摘要
基于Information-gap(Info-gap)理论提出了一种非概率的不确定性损伤识别方法。选用模态振型为损伤识别指标,通过Info-gap模型的不确定水平表示测试误差、模态参数识别等因素的不确定程度,采用振型的距离函数作为决策函数,将决策函数的求解转换为优化问题来量化不确定因素对损伤识别的影响。数值算例和实验室模型试验结果均表明,所提方法能正确识别并定位结构出现的单处和多处损伤。
A novel Information-gap-based （Info-gap） damage detection method for uncertainty quantification is proposed in this study. The modal shapes of structures are selected as damage indices, and the uncertainty level of these indices caused by measurement errors and modal identification are described by Info-gap model. The decision function is defined as the distance of modal shape between health and unknown condition of structures, and then the solution of this function is translated into an optimization problem. The results from a numerical simulation and lab-scale structure show that the location and severity of damage can be successfully identified.
出处
《工程力学》
EI
CSCD
北大核心
2016年第B06期257-261,共5页
Engineering Mechanics
基金
国家自然科学基金项目(51578095)
中央高校专项基金项目(CDJRC10200018
CDJZR14205501)
