FAST主动反射面损伤预警及安全评估系统研究

The main reflector system of Five-hundred-meter Aperture Spherical radio Telescope(FAST) include many complex structures. As an important part of FAST, the reliability running of the main reflector is the key to the efficient observation of the telescope. The aging of materials, the long-term effect of load and environmental erosion will cause structural damage and reduce the reliability of the main reflector, which will influence the normal work of FAST. For this problem, this foundation is focus on research of damage warning and safety assessment for the main reflector system. The constructed healthy monitoring system and the vast monitoring data are the basis of this foundation. Firstly, the discrimination algorithm of single sensor is analyzed. Combining with the active displacement rule of reflector, a suitable dynamic adaptive discriminant algorithm model is established. Secondly, based on the monitoring data, the damage identification method of key structural components is studied, and the damage prediction model is established. Finally, the whole mechanical model of the reflector system is built, and the field measured data and damage identification results are integrated to achieve the structural safety state evaluation of the active reflector system, and the integration application of dynamic monitoring and mechanical simulation is completed. The researches of this project will explore a new mode of structural safety assessment, effectively guarantee the reliable operation of FAST telescope, and provide reference for other similar projects.

FAST主动反射面系统结构复杂，是FAST望远镜重要组成部分，其可靠运行是望远镜高效观测的关键。材料老化、荷载长期效应及环境侵蚀都将导致结构的损伤和可靠性能的降低，影响FAST望远镜正常运行。本项申请针对这一问题，依托FAST工程，以搭建完成的FAST主动反射面健康监测系统为基础，通过融合多传感器数据和有限元模型，进行FAST主动反射面损伤预警及安全评估系统的研究。本课题将首先对单传感器数据甄别算法进行研究，结合反射面主动变位规律，建立合适的实时动态自适应甄别算法模型。其次，基于监测数据，研究结构关键构件的损伤识别方法，并建立损伤预警模型。最后，建立反射面系统整体力学模型，融合现场实测数据及损伤识别结果，实现主动反射面系统结构安全状态评估，完成动态监测与力学仿真的融合应用。本项目的研究成果将探索结构安全评估的新模式，有效保障FAST望远镜的可靠运行，为其它类似工程的运行及维护提供借鉴意义。

主动反射面系统是FAST望远镜的重要组成部分，其可靠运行是望远镜高效观测的关键。本项目旨在通过融合多传感器数据处理和有限元分析，评估FAST主动反射面安全状态。本课题采用固定阈值法、数据变化率及关联度技术处理单传感器数据，建立了单传感器数据甄别流程，提高数据可靠性；基于监测数据，采用回归分析、雨流计数法等方法对实测数据进行统计分析，并设置分级预警体系；最后，基于CVI/labwindows软件，融合监测数据及有限元分析，建立主动反射面损伤预警及安全评估系统，实现安全状态有效评估。本项目的研究成果有效保障FAST望远镜的可靠运行，达到了项目的预期目标。