| 基于虚功误差估计算子服役结构状态评估的统计分析 |
| |
| 引用本文： | 蔡晶,吴智深.基于虚功误差估计算子服役结构状态评估的统计分析[J].东南大学学报,2007,23(4):577-582. |
| |
| 作者姓名： | 蔡晶 吴智深 |
| |
| 作者单位： | 南京工业大学土木工程学院，东南大学土木工程学院 南京210009，东南大学土木工程学院，南京210096，南京210096，茨城大学都市系统系，日本日立316-8511 |
| |
| 摘 要： | 针对服役结构状态评估问题提出了基于虚功误差估计算子的统计分析方法.首先定义虚功误差来表达实际结构与参数化分析模型之间的差别,然后采用改进的牛顿算法推导分析模型结构识别算法.为了探讨在有测量误差的情况下算法的性能,引用Monte Carlo方法模拟测量数据,对测量数据的误差与识别结果的影响进行了详细的分析比较.根据识别结果确定它的概率分布,通过假设试验对服役结构状态评估进行统计分析.最后应用双跨五层刚架结构进行了大量数值模拟,计算结果显示了所提方法的有效性.
|
| 关 键 词： | 虚功 基本参数 参数估计 假设检验 |
| 收稿时间： | 2007-04-30 |
| 修稿时间： | 2007年4月30日 |
Statistical condition assessment of existing structures using virtual work error estimator |
| |
| Cai Jing,Wu Zhishen.Statistical condition assessment of existing structures using virtual work error estimator[J].Journal of Southeast University(English Edition),2007,23(4):577-582. |
| |
| Authors: | Cai Jing Wu Zhishen |
| |
| Institution: | 1 College of Civil Engineering, Nanjing University of Technology, Nanjing 210009, China;2, School of Civil Engineering, Southeast University, Nanjing 210096, China;2, Department of Urban System, University of Ibaraki, Hitachi 316-8511, Japan |
| |
| Abstract: | A statistical damage detection and condition assessment scheme for existing structures is developed.First a virtual work error estimator is defined to express the discrepancy between a real structure and its analytical model,with which a system identification algorithm is derived by using the improved Newton method.In order to investigate its properties in the face of measurement errors, the Monte Carlo method is introduced to simulate the measured data.Based on the identified results,their statistical distributions can be assumed,the status of an existing structure can be statistically evaluated by hypothesis tests.A 5-story,two-bay steel frame is used to carry out numerical simulation studies in detail,and the proposed scheme is proved to be effective. |
| |
| Keywords: | virtual work constitutive parameter parameter estimation hypothesis test |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
