Research On Real-time Status Monitoring And Rapid Damage Repairing System For Optical Fiber Intelligent Structures

Intelligent structures are materials and structures with sensing, controlling and driving components embedded in. Through the stimulation and control from external factors such as machine, heat, light, chemistry, electricity, magnetism and so on, the intelligent structures possess the abilities of recognizing and analyzing status, processing datum, controling movement and etc, which enable the structures to fulfill self-diagnosing, self-adapting, self-studying and self-repairing. When optical fibers are used in materials or structures as sensors, optical fiber intelligent structures, a hot research branch of intelligent structures research fields at present, are formed. Based on the discussion of the basic functions of diagnosis and repair of the optical fiber intelligent structures and the requirements of its applications in engineering, the related optical fiber sensing and status monitoring theories are analyzed in this dissertation. Furthermore, the real-time status monitoring system for optical fiber intelligent structures is designed. Then performances of the light cured materials for damage repairing are discussed and tested, and the effects of the repairing of the light cured repairing materials are analyzed through the rapid light curing experiment of the damaged structure. The main achievements and innovative results are described as following:1) A novel design of the real-time status monitoring and rapid damage repairing system for optical fiber intelligent structures is presented. When the damage appears in the structure, the system would judge and confirm the damage area at first. Then the damage area would be rapidly repaired by the repair system, thus the optical fiber intelligent structure could be repaired partially and it can continue to work on with the real-time status monitoring all the time. This novel system provides a new way for the integrative monitoring and repairing design of the optical fiber intelligent structure.2) With artificial neural network model used in the damage location judging software, the BP neural network and SOM neural network are respectively used in the damaged data process and analysis experiments successfully. Comparing with the common research with the way of BP neural network damage judging, the SOM neural network experiments are conducted in this dissertation and the experimental results show that SOM neural network would successfully fulfill the data process and the damaged area analysis.3) In this research a new method of rapid crack damage repairing with shortwave light for the optical fiber intelligent structure is presented for the first time. A sort of rapid light cured repairing materials is invented and analyzed. The repairing materials could be solidified under the short wave light transmitted through the optical fibers in the intelligent structure or irradiated by the external repair light source to realize the damage repairing. This method develops a novel approach for the rapid damage repairing of the optical fiber intelligent structure.4) Through modern light testing and measurement technology the effect of the damage repairing is discussed and proved. The experimental test pieces are made and the vibrating holographic interferograms are photographed in original, damaged, and repaired samples. By analyzing these three interferograms and the fringes on them, the damage repairing effect and feasibility of the light cured materials could be analyzed and testified.The results of this dissertation would develop a new design method of monitoring and repairing system of the optical fiber intelligent structure and it also provides a valuable reference to the further research of repairing technology in optical fiber intelligent structures.