基于布点优化与时序判据的静动联合非概率损伤识别研究

项目名称： 基于布点优化与时序判据的静动联合非概率损伤识别研究

项目编号： No.11502278

项目类型： 青年科学基金项目

立项/批准年度： 2016

项目学科： 数理科学和化学

项目作者： 杨辰

作者单位： 中国空间技术研究院

项目金额： 20万元

中文摘要： 针对大型结构损伤识别方法的三种障碍：1）大型结构自由度众多带来的有限测点约束；2）力学反问题病态矩阵缺陷；3）包含于结构边界条件、材料属性、物理参数的不确定性信息将随着结构大型化而大量积累，本项目以大型航天器结构为研究对象，考虑传感器布点限制以及结构与环境不确定性，定义非概率时序损伤判据，探索一种静动联合的非概率损伤识别方法，以实现大型航天器结构损伤识别的有效性和准确性为研究目标。采用非概率不确定性分析方法，结合传感器布点优化技术，揭示采样个数与噪声度等因素的影响规律，通过理论研究和数值模拟手段，推导包含不确定性因素的结构损伤识别的静动联合反演模型，最终建立一套可综合考虑结构与环境中的各种不确定性因素且仅有有限采样信息的结构损伤识别的非概率分析方法，为在复杂空间环境中受到设计载荷作用以及各种突发性外在因素影响而面临的大型空间结构的损伤积累的问题做出有效合理的评估。

中文关键词： 损伤识别；非概率方法；传感器布点优化；时序判据；静动联合

英文摘要： Damage identification approaches suffer from disadvantages with a large full-scale structure in the following areas: 1) There will be a large number of system DOFs which is in contrast to the small number of measurements; 2) Structural identification is inherently an ill-conditioned inverse problem. 3) The uncertainty with the boundary conditions, material, and physical parameters increases with the scale of a structure. Based on the three disadvantages, this project has considered the finite sensor information and uncertainty and defined a non-probabilistic time sequence criterion. This project will explore a damage identification Algorithm which can include static and dynamic towards large scale spacecrafts. The research object can get validity and veracity in large scale spacecraft for damage identification. According to non-probabilistic algorithms and accompanying with the optimal sensor placement (OSP) technology, this project will study the relationship between sampling number and noise level. The static and dynamic combined inverse problem which contains the uncertainty in damage identification can be obtained by theory research and numerical simulation. At last, this project can build a non-probabilistic algorithms in damage identification which has contained the uncertainty in structure and environment, and also with finite sampling. It can become a effective and reasonable evaluation in large scale spacecrafts which may occur damage accumulation in design load under complex space environment and uncertain loads under unexpected complications.

英文关键词： Damage Identification;Non-Probabilistic Algorithm;Optimal Sensor Placement (OSP);Time Sequence Criterion;Static and Dynamic Combined