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1、南京航空航天大學(xué)碩士學(xué)位論文先進(jìn)復(fù)合材料格柵加筋結(jié)構(gòu)(AGS)的損傷定位研究姓名:陳振英申請學(xué)位級別:碩士專業(yè):測試計(jì)量技術(shù)及儀器指導(dǎo)教師:徐志偉2010-12先進(jìn)復(fù)合材料格柵加筋結(jié)構(gòu)(AGS)的損傷定位研究 2Abstract Advanced Grid Stiffened Structure (AGS) has received great attention in aviation aerospace fi
2、eld because of its unique advantages. After more than ten years of research, scholars have made great contribution on mechanics properties, analysis methods, fabrication methods et al. And there
3、 still need more on the damage mechanism, damage detection and health monitoring. In this paper, by the study of damage detection methods which applied on engineering structures, we made an ex
4、ploratory research on the damage recognition of the AGS structure through neural network and mode curvature difference. The main works of this paper are as follows: First, we made a research
5、on the building of equivalent stiffness model of the AGS structure, and compared this equivalent model with the finite element model. On the basis, with the previous research, we made a preli
6、minary study on the damage recognition of the AGS structure by PNN neural network. Then, summarized the theories of the mode curvature difference, and the FEM modal was introduced to prove th
7、e effectiveness of the damage recognition of the AGS structure by using this method. And at last, this method was also validated by the modal experiment. There still need a further research
8、on the recognition of damage types and the degrees,as this paper only researched the damage location of the AGS structure. Keywords: Advanced grid stiffened structures, mode curvature, neural ne
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