高拱坝损伤识别的模糊模型修正方法研究与应用

项目名称： 高拱坝损伤识别的模糊模型修正方法研究与应用

项目编号： No.51469016

项目类型： 地区科学基金项目

立项/批准年度： 2015

项目学科： 水利工程

项目作者： 张纯

作者单位： 南昌大学

项目金额： 48万元

中文摘要： 作为我国超高坝的主要坝型，高拱坝具有良好的超载能力及经济性，但同时其安全性也因高坝、大库容、复杂环境条件等因素的影响而备受关注。为提高高拱坝健康监测水平，研究准确高效的损伤识别算法是目前的关键技术问题。因此，本研究拟在考虑材料参数、外界作用及测量数据不确定性的情况下，建立适于高拱坝损伤识别的模型修正方法。主要内容有：（1）采用模糊变量描述复杂高拱坝结构的不确定性，针对高拱坝损伤特点，研究结合正则化过程的模糊模型修正方法，从修正参数隶属函数提取结构损伤指标；（2）充分利用高坝长期监测系统，以大坝变形等结构响应的长期时间序列为输入数据，建立卡尔曼滤波框架下的递推型修正算法；同时考虑温度场分布等时变模糊因素的影响，采用模糊扩展卡尔曼滤波方法进行高拱坝损伤识别。本研究将从数值模拟、模型实验及原型观测等方面分析、验证损伤识别方法的可靠性，为高拱坝运行期间的在线监测、安全评价等提供理论基础和技术支撑。

中文关键词： 模型修正；模糊；损伤识别；高拱坝；卡尔曼滤波

英文摘要： With the rapid development of the hydropower project, the safety operation and state assessment of high arch dams have attracted widespread attention. Structural damage detection algorithm has become the core technique of safety monitoring systems of the high dams. In order to improve the damage diagnosis techniques of high arch dams further, this project focus on the damage identification for high arch dam based on fuzzy model updating, by considering the uncertainties both in the mathematical model and the measurement data. The works mainly include: (1) the fuzzy variables are introduced to describe the uncertainties of complex high dam systems. The fuzzy model updating method with regularization technique is developed by combining the static and dynamic structural responses, and then the structural damage indexes are extracted from the membership functions of corrected parameters; (2) in order to make full use of the measurement data of safety monitoring systems of the high arch dams, the time series of structural responses are selected as the input data, and the recursive model updating algorithm based on extended Kalman filtering are proposed. By analyzing the affections of the uncertainties such as temperature distribution, the fuzzy extended Kalman filtering method is utilized to detect the high arch dam damages. The project will verify the proposed damage identification methods through the theory analysis, numerical simulation, model experiments and prototype observation, in order to provide the theoretical basis and technical support of the online monitoring, damage identification and safety assessment during the high arch dam operation period.

英文关键词： model updating;fuzzy;damage identification;high arch dam;kalman filter