Damage localization with modeling errors and uncertainties

摘要：

Modeling errors and uncertainties are major obstacles to model-based structural damage localization.When an inappropriate model is chosen for the purpose of damage detection,the identified damage locations and severities can be misleading.This paper focuses on the issues of modeling errors and uncertainties in structural damage localization.A probabilistic framework is proposed to resolve the issues of modeling errors and uncertainties.Two levels of uncertainties will be addressed:uncertainties in model parameters and uncertainties in model selection.The former addresses the issue of the uncertainties in damage localization if the chosen model is appropriate,while the latter addresses the issue of choosing the most appropriate model among several candidate models.A novel stochastic simulation method will be developed to update the above two levels of uncertainties based on monitoring data.Examples will be given to demonstrate the use of the new approach.

关键词： Bayesian analysis damage detection model updating model selection

作者: J.Y. Ching Yi-Chu Chen

作者单位: National Taiwan University of Science and Technology,Taipei,Taiwan,China

会议类型: 国际会议

会议名称: The World Forum on Smart Materials and Smart Structures Technology(SMSST07)(2007年世界智能材料与智能结构技术论坛)

会议地点: 重庆·南京

会议语种:英文

在线出版日期: 2007-05-01（万方平台首次上网日期，不代表论文的发表时间）