shows that the predictions for 25 of them are in good agreement with in-situ observations.This indicates that the C-SVC evaluation model can provide useful information for reinforcement of earth and rock-fill dams.
引文
[1]陈胜宏,汪卫明,徐明毅.小湾高拱坝坝踵开裂的有限单元法分析[J].水利学报,2003,(1):66-71.CHEN Shenghong,WANG Weiming,XU Mingyi.Finite element analysis of the crack propagation in high arch dam heel of Xiaowan project[J].Journal of Hydraulic Engineering,2003,(1):66-71.(in Chinese)
    [2]牛运光.土石坝裂缝原因分析与防治处理措施综述[J].大坝与安全,2006:61-66.NIU Yunguang.Analysis on cracks at the earth-rock dams and summary of prevention measures[J].Dam and Safety,2006:61-66.(in Chinese)
    [3]Belytschko T,Gracie Robert.On XFEM applications to dislocations and interfaces[J].International Journal of Plasticity,2007,23(10-11):1721-1738.
    [4]方修君,金峰,王进廷.基于扩展有限元法的Koyna重力坝地震开裂过程模拟[J].清华大学学报,2008,48(12):2065-2069.FANG Xiujun,JIN Feng,WANG Jinting.Seismic fracture simulation of the Koyna gravity dam using an extended finite element method[J].Journal of Tsinghua University.2008,48(12):2065-2069.(in Chinese)
    [5]Vapnik V.An overview of statistical learning theory[J].IEEE Transactions on Neural Network,1999,10(5):988-999.
    [6]Suykens J,Vandewalle J.Least square support vector machine classifiers[J].Neural Processing Letters,1999,9(3):293-300.
    [7]Lau K W,Wu Q H.Online training of support vector classifier[J].Patten Recognition,2003,36:1913-1920.
    [8]张英,苏宏业,褚健.一种基于支持向量机增量学习的软测量建模方法化[J].化工自动化及仪表,2005,32(3):22-24.ZHANG Ying,SU Hongye,CHU Jian.Soft Sensor Modeling Based on Support Vector Machines Incremental Learning[J].Control and Instruments in Chemical Industry,2005,32(3):22-24.(in Chinese)
    [9]奉国和.SVM分类核函数及参数选择比较[J].计算机工程与应用,2011,47(3):123-128.FENG Guohe.Parameter optimizing for Support Vector Machines classification[J].Computer Engineering and Applications,2011,47(3):123-124.(in Chinese)
    [10]刘豹,许树柏,赵焕臣.层次分析法一规划决策的工具[J].系统工程,1984,2(2):23-30.LIU Bao,XU Shubo,ZHAO Huancheng.Analytical hierarchy process[J].Systems Engineering,1984,2(2):23-30.(in Chinese)
    [11]袁一凡,陈学良,徐浩.岩土工程结构震害预测方法研究[R].哈尔滨:中国地震局工程力学研究所,2000.3-22.
    [12]陈国兴,景立平,周新贵.汶川8.0级地震绵阳市游仙区水库震害调查与分析[J].防灾减灾工程学报.2009,29(3):347-355.CHEN Guoxing,JING Liping,ZHOU Xinggui.Investigation and Analysis of Seismic Damage of Earth Dams in Youxian District of Mianyang City during Wenchuan M8.0 Earthquake[J].Journal of Disaster Prevention and Mitigation Engineering,2009,29(3):347-355.(in Chinese)
    [13]叶亚三,陈国兴,王志华.罗江县水库土坝泣川大地震震害调查与分析[J].防灾减灾工程学报,2011,31(6):717-724.YE Yasan,CHEN Guoxing,WANG Zhihua.Investigation and Analysis of Seismic Damage to Earth Dams in Luojiang County during Wenehuan Earthquake[J].Journal of Disaster Prevention and Mitigation Engineering,2011,31(6):717-724.(in Chinese)
    [14]叶亚三,陈国兴,王志华,等.汶川大地震中广元市水库震害调查与分析[J].世界地震工程,2011,27(4):73-85.YE Ya-san,CHEN Guoxing,WANG Zhihua.Investigation and analysis of seismic damage of reservoirs in Guangyuan City during Wenchuan great earthquake[J].World Earthquake Engineering,2011,27(4):73-85.(in Chinese)
    [15]叶亚三,陈国兴.大坝抗震性能的模糊综合评价[J].水力发电学报,2013,32(3):198-206.YE Yasan,CHEN Guoxing.Fuzzy comprehensive evaluation on aseismic behavior of dams[J],Journal of Hydroelectric Engineering,2013,32(3):198-206.(in Chinese)
    [16]朱晟.土石坝震害与抗震安全[J].水力发电学报,2011,30(6):40-51.ZHU Sheng.Earthquake-induced damage and seismic safety of earth-rock dam[J].Journal of Hydroelectric Engineering,2011,30(6):40-51.(in Chinese)
    [17]Dundar M M.A cost-effective semisupervised classifier approach with kernels[J],IEEE Transactions on Geoscience and Remote Sensing,2004,42(1):264-270.
    [18]刘春波,王鲜芳,潘丰.基于蚁群优化算法的支持向量机参数选择及仿真[J].中南大学学.2008,39(6):1309-1313.LIU Chunbo,WANG Xianfang,PAN Feng.Parameters selection and stimulation of support vector machines based on ant colony optimization algorithm[J].J.CentSouth Univ.(Science and Technology),2008,39(6):1309-1313.(in Chinese)

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