长江科学院院报 ›› 2013, Vol. 30 ›› Issue (11): 113-118.DOI: 10.3969/j.issn.1001-5485.2013.11.0232013,30(11):113-118

• 安全监测预警专栏 • 上一篇    下一篇

基于平均曲率模态和最小二乘支持向量机的混凝土拱坝损伤识别方法研究

李波1a,1b,1c,刘明军2,马奕仁3,曹浩1a,1b,1c,郭法旺4   

  1. 1.长江科学院a.工程安全与灾害防治研究所;b.水利部水工程安全与病害防治工程技术研究中心;c.国家大坝安全工程技术研究中心,武汉430010;
    2.中国电力投资集团公司南方分公司,广州510130;
    3.长江工程监理咨询有限公司,武汉430010;
    4.中国水电工程顾问集团贵阳勘测设计研究院,贵阳550081
  • 收稿日期:2013-09-10 修回日期:2013-11-07 出版日期:2013-11-30 发布日期:2013-11-07
  • 作者简介:李波(1980-),男,湖北天门人,博士,主要从事水工结构安全的研究,(电话)027-82926142(电子信箱)lb007403@163.com。
  • 基金资助:
    “十二五”国家科技支撑计划项目(2012BAK10B04)

Damage Identification of Concrete Arch Dam Using Mean Curvature Mode and Least Squares Support Vector Machine

LI Bo1,LIU Ming-jun2,MA Yi-ren3,CAO Hao1,GUO Fa-wang4   

  1. 1.Yangtze River Scientific Research Institute, Wuhan 430010, China;
    2.South Branch of China Power Investment Corporation, Guangzhou 510130, China;
    3. Changjiang Project Supervision Consultant Company, Ltd., Wuhan 430010,China;
    4.Hydrochina Guiyang Survey and Design Institute,Guiyang 550081, China
  • Received:2013-09-10 Revised:2013-11-07 Online:2013-11-30 Published:2013-11-07

摘要: 受众多外界因素的影响,混凝土拱坝结构损伤与模态信息之间表现出明显的非线性特征,这使得传统的模态分析很难精确识别结构的损伤程度。针对上述问题,提出一种基于平均曲率模态和最小二乘支持向量机的混凝土拱坝损伤识别方法。该方法在数值模拟的基础上,首先利用平均曲率模态对混凝土拱坝损伤位置进行识别,然后利用最小二乘支持向量机建立平均曲率模态和损伤程度间的非线性关系,对混凝土拱坝损伤程度进行识别。工程实例分析表明,该方法能有效地识别混凝土拱坝同时发生多处不同程度损伤的位置及损伤程度。

关键词: 平均曲率模态, 最小二乘支持向量机, 混凝土拱坝, 损伤识别

Abstract: Affected by many external factors, the relation between concrete arch dam damage and modal information is apparently nonlinear, which makes it difficult to accurately identify the degree of structural damage by traditional modal analysis. Aimed at these problems, a method of identifying the damage of concrete arch dam by using mean curvature mode and least squares support vector machine is proposed. On the basis of numerical simulation, the damage location is firstly identified using mean curvature mode, then the non-linear relationship between mean curvature mode and damage degree is established using least squares support vector machine to identify the damage degree. Engineering example shows that by using this method, the location and degree of various damages occurring simultaneously can be effectively identified.

Key words: mean curvature mode, least squares support vector machine, concrete arch dam, damage identification

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